Alternatives to VideoDB
Compare VideoDB alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to VideoDB in 2026. Compare features, ratings, user reviews, pricing, and more from VideoDB competitors and alternatives in order to make an informed decision for your business.
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1
Google Cloud Platform
Google
Google Cloud is a cloud-based service that allows you to create anything from simple websites to complex applications for businesses of all sizes. New customers get $300 in free credits to run, test, and deploy workloads. All customers can use 25+ products for free, up to monthly usage limits. Use Google's core infrastructure, data analytics & machine learning. Secure and fully featured for all enterprises. Tap into big data to find answers faster and build better products. Grow from prototype to production to planet-scale, without having to think about capacity, reliability or performance. From virtual machines with proven price/performance advantages to a fully managed app development platform. Scalable, resilient, high performance object storage and databases for your applications. State-of-the-art software-defined networking products on Google’s private fiber network. Fully managed data warehousing, batch and stream processing, data exploration, Hadoop/Spark, and messaging. -
2
BAND
BAND.ai
BAND builds enterprise-grade interaction infrastructure for distributed AI agents. Its platform enables real-time, multi-peer collaboration across agents and humans, while providing a runtime control plane that enforces policy, authority boundaries, and visibility across heterogeneous systems. BAND supports developers, engineering teams, and enterprise platform leaders operating multi-agent ecosystems across internal systems, SaaS platforms, and partner environments. -
3
Contextually
Contextually
Contextually is an enterprise AI platform designed to help organizations build and deploy production-ready AI agents that can reason over complex, domain-specific data using advanced context engineering. It provides a unified context layer that connects AI models to large volumes of enterprise knowledge, including documents, databases, and multimodal data, enabling agents to deliver accurate, grounded, and relevant outputs. It allows users to define and configure agents quickly through prebuilt templates, natural language prompts, or a visual drag-and-drop interface, supporting both dynamic agents and structured workflows tailored to specific use cases. It includes tools for ingesting and processing massive datasets from multiple sources, transforming unstructured and structured information into retrievable knowledge with intelligent parsing, metadata generation, and continuous updates. -
4
TinyFish
TinyFish
TinyFish is the web operating layer for AI agents, providing the infrastructure agents need to reliably access and operate across the live web. As AI applications evolve beyond text generation into autonomous systems that gather information, navigate websites, and complete multi-step tasks, fragmented automation stacks and custom-built infrastructure become difficult to maintain. TinyFish unifies web search, content extraction, browser infrastructure, and agentic web interaction within a single platform. Agents can search the live web, extract clean LLM-ready content from modern websites, render JavaScript-heavy pages, and execute authenticated workflows without stitching together multiple vendors or maintaining custom infrastructure. Built for production AI systems, TinyFish emphasizes accuracy, efficiency, freshness, and scalability. By providing clean web context and dependable execution across dynamic web environments, the platform helps developers build AI applications thatStarting Price: $0.016 -
5
OpenAI Agents API
OpenAI
The Agents API lets developers build and run cloud agents with the same harness and infrastructure that powers Codex, fully managed by OpenAI. A production-ready agent can be created with a single API call by specifying the task, model, tools, and environment, while OpenAI hosts and maintains the agent harness. Developers can choose where agents run: in an OpenAI-hosted sandbox, on their own infrastructure, or through supported sandbox partners. OpenAI-hosted sandboxes provide secure environments where agents can run code, work with files, use packages, skills, and plugins, and produce artifacts. The API is designed for long-running work, with automatic context compaction that preserves relevant information as sessions span multiple context windows. Tool search loads relevant tool definitions only when needed, while programmatic tool calling lets agents run calls in parallel, chain related operations, and filter or combine results in code. -
6
StateFabric
J Gregory Technology Ltd.
