AgentIndex icon
AgentIndex
crystalline logo
crystalline
★ 17
vs
okf-agent-memory logo
okf-agent-memory
★ 830

crystalline vs okf-agent-memory

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.; 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

crystalline logo
crystallineRAG / Knowledge Base · ★ 17

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

Read crystalline full review →
okf-agent-memory logo
okf-agent-memoryMemory & Context · ★ 830

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

Read okf-agent-memory full review →
02

Side-by-Side Comparison

Field
crystalline logocrystalline
okf-agent-memory logookf-agent-memory
Category
RAG / Knowledge Base
Memory & Context
Stars
★ 17
★ 830
License
AGPL-3.0
MIT
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
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
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agents, Knowledge Base, RAG
AI Agents, Persistent Memory, Knowledge Base
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.
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

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.
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

crystalline logocrystalline
—
okf-agent-memory logookf-agent-memory
Hidden Gem
FAQ

FAQ

What is the difference between crystalline and okf-agent-memory?
Both crystalline and okf-agent-memory are in the RAG / Knowledge Base category. crystalline has 17 stars, while okf-agent-memory has 830 stars.
Which is better, crystalline or okf-agent-memory?
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 okf-agent-memory if Software Engineering: Managing architecture decisions, code references, and operational constraints..
Is crystalline free or open source?
Yes, crystalline is open source on GitHub (AGPL-3.0).
Is okf-agent-memory free or open source?
Yes, okf-agent-memory is open source on GitHub (MIT).
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Related

Alternatives to crystalline →Alternatives to okf-agent-memory →crystalline details →okf-agent-memory details →