agentic-box/memora
Give your AI agents persistent memory — MCP server for semantic storage, knowledge graphs, and cross-session context
This project helps AI agents remember information across different tasks and conversations, acting like a persistent brain. It takes in structured notes, conversations, and observations, then organizes them into a searchable memory and a visual knowledge graph. AI developers or researchers building sophisticated agents that need long-term context and recall would use this.
322 stars.
Use this if you are building AI agents that need to recall past interactions, understand complex relationships between pieces of information, and maintain context over extended periods or across multiple sessions.
Not ideal if you only need a simple, short-term memory for single-turn AI agent interactions or if you're not working with AI agents at all.
Stars
322
Forks
34
Language
Python
License
MIT
Category
Last pushed
Mar 18, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/mcp/agentic-box/memora"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Related servers
doobidoo/mcp-memory-service
Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude....
Dataojitori/nocturne_memory
A lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to...
spences10/mcp-memory-libsql
🧠 High-performance persistent memory system for Model Context Protocol (MCP) powered by libSQL....
gannonh/memento-mcp
Memento MCP: A Knowledge Graph Memory System for LLMs
mkreyman/mcp-memory-keeper
MCP server for persistent context management in AI coding assistants