An open-source system that turns AI coding assistants into autonomous video studios, handling research, scripting, asset generation, and final render.
Agents
big names · picking up speedThis curriculum closes the gap between calling AI APIs and understanding the loss curves underneath.
Pi bundles a unified LLM API, agent runtime, and interactive coding CLI into a monorepo that treats every dependency update as a potential attack.
A curated registry of reusable instruction packages that keep Claude and other agents from reinventing the wheel on every task.
This plugin lets Claude Code users summon OpenAI Codex for read-only reviews, adversarial design critiques, or background task delegation without leaving the chat.
Browser-use gives AI agents a Playwright-backed browser so they can navigate sites, fill forms, and complete tasks that simple APIs can't reach.
QwenPaw is a self-hostable personal AI assistant that plugs into your chat apps and coordinates multiple agents to handle tasks while keeping your data local.
Headroom sits between your agents and the LLM to compress tool outputs, logs, and RAG chunks, delivering the same answers with a fraction of the tokens.
It is an open-source bridge between large language models and the instant messaging apps you already tolerate.
A library of domain-specific system prompts that turns generic AI assistants into specialized team members with job descriptions, workflows, and communication styles.
To teach agentic design patterns through videos, notebooks, and documentation auto-translated into more than 50 languages.
FastMCP exists because turning a Python function into an LLM-accessible tool shouldn’t require reading a protocol spec.
Cognee gives AI agents persistent memory by treating documents as a living knowledge graph rather than a vector dump.
Graphiti continuously ingests structured and unstructured data into temporal context graphs so agents can query what is true now—or was true at any specific moment—without rebuilding the graph from scratch.
A local-first, Rust-built AI agent that connects to 15-plus LLM providers and 70-plus tools, now governed by the Linux Foundation instead of a single company.
Reference servers that show how to plug LLMs into files, Git, memory, and time zones—if you read the warning labels first.
A curated directory of Model Context Protocol servers that helps developers discover which AI integrations exist, from databases to browser automation.
Mastra gives TypeScript developers a full-stack toolkit for building autonomous AI agents and workflows, bundling model routing, memory, evals, and observability into a single framework.
PageIndex replaces vector similarity search with hierarchical tree reasoning to retrieve complex documents more accurately.
To stop developers from reinventing agent basics by providing 52+ runnable notebooks spanning conversational bots to multi-agent systems.





