MCP Servers · Memory
CheMiguel23/MemoryMesh
A knowledge graph server that uses the Model Context Protocol (MCP) to provide structured memory persistence for AI models.
Our verdict
We have not reviewed CheMiguel23/MemoryMesh yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About CheMiguel23/MemoryMesh
MemoryMesh is a knowledge graph server that stores structured memory for AI models using the Model Context Protocol (MCP). It allows agents to persist and retrieve relationships between entities, enabling long-term context across interactions.
Best for
Developers building AI agents or assistants that need persistent, structured memory using the Model Context Protocol
Use cases
- Provide persistent memory for AI assistants across multiple sessions
- Store structured relationships (e.g., user preferences, task dependencies) as a knowledge graph
- Integrate with MCP-compatible clients to give agents recall of past interactions
Notes
342 stars on GitHub. Last updated 2026-03-01. Licensed MIT.
Pros
- Uses the Model Context Protocol for a standardized memory interface
- Graph format captures rich, linked data beyond flat key-value stores
- Written in TypeScript, offering type-safe development and easy integration
Cons
- Requires a separate server process to run alongside your application
- Only works with clients that implement the MCP specification
- Relatively new project with a moderate community (342 stars) and limited production track record
Key facts
What we have checked
Not checked yet. Dated facts such as prices, releases and repository activity appear here once we have confirmed them from a source.
How to use
How to set it up
As the listing publishes it. We have not run this install.
Install
npm installTools exposed
SchemaManager
Clients the listing names (not checked here)
Claude Desktop, Cursor, VS Code, ChatGPT
Install
Add CheMiguel23/MemoryMesh to your client
No install recipe yet. We write one for Claude Code, Claude Desktop, Cursor, VS Code, Codex and ChatGPT when the server is in the official MCP registry with a package or remote address we can use.
Until then, follow the project's own README, or the setup the listing publishes under How to set it up.
Works with
What CheMiguel23/MemoryMesh connects to
No confirmed connections yet. A product appears here when the server's registry name, repo, homepage or name ties it to that product, and a client appears when we have an install recipe for it.
Alternatives
Alternatives to CheMiguel23/MemoryMesh
| Record | Type | How we know | Checked |
|---|---|---|---|
| topoteretes/cogneeThis is an alternative to it | MCP server | Named in the listing | Not dated |
| vectorize-io/hindsightThis is an alternative to it | MCP server | Named in the listing | Not dated |
Compare
Compare CheMiguel23/MemoryMesh side by side
Sources
Where this comes from
No sources recorded yet. Each source we check is listed here with the date we checked it.
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
Get the free Developer’s Field Guide
A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.
Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.