selfmemory 0.4.1.post3

Enhanced Memory Management for AI Agents with zero-setup simplicity

SelfMemory

Long-term memory for AI Agents with zero-setup simplicity

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

• Documentation: docs.selfmemory.com
• GitHub: github.com/selfmemory/selfmemory
• Discord: discord.com/invite/YypBvdUpcc
• Brand Assets (Logos, Slides, etc.): Google Drive