Add Compartment MCP server to knowledge-memory - #418
Merged
Merged
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Adds Compartment to the knowledge-memory category.
Compartment is a fully offline, encrypted-at-rest vector memory server for AI agents (MCP + CLI): RAM-resident exact vector search, per-record crypto-shred deletion, a hash-chained audit log, and optional keyfile two-factor unlock. No API key, no cloud.
Repo: https://github.com/MaxFreedomPollard/Compartment (MIT, Python). PyPI:
compartment. Added as a single JSON file per CONTRIBUTING; the generated README is left untouched.Note: the project was renamed from engRAM to Compartment while this PR was open. The entry file is now
packages/knowledge-memory/compartment.jsonand the name, packageName, and repo URL have been updated to match. No other changes.