mymir logo
mymir
★ 196
vs
AgentRecall-MCP logo
AgentRecall-MCP
★ 371

mymir vs AgentRecall-MCP

mymir: Mymir replaces the cycle of agents having no memory by providing a context network and retrieval interface. It manages the full lifecycle from brainstorming to execution, allowing agents to walk into every session knowing exactly what to do next. Built as a Claude Code plugin, it automatically provides stage-appropriate context and tracks progress.; AgentRecall-MCP: AgentRecall is a learning loop for AI agents that provides persistent, compounding memory. It captures corrections automatically, surfaces past insights across projects, and uses a five-layer memory pyramid with Ebbinghaus decay and Bayesian feedback. Zero cloud, all local markdown files.

01

TL;DR

mymir logo
mymirDev Tooling · ★ 196

Start a new project from scratch: describe an idea and Mymir decomposes it into tasks

AgentRecall-MCP logo
AgentRecall-MCPMemory & Context · ★ 371

Maintain context across AI agent sessions (Claude Code, Cursor, etc.)

02

Side-by-Side Comparison

Field
mymir logomymir
AgentRecall-MCP logoAgentRecall-MCP
Category
Dev Tooling
Memory & Context
Stars
★ 196
★ 371
License
AGPL-3.0
MIT
Install Command
git clone [email protected]:FrkAk/mymir.git && cd mymir && bun install && cp .env.local.example .env.local && bun run db:setup && bun run dev
claude mcp add --scope user agent-recall -- npx -y agent-recall-mcp
Updated
1w ago
1w ago
Open Source
Yes
Yes
Tags
agent-native, claude-code, claude-code-plugin
agent-memory, ai-agents, claude-code
03

Features

mymir logomymir
01Context network: live map of project decisions and relationships
02Context retrieval interface: agents query and use knowledge at the right moment
03End-to-end lifecycle management: brainstorm, decompose, refine, plan, execute, track
04Automatic context provision: agents get stage-specific context without manual handoff
05Integration with Claude Code as a plugin with 6 MCP tools and specialized agents
AgentRecall-MCP logoAgentRecall-MCP
01Persistent, compounding memory with 200-line awareness cap
02Automatic correction capture and alignment checking
03Cross-project insight recall via keyword and semantic (pgvector) search
04Zero cloud, all local markdown files, Obsidian-compatible
0510 MCP tools for agents, plus SDK and CLI
04

Use Cases

mymir logomymir
↳Start a new project from scratch: describe an idea and Mymir decomposes it into tasks
↳Ask what's next: Mymir finds unblocked tasks on the critical path and provides context
↳Record what happened: captures execution records and decisions for downstream tasks
AgentRecall-MCP logoAgentRecall-MCP
↳Maintain context across AI agent sessions (Claude Code, Cursor, etc.)
↳Capture and learn from user corrections in software development
↳Coordinate memory across multiple parallel agents
FAQ

FAQ

What is the difference between mymir and AgentRecall-MCP?
Both mymir and AgentRecall-MCP are in the Dev Tooling category. mymir has 196 stars, while AgentRecall-MCP has 371 stars.
Which is better, mymir or AgentRecall-MCP?
The best choice depends on your use case. Choose mymir if Start a new project from scratch: describe an idea and Mymir decomposes it into tasks, and AgentRecall-MCP if Maintain context across AI agent sessions (Claude Code, Cursor, etc.).
Is mymir free or open source?
Yes, mymir is open source on GitHub (AGPL-3.0).
Is AgentRecall-MCP free or open source?
Yes, AgentRecall-MCP is open source on GitHub (MIT).
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