StateFabric a small infrastructure layer for AI agents that need more context than chat history. Once an agent starts using tools, running for longer sessions between restarts, ‘keep the messages in memory’ doesn’t really cut it. You need to know: - what happened? - what state changed? - which tools were called? - what context should go into the next model turn? StateFabric stores an append-only event log for agent runs, then derives working context from it. Today it supports: - Durable sessions and event storage - User/model/tool event timelines - Reconstructed session state from stored events - Compacted model-facing context - A dashboard for inspecting sessions, raw payloads, compaction artefacts, and usage - Google ADK integration via @statefabric/adk - Direct Node/REST usage via @statefabric/client (for custom runtimes)Starting Price: £10/month -
7
Scalebrowser
Scalebrowser
Scalebrowser is self-hosted browser infrastructure for AI agents that need to finish real work. Each isolated profile keeps the same identity, cookies, passkeys, memory, and tasks across restarts and machines. A patched Chromium engine, real local GPU values, human-like input, captcha handling, email and SMS codes, TOTP, and browser-level prompt control help agents get through the places where ordinary automation stops. Connect over MCP, REST, Node.js, Python, or direct CDP.Starting Price: €19/month -
8
Composio Instant
Composio
Composio Instant is a cloud-based wallet that lets AI agents call paid tools without developers subscribing to each provider or configuring a separate API key for every service. Developers connect Instant to an agent session, choose which tools are available, and use a shared organization balance; charges are recorded in execution logs. Calls draw from that balance at a per-use rate, and new developer organizations receive a one-time $2 starter credit. Available services include web search, data enrichment, scraping, transcription, voice, weather, and document processing. Developers can connect through Composio’s SDKs and MCP-compatible agent clients, including Claude, ChatGPT, Codex, Cursor, Gemini CLI, Grok, and Visual Studio Code. Instant is intended for developers and teams building or operating AI agents that need on-demand access to external capabilities.Starting Price: $29/month -
9
runx
0state
runx is an open-source runtime and command-line tool for creating, discovering, and executing governed skills for AI agents. Developers can define bounded workflows, grant specific credentials and permissions, and run skills locally with their own provider accounts. Runs can pause for approval or missing input, then resume while retaining a signed receipt that can be inspected and verified. Skills can be installed from a public registry and used with compatible agents such as Claude Code, Cursor, and Codex. An optional hosted service adds managed OAuth connections, scoped grants, API-based run submission and inspection, approval handling, and receipt notarization. The CLI can also operate locally or in a self-hosted environment. runx is intended for developers and platform teams building and operating AI-agent workflows that need explicit authority boundaries and auditable execution.Starting Price: $0 -
10
OpenComputer
OpenComputer
OpenComputer is a managed cloud runtime for building and deploying TypeScript AI agents. Developers define agent behavior, select models and tools, and deploy agents with durable sessions, streaming, schedules, memory and versioned environments. APIs and service connections let teams use agents in applications and workflows such as coding assistance and background automation. -
11
Agent Computer
Agent Computer
AgentComputer is a cloud-based infrastructure platform designed specifically for running AI agents in isolated, fully functional virtual environments. It provides “cloud computers” in the form of lightweight Ubuntu-based sandboxes that can be provisioned in under a second, allowing developers to quickly spin up, access, and manage environments through a command-line interface. These environments include persistent storage, meaning any installed tools, files, or configurations remain intact across restarts, enabling continuous and stateful workflows. It is built around an agent-first architecture, where AI agents can directly execute tasks within these environments via SSH, eliminating friction between instruction and execution. It includes an integrated AI harness that supports agents such as Claude, Codex, and other coding assistants, enabling collaborative, multi-agent workflows within the same system.Starting Price: $20 per month -
12
Xora
Xora
Xora is a hosted media-processing API that runs FFmpeg jobs for applications and automated workflows. Developers submit raw FFmpeg arguments or select recipes for tasks such as video compression, trimming, thumbnail generation, audio extraction, concatenation, and web-ready conversion. Jobs run asynchronously and return a job identifier, status and progress; clients can poll for updates or receive webhooks, then retrieve output using a signed download URL or send it to a configured storage bucket. The service also provides media probing, reusable presets, direct uploads, a REST API, OpenAPI documentation, and a remote MCP server for agent tool calls. A dashboard provides job logs, API key management, and usage information. Xora is designed for software developers and teams building SaaS products, media platforms, content workflows, and AI-agent automations that need programmable audio or video processing without operating their own FFmpeg infrastructure.Starting Price: $15/month -
