Papr-ai/memory-opensource
Predictive memory layer for AI agents. MongoDB + Qdrant + Neo4j with multi-tier caching, custom schema support & GraphQL. 91% Stanford STARK accuracy, <100ms on-device retrieval
This project provides a smart memory system for AI agents, allowing them to remember and use information more effectively. It helps AI agents store various data like text, documents, and even images, then find relevant information using natural language queries. The system automatically identifies and maps connections between different pieces of information, making AI agents more knowledgeable and context-aware. This is ideal for developers building intelligent assistants, enterprise AI solutions, or specialized agents in fields like finance, healthcare, or customer support.
Use this if you are a developer building AI agents and need a robust, scalable, and context-rich memory layer for them to store, retrieve, and understand information, especially across diverse data types.
Not ideal if you are an end-user looking for a pre-built AI application or a simple, no-code solution for data storage, as this project requires development expertise to implement and configure.
Stars
41
Forks
3
Language
Python
License
AGPL-3.0
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/Papr-ai/memory-opensource"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
topoteretes/cognee
Knowledge Engine for AI Agent Memory in 6 lines of code
CaviraOSS/OpenMemory
Local persistent memory store for LLM applications including claude desktop, github copilot,...
verygoodplugins/automem
AutoMem is a graph-vector memory service that gives AI assistants durable, relational memory:
CortexReach/memory-lancedb-pro
Enhanced LanceDB memory plugin for OpenClaw — Hybrid Retrieval (Vector + BM25), Cross-Encoder...
divagr18/memlayer
Plug-and-play memory for LLMs in 3 lines of code. Add persistent, intelligent, human-like memory...