Ori-Mnemos logo
Ori-Mnemos
★ 333
vs
matryca-plumber logo
matryca-plumber
★ 100

Ori-Mnemos vs matryca-plumber

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.; matryca-plumber: Matryca is a headless MCP server and CLI that turns a local Logseq graph into an agentic workspace. It operates without network APIs or background desktop app, using atomic AST writes and X-Ray token compression. It provides spatial intelligence, sandboxed privacy, and zero-database lexical engine.

01

TL;DR

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

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

matryca-plumber logo
matryca-plumberMemory & Context · ★ 100

Privacy-preserving AI knowledge management

02

Side-by-Side Comparison

Field
Ori-Mnemos logoOri-Mnemos
matryca-plumber logomatryca-plumber
Category
Memory & Context
Memory & Context
Stars
★ 333
★ 100
License
Apache-2.0
Apache-2.0
Install Command
npm install -g ori-memory && ori init my-agent && cd my-agent
git clone https://github.com/MarcoPorcellato/matryca-logseq-llm-wiki.git && cd matryca-logseq-llm-wiki && make install
Updated
3w ago
1d ago
Open Source
Yes
Yes
Tags
agent-memory, ai-agent, ai-agents
agentic-memory, ai-agents, andrej-karpathy
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
matryca-plumber logomatryca-plumber
01AST Spatial Intelligence
02100% Headless & Local-First
03X-Ray Token Economy
04Sandboxed Privacy
05Agent-Native CLI
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
matryca-plumber logomatryca-plumber
↳Privacy-preserving AI knowledge management
↳Agentic writing and refactoring of Logseq pages
↳Local-first automation with MCP clients like Claude Desktop
FAQ

FAQ

What is the difference between Ori-Mnemos and matryca-plumber?
Both Ori-Mnemos and matryca-plumber are in the Memory & Context category. Ori-Mnemos has 333 stars, while matryca-plumber has 100 stars.
Which is better, Ori-Mnemos or matryca-plumber?
The best choice depends on your use case. Choose Ori-Mnemos if Multi-hop retrieval QA (e.g., HotpotQA), and matryca-plumber if Privacy-preserving AI knowledge management.
Is Ori-Mnemos free or open source?
Yes, Ori-Mnemos is open source on GitHub (Apache-2.0).
Is matryca-plumber free or open source?
Yes, matryca-plumber is open source on GitHub (Apache-2.0).
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