13
Ausca
Ausca
Ausca provides on-demand infrastructure for AI agents and developers through a public service catalog and API. Offerings include document OCR and analysis, audio and video transcription, bounded remote browser sessions, and temporary receive-only email inboxes. Each service has defined inputs, limits, pricing, and instructions. Developers can connect through HTTP with x402 payment, MCP-compatible tools, command-line utilities, or typed clients. Discovery is available without an account or API key; paid execution requires explicit payment authorization. Services charge per invocation or lease, and completed work can return a verifiable receipt. Ausca is designed for developers and agent operators adding document, media, browser, or inbox functions to automated workflows without deploying those services themselves.Starting Price: $0.05/call -
14
Molted
Molted.net
Molted is a managed operating environment for autonomous AI agents. It lets teams deploy, host, monitor, recover, and scale OpenClaw-based agents without building their own cloud, DevOps, integration, and recovery stack. Molted provides agent-ready runtimes with persistent workspaces, browser automation, 1,000+ app integrations, dedicated email and voice per agent, monitoring, automatic recovery, and lifecycle management. Agents can use tools, access websites without APIs, communicate through email/voice/SMS, and keep working continuously. It is built for AI agencies, SaaS builders, OpenClaw consultants, and teams running agent fleets for customer-facing or internal workflows. Molted supports multi-agent management, versioned filesystems, restore points, REST API control, and cloud, on-premise, or sovereign deployments. Molted is not generic hosting; it is the run layer for production AI agents. -
15
Ovrin is a hosted compute platform for developers building AI agents and software that needs to run code in controlled environments. Through a REST API, Python and TypeScript SDKs, or an MCP server, users can create disposable Linux sandboxes, run shell commands and stateful code, manage files and scoped API keys, and retrieve execution output. Preconfigured environments include Claude Code, OpenAI Codex, Gemini CLI, and DeepSeek Harness; browser workflows can use Chrome and Playwright. The platform also offers persistent memory, sandbox lifecycle controls, usage metering, and concurrency limits. Typical uses include coding-agent execution, browser automation, and running model-generated code. Plans include a free tier and paid tiers with additional concurrency and usage-based compute charges.Starting Price: $19/month
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16
Cotlet
Take Group sp. z o.o.
Cotlet is a hosted MCP server and REST API that lets AI agents work with web apps that lack a usable API. Users connect an app and sign in through a personal Chrome browser hosted in the cloud; agents can then call supported read and write actions through MCP, while scripts and backends can use the REST API. Its integration catalog covers tasks such as bookings, travel, customer support, invoicing, and marketing. Cotlet is aimed at developers and teams building agent workflows, as well as automation providers working with clients’ apps. It supports MCP clients including Claude, ChatGPT, Cursor, GitHub Copilot, Gemini, Windsurf, and n8n. Connected apps use the account holder’s signed-in session; Cotlet says it does not store passwords and encrypts browser profiles. Successful calls consume credits, while errors and timeouts do not. The company says integrations are regularly tested and updated when connected apps change.Starting Price: $29 one-time -
17
Flowise
Flowise AI
Flowise is an open-source platform that enables developers and teams to build AI agents and LLM-powered applications through a visual interface. The platform provides modular building blocks that allow users to create everything from simple chatbot workflows to complex multi-agent systems. With its drag-and-drop design environment, developers can rapidly prototype and deploy AI-powered applications without extensive coding. Flowise supports integrations with more than 100 large language models, embeddings, and vector databases. It also includes features such as human-in-the-loop workflows, observability tools, and execution tracing for monitoring agent behavior. Developers can extend applications through APIs, SDKs, and embedded chat interfaces using TypeScript or Python. By combining visual development tools with scalable infrastructure, Flowise simplifies the process of building and deploying production-ready AI agents.Starting Price: Free -
18
OpsAgents CLI Gateway
OpsAgents AI
OpsAgents CLI Gateway gives your AI agents every CLI they need behind one authenticated gateway. Run gcloud, gh, Firebase, Shopify, Trello and more - plus typed JSON routes - through a single remote cloud gateway, with no local installs. Each call is authenticated, scoped and logged: the agent posts the CLI and its arguments, the gateway runs it remotely and returns structured output, and every command is recorded to an audit trail. It is the platform layer under the OpsAgents agent fleet. Plans: Starter $29, Pro $99, Scale $299 per month. By OpsAgents AI.Starting Price: $29/month -
19
Subconscious
Subconscious
