🔥 A Survey on AI Auto-Research
AgenticX is a unified, production-ready multi-agent platform — Python SDK + CLI (agx) + Studio server + Machi desktop app. Features Meta-Agent orchestration, 15+ LLM providers, MCP Hub, hierarchical memory, avatar & group chat, skill ecosystem, safety sandbox, and IM gateway (Feishu/WeChat).
The local-first operating system for building, running, and improving AI agents, workflows, and autonomous goals.
An Aspire reference architecture for cloud-native microservices and agentic AI with MCP, A2A & AG-UI
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.
Halofy is the open access and governance layer for AI agents across your organization. Identity, policy, provenance, audit, and signed erasure.
Open protocol for AI agent work contracts and verifiable execution — authorization, evidence, and acceptance for multi-agent systems
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.
A multi-agent research system for the humanities and social sciences.
A persistent, reviewed multi-agent runtime for long-horizon research and engineering.
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.
ACL 2026 Code and Skills for “AMA: Adaptive Memory via Multi-Agent Collaboration”.
Coordinate multiple AI coding agents through a local-first, recoverable Agent Bus.
🧪 Awesome list of AI Scientist papers, systems, benchmarks, datasets and open-source platforms.
Loop engineering for software development. Turn any repository into a self-organizing AI engineering team — 8 specialists, contract-driven, evidence-gated, parallel feature voyages.
VetarAI 是一款全原生 Swift 的本地桌面应用:多 Agent 协作、可视化工作流、拉模式知识仓库+本地语义检索、多模型超级工作室、CU 电脑操作。数据保存在本地磁盘。
Adaptive Human-Agent Teaming (HAT) & Smart Company (SmC) Infrastructure This repository implements a Human-Model-Free adaptive agent architecture. Instead of relying on rigid, computationally expensive human behavioral models, the system leverages real-time trajectory analysis and the Cross-Entropy
dsh-agent-team gives DeepSeek Harness agents that don't reset: durable Members with their own memory, notes, and skills across sessions, rollovers, and restarts. You set the direction; agents coordinate through Channels and Tasks.
Autonomous SAP S/4HANA & ServiceNow Supply Chain Multi-Agent Swarm on Azure AI Foundry with Two-Phase Commit Safety
A general-purpose terminal AI agent with traceable knowledge sharing and dispute resolution|面向终端的通用 AI 助手,可独立运行或参与团队协作,让 Agent 共享可检索、可追溯的知识,并通过自动分析与人工裁决处理分歧。
Pre-inference tool and agent routing for MCP, A2A and tool-rich LLM systems. Reduce candidate tools before model inference with policy-aware routing and recovery.
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Dissenyador visual de workflows i graphs d’IA agentiva · Diseñador visual de workflows y graphs de IA agéntica · Visual designer for agentic AI workflows and graphs
A beginner-friendly, hands-on workshop on multi-agent AI: build a hotel review response workflow with Sim and OpenRouter.
A production-oriented multi-agent AI Agent system for software engineering. | 面向软件研发任务的多智能体 AI Agent 工程系统
An illustrated multi-agent village strategy game. Set objectives; residents gather, build, upgrade and recruit. Battle, inspect decisions and test AI agents. No API key required.
Curated map of 3,000+ open-source AI agent tools: coding agents, agent frameworks, MCP servers, RAG, memory and local LLMs, sorted by layer and ranked by GitHub stars.
A native Rust multi-agent operating system and swarm workspace — GPUI desktop chamber, headless gluon daemon, git-worktree isolation and an automatic merge gate.