AI Apps That Run in Your Browser

llama.cpp is a local LLM inference engine for developers building AI applications or running models on hardware they control. It supports language and vision-language models, with command-line tools and a server API for using the engine directly or connecting other software.

OpenRAG is a self-hosted platform for searching documents and asking questions about them through an AI chat interface. It brings Langflow, OpenSearch, and Docling together for developers and teams that want a document knowledge base with control over its retrieval workflows. It's open source under Apache 2.0 and supports self-managed deployment with Docker or Podman.

Pooled runs a single open model across laptops, desktops and phones in browser tabs. It lets people combine their devices' memory to use a model that wouldn't fit on one device, for shared chat or coding tasks.

Activepieces is a self-hosted automation platform for teams that want AI agents and app workflows on their own servers. It runs with Docker or Kubernetes, alongside a managed cloud offering. Self-hosting controls where the app runs; connections to Anthropic, OpenAI, AWS Bedrock or Google Gemini still send model requests to those providers using your credentials.

Free Claude Code lets developers use coding agents with local models or a choice of cloud providers. It connects existing clients to a shared model catalog rather than requiring a separate coding workflow.

FreeLLMAPI gives developers one API for experimenting with cloud models and local backends. The router runs locally, but cloud inference still sends requests to the providers you enable.

Deep Research is a self-hosted AI agent for people who want web research with traceable evidence and a library they control. It runs in Docker on your own machine or server, searches the web in successive rounds, and uses gaps in its findings to decide what to investigate next. Reports include citations, per-source notes with quoted evidence, and suggested follow-ups.

Dograh is an open source voice AI platform for teams building agents that answer or place phone calls. It's a self-hosted alternative to Vapi and Retell, with control over conversation flows and a choice of AI providers.

DeepTutor is a self-hosted AI tutor for learners who want to study their own materials through a browser or CLI. It supports Docker deployment and uses configured model providers for its AI capabilities. Hosting the app locally is separate from model inference; requests to a remote provider leave the host.

LiteRT-LM is Google's open-source framework for developers building apps that run language models on the user's device. It uses LiteRT for local inference across mobile devices, desktops and browsers, with GPU and NPU acceleration. The project uses the Apache 2.0 license.

Hindsight is a memory system for developers whose AI agents need to carry facts and experience across sessions. It combines stored memories into observations and maintains answers to recurring questions as more information arrives.

IndexTTS is a local text-to-speech system for people creating spoken audio and developers adding speech generation to applications. It can reproduce a voice from a single reference recording.

MoneyPrinterTurbo is a self-hosted AI video generator for creators producing shorts from topics or keywords. It automates the production workflow while letting you supply your own content at each stage.

SD.Next is a self-hosted web interface for artists and researchers who want to create and edit AI images and videos on their own hardware. It supports Stable Diffusion and other diffusion models.

nanobot is a self-hosted personal AI agent for people who want an assistant that can act on files and continue work across conversations. Its Python framework also suits developers building their own assistant integrations.

OpenCodeReview is a locally installed AI code review CLI for developers who want findings tied to specific code lines. It sends code to a configured LLM endpoint through OpenAI- or Anthropic-compatible APIs. The local CLI handles the review process; model inference depends on that endpoint.

Claude Mem gives coding assistants persistent project memory, so developers can carry earlier decisions and failed approaches into later sessions without explaining them again.

ComfyUI is a visual AI workflow editor for creators who want control over generation and editing. Its node canvas lets you connect models and processing steps, inspect their settings and reuse the resulting workflows without writing code.

Open WebUI is a self-hosted chat workspace for individuals and teams using local LLMs and cloud models. It can work entirely offline with local models.

FalkorDB is a self-hosted graph database for developers building GraphRAG applications and AI agents that retrieve connected facts. It stores entities, relationships and their attributes, with Cypher queries and vector search for finding relevant information. Docker runs the database on your own hardware; a separate hosted cloud service is also available.

LightRAG is a self-hosted framework for developers building AI assistants that answer questions across documents. It connects related facts across files, including material where relationships matter, such as legal and financial records.

RuoYi AI is a self-hosted AI assistant platform for teams building assistants that answer questions about their documents or perform tasks with external tools. It has separate user and admin interfaces.

Octogent is a local web dashboard for developers coordinating several Claude Code sessions on one codebase. Its UI and API run on your machine, where it stores job context and transcripts. The supported workflow requires Claude Code. With its standard cloud connection, prompts and model outputs go to a remote provider; Octogent hosts the dashboard and task coordination.

sqlite-vec adds vector storage and search to SQLite for developers building local AI apps or other software that uses embeddings. It keeps vectors and related application data in the same database.

picoLLM is an on-device LLM inference SDK for developers adding text generation to their apps. Inference works offline, but a Picovoice account and AccessKey are required, and key validation needs an internet connection.

Codeg is an AI coding workspace for developers who use several agents and want to coordinate their work without losing context between tools.

WeKnora is a self-hosted AI knowledge platform for teams that want to query documents, carry out tasks using them and organize them into a wiki. These functions share the same knowledge bases.

OpenLLM is a self-hosted LLM server for developers connecting applications to models on their own hardware or servers. Its OpenAI-compatible interface lets existing clients use those models without adopting a separate API.

Vellium is a desktop AI app for writers and people who want conversations with fictional characters. It combines multi-character roleplay with writing projects and lets you choose the model provider.

Lethe is a local document de-identification app for people who work with confidential contracts, client records or deal documents and want to use AI without sharing the names involved. It replaces names with consistent placeholders, then restores them in AI-generated replies, including summaries and translations.

TTS WebUI is a self-hosted browser interface for people creating speech and music or processing audio with AI models. It brings these tasks into one place, with model choices for different kinds of audio work.

Deepchecks is a Python toolkit for data scientists and ML teams checking datasets and models before deployment and watching for problems in production. Its testing, CI and monitoring components reuse the same checks across those stages.

PrivateGPT is a self-hosted API layer for developers building applications around local models. It requires a separate inference server, such as Ollama, llama.cpp, vLLM or LocalAI; it doesn't run models itself.

xberg, formerly Kreuzberg, is a local document extraction engine for developers building AI search and document processing applications. It turns files into text and structured content that those applications can use.

FastLLM is an open-source inference engine for people running large language models on their own machines or self-hosted servers. Its main draw is hardware flexibility: large mixture-of-experts (MoE) models can spread their weights across GPU memory, system RAM and disk when they don't fit entirely on a graphics card.

Open Generative AI is an AI image and video studio for creators who want to generate media on their own hardware. Local inference is available only in the desktop app.