Subconscious is a developer-first platform designed to build, deploy, and scale production-ready AI agents by handling the hardest parts of agent architecture automatically. It provides a complete agent system that manages context, orchestrates tools, and enables long-horizon reasoning, allowing developers to focus on defining goals and capabilities rather than stitching together complex infrastructure. It introduces a unified inference engine composed of a co-designed model and runtime that decomposes complex tasks, generates workflows dynamically, and executes multi-step reasoning without manual context engineering or multi-agent orchestration. Unlike traditional approaches that rely on chaining APIs and frameworks, Subconscious enables agents to take in goals and tools, then autonomously plan, reason, and act with minimal human intervention, effectively creating systems that can “get the job done” on their own.Starting Price: $2 per 1M tokens -
20
Phinite
Phinite AI
Phinite provides shared infrastructure for building, deploying, and governing AI agents across orchestration, security, observability, lifecycle management, and environment promotion — so engineering teams don't rebuild these layers for every new agent use case. Core capabilities: Orchestration for multi-agent systems (agent-to-agent, nested calls) Deep session-level observability: execution timelines, decision variables, tool calls, latency/cost tracking Private Agent Registry for skill discoverability Eval suite for accuracy/safety benchmarking Dev-to-Production workflow with environment promotion Kubernetes-native deployment, VPC-internal deployability SOC 2 Type 2 complianceStarting Price: $20/month -
21
Sandbox0
Sandbox0
Sandbox0 is an Apache-2.0 sandbox runtime for long-running AI agents and services that execute untrusted code. It provides isolated Linux environments with command execution, stateful contexts, file operations, SSH, supervised sessions, and network controls. Sandboxes retain a durable writable RootFS across successful pause-and-resume checkpoints; snapshots, restore, and forks support reusable workspaces. The Python, JavaScript/TypeScript, and Go SDKs, HTTP API, and s0 CLI let applications create and manage sandboxes. Sandbox0 Cloud provides hosted access, while teams can self-host the runtime on dedicated Nomad infrastructure. Default pause preserves filesystem state, not live process memory or external connections; experimental memory recovery requires compatible deployment support.Starting Price: $0.015/GiB-hour -
22
Agent Compute Engine
Google
Agent Compute Engine is a managed Google Cloud compute service that provides execution environments for AI agents. Each agent receives a hardware-isolated microVM with its own guest kernel and root-level control. The service supports rapid startup, pausing, checkpointing, snapshots, and resume workflows. Persistent workspaces retain agent files and context across sessions, while copy-on-write memory sharing supports parallel environments from common images. Agents can run code, shell commands, and browser actions in isolated sandboxes, with governed access to enterprise data through Google Cloud networking and identity controls. Developers can configure environment images, identity, network access, and lifecycle while Google manages the underlying compute fleet. The platform is designed for interactive assistants, coding agents, browser-based tasks, and large-scale evaluation and reinforcement-learning workloads. -
23
Macswarm
Macswarm
Macswarm provides hosted macOS Pods on dedicated Apple silicon for Claude Code and Codex. Each Pod includes the latest Xcode, iOS runtimes, pre-booted Simulators, and XcodeBuildMCP, enabling coding agents to build iOS apps, run tests, and capture screenshots. Two to three active agents share a Pod in separate git worktrees, with a two-slot xcodebuild queue. Pods are cloned fresh and destroyed after use, with outbound-only networking and no inbound SSH. Usage is billed per Pod-hour and metered per second; idle Pods stop after ten minutes. EU (Netherlands) and US regions are available. The free plan includes 3 Pod-hours once. Pro is $99/month for 300 Pod-hours, and Team is $399/month for 1,500 Pod-hours. Early-access accounts are onboarded in signup order.Starting Price: $99/month -
24
LangChain
LangChain
LangChain is a powerful, composable framework designed for building, running, and managing applications powered by large language models (LLMs). It offers an array of tools for creating context-aware, reasoning applications, allowing businesses to leverage their own data and APIs to enhance functionality. LangChain’s suite includes LangGraph for orchestrating agent-driven workflows, and LangSmith for agent observability and performance management. Whether you're building prototypes or scaling full applications, LangChain offers the flexibility and tools needed to optimize the LLM lifecycle, with seamless integrations and fault-tolerant scalability. -
25
Sprites
Fly.io
Sprites by Fly.io is a stateful sandbox platform for running arbitrary code in hardware-isolated Linux environments. A Sprite acts like a persistent Linux computer where developers can execute AI agents, user-uploaded binaries, scripts, applications, and other workloads. The platform supports checkpoint and restore, allowing environments to persist and resume instead of starting from scratch each time. Sprites use fast directly attached NVMe storage that continuously syncs to durable external object storage. Developers can create, manage, execute commands, and connect to Sprite consoles through the CLI, REST API, JavaScript, Go, Elixir, and Python tooling. Built for developers and AI infrastructure teams, Sprites gives applications a simple place to safely run code with persistence, sandboxing, usage-based pricing, and scalable execution.Starting Price: $30 per month -
