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MCP servers and skills: search, filter by where they run, and compare.
MCP servers and skills: search, filter by where they run, and compare.
Skills and tooling for creating agent handoffs
SkillLink only★ 1Few stars
Local MCP server for shared memory and handoff between multiple agents.
Node.jsMIT★ 2Few starsNo key
Portable, verifiable, decision-aware context handoffs for AI agents.
PythonApache-2.0★ 1Few starsNo key
Desktop workspace for coordinating multiple Claude Code agents with typed handoffs (accept / decline / cancel / expire), durable SQLite ledger, and a human-in-the-loop UI.
SkillMIT★ 2Few starsNo key
File-based Sol-Grok handoff skill for persistent cross-conversation implementation and review workflows.
SkillMIT★ 5No key
IntaGrin is a declarative framework for building multi-agent LLM systems. Instead of wiring routing logic in Python (as you would with a hand-built graph), you describe agents, handoffs, tools, and gu
PythonApache-2.0★ 1Few starsNo key
Codex skill for writing agent handoffs with calibrated freedom, decision state, and evidence gates
SkillMIT★ 3Few starsNo key
Maz Works Knowledge Vault — shared project memory, research, skills, and operating context for Manazir Hussain's work.
SkillMITFew starsNo key
A live Kanban for AI coding agents: real progress updates, task evidence, and cross-agent handoffs. Portable skill with a dependency-free local viewer.
SkillMIT★ 4Few starsNo key
A GitHub-based mailbox for AI agents: verified handoffs, read-back after every write, receipts against duplicate work, no self-review — with the final decision always left to a human.
Node.jsApache-2.0Few starsNeeds a key
Open-source context engineering protocol for AI agents: governed retrieval, bounded multi-agent handoffs, MCP, provenance, recoverable effects, and replay.
SkillApache-2.0★ 8No key
An MCP server for orchestrating multi-agent workflows inside herdr, enabling real-time communication, pane management, and contextual handoffs.
Node.jsMIT★ 10No key
Experimental capacity-aware cognitive compression for AI agents — compile large context, evidence, constraints, and procedures into small-model-ready packages with provenance and fidelity checks.
SkillApache-2.0Few starsNo key
🤖 Agentic AI Platform with InterSystems IRIS | 🔀 Multi-agent workflows with OpenAI Agents SDK & agent handoffs | 🧠 IRIS Vector Search & RAG | 🌐 MCP Server integration | 🔍 Agent tracing | 🛠️ AI a
SkillMIT★ 2Few starsNo key
Open-source security testing for A2A → MCP agent handoffs and cross-protocol AI agent systems.
Node.jsApache-2.0★ 1Few starsNo key
A Rust framework for building LLM applications with support for 8+ LLM providers, agents, RAG, BM25/hybrid search, LangGraph workflows, and multiple vector/document storage backends.
SkillApache-2.0★ 18No key
Local multi-agent workspace with Hermes orchestration, role-based AI agents, memory, scheduling, Skills, MCP, terminal, files, and HTML preview.
PythonMIT★ 5No key
SkillMIT★ 2Few starsNo key
Agentic_System is a collection of ready-to-use agent skills (small tools) that help automate, manage, and simplify tasks. You can quickly add these skills to your workflows or projects—perfect for beg
SkillMIT★ 3Few starsNo key
Persistent memory graph for AI coding agents — semantic search, knowledge graph, and time-based decay over MCP
PythonMIT★ 5No key
Turn before/after time-series questions into counterfactual charts, reproducible reports, share packages, and AI-agent-ready handoffs.
PythonMIT★ 3Few starsNo key
Local-first shared context and memory layer for AI coding agents
Node.jsMIT★ 3Few starsNo key
Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs.
GoMIT★ 5No key
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