SelfMemory
Store AI memories for you and your agents
It is a open-source universal memory engine where users can store and retrieve their AI conversations and context across different models. Users can add memories through MCP, SDK, or a website selfmemory.com Over time, this will evolve into a one-stop memory hub with note-taking and chatbot features. For B2B, it becomes a knowledge backbone, storing project context, organizational knowledge, documents, and data sources to power company-wide AI systems.
🚀 Quick Start
pip install selfmemory
from selfmemory import SelfMemory
memory = SelfMemory()
# Add memories
memory.add("Can you find the nearest BMW car showroom for me.", user_id="user")
# Search memories
results = memory.search("Can you find a car washing service near me?", user_id="user")
print(results)
📚 Full Documentation
Visit docs.selfmemory.com for complete documentation, guides, and examples.
Changelog: See CHANGELOG.md for a detailed list of changes and updates.
🤝 Contributing
We welcome contributions! CONTRIBUTING.md.
🔗 Links
- Discord: discord.com/invite/selfmemory
- Brand Assets (Logos, Slides, etc.): Storage Link
1 maintainer
Metadata
1 maintainer
Release files for selfmemory 0.9.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| selfmemory-0.9.6.tar.gz | 185.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| selfmemory-0.9.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 440.3 kB
Release files / selfmemory-0.9.6.tar.gz
| Download URL | selfmemory-0.9.6.tar.gz |
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| Size | 185.9 kB |
| Tags | Source |
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| Download URL | selfmemory-0.9.6-py3-none-any.whl |
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| Size | 254.4 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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