FRENES

Memory and knowledge · MCP server

Engram (tstockham96): MCP server, setup and security

Engram (tstockham96) is an open-source MCP server that lets an AI agent recall memories semantically and detect contradictions in stored knowledge. Its repository has 47 stars and its last commit is from October 16, 2026 and it is licensed under MIT.

Score
67/100
Adoption (stars) 17/40
Maintenance 30/30
Framework (licence, registry, official) 20/30
Actively maintainedNeeds secrets

What Engram (tstockham96) does

According to its repository: “Agent memory with semantic recall, automatic consolidation, contradiction detection and a bi-temporal knowledge graph.”

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. Engram (tstockham96) is listed under Memory and knowledge, a category of 250 servers in the directory, where it ranks #105 by stars.

Installing and connecting Engram (tstockham96)

Distribution modes declared in the official MCP registry:

  • npm package (Node.js, usually started with npx)

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: TypeScript. Listed systems: macOS, Windows, Linux.

The registry lists one secret variable to provide (API key, access token). Keep them in the client's environment variables, never in a shared file or a repository.

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.

Points found for Engram (tstockham96):

  • Secrets: the server acts with your credentials. Create a dedicated key with minimum rights and an expiry date.

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 February 16, 2026, the tstockham96/engram repository has 47 stars and 6 forks, with 1 open issues. It has more stars than 51% of the servers in the directory. It received changes this month. Version published in the registry: 0.5.1 (February 27, 2026).

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

Context7Context7 : 63.6K63.6KHindsightHindsight : 53.4K53.4KCogneeCognee : 32.7K32.7KSkill SeekersSkill Seekers : 15.2K15.2KHonchoHoncho : 7.8K7.8KBasic memoryBasic memory : 4.3K4.3KNoteDiscoveryNoteDiscovery : 2.8K2.8KMemantoMemanto : 2.3K2.3KEngram (tstockham96)Engram (tstockham96) : 4747
GitHub stars of the most followed servers in the category (log scale); Engram (tstockham96) in orange. Checked October 25, 2026.

Verdict

Engram (tstockham96) is a reasonable choice; check the points below before connecting it.

Strengths

  • Active project: recent commit
  • Listed in the official MCP registry
  • Permissive licence (MIT)

Limitations

  • Requires an API key or token

Avoid if…

  • You do not want to give credentials to an agent

Frequently asked questions

How do I install Engram (tstockham96)?

Engram (tstockham96) is distributed as npm package (Node.js, usually started with npx). Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of tstockham96/engram.

Is Engram (tstockham96) free?

The code is published under the MIT licence and can be used free of charge. It needs an API key: the service it connects to may be paid.

Is Engram (tstockham96) safe?

Points to watch: secrets. Give it minimum rights and approve sensitive actions.

Is it an official server?

Nothing says so: it is a project published by tstockham96 on GitHub. Check who maintains it before giving it access.

What are the alternatives to Engram (tstockham96)?

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