Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Autonomous and multi-agent systems, agent frameworks, planning and tool use.
Signals: ai-agent, ai-agents, agents, autonomous-agents, agent-framework, multi-agent, multi-agent-systems, agentic
3,254 results
Generative Agents: Interactive Simulacra of Human Behavior
Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view
A general memory system for agents, powered by deep-research
Building a Secure and Interoperable Future for AI-Driven Payments.
Implementing cognitive architecture and psychological memory concepts into Agentic LLM Systems
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Building Agentic AI Systems, published by Packt
Core 7 layers of production grade agentic system
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An experimental project demonstrating Infinite Agentic Loop in a two prompt system using Claude Code.
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The Agentic Commerce Protocol (ACP) is an interaction model and open standard for connecting buyers, their AI agents, and businesses to complete purchases seamlessly. The specification is currently maintained by OpenAI and Stripe.
Research Agent service for the Agentic Workflow course
A framework for managing complex projects with spec-driven multi-agent workflows.
Implementing the 4 agentic patterns from scratch
Agentic Design Patterns
Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.
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An agentic workflow tool that provides context engineering support for opencode
AxisAgentic: An Extensible Runtime and Trajectory-Collection Framework for Long-Horizon Agents.
Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment
Anonymous Multi-Agent Path Finding (MAPF) with Conflict-Based Search and Space-Time A*
VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.
More is Different. A multi-agent world engine where AI agents live, talk, compete, ally.
24,540 repositories in the index in total.
