Skip to main content

Enhanced Memory Management for AI Agents with zero-setup simplicity

Project description

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("I have a BMW bike.", user_id="demo")

# Search memories
results = memory.search("bike", user_id="demo")
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.

🔗 Links

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

selfmemory-0.5.0.tar.gz (602.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

selfmemory-0.5.0-py3-none-any.whl (283.8 kB view details)

Uploaded Python 3

File details

Details for the file selfmemory-0.5.0.tar.gz.

File metadata

  • Download URL: selfmemory-0.5.0.tar.gz
  • Upload date:
  • Size: 602.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for selfmemory-0.5.0.tar.gz
Algorithm Hash digest
SHA256 6611a770f63132339d45c1a07a1ae25c1e9a787ce54ac952e5a049f8145ef9a1
MD5 c128e470cb445b99fbcb1a6746ed2051
BLAKE2b-256 539882225502aa555d4db17f8569f008cfbb26731528d5d2dcb4acbb166eb575

See more details on using hashes here.

Provenance

The following attestation bundles were made for selfmemory-0.5.0.tar.gz:

Publisher: release.yml on SelfMemory/SelfMemory

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file selfmemory-0.5.0-py3-none-any.whl.

File metadata

  • Download URL: selfmemory-0.5.0-py3-none-any.whl
  • Upload date:
  • Size: 283.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for selfmemory-0.5.0-py3-none-any.whl
Algorithm Hash digest
SHA256 4a63d3303b74205ccba145769437b95bcb3accad0d2c524486f0f55735ffcd2e
MD5 41ece6febe6ed6c29b900989c69b398a
BLAKE2b-256 a9b4be058c5102547f62a8e8a5267a7b2325a596a1e2817fcae6c2499e0ab279

See more details on using hashes here.

Provenance

The following attestation bundles were made for selfmemory-0.5.0-py3-none-any.whl:

Publisher: release.yml on SelfMemory/SelfMemory

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page