Memory and knowledge · MCP server
Rms memory MCP: MCP server, setup and security
Rms memory MCP is an open-source MCP server that lets an AI agent recall project context through local memory with confidence-aware hybrid search. Its repository has 40 stars and its last commit is from October 15, 2026 and it is licensed under MIT.
What Rms memory MCP does
According to its repository: “Local-first memory for coding agents: hybrid LanceDB/Tantivy search, Markdown and code indexes, per-project vaults and recall that abstains on low confidence.”
An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. Rms memory MCP is listed under Memory and knowledge, a category of 250 servers in the directory, where it ranks #114 by stars.
Topics declared by the repository: mcp-tools, rust, memory, ai-tools, context-management, context-management-system.
Installing and connecting Rms memory MCP
No package or remote server is declared in the official MCP registry: you install it from source, following the repository README.
Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: Rust. Listed systems: macOS, Windows, Linux.
Security: what to check
An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.
None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Rms memory MCP. That does not replace reading the code.
Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.
Project activity and maintenance
Created on July 5, 2026, the max-ramas/rms-memory-mcp repository has 40 stars and 3 forks, with 0 open issues. It has more stars than 49% of the servers in the directory. It received changes this month.
Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.
Verdict
Rms memory MCP is a reasonable choice; check the points below before connecting it.
Strengths
- Active project: recent commit
- Permissive licence (MIT)
Limitations
- Install from source
Alternatives
- Context763.6K ★
- Basic memory4.3K ★
- Hindsight53.4K ★
- Cognee32.7K ★
- Skill Seekers15.2K ★
- Honcho7.8K ★
Learn more
Frequently asked questions
How do I install Rms memory MCP?
No package is declared in the MCP registry: clone the max-ramas/rms-memory-mcp repository, follow its README, then declare the start command in your client's MCP configuration.
Is Rms memory MCP free?
The code is published under the MIT licence and can be used free of charge.
Is Rms memory MCP safe?
No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.
Is it an official server?
Nothing says so: it is a project published by max-ramas on GitHub. Check who maintains it before giving it access.
What are the alternatives to Rms memory MCP?
In the same category: Context7, Basic memory, Hindsight, and Cognee. Context7 and Basic memory score higher on our grid.
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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score