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An institutional-intelligence operating system: a council of 14 agents that remembers every deliberation, grades its own predictions against

Multi-agent engineering with cold review, artifact validation and resumable run state.

Evidence-gated Obsidian brain for bounded multi-agent improvement loops.

A virtual agentic office in 3D where four AI robot agents (Evan, Lummi, Athena, Zed) chat, collaborate and get work done. Zed, the reception

Multi-agent orchestration for Claude Code, Codex and Cursor: parallel coding agents that settle shared files before the merge, QA agents tha

Halofy, organizasyonel bilgiyi AI agents ile paylasirken identity, access control, provenance ve audit kurallarini tek bir katmanda yoneten bir yazilimdir.

Neden yükseliyor · 36 gunde 335 yildiz, projeye erken ilgi oldugunu gosteriyor; ancak ilginin nedenini olcumlerden belirlemek mumkun degil. Son 28 gunde commit ve farkli yazar sayisi sifir oldugundan, bu ilgi guncel gelistirme temposuyla desteklenmiyor.

More is Different. A multi-agent world engine where AI agents live, talk, compete, ally.

Engineering deterministic, production-grade systems around non-deterministic LLMs — FSM, durable execution, retries, DAGs, agent runtimes, m

A reference operating model for organizations where any role can be filled by a human or an agent, every process is built for agents first,

Online-adaptive multi-agent framework for enterprise API orchestration. Adaptive circuit breakers, SLA-driven routing, hybrid LLM+rule inten

CHAP, the Collaborative Human Agent Protocol, is a MCP/A2A-compatible runtime for auditable human-agent work: approvals, overrides, handoffs

Autopus-ADK is of the agents, by the agents. for the agents. Multi-model orchestration (consensus/pipeline/debate/fastest). Architecture-as-

3-tier agentic ChatOps (n8n + GPT-4o + Claude Code) implementing all 21 patterns from "Agentic Design Patterns" — solo operator managing 137

Autonomous AI-agent orchestration engine for job discovery with decision traces, tool adapters, and production-grade run control.

Adaptive Human-Agent Teaming (HAT) & Smart Company (SmC) Infrastructure This repository implements a Human-Model-Free adaptive agent archite

Markdown that steers an LLM is code. Genesis is the architectural layer for designing multi-agent, multi-skill systems -- with named pattern

TRINITY in Elixir (An Evolved LLM Coordinator): route LLM calls via a small-model hidden-state router + Axon coordination head, with Thinker

Claude Code, Codex CLI, Gemini CLI ve diğer yapay zekâ destekli coding agent’larını tek merkezden yöneten açık kaynaklı bir multi-agent orch

Hivekeep is a self-hosted platform of autonomous, persistent personal AI agents. Your AI team. At home.

Building a Production-Grade MCP Server Architecture with a Multi-Agent System

A locally-running multi-agent human in the loop system for deep, interdisciplinary research with only 4 dependencies.

A Multi Agent Memory MCP That Connect Agents Across Systems and Machines

memweave is a zero-infrastructure, async-first Python library that gives AI agents persistent, searchable memory — stored as plain Markdown

Grade every agent, scraper and model in a claim's chain — provenance, trust scoring and audit evidence for LLM pipelines

Multi-agent research automation framework for LLM agents, with adversarial lab meetings, paper-review rounds, auditable Markdown workflows,

Open, self-hostable organization-of-record for AI agents — the accountable layer above any framework. Autonomy is earned, not assumed.

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，

Sandboxed Python environments with the uv workflow. Registry-only installs, read-only dependencies, and deny-by-default networking. Local-fi

Pre-inference tool and agent routing for MCP, A2A and tool-rich LLM systems. Reduce candidate tools before model inference with policy-aware

Losslessly compress the tool output your AI agent sends the model, prove every value survived, and report the exact tokens removed. Run it a

A2A protocol wrappers that turn AI backends into interoperable agents. Drop a JSON config, get a spec-compliant A2A server. Supports GitHub

Dissenyador visual de workflows i graphs d’IA agentiva · Diseñador visual de workflows y graphs de IA agéntica · Visual designer for agentic

A beginner-friendly, hands-on workshop on multi-agent AI: build a hotel review response workflow with Sim and OpenRouter.

Tour de contrôle locale en pixel art pour surveiller et piloter ses équipes d'agents d'IA sous Herdr.

A pure-Python structured memory benchmark for multi-agent LLM systems — context graph vs vector RAG vs raw history dump, five scenarios, 18

MCP server + CLI that lets Claude Code agents delegate tasks to agents in other project directories. Multi-agent orchestration: parallel dis

HYBRO Hub: local & remote AI agents — private, powerful, unified.

Dynamic graph runtime for building, adapting, and observing multi-agent LLM systems in Python.

A native Rust multi-agent operating system and swarm workspace — GPUI desktop chamber, headless gluon daemon, git-worktree isolation and an

Refactored fork of the sourcemap-leaked Claude Code CLI

Treat many repos as mono repos. Provide easy, scoped context to your agents. Use in parallel.

Fork decisions into living simulations with 1,000 personalities. Watch alternate realities diverge and explore second-order effects.

An open-source, self-hostable AI operating system and development workspace. Powered by Electron and React 19, it features multi-agent orche

Make AI agents aim higher without losing control: a Claude Code skill with two bars per task, a cheap gate check before expensive work, and

Local Sovereign Multi-Agent Swarm OS & Cockpit for Autonomous AI Coding Agents. 28 Personas, 45 Core MCP Tools, Sub-10ms Trigram Search, Zer

Graph-native studio, runtime integration, and self-hosted observability for mutable multi-agent LLM workflows.

Markdown-first, human-gated multi-agent editorial workflow with explicit research, planning, writing, and review artifacts.

20 runnable LLM agent design patterns in Python, benchmarked, traced, offline-compatible. ReAct, multi-agent, constitutional AI, and more.

The factory that builds software — and itself. A runtime for self-improving agentic loops: the tracker is the control plane, git is the trut

An autonomous multi-agent AI workspace that automates job hunting. Features native PDF parsing, ATS scoring, multi-engine job scraping, Play