Every AI tool worth knowing, in one place

CLI coding assistant that edits your codebase, runs tests, and commits changes via git. Works with Claude, GPT-4o, Gemini, and local models.

Anthropic's collection of reference MCP servers: filesystem, GitHub, Slack, PostgreSQL, Puppeteer, Google Drive, and more — ready to connect to Claude and any MCP client.

Get up and running with LLMs like Llama 4, Gemma, and Phi on your Mac, Linux, or Windows machine — no cloud required.

Feature-rich, offline-capable web interface for running LLMs locally. Works with Ollama, OpenAI API, and any OpenAI-compatible endpoint.

Local knowledge graph for Claude Code. Builds a persistent map of your codebase so Claude reads only what matters — 6.8× fewer tokens on reviews and up to 49× on daily coding tasks.

Research-backed multi-agent framework from Microsoft. Agents converse with each other and humans to solve complex tasks via code execution, tool calls, and planning.

Open-source vector database for storing and querying embeddings. Runs in-memory, on-disk, or as a server. Native LangChain and LlamaIndex integrations.

IDE extension that connects any LLM to your editor for autocomplete, chat, and inline editing. Fully customisable — use any model, any context source.

Framework for orchestrating teams of specialized AI agents. Role-based agents collaborate on complex tasks. $20M+ in VC funding. Apache-2.0.

Stanford framework that replaces prompt engineering with optimisers. Define your program logic, then DSPy compiles it into optimised prompts and fine-tunes using your examples.

Deepset's open-source framework for building production-ready LLM pipelines. Component-based architecture for RAG, question answering, summarisation, and agent systems.

Python library that patches any LLM client (OpenAI, Anthropic, Gemini) to return validated Pydantic models instead of raw JSON strings, with automatic retry on failure.

One of the most widely used frameworks for building LLM-powered agents and chains. Extensive integrations. Raised $125M at $1.25B valuation (Oct 2025). MIT.

Python SDK and proxy server that standardises calls to OpenAI, Anthropic, Gemini, Bedrock, and 100+ models behind a single OpenAI-compatible interface.

Python and TypeScript framework for building RAG pipelines and agents over structured and unstructured data. 160+ loaders, vector store integrations, and agentic workflows.

Lets LLMs execute Python, JavaScript, and shell commands locally. Interactive terminal REPL — describe what you want done and the model writes and runs the code.

Agent framework from the Pydantic team. Define agents with typed tools and structured outputs, tested with testable dependency injection and model-agnostic design.

Production-grade vector database with filtering, scalar quantisation, and a REST + gRPC API. Available as a Docker image, managed cloud, or embedded.

Official TypeScript/JavaScript SDK for streaming text, structured data, and tool calls from any LLM. First-class React/Next.js hooks for real-time streaming UIs.