AgentIndex icon
AgentIndex
Co-Engram logo
Co-Engram
★ 11
vs
okf-agent-memory logo
okf-agent-memory
★ 830

Co-Engram vs okf-agent-memory

Co-Engram: Co-Engram is an advanced, self-evolving memory system designed for AI agents and teams, which models memory after the human brain's plasticity. It allows memories to strengthen with use, weaken upon failure, consolidate, and verify themselves, all stored as plain Markdown in Git for transparent version control.; 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

Co-Engram logo
Co-EngramMemory & Context · ★ 11

AI agent knowledge base: Agents can automatically capture, search, and update team knowledge through natural conversation.

Read Co-Engram 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
Co-Engram logoCo-Engram
okf-agent-memory logookf-agent-memory
Category
Memory & Context
Memory & Context
Stars
★ 11
★ 830
License
MIT
MIT
Install Command
npm install -g @co-engram/claude-code && mkdir -p ~/team-memory && cd ~/team-memory && git init && co-engram config data-root $HOME/team-memory
git clone https://github.com/okf-memory/okf-agent-memory.git && cd okf-agent-memory && make build
Updated
2mo ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Memory System, Self-Evolving, Knowledge Management
AI Agents, Persistent Memory, Knowledge Base
03

Features

Co-Engram logoCo-Engram
01Self-maintaining memory: An engine automatically strengthens, consolidates, and refutes memories based on usage and feedback.
02Git-based storage with Stable IDs: Memories are stored as Markdown files in Git with stable ULIDs, allowing clean diffs and persistent references.
03Tiered disclosure for LLM context: Provides different tiers of memory detail (catalog, digest, content) to optimize LLM context window usage.
04Learning loop & plasticity: Memories strengthen with successful use (LTP) and decay with failures or disuse (LTD), similar to brain plasticity.
05Synapse graph for related context: Connects memories with typed synapses, allowing automatic traversal to retrieve related context during search.
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

Co-Engram logoCo-Engram
↳AI agent knowledge base: Agents can automatically capture, search, and update team knowledge through natural conversation.
↳Team decision memory: Store important decisions and their rationale, which get reinforced when proven effective.
↳Procedural knowledge (Skills): Capture workflows, checklists, and operational capabilities that agents can learn, invoke, and chain.
↳Collaborative memory for developers: Maintain a shared, self-evolving knowledge base for coding patterns, system configurations, and project details.
↳Onboarding new team members: Provide new team members with a living, self-curating memory system that quickly surfaces relevant information.
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

Co-Engram logoCo-Engram
—
okf-agent-memory logookf-agent-memory
Hidden Gem
FAQ

FAQ

What is the difference between Co-Engram and okf-agent-memory?
Both Co-Engram and okf-agent-memory are in the Memory & Context category. Co-Engram has 11 stars, while okf-agent-memory has 830 stars.
Which is better, Co-Engram or okf-agent-memory?
The best choice depends on your use case. Choose Co-Engram if AI agent knowledge base: Agents can automatically capture, search, and update team knowledge through natural conversation., and okf-agent-memory if Software Engineering: Managing architecture decisions, code references, and operational constraints..
Is Co-Engram free or open source?
Yes, Co-Engram is open source on GitHub (MIT).
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 Co-Engram →Alternatives to okf-agent-memory →Co-Engram details →okf-agent-memory details →