Coding & Dev AI Tools
Openwork
AI agent for automating knowledge work tasks across your tools
Openwork is an AI agent platform that automates repetitive knowledge work by connecting to workplace tools like email, calendars, and documents to complete tasks on behalf of users. It uses agentic reasoning to handle multi-step workflows end-to-end. Targeted at professionals and teams looking to delegate routine digital work to an AI assistant.
Claude Code
Anthropic's agentic AI coding tool that lives in your terminal
Claude Code is an official agentic CLI tool by Anthropic that brings Claude directly into the developer's terminal and editor. It can read, write, and refactor files across a codebase, run shell commands, and execute multi-step coding tasks autonomously. Built for developers who want a powerful, safe AI coding agent without leaving their existing workflow.
OpenCode
Terminal-based AI coding agent powered by any LLM provider
OpenCode is an open-source terminal AI coding assistant that supports multiple LLM backends including OpenAI, Anthropic, and local models. It provides an interactive TUI interface for chatting about code, running edits, and executing terminal commands within a project context. Suited for developers who want a lightweight, provider-agnostic agentic coding CLI.
Hermes Agent
Nous Research's open-weight agentic model for tool-use tasks
Hermes Agent is an agentic AI system by Nous Research built on their Hermes series of open-weight models, optimized for function calling, tool use, and structured outputs. It is designed to handle complex multi-step tasks with reliable JSON output and API interaction. Suited for researchers and developers who want a capable, open-weight model for agentic pipelines.
MLflow
Open-source platform to manage the full ML lifecycle end-to-end
MLflow is an open-source platform by Databricks for tracking experiments, packaging models, and managing deployments across the ML lifecycle. It supports any ML library through a simple Python API and stores parameters, metrics, and artifacts automatically. Widely used by data scientists and ML engineers in both research and production environments.
Wren AI
Open-source AI data analyst that speaks SQL to your warehouse
Wren AI is an open-source AI Business Intelligence platform that connects to data warehouses and lets teams query data through natural language. It generates SQL, renders charts, and understands business context via a semantic layer. Designed for data teams and analysts who want self-service analytics without writing SQL.
Helicone AI
Open-source LLM observability: log, monitor, and optimize AI calls
Helicone is an open-source observability platform that proxies LLM API calls to provide logging, cost tracking, latency metrics, prompt versioning, and caching. It integrates with a one-line code change and supports OpenAI, Anthropic, and Azure. Built for AI teams who need production-grade monitoring without heavy infrastructure.
Msty
Beautiful offline-first desktop app for running local AI models
Msty is a polished desktop AI chat application that runs local models via Ollama and also connects to cloud providers like OpenAI and Anthropic from one interface. It offers conversation branching, model comparison, and document chat. Suited for power users who want a premium UI for both local and cloud LLM interactions.
Google AI Studio
Prototype and test Gemini models with a free browser interface
Google AI Studio is a free, browser-based developer environment for testing and building with the Gemini family of models, including Gemini 1.5 Pro's million-token context. It supports multimodal inputs, text, images, audio, video, and generates API keys and code snippets for fast integration. Ideal for developers exploring Gemini's capabilities before building full applications.
Jan
Run open-source LLMs fully offline on your own computer
Jan is an open-source desktop application that runs large language models entirely locally on Mac, Windows, and Linux without any cloud dependency. It features a ChatGPT-like interface, an in-app model hub, and OpenAI-compatible API server mode. Perfect for privacy-conscious users and developers who want offline AI without sending data to the cloud.
Repomix
Pack your entire repo into one AI-friendly file instantly
Repomix is an open-source CLI tool that bundles an entire codebase into a single, well-formatted text file suited for LLM ingestion. It supports XML, Markdown, and plain text output, respects .gitignore, and offers token count estimates. Great for developers who need to feed large codebases to AI models efficiently.
LM Studio
Discover, download, and run local LLMs with a friendly GUI
LM Studio is a desktop application for discovering, downloading, and running open-source LLMs on Mac, Windows, and Linux using local CPU and GPU resources. It includes a ChatGPT-style chat UI, model library browser, and a local OpenAI-compatible server. Popular with developers and enthusiasts who want effortless local model experimentation.
