AgentIndex icon
AgentIndex
its-over-9k logo
its-over-9k
★ 0
vs
ogham-mcp logo
ogham-mcp
★ 116

its-over-9k vs ogham-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.; ogham-mcp: Ogham MCP is a persistent, searchable shared memory system for AI coding agents that works across different clients and sessions. It stores memories as vector embeddings in PostgreSQL, enabling hybrid search combining semantic and full-text retrieval with high accuracy. Ogham supports multiple embedding providers, knowledge graph traversal, wiki compilation, and automatic memory management features like scoring, condensing, and novelty detection.

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 →
ogham-mcp logo
ogham-mcpMemory & Context · ★ 116

Store and retrieve architectural decisions and coding context across sessions and different AI coding agents

Read ogham-mcp full review →
02

Side-by-Side Comparison

Field
its-over-9k logoits-over-9k
ogham-mcp logoogham-mcp
Category
Memory & Context
Memory & Context
Stars
★ 0
★ 116
License
MIT
MIT
Install Command
npm install -g its-over-9k
uvx --from ogham-mcp ogham init
Updated
1mo ago
1w ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
ai-agents, ai-tools, claude
agent-memory, ai-memory, claude
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
ogham-mcp logoogham-mcp
01Persistent shared memory across sessions and clients
02Hybrid search with Reciprocal Rank Fusion (semantic + full-text)
03Knowledge graph with entity linking, traversal, and contradiction detection
04Multi-provider embeddings (OpenAI, Ollama, Mistral, Voyage, Gemini, ONNX)
05Automatic condensing, scoring, novelty detection, and memory lifecycle management
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
ogham-mcp logoogham-mcp
↳Store and retrieve architectural decisions and coding context across sessions and different AI coding agents
↳Provide consistent, context-aware assistance to AI coding agents by maintaining a shared knowledge base
↳Preserve project-specific information, preferences, and facts for long-term reference without repetition
FAQ

FAQ

What is the difference between its-over-9k and ogham-mcp?
Both its-over-9k and ogham-mcp are in the Memory & Context category. its-over-9k has 0 stars, while ogham-mcp has 116 stars.
Which is better, its-over-9k or ogham-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 ogham-mcp if Store and retrieve architectural decisions and coding context across sessions and different AI coding agents.
Is its-over-9k free or open source?
Yes, its-over-9k is open source on GitHub (MIT).
Is ogham-mcp free or open source?
Yes, ogham-mcp is open source on GitHub (MIT).
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