Odrin/rhizome-mcp
by Various
Crash-safe task tracking for AI coding agents over MCP: expiring leases, resumable attempts, version-pinned reviews. One Go binary, one SQLite file per project.
MCP
Odrin/rhizome-mcp
Added 8 Sept 2026
Overview
Crash-safe task tracking for AI coding agents over the Model Context Protocol. Uses expiring leases, resumable attempts, and version-pinned reviews. Ships as one Go binary with one SQLite file per project.
Best for
Best for
Developers building MCP-connected AI coding agents that need durable task state across crashes
Use cases
- Track tasks for AI coding agents
- Recover from agent crashes with resumable attempts
- Pin reviews to specific code versions
Notes
Crash-safe task tracking for AI coding agents over the Model Context Protocol. Uses expiring leases, resumable attempts, and version-pinned reviews. Ships as one Go binary with one SQLite file per project.
1 stars on GitHub. Last updated 2026-09-08. Licensed Apache-2.0.
Use cases
- Track tasks for AI coding agents
- Recover from agent crashes with resumable attempts
- Pin reviews to specific code versions
Pros
- Crash-safe design with expiring leases
- Simple deployment: one binary, one SQLite file
- Integrates with MCP-based agent workflows
Cons
- Very early stage with minimal adoption (1 star)
- Single SQLite file per project may limit concurrent multi-agent use
- Small user base suggests limited real-world testing
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Crash-safe design with expiring leases
- Simple deployment: one binary, one SQLite file
- Integrates with MCP-based agent workflows
Cons
- Very early stage with minimal adoption (1 star)
- Single SQLite file per project may limit concurrent multi-agent use
- Small user base suggests limited real-world testing
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
Pairs with
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