OpenRouter
One API to route requests across 200+ AI models and providers
OpenRouter provides a unified REST API that lets developers access models from OpenAI, Anthropic, Google, Meta, Mistral, and dozens more through a single endpoint. It handles provider fallback, cost comparison, and rate-limit routing automatically. Ideal for developers and startups building model-agnostic AI applications.
Amazon Q
AWS's AI assistant for business built for cloud and code
Amazon Q is AWS's generative AI-powered assistant tailored for business and software development use cases. It helps developers write, debug, and explain code within IDEs, and assists enterprise users with querying internal data, generating reports, and automating workflows using AWS services. Deeply integrated with the AWS ecosystem for cloud-native teams.
Vanna.ai
Train an AI model on your schema and query data in plain English
Vanna.ai is an open-source Python framework that lets you fine-tune a retrieval-augmented LLM on your own database schema and query history. It translates natural language questions into accurate SQL and can run in a notebook or Slack bot. Designed for data teams who need a customizable, private text-to-SQL solution.
aider
AI pair programmer that edits your codebase from the terminal
aider is an open-source command-line tool that lets developers pair-program with GPT-4, Claude, and other LLMs directly in their terminal. It reads repo context, applies multi-file edits, and commits changes with meaningful messages automatically. Best suited for developers who prefer a CLI-first, git-integrated AI coding workflow.
Windsurf
Agentic AI IDE that codes alongside you in real time
Windsurf (by Codeium) is an AI-native IDE built around an agentic assistant called Cascade that can plan, write, and execute multi-step coding tasks. It features deep codebase awareness, in-editor chat, and autonomous file editing. Designed for professional developers who want an AI partner that acts, not just suggests.
Lovable
Build full-stack web apps from a prompt with no code
Lovable is an AI full-stack app builder that generates React frontends backed by Supabase databases from plain-English descriptions. Users can iterate on features through conversational prompts, deploy instantly, and connect custom domains. Targeted at founders, product managers, and developers who want to ship apps without boilerplate.
Continue
Open-source AI code assistant that plugs into your IDE
Continue is an open-source AI coding assistant that integrates directly into VS Code and JetBrains IDEs. It supports any LLM provider. OpenAI, Anthropic, local models, for inline completions, chat, and refactoring. Developers get full control over model choice and context, making it ideal for teams wanting flexible, self-hostable AI coding workflows.
AI For Developers
Curated AI tools and resources built for developers
AI For Developers is a curated directory of AI tools, APIs, and resources tailored specifically for software engineers and developers. It surfaces practical AI integrations, libraries, and services to help developers build smarter applications faster. The platform focuses on actionable, developer-centric AI resources rather than general consumer tools.
Read AI
AI meeting assistant that summarizes, transcribes, and scores meetings
Read AI is an AI-powered meeting assistant that automatically joins video calls on Zoom, Google Meet, and Teams to transcribe, summarize, and extract action items. It also provides engagement scores and speaker analytics to improve meeting effectiveness. Widely used by teams seeking to reduce manual note-taking and capture insights from every meeting.
Qwen
Alibaba's powerful open-source LLM family for diverse tasks
Qwen is Alibaba Cloud's series of large language models available in multiple sizes, excelling at multilingual tasks, coding, math, and reasoning. Many Qwen models are released open-source, making them accessible for research and commercial deployment. The family includes specialized variants for vision, audio, and long-context understanding.
Chatbot UI
Open-source self-hostable ChatGPT interface with full customization
Chatbot UI is an open-source, self-hostable web interface for interacting with OpenAI's API, offering a clean ChatGPT-like experience with system prompt customization, model switching, and conversation management. Built by Mckay Wrigley, it is widely used by developers who want full control over their AI chat environment without relying on OpenAI's own interface.
Chat With PDF by Copilot.us
Interact with and extract answers from PDF documents via AI chat
Chat With PDF by Copilot.us allows users to upload PDF files and ask questions, extract summaries, and retrieve specific information through a conversational interface. It handles research papers, contracts, reports, and books with ease. Targeted at students, legal professionals, and business analysts who work with document-heavy workflows.