26
Memories.ai
Memories.ai
Memories.ai builds the foundational visual memory layer for AI, transforming raw video into actionable insights through a suite of AI‑powered agents and APIs. Its Large Visual Memory Model supports unlimited video context, enabling natural‑language queries and automated workflows such as Clip Search to pinpoint relevant scenes, Video to Text for transcription, Video Chat for conversational exploration, and Video Creator and Video Marketer for automated editing and content generation. Tailored modules address security and safety with real‑time threat detection, human re‑identification, slip‑and‑fall alerts, and personnel tracking, while media, marketing, and sports teams benefit from intelligent search, fight‑scene counting, and descriptive analytics. With credit‑based access, no‑code playgrounds, and seamless API integration, Memories.ai outperforms traditional LLMs on video understanding tasks and scales from prototyping to enterprise deployment without context limitations.Starting Price: $20 per month -
27
HyperLake
CerebrixOS
HyperLake is built for organizations preparing for a world where AI agents become primary users of infrastructure. Today, most enterprise infrastructure was designed for humans, dashboards, applications, and scheduled pipelines. AI agents behave differently. They query data, call tools, trigger workflows, generate artifacts, operate across systems, and need continuous access to governed compute, data, policies, and services. HyperLake provides the command center to deploy, manage, run, secure, and govern that agentic infrastructure. The first product wedge is Agentic Data Cloud Infrastructure: open-stack data, analytics, semantic, workflow, and agent infrastructure deployed inside the customer’s own VPC, private cloud, or on-prem environment. -
28
Solid
Codapt lnc
Solid is the operating system for always-on AI agents. This AI agent infrastructure runs agent software, allocates resources, connects agents to external systems, and applies shared controls. It provides a persistent runtime, memory, approved computers, identities, accounts, credentials, phone numbers, system access, and controlled spending so work can continue after a chat closes. Agents can use APIs, MCP, code, browsers, desktops, phones, and software interfaces, subject to customer permissions and system policies. Solid can build and test a missing integration, app, API, dashboard, or report needed to finish the job. Customer-set budgets and approvals govern provisioning and purchases. Solid provides agent orchestration plus visibility into available activity, code, resource state, costs, logs, and exceptions, with policies routing sensitive, unclear, or out-of-policy decisions to people. Builders can embed a Solid-powered agent through its API.Starting Price: $40/month/user -
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CrewAI
CrewAI
CrewAI is a leading multi-agent platform that enables organizations to streamline workflows across various industries by building and deploying automated processes using any Large Language Model (LLM) and cloud platform. It offers a comprehensive suite of tools, including a framework and UI Studio, to facilitate the rapid development of multi-agent automations, catering to both coding professionals and those seeking no-code solutions. The platform supports flexible deployment options, allowing users to move their created 'crews'—teams of AI agents—to production with confidence, utilizing powerful tools for different deployment types and autogenerated user interfaces. CrewAI also provides robust monitoring capabilities, enabling users to track the performance and progress of their AI agents on both simple and complex tasks. Additionally, it offers testing and training tools to continually enhance the efficiency and quality of outcomes produced by these AI agents. -
30
Daytona
Daytona
Daytona is a cloud-native development runtime that enables developers and AI agents to instantly create, run, and manage isolated sandboxes for any codebase. Each sandbox runs inside a secure microVM with full Linux compatibility, networking, and persistent storage. Daytona provides SDKs in Python and TypeScript, allowing applications to programmatically execute code, run processes, upload files, or spin up environments dynamically. Teams use Daytona to replace complex local setups with reproducible cloud sandboxes that can be started in seconds and accessed through preview URLs, SSH, or APIs. It’s built for automation, observability, and scalability, powering everything from personal development environments to enterprise-grade agent runtimes. -
31
Hamster
Hamster
Hamster is an AI-first workspace designed to help developers and teams plan, structure, and execute projects by providing persistent context to AI coding agents across tools and workflows. It allows users to define a clear plan, brief, and context that can be injected into multiple AI development tools such as Claude, Codex, Gemini, Copilot, and others, ensuring that every agent operates with the same understanding of the project. Instead of relying on isolated prompts, Hamster centralizes instructions and project knowledge so agents can generate more accurate, consistent, and goal-aligned outputs throughout the development process. It works as a coordination layer for AI-driven building, enabling users to move their plans seamlessly between tools while maintaining continuity and reducing context loss. By supporting a wide range of AI coding environments, Hamster acts as a universal interface that connects different models and systems into a cohesive workflow.Starting Price: Free -
