Production-grade, contracts-first framework for AI agents in Python — vendor-neutral, audit-ready.
#agent-framework
164 posts
Simple, flexible workflow orchestration for multi-agent AI apps, with YAML configuration, runtime safety, observability, and resume support.
JS bindings for Cross-Language MCP Orchestrator, think of LangChain + Vercel AI kit but for MCP
BACH v3.12.4-earth: local-first text-based OS for LLM agents with SQLite memory, 113+ handlers, 550+ tools, MCP servers, scheduler and multi...
Spec-driven development framework — AI agents that think before they type
Open-source AI agent platform for building, deploying, and managing AI teammates. Role-based agents (PM, Engineer, Support, Marketing) with...
Python bindings for Cross-Language MCP Orchestrator, think of LangChain + Vercel AI kit but for MCP
Agent orchestration & security template featuring MCP tool building, agent2agent workflows, mechanistic interpretability on sleeper agents,...
The AI automation platform, self-hosted. Describe the job in chat and LiveContext builds it: readable workflows, scoped AI agents, and small...
FastAPI server and CLI for Agentflow. Auto-generates a REST API from your agent graph, with JWT/custom auth, RBAC authorization, rate limiti...
Portable AI runtime inspired by docker-compose. Compose agents, RAG pipelines, and MCP servers in one YAML file and run them anywhere.
Functional Python agent framework with MCP support, enterprise security, immutable state, and production-ready observability for building sc...