Memory and knowledge · MCP server
Kremis: MCP server, setup and security
Kremis is an open-source MCP server published on GitHub that lets an AI agent maintain a deterministic local knowledge graph with canonical audit exports. Its repository has 15 stars and its last commit is from October 21, 2026 and it is licensed under Apache-2.0.
| Adoption (stars) | 12/40 | |
|---|---|---|
| Maintenance | 30/30 | |
| Framework (licence, registry, official) | 15/30 |
What Kremis does
According to its repository: “Local deterministic knowledge graph on redb with no LLM or embedding calls, BLAKE3 state hashing and canonical export for byte-identical audits.”
The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. Kremis is listed under Memory and knowledge, a category of 250 servers in the directory, where it ranks #173 by stars.
Topics declared by the repository: deterministic, rust, embedded-database, explainable-ai, graph-database, graph-engine.
Installing and connecting Kremis
No package or remote server is declared in the official MCP registry: you install it from source, following the repository README.
It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: Rust. Listed systems: macOS, Windows, Linux.
Security: what to check
Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.
None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Kremis. 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 January 31, 2026, the TyKolt/kremis repository has 15 stars and 4 forks, with 0 open issues. It has more stars than 33% 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
Kremis is a reasonable choice; check the points below before connecting it.
Strengths
- Active project: recent commit
- Permissive licence (Apache-2.0)
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 Kremis?
No package is declared in the MCP registry: clone the TyKolt/kremis repository, follow its README, then declare the start command in your client's MCP configuration.
Is Kremis free?
The code is published under the Apache-2.0 licence and can be used free of charge.
Is Kremis 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 TyKolt on GitHub. Check who maintains it before giving it access.
What are the alternatives to Kremis?
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