AgentIndex icon
AgentIndex
Ori-Mnemos logo
Ori-Mnemos
★ 333
vs
neurostack logo
neurostack
★ 47

Ori-Mnemos vs neurostack

Ori-Mnemos: Ori Mnemos is an open-source persistent memory infrastructure for AI agents that implements human cognition models on a knowledge graph. It uses ACT-R decay, spreading activation, and Hebbian learning to manage memory, and achieves state-of-the-art retrieval performance while being zero-infrastructure and portable.; 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

Ori-Mnemos logo
Ori-MnemosMemory & Context · ★ 333

Multi-hop retrieval QA (e.g., HotpotQA)

Read Ori-Mnemos 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
Ori-Mnemos logoOri-Mnemos
neurostack logoneurostack
Category
Memory & Context
Memory & Context
Stars
★ 333
★ 47
License
Apache-2.0
Apache-2.0
Install Command
npm install -g ori-memory && ori init my-agent && cd my-agent
npm install -g neurostack && neurostack install && neurostack init
Updated
3w ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agent-memory, ai-agent, ai-agents
ai-memory, knowledge-graph, local-ai
03

Features

Ori-Mnemos logoOri-Mnemos
01Persistent memory across sessions, clients, and machines
02Knowledge graph with wiki-links, PageRank, and community detection
03Three memory spaces with cognitive forgetting (ACT-R decay)
04Four-signal fusion retrieval (semantic, BM25, PageRank, warmth)
05Retrieval intelligence with Q-learning and meta-learning
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02Stale note detection to prevent AI from citing outdated information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

Ori-Mnemos logoOri-Mnemos
↳Multi-hop retrieval QA (e.g., HotpotQA)
↳Long-term conversational memory (e.g., LoCoMo)
↳Persistent AI agent identity and knowledge
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 Ori-Mnemos and neurostack?
Both Ori-Mnemos and neurostack are in the Memory & Context category. Ori-Mnemos has 333 stars, while neurostack has 47 stars.
Which is better, Ori-Mnemos or neurostack?
The best choice depends on your use case. Choose Ori-Mnemos if Multi-hop retrieval QA (e.g., HotpotQA), and neurostack if Give Claude Code or other AI assistants persistent memory across sessions.
Is Ori-Mnemos free or open source?
Yes, Ori-Mnemos is open source on GitHub (Apache-2.0).
Is neurostack free or open source?
Yes, neurostack is open source on GitHub (Apache-2.0).
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Related

Alternatives to Ori-Mnemos →Alternatives to neurostack →Ori-Mnemos details →neurostack details →