AgentIndex icon
AgentIndex
crystalline logo
crystalline
★ 17
vs
data-olympus logo
data-olympus
★ 30

crystalline vs data-olympus

crystalline: Crystalline provides AI agents with crystallized intelligence, allowing them to accumulate and retain knowledge across sessions, unlike an LLM's fluid intelligence. It acts as a local search index on plain markdown files, enabling agents to onboard curated knowledge and capture new learnings, evolving from a stranger to a peer.; 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.

01

TL;DR

crystalline logo
crystallineRAG / Knowledge Base · ★ 17

Onboard AI agents with curated domain-specific knowledge at the start of each session.

Read crystalline full review →
data-olympus logo
data-olympusRAG / Knowledge Base · ★ 30

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

Read data-olympus full review →
02

Side-by-Side Comparison

Field
crystalline logocrystalline
data-olympus logodata-olympus
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 17
★ 30
License
AGPL-3.0
Apache-2.0
Install Command
brew install jordiboehme/tap/crystalline && crystalline install claude-code && mkdir -p ~/knowledge/engineering && crystalline domain init ~/knowledge/engineering --name engineering && crystalline domain add engineering ~/knowledge/engineering
uv venv && uv pip install -e '.[dev]'
Updated
2d ago
3d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agents, Knowledge Base, RAG
Knowledge Base, Agent Governance, Open Knowledge Format
03

Features

crystalline logocrystalline
01Structured knowledge organization using domains (folders) and engrams (markdown files).
02Hybrid search combining full-text and semantic ranking for efficient knowledge retrieval.
03Fluid web UI for human-agent collaboration, enabling reading, editing, and managing knowledge.
04Supports GitHub-based team collaboration with review workflows for shared knowledge.
05Knowledge graph and temporal filtering to understand relationships and time-bounded facts.
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.
04

Use Cases

crystalline logocrystalline
↳Onboard AI agents with curated domain-specific knowledge at the start of each session.
↳Enable AI agents to capture and persist new observations, decisions, and lessons learned from their work.
↳Facilitate team knowledge sharing and collaboration on a continually growing and evolving knowledge base.
↳Reduce redundancy and repeated explanations by providing agents with access to accumulated 'crystallized intelligence'.
↳Efficiently retrieve specific facts or context from a large collection of knowledge units based on task routing.
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.
FAQ

FAQ

What is the difference between crystalline and data-olympus?
Both crystalline and data-olympus are in the RAG / Knowledge Base category. crystalline has 17 stars, while data-olympus has 30 stars.
Which is better, crystalline or data-olympus?
The best choice depends on your use case. Choose crystalline if Onboard AI agents with curated domain-specific knowledge at the start of each session., and data-olympus if Guiding AI agents to adhere to established engineering standards and architectural decisions..
Is crystalline free or open source?
Yes, crystalline is open source on GitHub (AGPL-3.0).
Is data-olympus free or open source?
Yes, data-olympus is open source on GitHub (Apache-2.0).
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Related

Alternatives to crystalline →Alternatives to data-olympus →crystalline details →data-olympus details →