A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎，预测万物
🌊 The leading agent meta-harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
Learn it. Build it. Ship it for others.
Offline multi-agent simulation & prediction engine. English fork of MiroFish with Neo4j + Ollama local stack.
Fractal Graph-of-Thought. Rhizomatic Mind-Mapping for Ai-Agents, Web-Links, Notes, and Code.
ClawTeam fork fully adapted for OpenClaw — multi-agent swarm coordination with OpenClaw as the default agent
Simulate anything, for $1 & less than 10 min - Universal Swarm Intelligence Engine
A research toolkit for particle swarm optimization in Python
A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
🐝 The First Self-Improving agents with RL / Prompting Optimization
Easily switch between alternative low-cost AI models in Claude Code/Agent SDK. For those comfortable using Claude agents and commands, it lets you take what you've created and deploy fully hosted agents for real business purposes. Use Claude Code to get the agent working, then deploy it in your favorite cloud.
OpenHuFu is an open-sourced data federation system to support collaborative queries over multi databases with security guarantee.
EvoloPy toolbox provides classical and recent nature-inspired metaheuristic for the global optimization.
Protein-protein, protein-peptide and protein-DNA docking framework based on the GSO algorithm
Neural Architecture Search Powered by Swarm Intelligence 🐜
📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. Python stdlib only. | https://misakanet.org
Python microframework for building nature-inspired algorithms. Official docs: https://niapy.org
Advanced Agentic Development Environment for DevPods, GitHub Codespaces, Rackspace Spot & more. Ruflo orchestration, 215+ MCP tools, 60+ AI agents, SPARC methodology & automatic context loading. Deploy multi-agent swarms, coordinate autonomous workflows.
Q-Learning Swarm Foraging 2026: Multi-Agent RL in Dynamic Grid Environments
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