Add mnemo — self-correcting agent memory with a LangGraph BaseStore adapter#88
Open
DanceNitra wants to merge 1 commit into
Open
Add mnemo — self-correcting agent memory with a LangGraph BaseStore adapter#88DanceNitra wants to merge 1 commit into
DanceNitra wants to merge 1 commit into
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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 mnemo to the Developer Tools table, next to the other memory tooling.
mnemo is a zero-dependency, MIT-licensed memory layer for AI agents whose focus is correction integrity: when a fact is corrected, the new value supersedes the old one on a bitemporal ledger, a later restatement of the retired value cannot resurrect it, and the full value history stays queryable. It ships a LangGraph
BaseStoreadapter (mnemo.integrations.langgraph.MnemoStore) with identical put/get/search/delete semantics toInMemoryStore, plushistory(namespace, key)for the values the built-in store overwrites and loses. Runnable example: examples/07_langgraph_memory.py. On PyPI asagora-mnemo(~5k downloads/week); the correction behaviour is measured in the open (benchmark harness in the repo), not assumed.One row added, matching the table's existing format and badges. Thanks for maintaining the list!