data-olympus logo
data-olympus
★ 31
vs
okf-agent-memory logo
okf-agent-memory
★ 843

data-olympus vs okf-agent-memory

data-olympus: data-olympus provides a governance-grade knowledge base for AI agent workforces, built on the Open Knowledge Format (OKF) with extensions for decision management. It enables agents and humans to access, search, and extend a version-controlled document graph of engineering standards and architectural decisions.; okf-agent-memory: OKF Agent Memory provides a domain-neutral, Git-native persistent project memory for AI agents, leveraging the Dual-Memory Agent Architecture to prevent context bloat and memory rot. It uses an ultra-compact behavioral codex and a queryable OKF v0.2 knowledge bundle, with blazing-fast, zero-cost local retrieval.

01

TL;DR

data-olympus logo
data-olympusRAG / Knowledge Base · ★ 31

Guiding AI agents to adhere to established engineering standards and architectural decisions.

okf-agent-memory logo
okf-agent-memoryMemory & Context · ★ 843

Software Engineering: Managing architecture decisions, code references, and operational constraints.

02

Side-by-Side Comparison

Field
data-olympus logodata-olympus
okf-agent-memory logookf-agent-memory
Category
RAG / Knowledge Base
Memory & Context
Stars
★ 31
★ 843
License
Apache-2.0
MIT
Install Command
uv venv && uv pip install -e '.[dev]'
git clone https://github.com/okf-memory/okf-agent-memory.git && cd okf-agent-memory && make build
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
Knowledge Base, Agent Governance, Open Knowledge Format
AI Agents, Persistent Memory, Knowledge Base
03

Features

data-olympus logodata-olympus
01Portable, no vendor lock-in with Git-native markdown files.
02Supports Git-native diffs and review for all changes.
03Readable by both AI agents and humans using plain markdown.
04Enables governed multi-agent writes without concurrent race conditions.
05Queryable by governance fields like status, tier, and type.
okf-agent-memory logookf-agent-memory
01Dual-Memory Cognitive Architecture (DMAA) to eliminate prompt bloat.
02Blazing fast performance with in-memory BM25 search (<300µs) and graph validation (~4ms).
03100% Git-native, zero vendor lock-in, and zero API costs for memory retrieval.
04Built on Google's Open Knowledge Format (OKF) v0.2 for standardized agent knowledge.
05Solves context bloat and memory rot through progressive disclosure and Search-Before-Write principle.
04

Use Cases

data-olympus logodata-olympus
↳Guiding AI agents to adhere to established engineering standards and architectural decisions.
↳Maintaining a version-controlled, auditable repository of project knowledge and governance rules.
↳Preventing AI agents from making choices that diverge from team-established best practices.
↳Enabling humans and agents to collaboratively read, search, and extend shared knowledge.
okf-agent-memory logookf-agent-memory
↳Software Engineering: Managing architecture decisions, code references, and operational constraints.
↳Scientific Research & Literature Reviews: Organizing and querying research findings and insights.
↳Coaching & Operations: Storing client session history, ethical guidelines, and runbooks.
↳Multi-Agent Collaboration: Providing a shared, auditable knowledge base for autonomous agents.
05

Best For

data-olympus logodata-olympus
—
okf-agent-memory logookf-agent-memory
Hidden Gem
FAQ

FAQ

What is the difference between data-olympus and okf-agent-memory?
Both data-olympus and okf-agent-memory are in the RAG / Knowledge Base category. data-olympus has 31 stars, while okf-agent-memory has 843 stars.
Which is better, data-olympus or okf-agent-memory?
The best choice depends on your use case. Choose data-olympus if Guiding AI agents to adhere to established engineering standards and architectural decisions., and okf-agent-memory if Software Engineering: Managing architecture decisions, code references, and operational constraints..
Is data-olympus free or open source?
Yes, data-olympus is open source on GitHub (Apache-2.0).
Is okf-agent-memory free or open source?
Yes, okf-agent-memory is open source on GitHub (MIT).
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