Keploy
Auto-generate API tests and mocks from real traffic recordings
Keploy is an open-source testing platform that automatically generates unit tests, integration tests, and data mocks by recording live API traffic from an application. It dramatically reduces the manual effort needed to write and maintain tests, helping backend engineering teams improve code coverage and catch regressions faster.
Ollama
Run large language models locally on your own machine
Ollama is an open-source tool that makes it easy to download and run state-of-the-art large language models like Llama, Mistral, and Gemma locally on macOS, Linux, and Windows. It provides a simple CLI and API, giving developers and privacy-conscious users full control over their AI without sending data to the cloud.
Portia AI
Agentic AI platform that plans and executes complex tasks reliably
Portia AI is an agentic workflow platform that helps developers build reliable AI agents capable of multi-step task planning and execution. It provides tools for agent memory, tool use, and clarification handling so agents can complete complex real-world tasks autonomously. Designed for teams building production-grade AI pipelines.
co:here
Enterprise NLP platform for building production-grade AI apps
Cohere provides enterprise-focused large language model APIs for text generation, embedding, classification, and semantic search. Its platform is optimized for business use cases and offers deployment flexibility including on-premises and private cloud options, targeting developers and enterprises building reliable, scalable NLP applications.
Langfuse
Open-source LLM observability and prompt management platform
Langfuse is an open-source platform for tracing, monitoring, and debugging LLM applications. It captures traces of prompts, completions, and tool calls to help teams detect issues, measure costs, and improve quality. It also offers prompt versioning and A/B testing, making it a comprehensive LLMOps tool for engineering teams.
Prediction Guard
Secure, compliant API gateway for enterprise LLM deployments
Prediction Guard provides a secure API layer for accessing and deploying LLMs with built-in safety, compliance, and data privacy controls. It screens inputs and outputs for PII, toxicity, and factual consistency, making it suitable for regulated industries. Teams use it to integrate AI safely without exposing sensitive data to third-party models.
LMQL
A programming language for constrained and efficient LLM interaction
LMQL (Language Model Query Language) is an open-source programming language designed for interacting with large language models. It lets developers write queries that constrain LLM outputs using control flow, types, and scripting logic, enabling structured generation and reduced token waste. Ideal for developers who need deterministic, structured responses from LLMs.
Pagerly
AI-powered on-call and incident management inside Slack
Pagerly is an on-call and incident management platform that integrates directly into Slack, enabling teams to handle alerts, rotations, and escalations without leaving their chat tool. It uses AI to summarize incidents, suggest responders, and automate runbook actions. Built for DevOps and SRE teams who manage on-call workflows at scale.
Maxim AI
LLM evaluation and testing platform for production AI quality
Maxim AI is an evaluation and testing platform that helps teams measure and improve the quality of LLM-powered applications. It supports prompt testing, regression tracking, and custom evaluators to catch regressions before deployment. Designed for AI engineers and product teams who need systematic quality assurance for generative AI features.
Wordware
No-code AI application builder using natural language prompts
Wordware is a no-code platform that lets teams build AI-powered workflows and applications using natural language as the primary interface. Users can compose multi-step AI pipelines, connect external tools, and deploy apps without writing code. Ideal for non-technical teams and founders who want to ship AI products quickly.
Hexabot
Open-source chatbot builder for multi-channel AI conversations
Hexabot is an open-source chatbot building platform that enables teams to create and deploy AI-powered conversational bots across multiple channels including web, WhatsApp, and Messenger. It provides a visual flow editor, NLP integration, and plugin support for customization. Aimed at developers and businesses who want full control over their chatbot stack.
AI/ML API
Unified API marketplace for 200+ AI and machine learning models
AI/ML API is a single API platform that aggregates access to over 200 AI models including LLMs, image generators, speech, and embeddings from providers like OpenAI, Anthropic, and Stability AI. It offers competitive pricing, pay-per-use billing, and OpenAI-compatible endpoints. Ideal for developers who want one integration point for multiple AI capabilities.