Curated AI & LLM tools.
77 hand-picked open-source projects. Try them in the playground, download as a ZIP or jump straight to GitHub.
Language for controlling large language models. Mix templating, control flow and generation in one expression.
Framework for programming — rather than prompting — language models. Compiles LLM pipelines into self-improving, reproducible programs.
Open-source embeddings database for AI apps. Run in-process, in a server, or in the cloud.
GitHub's official MCP server. Lets Claude (or any MCP client) browse repos, open issues, create PRs, and triage from inside the chat.
Production-ready LLM framework focused on RAG pipelines. Modular components for retrieval, generation and evaluation.
OpenAI's framework for benchmarking LLMs and an open-source registry of evals. Industry-standard test harness.
Open-source autonomous-agent framework with a polished GUI for designing, running and managing AI agents.
Stateful agents with long-term memory. OS-inspired hierarchical memory lets agents remember across sessions far beyond the context window.
Open-source Zapier alternative. AI-aware connectors, self-host or cloud, build automations in your browser.
AI browser automation framework in TypeScript. Combines deterministic code with natural-language actions — best of both worlds.
Access large language models from the command-line
Generate structured text and JSON from any LLM. Guarantees the output matches your schema or grammar.
AI-native vector database. Combines vector search with structured filtering and GraphQL-style queries.
Open-source LLM engineering platform — tracing, prompt management, evaluations, datasets, playground.
Command-line productivity tool powered by AI. Describe what you want, sgpt suggests the right shell command.
Terminal-based AI dev tool focused on planning and executing large multi-file changes. Branching, version control built-in.
Config-driven LLM fine-tuning. YAML in, fine-tuned model out — abstracts away the boilerplate of every major training stack.
Open-source AI coding agent built for the terminal. Beautiful TUI, model-agnostic, project-aware.
Pre-processing library for AI pipelines — extract text and tables from PDFs, Word, HTML, EML and 25+ other formats.
Type-safe agent framework from the Pydantic team. Structured outputs, dependency injection, model-agnostic.
Build real-time voice and video AI agents. Plug in any LLM + TTS + STT — LiveKit handles the WebRTC plumbing.
CLI and library for evaluating, testing, and red-teaming LLM apps. Side-by-side prompt comparisons in your CI.
AI-powered E2E testing in natural language. Write tests like "log in then click checkout" — the agent figures out the selectors.
Open-source LLM observability — traces, evaluation, datasets, retrieval debugging. OpenTelemetry-native.