Ori-Mnemos logo
Ori-Mnemos
★ 333
vs
superlocalmemory logo
superlocalmemory
★ 255

Ori-Mnemos vs superlocalmemory

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.; superlocalmemory: SuperLocalMemory V3 is a local-first AI agent memory system that uses mathematical techniques (differential geometry, algebraic topology, stochastic analysis) to replace cloud LLM dependency. It offers three operating modes, achieves high benchmark scores, and is EU AI Act compliant.

01

TL;DR

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

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

superlocalmemory logo
superlocalmemoryRAG / Knowledge Base · ★ 255

IDE integration (Claude Code, Cursor, Windsurf)

02

Side-by-Side Comparison

Field
Ori-Mnemos logoOri-Mnemos
superlocalmemory logosuperlocalmemory
Category
Memory & Context
RAG / Knowledge Base
Stars
★ 333
★ 255
License
Apache-2.0
AGPL-3.0
Install Command
npm install -g ori-memory && ori init my-agent && cd my-agent
npm install -g superlocalmemory
Updated
3w ago
1d ago
Open Source
Yes
Yes
Tags
agent-memory, ai-agent, ai-agents
agent-memory, agent-reliability, ai-agents
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
superlocalmemory logosuperlocalmemory
015-channel hybrid retrieval (Semantic, BM25, Entity Graph, Temporal, Hopfield)
02Auto-learned soft prompts and adaptive memory lifecycle
03Skill evolution with performance tracking
04Tiered storage (active/warm/cold/archived)
05Trust & Security (Bayesian trust scoring, ABAC, audit trail)
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
superlocalmemory logosuperlocalmemory
↳IDE integration (Claude Code, Cursor, Windsurf)
↳CI/CD pipelines
↳Agent frameworks (OpenClaw, Codex, Goose)
FAQ

FAQ

What is the difference between Ori-Mnemos and superlocalmemory?
Both Ori-Mnemos and superlocalmemory are in the Memory & Context category. Ori-Mnemos has 333 stars, while superlocalmemory has 255 stars.
Which is better, Ori-Mnemos or superlocalmemory?
The best choice depends on your use case. Choose Ori-Mnemos if Multi-hop retrieval QA (e.g., HotpotQA), and superlocalmemory if IDE integration (Claude Code, Cursor, Windsurf).
Is Ori-Mnemos free or open source?
Yes, Ori-Mnemos is open source on GitHub (Apache-2.0).
Is superlocalmemory free or open source?
Yes, superlocalmemory is open source on GitHub (AGPL-3.0).
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