AI Agent Frameworks & Integration
10 repos
Libraries and frameworks for building AI agents that communicate with external systems and each other, with a focus on agent-to-agent (A2A) protocols and multi-agent orchestration. The cluster emphasizes Python implementations alongside supporting Go and shell-based tooling, covering both the core agent communication patterns and practical integration examples. Key themes include generative AI integration, model context protocol (MCP) support, and standardized patterns for agent interoperability across languages and platforms.
Python · 3
Go · 2
Shell · 2
Java · 1
Jupyter Notebook · 1
TypeScript · 1
a2a ·66,357
agents ·65,777
a2a-server ·56,302
a2a-protocol ·55,902
a2a-mcp ·55,353
generative-ai ·55,353
linux-foundation ·51,454
ai ·10,914
mcp ·10,055
go ·9,225
