gh9ko8y / graphmemory
Bitemporal AI memory system: six-variable decay, time-graded recall, TTL expiry, dedupe, competitive retrieval (Neo4j + PostgreSQL + Redis)
Why this job: says: memory system; topics: agent-memory, memory
What it does
A bitemporal memory service for AI agents: facts with two time axes, a six-variable importance/decay model, time-graded recall, TTL-based expiry, deduplication, and a competitive retrieval layer on top of Graphiti (temporal knowledge graph) + PostgreSQL/pgvector + Redis.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 10 days ago
- Stars
- 201
- +48 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 90% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- None
- No issues filed
- Pull requests
- 0 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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| clawdbrunner / openclaw-graphiti-memory | 102 | 3 months ago | MIT | No downloads |
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More: languages, topics and project record
Languages
- Python 90%
- JavaScript 6%
- CSS 2%
- HTML 2%
Topics
- agent-memory
- ai
- bitemporal
- graphiti
- knowledge-graph
- llm
- memory
- neo4j
- postgresql
- python
Project record
- JobAgent memory
- StatusNew to our list
- Commits5
- Forks5
- Watching0
- CreatedOct 30, 2026
- First seen by usNov 7, 2026
- CheckedNov 8, 2026