AgentIndex icon
AgentIndex
ogham-mcp logo
ogham-mcp
★ 116
vs
neurostack logo
neurostack
★ 47

ogham-mcp vs neurostack

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.; neurostack: NeuroStack is a self-hosted MCP server and CLI that indexes Markdown vaults by meaning, providing AI agents with persistent memory across sessions. It detects stale notes, supports semantic and keyword search, and uses tiered retrieval to minimize token usage. Fully local, it never modifies your files.

01

TL;DR

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 →
neurostack logo
neurostackMemory & Context · ★ 47

Give Claude Code or other AI assistants persistent memory across sessions

Read neurostack full review →
02

Side-by-Side Comparison

Field
ogham-mcp logoogham-mcp
neurostack logoneurostack
Category
Memory & Context
Memory & Context
Stars
★ 116
★ 47
License
MIT
Apache-2.0
Install Command
uvx --from ogham-mcp ogham init
npm install -g neurostack && neurostack install && neurostack init
Updated
1w ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agent-memory, ai-memory, claude
ai-memory, knowledge-graph, local-ai
03

Features

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
neurostack logoneurostack
01Hybrid semantic + keyword search across your Markdown vault
02Stale note detection to prevent AI from citing outdated information
03Agent write-back memory that persists across sessions
04Token-efficient tiered retrieval (triples → summaries → full content)
05Fully local, never modifies vault files
04

Use Cases

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
neurostack logoneurostack
↳Give Claude Code or other AI assistants persistent memory across sessions
↳Search your personal knowledge base by meaning, not just keywords
↳Extract decisions, bugs, and learnings from session transcripts automatically
FAQ

FAQ

What is the difference between ogham-mcp and neurostack?
Both ogham-mcp and neurostack are in the Memory & Context category. ogham-mcp has 116 stars, while neurostack has 47 stars.
Which is better, ogham-mcp or neurostack?
The best choice depends on your use case. Choose ogham-mcp if Store and retrieve architectural decisions and coding context across sessions and different AI coding agents, and neurostack if Give Claude Code or other AI assistants persistent memory across sessions.
Is ogham-mcp free or open source?
Yes, ogham-mcp is open source on GitHub (MIT).
Is neurostack free or open source?
Yes, neurostack is open source on GitHub (Apache-2.0).
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