GraphMemory-IDE logo
GraphMemory-IDE
★ 17
vs
multi-agent-memory logo
multi-agent-memory
★ 64

GraphMemory-IDE vs multi-agent-memory

GraphMemory-IDE: GraphMemory-IDE is an AI-assisted long-term memory system for IDEs, powered by Kuzu graph database. It provides semantic vector search, graph-based knowledge storage, and real-time analytics. It integrates with VSCode, Cursor, and Windsurf via MCP protocol.; multi-agent-memory: Multi-Agent Memory is a cross-machine, cross-agent persistent memory system for AI agents. It provides a shared brain that works across machines, tools, and frameworks, allowing agents to store and recall facts, events, statuses, and decisions. Features include typed memory, entity extraction, LLM consolidation, credential scrubbing, and agent isolation.

01

TL;DR

GraphMemory-IDE logo
GraphMemory-IDEMemory & Context · ★ 17

AI-assisted context management during code development

multi-agent-memory logo
multi-agent-memoryMemory & Context · ★ 64

Sharing context between multiple AI agents (e.g., Claude Code, OpenClaw, n8n) across different machines

02

Side-by-Side Comparison

Field
GraphMemory-IDE logoGraphMemory-IDE
multi-agent-memory logomulti-agent-memory
Category
Memory & Context
Memory & Context
Stars
★ 17
★ 64
License
MIT
MIT
Install Command
git clone https://github.com/elementalcollision/GraphMemory-IDE.git && cd GraphMemory-IDE/docker && docker compose up -d
git clone https://github.com/ZenSystemAI/multi-agent-memory.git && cd multi-agent-memory && cp .env.example .env && docker compose up -d
Updated
1w ago
1d ago
Open Source
Yes
Yes
Tags
codon, codon-optimization, cursor
claude, cursor, deduplication
03

Features

GraphMemory-IDE logoGraphMemory-IDE
01Graph-based memory storage with semantic vector search
02Codon-accelerated graph algorithms for 10-100x speedups
03FastAPI backend with JWT authentication and security middleware
04Real-time analytics via WebSocket and SSE streaming
05Multi-IDE plugin support for VSCode, Cursor, and Windsurf
multi-agent-memory logomulti-agent-memory
01Typed memory with mutation semantics (event, fact, status, decision)
02Entity extraction and linking with fast and smart paths
03Credential scrubbing before storage
04Agent isolation and API gatekeeping
05Session briefings for catching up on changes
04

Use Cases

GraphMemory-IDE logoGraphMemory-IDE
↳AI-assisted context management during code development
↳Graph-based dependency analysis and knowledge graph exploration
↳Real-time monitoring and telemetry of IDE usage
multi-agent-memory logomulti-agent-memory
↳Sharing context between multiple AI agents (e.g., Claude Code, OpenClaw, n8n) across different machines
↳Persisting knowledge across sessions for autonomous agents
↳Centralized memory for multi-agent workflows and automation
FAQ

FAQ

What is the difference between GraphMemory-IDE and multi-agent-memory?
Both GraphMemory-IDE and multi-agent-memory are in the Memory & Context category. GraphMemory-IDE has 17 stars, while multi-agent-memory has 64 stars.
Which is better, GraphMemory-IDE or multi-agent-memory?
The best choice depends on your use case. Choose GraphMemory-IDE if AI-assisted context management during code development, and multi-agent-memory if Sharing context between multiple AI agents (e.g., Claude Code, OpenClaw, n8n) across different machines.
Is GraphMemory-IDE free or open source?
Yes, GraphMemory-IDE is open source on GitHub (MIT).
Is multi-agent-memory free or open source?
Yes, multi-agent-memory is open source on GitHub (MIT).
Cloud Infrastructure
Ad

Deploy on DigitalOcean

Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.

Claim $200 Free Credit
→

Related