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NoMac
NoMac
NoMac provides cloud macOS virtual machines on Apple silicon for iOS and macOS development. Sessions include macOS, Xcode, iOS simulator runtimes and common developer tools, enabling builds, tests and simulator work without a physical Mac. Developers and coding agents can control sessions through a browser desktop, CLI, SSH, HTTPS API or hosted Model Context Protocol (MCP) server. Workflows include building and testing apps, driving the simulator, capturing screenshots, signing apps and preparing TestFlight uploads. Each session is a fresh virtual machine deleted when stopped. An account drive can retain projects and build caches between sessions. NoMac serves iOS and macOS developers and teams using coding agents that need Xcode, including developers working from Windows or Linux. Usage is billed by the minute from prepaid credit, with a one-minute minimum and per-session spending cap.Starting Price: $0.80/hour -
33
Vision Agents
Stream
Vision Agents is an open source Python framework for building low-latency voice and video AI agents with any model. It lets developers plug in LLM, speech, and vision models from more than 25 providers and ship real-time agents for telehealth, voice support, live coaching, video analysis, interactive avatars, security monitoring, sports commentary, and other multimodal applications. It is designed to help teams build agents that can listen, speak, see, process media, call tools, and respond in real time while running on Stream’s global edge network with sub-500ms latency. Developers can build a first agent in minutes, using a small Python setup with Gemini Realtime, OpenAI, Deepgram, ElevenLabs, Stream, or other supported providers. Vision Agents supports both real-time speech-to-speech models and custom STT/LLM/TTS pipelines, giving teams either the fastest path to a working voice agent or full control over speech recognition, language reasoning, text-to-speech, etc.Starting Price: Free -
34
StreamerPro
StreamerPro
StreamerPro turns a Windows PC into a local 4K digital signage player and 24/7 video streaming station. It is designed for users who want local playback, playlists, overlays, webcam, screen capture, audio routing, FFmpeg encoding, local recording and RTMP streaming without relying on proprietary signage hardware or per-stream cloud subscriptions. StreamerPro supports YouTube Live, Twitch and RTMP workflows, local files, NAS storage, VLC/MPC-BE playback options, diagnostics and recovery features depending on configuration. It is a practical Windows-based alternative for digital signage, visual radio, storefront screens, showrooms, events and continuous 24/7 video channels.Starting Price: 20 EUR one-time -
35
LlamaIndex
LlamaIndex
LlamaIndex is a “data framework” to help you build LLM apps. Connect semi-structured data from API's like Slack, Salesforce, Notion, etc. LlamaIndex is a simple, flexible data framework for connecting custom data sources to large language models. LlamaIndex provides the key tools to augment your LLM applications with data. Connect your existing data sources and data formats (API's, PDF's, documents, SQL, etc.) to use with a large language model application. Store and index your data for different use cases. Integrate with downstream vector store and database providers. LlamaIndex provides a query interface that accepts any input prompt over your data and returns a knowledge-augmented response. Connect unstructured sources such as documents, raw text files, PDF's, videos, images, etc. Easily integrate structured data sources from Excel, SQL, etc. Provides ways to structure your data (indices, graphs) so that this data can be easily used with LLMs. -
36
FFmpeg
FFmpeg
A complete, cross-platform solution to record, convert and stream audio and video. FFmpeg is the leading multimedia framework, able to decode, encode, transcode, mux, demux, stream, filter and play pretty much anything that humans and machines have created. It supports the most obscure ancient formats up to the cutting edge. No matter if they were designed by some standards committee, the community or a corporation. It is also highly portable: FFmpeg compiles, runs, and passes our testing infrastructure FATE across Linux, Mac OS X, Microsoft Windows, the BSDs, Solaris, etc. under a wide variety of build environments, machine architectures, and configurations. The FFmpeg project tries to provide the best technically possible solution for developers of applications and end users alike. To achieve this we combine the best free software options available. We slightly favor our own code to keep the dependencies on other libs low and to maximize code sharing between parts of FFmpeg. -
37
Composio
Composio
Composio is a platform that enables AI agents to seamlessly interact with external tools and applications. It provides pre-built integrations with over 1,000 apps, allowing agents to execute tasks across services like Slack, Gmail, GitHub, and more. The platform handles complex processes such as authentication, tool execution, and sandboxed environments automatically. Composio supports dynamic tool selection, ensuring agents use the right tools based on user intent. It also enables secure, parallel execution of workflows in isolated environments. Developers can build agents that move beyond conversation to perform real-world actions. By simplifying integrations and execution, Composio helps turn AI agents into powerful, task-performing systems.Starting Price: $49 per month -
