A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.
Appears on
Quick read
Latest capture 2026-10-08 03:10
Archive status reflects the last catalog sync, not a maintenance assessment. Check recent releases, issue responses, and fit for your project with the repository shortlisting checklist.
6 paths
Agent instructions and tool configuration found in this repository.
Agent instructions 3
CodeRabbit
Codex 2
6 observed captures since 2026-06-10. Observed captures are shown by default.
Stars from first capture +534
Observed captures only
All tracked data
Observed snapshots
Observed snapshots
Nearest indexed repositories by embedding similarity.
Durable execution framework for AI agents in Go. Keeps agent state, tool calls, and execution loops resilient across process crashes.
Build, run and scale AI agents like API and microservices
Self-Programming AI Agent Framework. Agents create and refine their own workflows.
Build autonomous Python agents with native Agent-to-Agent (A2A) communication
Build effective agents using Model Context Protocol and simple workflow patterns
PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, RAG, and support for 100+ LLMs.
