Havuz

Lightweight multi-agent trading analysis framework with A-share, HK, and US market support

Local-first, model-agnostic LLM agent-harness research. Restart planned after a hiatus; existing code and historical claims await revalidati

A complete engineering team in one folder: 26 specialist agents, 20 workflow skills, orchestrated workflows and quality gates.

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

Open-source agentic AI operating layer for hospital operations — multi-agent orchestration over FHIR-connected HIS data, built on LangGraph

ThorOS - a voice-controlled, AI-first Linux distribution built on Debian 13. Say what you want; on-device AI plans it and permissioned agent

Local-first Agent communication runtime and gateway for A2A, MCP, E2EE messaging, REST/Webhook, and multi-agent collaboration.

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

Role-based multi-agent expert team for DeepSeek Harness: one sentence in, a staged and gated team delivery out. 12 role subagents, 9 gated p

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

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

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

ACL 2026 Code and Skills for “AMA: Adaptive Memory via Multi-Agent Collaboration”.

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.

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

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.

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

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

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.

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.

Local-first runtime for observable, debuggable AI-agent workflows with slidable autonomy and multi-agent/tool orchestration.

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

Evidence-grounded AI secretary for Claude Code and Codex, with frozen context, deterministic retrieval, bounded quality review, and explicit

Entente — provenance engineering for coding agents: handoffs become confirmable, verifiable, retryable contracts; agents form a network with

Beginner-friendly Sol-led orchestration for Codex with pinned Luna and Terra workers and verified review.

Retrieval-augmented generation: training-free document-assessment routing for cost-efficient multi-agent RAG.

An agent that builds, plays, and verifies its own game ? a colony-sim prototype gated by 15-scenario input-level repro tests + isolated-grad

BloodHound-style risk analysis for multi-agent AI architectures. Parses CrewAI, Dify, LangGraph, or generic YAML into a typed capability gra