AgentIndex icon
AgentIndex
its-over-9k logo
its-over-9k
★ 0
vs
AgentRecall-MCP logo
AgentRecall-MCP
★ 371

its-over-9k vs AgentRecall-MCP

its-over-9k: Its-Over-9k is a memory framework for AI agents that provides persistent, portable, token-efficient knowledge across sessions and devices. It uses a hierarchical 5-level lazy loading system and hooks to automatically capture session exchanges and generate checkpoints, enabling agents to continue work without re-reading codebases.; 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

its-over-9k logo
its-over-9kMemory & Context · ★ 0

Persist project context across AI sessions without re-reading code

Read its-over-9k full review →
AgentRecall-MCP logo
AgentRecall-MCPMemory & Context · ★ 371

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

Read AgentRecall-MCP full review →
02

Side-by-Side Comparison

Field
its-over-9k logoits-over-9k
AgentRecall-MCP logoAgentRecall-MCP
Category
Memory & Context
Memory & Context
Stars
★ 0
★ 371
License
MIT
MIT
Install Command
npm install -g its-over-9k
claude mcp add --scope user agent-recall -- npx -y agent-recall-mcp
Updated
1mo ago
1w ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
ai-agents, ai-tools, claude
agent-memory, ai-agents, claude-code
03

Features

its-over-9k logoits-over-9k
01Automatic session memory - every conversation is recorded across sessions and devices
02Haiku background checkpoints - extracts lessons and decisions every N exchanges
03Project-based organization - memory is tied to projects, not sessions
04Skills system - structured behavior files loaded on demand
05Embeddable SDK - use HmemStore in your own agents and tools
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

its-over-9k logoits-over-9k
↳Persist project context across AI sessions without re-reading code
↳Sync memory across multiple devices using encrypted sync
↳Share company memory among team agents and tools
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 its-over-9k and AgentRecall-MCP?
Both its-over-9k and AgentRecall-MCP are in the Memory & Context category. its-over-9k has 0 stars, while AgentRecall-MCP has 371 stars.
Which is better, its-over-9k or AgentRecall-MCP?
The best choice depends on your use case. Choose its-over-9k if Persist project context across AI sessions without re-reading code, and AgentRecall-MCP if Maintain context across AI agent sessions (Claude Code, Cursor, etc.).
Is its-over-9k free or open source?
Yes, its-over-9k is open source on GitHub (MIT).
Is AgentRecall-MCP free or open source?
Yes, AgentRecall-MCP is open source on GitHub (MIT).
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