Ori-Mnemos logo
Ori-Mnemos
★ 333
vs
zettelforge logo
zettelforge
★ 66

Ori-Mnemos vs zettelforge

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.; zettelforge: ZettelForge provides persistent memory for AI agents with automatic entity extraction, knowledge graph construction, and STIX ontology. It supports offline operation with no API keys or cloud dependencies. It features alias resolution, blended retrieval, and memory evolution for cyber threat intelligence.

01

TL;DR

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

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

zettelforge logo
zettelforgeMemory & Context · ★ 66

Persistent memory for AI agents in cyber threat intelligence

02

Side-by-Side Comparison

Field
Ori-Mnemos logoOri-Mnemos
zettelforge logozettelforge
Category
Memory & Context
Memory & Context
Stars
★ 333
★ 66
License
Apache-2.0
MIT
Install Command
npm install -g ori-memory && ori init my-agent && cd my-agent
pip install zettelforge
Updated
3w ago
1d ago
Open Source
Yes
Yes
Tags
agent-memory, ai-agent, ai-agents
ai-agent, claude-code, claude-code-plugin
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
zettelforge logozettelforge
01Entity extraction of CVEs, threat actors, IOCs, MITRE ATT&CK techniques, and more
02Knowledge graph with causal triple inference
03Alias resolution (e.g., APT28 = Fancy Bear)
04Blended retrieval combining vector similarity and graph traversal with intent classification
05Memory evolution with ADD/UPDATE/DELETE/NOOP decisions
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
zettelforge logozettelforge
↳Persistent memory for AI agents in cyber threat intelligence
↳Threat intelligence analysis and knowledge graph building
↳Tracking changes in threat actor tactics and techniques over time
FAQ

FAQ

What is the difference between Ori-Mnemos and zettelforge?
Both Ori-Mnemos and zettelforge are in the Memory & Context category. Ori-Mnemos has 333 stars, while zettelforge has 66 stars.
Which is better, Ori-Mnemos or zettelforge?
The best choice depends on your use case. Choose Ori-Mnemos if Multi-hop retrieval QA (e.g., HotpotQA), and zettelforge if Persistent memory for AI agents in cyber threat intelligence.
Is Ori-Mnemos free or open source?
Yes, Ori-Mnemos is open source on GitHub (Apache-2.0).
Is zettelforge free or open source?
Yes, zettelforge is open source on GitHub (MIT).
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