montycat-mcp
Active·★ 28·MIT·Updated 2026-10-04
Montycat MCP is a self-hosted server that provides AI agents with persistent, searchable memory, enabling them to retain context and decisions across sessions. It supports various Model Context Protocol clients, allowing multiple agents to read from and write to a single shared memory store with hybrid search capabilities.
#AI Agents#Shared Memory#Persistent Memory#Vector Search#Semantic Search#Self-hosted#Memory Management#LLM Tools
01
Features
01Persistent memory across chat sessions
02Single shared memory for multiple AI agents
03Hybrid search (vector, keyword, BM25) for recall
04Self-hosted server, engine, and embeddings
02
Compatibility
Python
Runtime
Verified via docs
MCP Clients
Integration
Verified via docs
Docker
Deployment
Verified via docs
03
Quick start
1
$ pip install montycat-mcp
04
Use cases
↳Storing and recalling team decisions and preferences
↳Maintaining project context and progress across AI agent interactions
↳Facilitating collaboration among multiple AI agents through shared scopes
↳Providing persistent knowledge base for AI assistants
05
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