38
Agent Substrate
Google
Agent Substrate is an open-source runtime for operating isolated, stateful agent and code-execution sandboxes on Kubernetes. It coordinates actor and worker lifecycles, places active workloads on a shared pool of ready capacity, and can suspend idle environments while preserving memory and filesystem state for later resumption. Sandboxes use gVisor or Cloud Hypervisor microVM isolation, with per-actor identity and network controls. Agent Substrate is designed for platform and infrastructure teams building agent-hosting services, coding environments, and other workloads that execute untrusted or intermittent tasks. The core project is Kubernetes-portable; Google Cloud also provides GKE-optimized deployment tooling. Optional Filestore agent volumes can persist workspaces across suspend and resume cycles.Starting Price: $0 -
39
Shotcut
Meltytech
Shotcut is a free, open source, cross-platform video editor. Supports hundreds of audio and video formats and codecs thanks to FFmpeg. No import required which means native editing, plus multi-format timelines, resolutions and frame-rates within a project. Frame accurate seeking supported for many video formats. Blackmagic Design SDI and HDMI for input and preview monitoring. Screen, webcam and audio capture. Network stream playback. Supports resolutions up to 4k and capture from SDI, HDMI, webcam, JACK & Pulse audio, IP stream, X11 screen and Windows DirectShow devices. Multiple dockable and undockable panels, including detailed media properties, recent files with search, playlist with thumbnail view, filter panel, history view, encoding panel, jobs queue, and melted server and playlist. Also supports drag-n-drop of assets from file manager. -
40
FlixiCam StreamOne
FlixiCam
FlixiCam StreamOne is an all-in-one solution for video downloading. With its versatile features, it enables users to effortlessly download movies and TV shows from popular streaming platforms such as Netflix, Amazon Prime Video, Disney+, YouTube, Hulu, Max, Paramount+, U-Next, Apple TV+, Peacock, DMM, Hotstar, and more. FlixiCam StreamOne also supports recording videos from any online streaming sites. If the video is playable in the built-in browser of FlixiCam StreamOne, it can be recorded.Starting Price: $89.9/year -
41
Reflexio
Reflexio
Reflexio is an AI-agent learning platform for developers building and operating agents. It ingests agent interactions, execution traces, tool calls, and user corrections through an SDK, REST API, CLI, or supported tracing-platform connections, then extracts recurring failures into reusable playbooks and user profiles. At runtime, an agent can retrieve relevant learned guidance before responding. The Hosted Enterprise portal lets teams inspect, edit, approve, reject, search, and evaluate learnings. Reflexio helps agents apply corrections across interactions without changing model weights. Teams can use the managed cloud service, configure their own model-provider keys, or self-host in AWS, Google Cloud, or Azure. Enterprise trace imports are available from Braintrust, Langfuse Cloud, and LangSmith Cloud; Reflexio also provides a mem0 wrapper and an OpenClaw integration.Starting Price: $0/month -
42
OpenServ
OpenServ
OpenServ is an applied AI research lab building the infrastructure for autonomous agents. Our next-generation multi-agent orchestration platform combines proprietary AI frameworks and protocols with supreme user simplicity. Automate complex tasks across Web3, DeFAI, and Web2. We’re accelerating the agentic field through numerous academic partnerships, in-house research, and community-focused research initiatives. See the whitepaper detailing the architecture of OpenServ. Seamless developer experience and agent development with our SDK. Receive early access to our platform, white-glove support, and an opportunity to shape the future. -
43
Mistral AI Studio
Mistral AI
Mistral AI Studio is a unified builder-platform that enables organizations and development teams to design, customize, deploy, and manage advanced AI agents, models, and workflows from proof-of-concept through to production. The platform offers reusable blocks, including agents, tools, connectors, guardrails, datasets, workflows, and evaluations, combined with observability and telemetry capabilities so you can track agent performance, trace root causes, and govern production AI operations with visibility. With modules like Agent Runtime to make multi-step AI behaviors repeatable and shareable, AI Registry to catalogue and manage model assets, and Data & Tool Connections for seamless integration with enterprise systems, Studio supports everything from fine-tuning open source models to embedding them in your infrastructure and rolling out enterprise-grade AI solutions.Starting Price: $14.99 per month -
44
Archestra
Archestra
Archestra is an open source, self-hosted AI platform for deploying and governing agents across an organization. It provides agentic chat for non-developers, apps and skills, shared projects, a server-side agent runtime, MCP orchestration, permission-aware RAG, LLM and MCP proxies, security guardrails, and observability in one platform. Users sign in with SSO, and every tool call runs under that person’s own identity rather than a shared service account. Projects keep chats, files, scheduled tasks, and instructions together, while agents run in sandboxed containers and can start from schedules, emails, or webhooks. MCP servers run in the organization’s own Kubernetes environment and move through security-reviewed promotion flows with separate credentials and network policies. Knowledge bases can connect Confluence, Jira, drives, and internal documents while preserving source-system ACLs, so users only retrieve content they are already allowed to access.Starting Price: Free -
