Ori-Mnemos logo
Ori-Mnemos
★ 333
vs
magic-context logo
magic-context
★ 2.4k

Ori-Mnemos vs magic-context

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.; magic-context: Magic Context is a context and memory plugin for coding agent harnesses (OpenCode, Pi and OMP) that compresses history in the background, lifts decisions and conventions into project memory and recalls them each turn. It replaces the host's built-in compaction so one session per project can run for weeks without pauses.

01

TL;DR

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

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

magic-context logo
magic-contextMemory & Context · ★ 2.4k

Keep one coding-agent session per project running for weeks

02

Side-by-Side Comparison

Field
Ori-Mnemos logoOri-Mnemos
magic-context logomagic-context
Category
Memory & Context
Memory & Context
Stars
★ 333
★ 2.4k
License
Apache-2.0
MIT
Install Command
npm install -g ori-memory && ori init my-agent && cd my-agent
npx @cortexkit/magic-context@latest setup
Updated
3w ago
1d ago
Open Source
Yes
Yes
Tags
agent-memory, ai-agent, ai-agents
agent-framework, agent-memory, 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
magic-context logomagic-context
01Background history compression that lifts durable knowledge into project memory
02Overnight dreamer agents verify, deduplicate and curate memories
03Automatic recall each turn plus search across memories, past conversations and git history
04Setup wizard that configures OpenCode, Pi or OMP and disables built-in compaction
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
magic-context logomagic-context
↳Keep one coding-agent session per project running for weeks
↳Avoid compaction pauses that drop context mid-task
↳Give an agent memory of past decisions and project conventions
05

Best For

Ori-Mnemos logoOri-Mnemos
—
magic-context logomagic-context
EssentialTrending
FAQ

FAQ

What is the difference between Ori-Mnemos and magic-context?
Both Ori-Mnemos and magic-context are in the Memory & Context category. Ori-Mnemos has 333 stars, while magic-context has 2.4k stars.
Which is better, Ori-Mnemos or magic-context?
The best choice depends on your use case. Choose Ori-Mnemos if Multi-hop retrieval QA (e.g., HotpotQA), and magic-context if Keep one coding-agent session per project running for weeks.
Is Ori-Mnemos free or open source?
Yes, Ori-Mnemos is open source on GitHub (Apache-2.0).
Is magic-context free or open source?
Yes, magic-context is open source on GitHub (MIT).
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