Banyan Memory
io.github.labacaciaPublished by GitHub account labacaciav1.5.1Updated Oct 24, 2026
Persistent, governed local memory for MCP-compatible AI clients.
The publisher's own server: Memory.fit
Overview
Banyan Memory is a local MCP server that gives MCP-compatible AI clients persistent, governed memory stored on the user's own machine.
- What you can do
- Provides persistent memory that AI clients can keep across sessions, rather than losing context when a conversation ends. The memory is described as governed, implying rules or controls over what is stored and used. It runs locally as a desktop-only process, so memory data stays on the user's machine. No individual tools are listed, so specific operations are not documented here.
- When to use it
- Worth considering when you want an AI client to remember information between sessions and you prefer that memory to live locally on your own desktop rather than in a hosted service.
- Requirements
- Runs as a local process on the user's machine, installed from a NuGet package or a Windows x64 MCP bundle. Desktop only; no web execution. No authentication, environment variables or headers are declared.
Installation
In SourceWeft
- Open Banyan Memory in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
This repository has no README.
Tools
0Version history
1- v1.5.1LatestSep 16, 2026
Score
25% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.
- License10 pts
Declare a license in the repository or the registry entry.
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