45
KERNEL
Kernel
KERNEL is a cloud browser infrastructure platform for developers building AI agents and browser-based automation. It provides managed browser sessions that agents can use to navigate websites, interact with page content, and perform tasks through code rather than relying on a local browser setup. The service is designed for production workloads, with persistent browser profiles, live browser viewing, session recording and replay, and controls for managing browser access. Teams can connect agent workflows through KERNEL's APIs, SDKs, and hosted MCP server, and use the platform for web research, data gathering, and other tasks that require interacting with websites. Plans for individual developers, startups, and enterprise teams include different browser concurrency, usage credits, and access to capabilities such as managed authentication, stealth mode, and regional browsers.Starting Price: $0/month -
46
Wideframe
Wideframe
Wideframe is an AI agent designed to accelerate the large portion of video production work that happens outside the traditional non-linear editor. It analyzes and indexes entire footage libraries using transcripts, scene detection, and semantic understanding, so every frame becomes searchable without manual tagging or scrubbing. Users can query their media in natural language, instantly finding clips by meaning rather than filenames, and the system behaves like a virtual assistant editor that understands the full context of connected projects. Wideframe converts creative intent into action by automatically pulling selects, building bins, and assembling Premiere Pro–ready rough cuts in minutes, dramatically reducing pre-edit workload. It also generates research briefs, scripts, and contextual media assets grounded in the user’s own footage to avoid generic AI output. -
47
Nimbus
Nimbus Intelligence, Inc.
Nimbus is collaborative. It is one platform where your team communicates together, collaborates with AI agents, automates work in loops, and where executives govern and control how AI is used. Communicate: people talk on the work itself, the brief, the files, the decisions, instead of pasting drafts between private chats nobody can reconstruct later. Collaborate: teams and agents work on the same job. Agents help research, draft, and propose next steps. People stay in the room and finish together. Automate: once a job works, it can run as a loop, the same process, again, with people pulled in when a decision is needed. Not a one-off prompt. Work that keeps going. Govern: leaders can see who is using AI, set the rules for what it may do, and keep a named person in control before anything important is committed. Most companies already have AI in personal tools, side experiments, and pilots nobody owns.Starting Price: $99/month -
48
Nemotron 3 Nano Omni
NVIDIA
NVIDIA Nemotron 3 Nano Omni is an open, omni-modal foundation model designed to unify perception and reasoning across text, images, audio, video, and documents within a single efficient architecture. It eliminates the need for separate models for each modality, reducing inference latency, orchestration complexity, and cost while maintaining consistent cross-modal context. It is purpose-built for agentic AI systems, acting as a perception and context sub-agent that gives larger AI agents the ability to “see, hear, and read” in real time across screens, recordings, and structured or unstructured data. It supports advanced multimodal reasoning tasks such as document understanding, speech recognition, long audio-video analysis, and computer-use workflows, enabling agents to interpret dynamic interfaces and complex environments. Built with a hybrid architecture optimized for long context and throughput, it can process large inputs like multi-page documents.Starting Price: Free -
49
Membase
Membase
Membase is a unified AI memory layer platform designed to help AI agents and tools share and persist context so they “understand you” across sessions without forced repetition or isolated memory silos, enabling consistent conversational experiences and shared knowledge across AI assistants. It provides a secure, centralized memory layer that captures, stores, and syncs context, conversation history, and relevant knowledge across multiple AI agents and integrations with tools such as ChatGPT, Claude, Cursor, and others, so all connected agents can access a common context and avoid repeating user intents. Designed as a foundational memory service, it aims to maintain consistent context across your AI ecosystem, reducing friction and improving continuity in multi-tool workflows by keeping long-term context available and shared rather than locked within individual models or sessions, and letting users focus on outcomes instead of re-entering context for each agent request. -
50
Dead Simple Email
Dead Simple Email LLC
Dead Simple Email is an email API that gives AI agents and automated workflows real email inboxes. Create an inbox with one API call, send from real addresses over REST or standard IMAP/SMTP, and receive replies as structured webhooks. Inbound messages are scanned for prompt injection before delivery, and a dashboard shows the full history of what each agent sent and received. Plans start free with 5 inboxes; 100 inboxes for $29/month, priced per inbox rather than per seat.Starting Price: $29/month (100 inboxes)
