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A framework for the creation of autonomous agent services.

A Python-based framework for building multi-agent systems with LLMs. Currently in pre-launch alpha.

Constitution-first AI orchestration: one Charter (YAML) defines mission, budget & rules. CEO plans → CFO approves → Ledger tracks every cent & token → Auditor scores. 16 workers, Stripe, MCP. Think. Audit. Execute.

Explore the must-have external ready-made toolkits to integrate with your AI agents built with Python and TypeScript

Adaptive Agentic AI Reasoning using Microsoft Agent Framework -- Join the Discord for suggestion or support ! https://discord.gg/ebgy7gtZHK

A lightweight, extensible Python framework for building and orchestrating single or multi-agent AI systems. | 一个轻量、可扩展的 Python 框架，用于构建和编排单智能体或多智能体 AI 系统。

AI-powered browser automation for Go — describe tasks in plain English, let the agent handle the clicks.

A multi-agent event planning workflow built with Microsoft Agent Framework - combining Semantic Kernel's enterprise orchestration with AutoGen's multi-agent patterns.

Eremos is a lightweight framework for deploying autonomous swarm agents that detect early on-chain activity across Solana.

SemantiClip is an intelligent video processing application that transforms video content into rich, structured written formats. Built with Microsoft Agent Framework, SemantiClip automates the transcription, segmentation, and content generation process - demonstrating agents orchestration with the use of SLM & LLM.

Ultra-efficient personal AI assistant powered by Crystal

Secure autonomous AI agent fleet platform — Docker-isolated, multi-provider, with built-in cost controls. OpenClaw alternative for production use.

The composable standard reasoning agent

A web dashboard and runtime for orchestrating AI coding agents

A selective learning and memory substrate for agentic systems — typed, revisable, decayable memory with competence learning and trust-aware retrieval.

◉ Universal Intelligence: AI made simple.

Python framework for building scalable multi-agent systems with built-in orchestration, LLM integration, and intelligent task processing. Features dynamic scaling, fault tolerance, and advanced load balancing.

📚 AI 智能体入门与大模型 LLM 系统实战教程 | 《AI 智能体实战速成指南：从零到企业级落地》 · LangChain / Coze / Dify / MCP / RAG / Agent / 提示词 · 企业级部署与微调

A framework that uses multi-agents to enable users to perform a systematic data science pipeline with just two inputs.

A radically simple, reliable, and high performance template to enable you to quickly get set up building multi-agent applications