LightAgent: Lightweight Python framework for OpenAI-compatible agents with tools, memory, guardrails, tracing, lifecycle hooks, multi-agent collaboration, and workflows.
Govern, Observe, Direct - a real-time control room for agent societies
An extensible framework for custom, self-evolving AI agents, with configurable agent packages, tools, skills, and multi-round recursive self-improvement (RSI).
Agent-driven automated CVE discovery platform for source code auditing, vulnerability verification, and report generation.
A Python-based lightweight robot simulator designed for navigation, control, and learning
Open-source, self-hosted Claude Code - a terminal AI assistant and the Python framework behind it. Tool-calling, sandboxed execution, multi-agent teams, skills, checkpoints, unlimited context - on Pydantic AI, any model.
Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
Autonomous LLM Trading Asterism — a research-only multi-agent trading platform with evidence-first research, an auditable console, Shadow simulation and explicitly authorized broker execution.
A Python-first runtime layer for multi-agent systems, with persistent run state, streaming execution events, and a pluggable orchestration interface.
An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments
The complete post-training stack for LLMs, plus RL for any problem. SFT, DPO and multi-turn agentic RL, with evolutionary hyperparameter optimization built in.
Agent samples built using the Strands Agents SDK.
Your AI agent in 30 seconds. Not 30 hours. Self-hosted, open-source personal AI with desktop installer, multi-agent Command Center(Deep Work), and 7-layer security. Anthropic, OpenAI, or Ollama.
Open‑WebUI Tools is a modular toolkit designed to extend and enrich your Open WebUI instance, turning it into a powerful AI workstation. With a suite of over 15 specialized tools, function pipelines, and filters, this project supports academic research, agentic autonomy, multimodal creativity, workflows, and more
[ICLR'26] The official code implementation for "Cache-to-Cache: Direct Semantic Communication Between Large Language Models"
Multi-model orchestration layer for Claude Code — the frontier model plans, cheaper models execute, verification guards quality. One-prompt install.
An automated AI research-paper writer based off Google's PaperOrchestra paper's implementation through a skills - benchmark + autoraters using any coding agent (Claude Code, Cursor, Antigravity, Cline, Aider). No API keys, no LLM SDKs.
An Asynchronous Reinforcement Learning Engine for Omni-Modal Post-Training at Scale
Distributed agent coordination platform where agents live, connect, coordinate, execute, and evolve together — like an organization.
HunterCode · Community Edition · 腾讯 WorkBuddy 金融版的开源本地替代方案 · open-source, local alternative to Tencent WorkBuddy Finance Edition · 多智能体投研终端 A股/港股/美股 · 推理在你机器上跑 · 仓位不出你硬盘 · BYOK · Apache 2.0 · docker compose 自托管
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Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks, this platform introduces evolving environments where agents must adapt their strategies as new information becomes available, mirroring real-world challenges.
A training-free multi-agent framework for recursive self-improvement in new environments through broad-then-deep autonomous exploration and reusable memory.
AI Agent 教学仓库 | 系统化 LangChain、RAG、LangGraph、MCP 全栈实战代码 | 万字博客详解 | 开源可运行示例 | 从零构建智能体
Write research paper and literature review drafts with an open-source Python engine that checks citation DOIs against scholarly databases. Export PDF, Word, or LaTeX.
Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.
A Trusted Human-Multi-Agent Reinforcement Learning Interaction Framework
A multi-agent travel assistant system built using the **Agent2Agent (A2A)** protocol and **MCP (Model Context Protocol)**
A lightweight multi-agent system
结合多大模型分析与确定性代码风控的自主量化交易系统 | Autonomous crypto trading system with multi-LLM analysis, deterministic Python risk control & OKX execution.
Open protocol for AI agent work contracts and verifiable execution — authorization, evidence, and acceptance for multi-agent systems
VibeGame: Vibe Your Dream Game -- An open-source self-evolving multi-agent framework with an AI-Native game engine that turns your natural language into a fully playable 2D web game and edit it any way you want, built on Claude Code & Codex.
Evolutionary multi-agent runtime that breeds, evaluates, and improves autonomous agents across reproducible epochs to converge on optimization of a goal.
Coordinate Claude, Codex and Cursor windows with shared tasks, acknowledgements, prechecks, parallel tests, source-bound proofs and independent review. Built-in skills recall lessons, simplify code and forecast work. Track progress, decisions and evidence in a bilingual local dashboard, with MCP plugins. Browse skills and verified security audits.
Poirot is a deep research agent kernel built for those who care about how agents are architected.
Local-first, auditable multi-agent control room for coding, review, evidence, and private remote work.
A local, multi-agent workspace designed like a messenger-style app. You can add custom teammates and chat with them individually, or create group chats and choose exactly which teammates to include. The whole experience feels like a familiar messaging app—but with much more powerful multi-agent collaboration capabilities.
Code-only runtime toolkit for cost-aware multi-agent organization and control
Embodied-intelligence simulation backend for multi-agent orchestration and Unreal Engine integration.
Edge-cloud Multi-Agent execution framework for embodied intelligence, connecting AI agents to real devices with verifiable actuation and entropy-bounded recovery.
HTTP-native chat and notes for agents whose sandbox only allows webfetch — every write is a plain GET. Runs technocore.chat.
A local office coworker · Chat to deliver Word, Excel, PPT, and official documents Fat desktop client · Local-first · Bring your own keys · Single-agent / multi-agent
The open-source agentic framework to build, orchestrate, and operate production AI agents.
Terminal-first, knowledge-grounded multi-agent software delivery pipeline: scope requirements, implement changes, run tests, and gate pull requests with deterministic QA and ensemble code review.
Tame3D research framework: evidence-grounded multi-agent 3D reasoning with scene-level conformal uncertainty alignment
AI Simulation Interview — Multi-Agent Orchestration (Ai模拟面试,多agent,免费开源)安装即用
EvoQuant is a self-evolving AI research agent specialized in quantitative investment research. It runs the full research loop autonomously
A persistent, reviewed multi-agent runtime for long-horizon research and engineering.
Multi-agent AI system for drug-target identification and due diligence.
Your durable workspace across AI agents.
AgentRadio: Passive Awareness for Long-Horizon Multi-Agent Collaboration
Autonomous multi-agent pentest framework — plans, exploits, verifies (proof-required), CVSS-scores and writes client-ready reports. 104/104 (100%) on the XBOW validation benchmarks, powered by Kimi K3.
Self-hosted coordination for AI workers: per-task graphs, device/model timelines, progress receipts, and source-aware usage. MIT.
An open protocol for distributed multi-agent autoformalization.
A minimal, readable agent-framework kernel — understand how LangGraph/ADK work under the hood. 1800行代码的 agent 框架内核,理解 LangGraph/ADK 底层的工作原理
ACL 2026 Code and Skills for “AMA: Adaptive Memory via Multi-Agent Collaboration”.
Enterprise AI customer-service Agent platform featuring hybrid intent recognition, multi-agent orchestration, MCP-powered RAG, dynamic Skills, memory, human handoff, observability and evaluation. 小祥智能客服系统,支持可追溯、可观测与云端部署。
Local-first AI decision workspace with four competing perspectives, human approval, evidence tracking, and native macOS and Windows apps.
An experimental playground for open-source, all-in-one office AI for universities: code, docs, spreadsheets, slides, browser – all are the AI's workspace. Local-first, event-driven, auditable, with both TypeScript and Python implementations.