Search results for "coordination"
Toolbox for imbalanced dataset in machine learning
89 skills and 38 specialized agents that enforce proven engineering practices for AI-assisted development. TDD, systematic debugging, parallel code review, and 10-gate development cycles β as a Claude
Autonomous AI agent with persistent memory, self-learning, and earned autonomy. Cognitive partner that remembers, learns, and evolves.
Build autonomous AI agents in Python.
423 plugins, 2,849 skills, 177 agents for Claude Code. Open-source marketplace at tonsofskills.com with the ccpi CLI package manager.
Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.
Your agent in your terminal, equipped with local tools: writes code, uses the terminal, browses the web. Make your own persistent autonomous agent on top!
ARIS βοΈ (Auto-Research-In-Sleep) β Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in β works wi
Declarative Agent Orchestration. Ship while you sleep.
Vibe-Skills is an all-in-one AI skills package. It seamlessly integrates expert-level capabilities and context management into a general-purpose skills packageοΌ enabling any AI agent to instantly upgr
Curated directory of terminal-native AI coding agents and the harnesses that orchestrate them. Covers open-source tools (Pi, OpenCode, Aider, Goose), platform agents (Claude Code, Codex, Gemini CLI),
Python Deep Agent framework built on top of Pydantic-AI, designed to help you quickly build production-grade autonomous AI agents with planning, filesystem operations, subagent delegation, skills, and
44 plug-and-play skills for OpenClaw β self-modifying AI agent with cron scheduling, security guardrails, persistent memory, knowledge graphs, and MCP health monitoring. Your agent teaches itself new
π« CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
The Multi-Agent Custom Automation Engine Solution Accelerator is an AI-driven system that manages a group of AI agents to accomplish tasks based on user input. Powered by Microsoft Agent Framework, Az
Cyber Pilot is a traceable delivery system for requirements, design, plans, and code.
An open-source AI assistant framework with skills and agent architecture
Secure AI conversations with documents, video, audio, and more. Personal workspaces for focused context, group spaces for shared insight. Classify docs, reuse prompts, and extend with modular features
AINL helps turn AI from "a smart conversation" into "a structured worker." It is designed for teams building AI workflows that need multiple steps, state and memory, tool use, repeatable execution, v
AI-powered development framework with task management, 41 agents, 83 skills, and MCP tools for Cursor, Claude Code, Gemini, Codex & OpenCode. File-based memory that survives across sessions.
A unified agent orchestration hub that lets you configure and manage multiple AI agents (native, ACP, AGUI, Claude Code) via YAML, and exposes them through standardized protocols (ACP/OpenCode Server)
Organization-as-Code for autonomous AI agents. Brain-inspired memory that grows, consolidates, and forgets. Multi-model (Claude/Codex/Gemini/Cursor/Ollama).
[GenAI Application Development Framework] π Build GenAI application quick and easy π¬ Easy to interact with GenAI agent in code using structure data and chained-calls syntax 𧩠Use Event-Driven Flow
Benchmarking the gap between AI agent hype and architecture. Three agent archetypes, 73-point performance spread, stress testing, network resilience, and ensemble coordination analysis with statistica
AgenticX is a unified, production-ready multi-agent platform β Python SDK + CLI (agx) + Studio server + Machi desktop app. Features Meta-Agent orchestration, 15+ LLM providers, MCP Hub, hierarchical m
"DeepCode: Open Agentic Coding (Paper2Code & Text2Web & Text2Backend)"
RAPTOR (Robust AI-Powered Toolkit for Operational Robots) is an AI-native Content Insight Engine that transforms passive media storage into an intelligent knowledge platform through automated analysis
The highest-scoring AI memory system ever benchmarked that isn't reliant on LLM reranking. And it's free & burns less tokens.
MaverickMCP - Personal Stock Analysis MCP Server
π PageIndex: Document Index for Vectorless, Reasoning-based RAG
Claude Code skills, architectural principles, and alternative approaches for AI-assisted development
π€ The most comprehensive directory of AI agent frameworks, platforms, tools, and resources - hundreds of curated entries covering open-source, no-code, enterprise, and autonomous solutions. NEW Boil
A comprehensive MCP-based todo management system, that serves as a central nervous system for Madness Interactive, a multi-project task coordination workshop.
The production runtime for AI agents. Schema in, API out. Built on PydanticAI + FastAPI.
Claude Code plugin for Ruby, Rails, Grape, PostgreSQL, Redis, and Sidekiq development
A comprehensive suite of protocols, meta-prompts, and orchestration tools designed to streamline software development workflows, project management, and team collaboration. Includes the VibeCode Proto
A structured multi-agent framework for coordinated AI collaboration
Autonomous overnight codebase improvement agent for Claude Code. Run it before bed, wake up to production-ready fixes.
Automatically Update LLM-Agent Papers Daily using Github Actions (Update Every 12th hours)
Turn AI into a persistent, memory-powered collaborator. Universal MCP Server (supports HTTP, STDIO, and WebSocket) enabling cross-platform AI memory, multi-agent coordination, and context sharing. Bui
Lightweight coordination server for autonomous AI coding agents β task claiming, file locks, message passing, and health monitoring over REST
Autonomous multi-agent system that turns tasks into code, PRs, and self-healing workflows
Enable peer-to-peer collaboration between AI agents with human supervision for complex task coordination and decision-making.
π€ Define and execute multi-agent AI workflows declaratively using YAML, simplifying orchestration and enhancing collaboration through automatic context handling.
Modular multi-agent orchestration framework powered by LangGraph and FastAPI.
A structured reasoning and decision architecture for stable, interpretable, and hallucinationβresistant AI systems. An open standard for humanβAI collaboration and autonomous systems.
Intelligent Model Context Protocol (MCP) server for AI-assisted API development. Generate mock servers from OpenAPI specs with advanced logging, performance analytics, and server discovery. Optimized