AgentIndex icon
AgentIndex
engram-memory logo
engram-memory
★ 38
vs
montycat-mcp logo
montycat-mcp
★ 28

engram-memory vs montycat-mcp

engram-memory: Engram Memory provides AI agents with persistent, self-hosted memory, eliminating session-end forgetfulness and API costs. It features a three-tiered recall engine for efficient storage, search, and retrieval of semantic embeddings on your own hardware.; montycat-mcp: 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.

01

TL;DR

engram-memory logo
engram-memoryMemory & Context · ★ 38

Providing long-term memory for AI agents (e.g., Claude Code, Cursor) to remember codebase details, user preferences, and architectural decisions across sessions.

Read engram-memory full review →
montycat-mcp logo
montycat-mcpMemory & Context · ★ 28

Storing and recalling team decisions and preferences

Read montycat-mcp full review →
02

Side-by-Side Comparison

Field
engram-memory logoengram-memory
montycat-mcp logomontycat-mcp
Category
Memory & Context
Memory & Context
Stars
★ 38
★ 28
License
NOASSERTION
MIT
Install Command
docker run -d --name engram-memory --restart unless-stopped -p 6333:6333 -p 11435:11435 -p 8585:8585 -v engram_data:/data engrammemory/engram-memory:latest
pip install montycat-mcp
Updated
4mo ago
2w ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agent Memory, Self-hosted, Vector Database
AI Agents, Shared Memory, Persistent Memory
03

Features

engram-memory logoengram-memory
01Three-tiered recall engine (Hot-Tier Cache, Multi-Head Hash Index, Hybrid Vector Search) for fast and efficient memory retrieval.
02Persistent memory management with semantic embedding (store, search, recall, forget, consolidate) for AI agents.
03Local-first operation with self-hosted components (Qdrant, FastEmbed, MCP server) for data privacy and zero API costs.
04Kuzu-backed entity graph for tracking entities, co-retrieval patterns, and spreading activation.
05Advanced memory capabilities including conflict detection, temporal queries, and an "answer from memory" function.
06Hive Memory for multi-device sharing, enabling shared memory pools across different agents and devices.
montycat-mcp logomontycat-mcp
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
04

Use Cases

engram-memory logoengram-memory
↳Providing long-term memory for AI agents (e.g., Claude Code, Cursor) to remember codebase details, user preferences, and architectural decisions across sessions.
↳Enabling multi-agent systems to share a common knowledge base and collaborate effectively through shared memory pools (Hive Memory).
↳Answering complex questions by synthesizing information from an agent's stored memories, both locally and optionally with cloud enhancement.
↳Auditing an agent's knowledge at specific points in time or over date ranges using temporal queries for incident analysis or historical context.
↳Storing and retrieving user preferences, facts, decisions, goals, and insights efficiently and semantically for personalized agent interactions.
montycat-mcp logomontycat-mcp
↳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
FAQ

FAQ

What is the difference between engram-memory and montycat-mcp?
Both engram-memory and montycat-mcp are in the Memory & Context category. engram-memory has 38 stars, while montycat-mcp has 28 stars.
Which is better, engram-memory or montycat-mcp?
The best choice depends on your use case. Choose engram-memory if Providing long-term memory for AI agents (e.g., Claude Code, Cursor) to remember codebase details, user preferences, and architectural decisions across sessions., and montycat-mcp if Storing and recalling team decisions and preferences.
Is engram-memory free or open source?
Yes, engram-memory is open source on GitHub (NOASSERTION).
Is montycat-mcp free or open source?
Yes, montycat-mcp is open source on GitHub (MIT).
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