hardy canyon
Built Remembra to solve the LLM memory problem — agents and chatbots forget everything between sessions.
What it does:
• Stores and retrieves memories semantically (vector search)
• Builds entity graphs (knows who's who, relationships)
• Self-hosts with one Docker command
• MIT licensed, no vendor lock-in
Quick start:
docker run -d -p 8787:8787 remembraai/remembra
Code example:
from remembra import Remembra
mem = Remembra()
mem.store("User prefers TypeScript and VSCode")
results = mem.recall("coding preferences")
Why Remembra vs alternatives:
• Entity graphs: FREE (Mem0 = $249/mo)
• Self-hosted: Yes (Mem0 = Enterprise only)
• Open source: MIT license
🔗 GitHub: https://github.com/remembra-ai/remembra
📚 Docs: https://docs.remembra.dev
🎮 Dashboard: https://app.remembra.dev
Would love feedback from this community!
