divagr18 / memlayer
Plug-and-play memory for LLMs in 3 lines of code. Add persistent, intelligent, human-like memory and recall to any model in minutes.
Why this job: topics: rag, retrieval-augmented-generation, vector-database, semantic-search, knowledge-graph
What it does
- Universal LLM Support. Works with OpenAI, Claude, Gemini, Ollama models
- Plug-and-play. Install with pip install memlayer and get started in minutes — minimal setup required.
- Intelligent Memory Filtering. Three operation modes (LOCAL/ONLINE/LIGHTWEIGHT) automatically filter important information
- Hybrid Search. Combines vector similarity + knowledge graph traversal for accurate retrieval
- Three Search Tiers. Fast (<100ms), Balanced (<500ms), Deep (<2s) optimized for different use cases
Get started
pip install memlayer- Maintenance
- Inactive
- Last commit 9 months ago
- Stars
- 308
- +1 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.1.8
- Released 11 months ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 0 merged
- 1 waiting
- Releases
- 4
- 4 in the last year
- No contributing guide
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| memvid / memvid | 17,394 | 4 months ago | Apache-2.0 | No downloads |
| VectifyAI / PageIndex | 40,377 | 7 days ago | MIT | No downloads |
| alibaba / zvec | 16,227 | yesterday | Apache-2.0 | Mac, Windows, Linux |
More: languages, topics and project record
Languages
- Python 100%
Topics
- agent
- ai
- ai-infrastructure
- context-management
- developer-tools
- embedded
- graph-database
- knowledge-graph
- llm
- llm-memory
- memory
- openai
Project record
- JobRAG and search
- StatusListed
- Commits41
- Forks35
- Watching5
- Stars in 28 days+6
- CreatedNov 16, 2025
- First seen by usNov 7, 2026
- CheckedNov 8, 2026