Ori-Mnemos
★ 307
vs
holaOS
★ 5.4k
Ori-Mnemos vs holaOS
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.; holaOS: holaOS is an agent environment built for long-horizon work, continuity, and self-evolution. It provides agents with a structured operating system including runtime, memory, tools, apps, and durable state, enabling them to operate continuously, evolve over time, and remain inspectable across different runs.
01
TL;DR
Choose Ori-Mnemos if…Multi-hop retrieval QA (e.g., HotpotQA)
Choose holaOS if…Building agents that perform complex, multi-step tasks over extended periods
02
Side-by-Side Comparison
03
Features
Ori-Mnemos01Persistent 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
holaOS01Structured operating system for agents
02Designed for long-horizon work and continuity
03Enables agents to self-evolve over time
04Provides durable state and memory for continuous operation
05Offers inspectable state across multiple runs
04
Use Cases
Ori-Mnemos↳Multi-hop retrieval QA (e.g., HotpotQA)
↳Long-term conversational memory (e.g., LoCoMo)
↳Persistent AI agent identity and knowledge
holaOS↳Building agents that perform complex, multi-step tasks over extended periods
↳Developing continuously learning and evolving AI systems
↳Creating custom workspace applications on top of the holaOS environment
05
Best For
Ori-MnemosMemory & ContextRAG / Knowledge Base
holaOSTrendingMulti-AgentLLM Infra
FAQ
FAQ
What is the difference between Ori-Mnemos and holaOS?
Both Ori-Mnemos and holaOS are in the Memory & Context category. Ori-Mnemos has 307 stars, while holaOS has 5.4k stars.
Which is better, Ori-Mnemos or holaOS?
The best choice depends on your use case. Choose Ori-Mnemos if Multi-hop retrieval QA (e.g., HotpotQA), and holaOS if Building agents that perform complex, multi-step tasks over extended periods.
Is Ori-Mnemos free or open source?
Yes, Ori-Mnemos is open source on GitHub (Apache-2.0).
Is holaOS free or open source?
Yes, holaOS is open source on GitHub (MIT).
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