
In Memoria
io.github.pi22by7Published by GitHub account pi22by7v0.5.7Updated Oct 24, 2026
Persistent codebase intelligence that gives AI assistants memory across sessions
Overview
In Memoria is a local MCP server that gives AI assistants persistent memory of a codebase across sessions.
- What you can do
- Provides persistent codebase intelligence so an assistant can recall project context between sessions.
- Stores and reuses knowledge about the codebase rather than re-reading it each time.
- Can use OpenAI embeddings when a key is supplied, otherwise falls back to local transformers.js embeddings.
- Runs as a local stdio process on the user's machine; no tool list is published.
- When to use it
- Worth adding when you work on the same codebase over many sessions and want the assistant to keep context instead of starting from scratch each time.
- Requirements
- Runs as a local process via the npm package in-memoria over stdio, so Node.js is needed. Optionally set the OPENAI_API_KEY environment variable for OpenAI embeddings; without it, local transformers.js embeddings are used. Desktop client only.
Installation
In SourceWeft
- Open In Memoria 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.
Tools
0Version history
1- v0.5.7LatestSep 16, 2026
Score
25% of the applicable checks met
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- Reached in the last 30 days25 pts
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- Auth declared10 pts
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- 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
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- License10 pts
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