AI agent orchestration
cft0808/edict is an OpenClaw-based multi-agent orchestration system with nine specialized AI agents, a real-time dashboard, and full audit trails, using a Chinese governance-inspired workflow.
Same problem, same approach. Swapping one for another is a config change, not a rewrite.
Same OpenClaw-based governance-style orchestration; choose it if its preconfigured agent roles match your workflow.
Open-source multi-agent collaboration system inspired by Chinese governance — deploy and coordinate specialized AI agents with OpenClaw.
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
Cross-vendor agent rooms on your own infra; pick it to avoid OpenClaw lock-in.
Open-source room for humans + cross-vendor AI agents. Every agent gets its own name, memory, skills, and workstation. Any runtime, your infra — no per-agent fees.
Unifies Codex, Claude Code, and OpenClaw into one agent system; choose it for multi-tool parallel execution.
Multi-agent AI orchestration platform for automation, workflows, and developer tools. Golutra transforms Codex, Claude Code, and OpenClaw into a unified agent system with parallel execution, task orchestration, long-running workflows, and AI productivity workspace.
TypeScript dynamic DAG coordinator on any LLM; pick it for runtime graph planning and a TS stack.
TypeScript AI agent orchestration framework with dynamic workflows. Describe the goal, not the graph: a coordinator plans the task DAG at runtime and runs it on any LLM (Claude, ChatGPT, Gemini, DeepSeek, or local models).
Dashboard-led orchestrator with a skills system; pick it for agent-to-agent messaging across vendors.
AI Agent Orchestrator with Skills System - Give AI Agents superpowers: memory search, code graph queries, agent-to-agent messaging. Manage Claude, Codex or any AI Agent from one dashboard. Move Agents between computers and locations
Microsoft's production framework for multi-agent workflows in Python/.NET; choose it for cross-language enterprise development.
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
Ultra-lightweight self-hosted personal agent framework with WebUI; choose it for a compact single-instance setup.
Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps
Mature programming framework for agentic AI; choose it for fine-grained control with Python code.
A programming framework for agentic AI
Production-focused multi-agent harness; choose it for high-throughput deployments.
Multi-Agent Harness for Production AI
Rooms for people and agents; choose it for human-in-the-loop agent collaboration.
Rooms for people and agents.
Terminal-based multi-agent scaling system; choose it for headless batch orchestration.
🚀 MassGen is an open-source multi-agent scaling system that runs in your terminal, autonomously orchestrating frontier models and agents to collaborate, reason, and produce high-quality results. | Join us on Discord: discord.massgen.ai
Cloud-native runtime for agentic AI; select it for managed deployment and security controls.
The SmythOS Runtime Environment (SRE) is an open-source, cloud-native runtime for agentic AI. Secure, modular, and production-ready, it lets developers build, run, and manage intelligent agents across local, cloud, and edge environments.
Pipeline-based LLM orchestration with explicit retrieval control; choose it for production RAG workflows.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
Python framework to build autonomous agents; choose it for lightweight, scripted agent logic.
Build autonomous AI agents in Python.
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
Narrow executor-verifier orchestration for software changes; pick it when your workflow is code modifications.
Independent executor–verifier orchestration for software changes.
Does the same job, but ships as an app. Useful to a person, not swappable into a codebase.
GUI kanban for coding agents; pick it if you need a visual task board instead of an embeddable framework.
Get 10X more out of Claude Code, Codex or any coding agent
Desktop client to command an agent team; choose it for a conversational GUI, not code-level integration.
Open-source multi-agent AI desktop client — build and command your AI agent team through conversation. A commander LLM dispatches sub-agents in parallel or in series; agents self-evolve via reflection and skill crystallization. Local-first, BYO LLM keys (Claude · OpenAI · Gemini · DeepSeek · Kimi · GLM · Qwen). macOS / Windows / Linux.
These projects were analysed and named edict among their alternatives. The relationship is not symmetric — how edict rates them is a separate judgement, made when edict is analysed in its own right.
calls edict “Choose it when all your agents are OpenClaw and you want a specialized dashboard with audit trails.”
The open-source app everyone uses to manage agents at work
calls edict “Use it if you operate OpenClaw and want a real-time dashboard orchestration system with audit trails.”
Teams-first Multi-agent orchestration for Claude Code
calls edict “A pre-built OpenClaw multi-agent orchestration system with dashboard and audit trails.”
Build autonomous AI agents in Python.