automem

Long-term memory for AI assistants. Graph + vector store that recalls decisions, relationships, and context across sessions.

Not yet testedsource: GitHubhomepagePythonMITcommit 0e8c4174b799

Python, MIT licensed. The project labels itself: ai, ai memory, anthropic, automem, falkordb, graph database, llm and memory.

automem has not been verified yet.

Measured by Argusic on a fresh machine every time. Every number links to its evidence.

At a glance

verdict
Not yet tested
Argusic Score
not scored yet
recorded runs
0
last tested
-
stars
821
forks
108
open issues
17
watchers
10
size
3 MB
created
last push

Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.

Also tested, in the same area

Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.

Run history

No recorded runs.

Topics (from GitHub)

aiai-memoryanthropicautomemfalkordbgraph-databasellmmemoryqdrantragvector-database

Embed the badge

Markdown for the project README. It links back here; terms on the terms page.

[![Tested by Argusic](https://argusic.com/badge/automem.svg)](https://argusic.com/subject/automem)

Questions

Does automem run?
automem has not been fully verified yet. No recorded run has produced a verdict yet.
How did Argusic test automem?
On a fresh, disposable machine, with every command recorded. 0 attempts are recorded, and the full method is on the methodology page.
Where is the evidence for automem?
All 0 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.

Discussion