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MCP server · AI

RCLL

by · github.com/Holetron-lab/fleet-memory

Self-hosted shared memory for a team of AI agents. Rooms, L0-L3 depth, no LLM on the read path.

Unclaimed ai
InstallView source
37Low

Scored a month ago · breakdown

About RCLL

RCLL is an MCP server published by Holetron-lab in the AI category: self-hosted shared memory for a team of AI agents. Rooms, L0-L3 depth, no LLM on the read path.

Recent commit activity is the strongest signal that reported issues will get attention.

Install

Claude Code
claude mcp add rcll -- npx -y fleet-memory-mcp
npx
npx -y fleet-memory-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (5)

memory_bridgeCross-bank tunnels between related memories

Parameters not published.

memory_compressCreate closet summaries from accumulated facts

Parameters not published.

memory_recallScoped semantic search with room/hall/layer filters

Parameters not published.

memory_reflectDeep reasoning — synthesize facts, find patterns, answer with citations

Parameters not published.

memory_retainSave a memory with automatic room/hall classification

Parameters not published.

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Questions

About RCLL

How do I install RCLL?

Run claude mcp add rcll -- npx -y fleet-memory-mcp, then add the server to your MCP client's configuration.

Is RCLL safe to use with an AI agent?

Its trust score is 37 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is RCLL still maintained?

Yes — the last commit was a month ago. The repository has 0 stars and 0 forks.