aiming-lab / SimpleMem
[ICML'26] SimpleMem: Efficient Lifelong Memory for LLM Agents — Text & Multimodal
Why this job: topics: rag, semantic-search, knowledge-graph
What it does
Atlas Cloud is a full-modal, OpenAI-compatible AI inference platform — point SimpleMem's OPENAI_BASE_URL at it to power memory construction, retrieval, and judging with DeepSeek, Qwen, GLM, Kimi, MiniMax and more through a single API, no multi-vendor setup needed. Budget-friendly coding plan available.
Get started
# From the repository root
docker compose up -dYou need: Python 3.10+; OpenAI-compatible API (OpenAI, Qwen, Azure OpenAI, etc.)
- Maintenance
- Active
- Last commit 3 months ago
- Stars
- 3,872
- +9 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.3.0
- Released 5 months ago
- Built with
- Python
- 99% of the code
Is it looked after?
- Contributors
- 0
- Last 90 days
- Issues
- 92% closed
- 4 still open
- Pull requests
- 17 merged
- 9 waiting
- Releases
- 3
- 3 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 99%
- CSS <1%
- JavaScript <1%
- HTML <1%
Topics
- agent
- audio
- compression
- knowledge-graph
- lifelong-memory
- llm
- mcp
- memory
- multimodal
- python
- rag
- retrieval
Project record
- JobRAG and search
- StatusListed
- Commits115
- Forks414
- Watching41
- Stars in 28 days+50
- CreatedJan 1, 2026
- First seen by usNov 7, 2026
- CheckedNov 7, 2026