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Lightweight (and therefore powerful) Rust agent framework inspired by Browser Use's Agent SDK

The League of Agents (OpenLOA): An extensible orchestration framework for creating personalized AI agents with modular tools and custom interfaces. (智能体联盟 (OpenLOA)：一个可扩展的编排框架，用于通过模块化工具和自定义界面创建个性化 AI 智能体。)

Self-describing UI framework for AI agents — 50 Material Design 3 web components with runtime introspection

AI agent for scientific claim verification with LLM reasoning and Neo blockchain scoring.

MALS — Multi-Agent Living Space: A blackboard-architecture-based multi-agent collaboration framework

A modular multi-agent framework for transparent, tool-augmented decision making.

The official architecture and reference implementation for the SprintLoop Enterprise OS — an AI-native SDLC and agentic development framework for enterprise teams.

A minimal, bus-driven Python framework for LLM agent orchestration that decouples communication, versioned prompts, and multi-agent patterns—helping AI architects build scalable, vendor-neutral agent systems without infrastructure lock-in.

Multi-agent AI teams that work like real software organizations. Orchestrate Claude Code, Codex & Gemini CLI with human team dynamics - delegation, collaboration, Jira integration.

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An operating system for autonomous AI agents — 5-tier cache-first routing (97.5% cost reduction), Ed25519 constitution enforcement, 130 agents, 106 plugins. Rust.

Self-refining AI agents for software development — critique every session, accumulate evidence, and automatically improve their own system prompts. Works with Claude Code & GitHub Copilot.

Agent Collaboration Hub: Multi-Agent System (PM/SA/PG) for Requirements Analysis & Code Generation.

Interactive AI agent built with Ollama that enables conversational interactions with web search capabilities. Features multi-turn conversations, real-time web research, and robust error handling using local LLM models.

CLI for AI coding agents: persistent tasks, memory, events, and deterministic resume across crashes and session resets.

Zero-token execution layer for AI agents — define workflows once, execute forever. DAG engine with reasoning nodes, event sourcing, scheduling, and secret vault via 6 MCP tools over SSE.

BACH v3.7.1 — Text-based OS for LLMs. Personal Agentic OS with 109+ handlers, 373+ tools, 932+ skills, portable agents, MCP servers, bridge system (Telegram/REST), LLM chain orchestration, and full EN/DE multilingual support.

Currency exchange agent built using Microsoft Agent Framework hosted in scalable Azure Container App

Convenience layer over Semantic Kernel for Python

Integration Agent Framework and Agent 365 to extend Agent for 👀monitoring and 🔮M365 MCP