geondongkim/geond-agent-protocol
by Various
Local-first MCP server for shared memory, reservations, handoffs, and review evidence across AI coding agents.
MCP
geondongkim/geond-agent-protocol
Added 7 June 2026
Overview
A local-first MCP server that provides shared memory, reservations, handoffs, and review evidence for AI coding agents. It enables multiple agents to coordinate and persist context without relying on external services.
Best for
Best for
Developers experimenting with multi-agent coding systems who want a lightweight, local coordination layer.
Use cases
- Orchestrating multi-agent coding workflows with shared state
- Handing off tasks between agents with reservation and review tracking
- Persisting agent context and evidence for later inspection
Notes
A local-first MCP server that provides shared memory, reservations, handoffs, and review evidence for AI coding agents. It enables multiple agents to coordinate and persist context without relying on external services.
1 stars on GitHub. Last updated 2026-06-07. Licensed Apache-2.0.
Use cases
- Orchestrating multi-agent coding workflows with shared state
- Handing off tasks between agents with reservation and review tracking
- Persisting agent context and evidence for later inspection
Pros
- Local-first design avoids external dependencies for coordination
- Provides structured mechanisms for agent handoffs and reviews
- Written in Python, easy to integrate into existing MCP toolchains
Cons
- Very early stage with only 1 star and limited community adoption
- Potential scalability or reliability issues due to a single maintainer
- Requires agents to implement MCP client support to use
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Local-first design avoids external dependencies for coordination
- Provides structured mechanisms for agent handoffs and reviews
- Written in Python, easy to integrate into existing MCP toolchains
Cons
- Very early stage with only 1 star and limited community adoption
- Potential scalability or reliability issues due to a single maintainer
- Requires agents to implement MCP client support to use
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