AgentIndex icon
AgentIndex
Co-Engram logo
Co-Engram
★ 11
vs
hippo-memory logo
hippo-memory
★ 784

Co-Engram vs hippo-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.; hippo-memory: Hippo is an AI agent memory layer inspired by the human hippocampus, designed to manage agent memory with features like default decay, strengthening through use, and full provenance. It integrates with various AI agents and tools, using SQLite for storage and offering a CLI for memory management, ensuring relevant context is always available without overwhelming the agent.

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 →
hippo-memory logo
hippo-memoryMemory & Context · ★ 784

Ensuring AI agents learn from past mistakes and avoid repetition.

Read hippo-memory full review →
02

Side-by-Side Comparison

Field
Co-Engram logoCo-Engram
hippo-memory logohippo-memory
Category
Memory & Context
Memory & Context
Stars
★ 11
★ 784
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
npm install -g hippo-memory && hippo init --scan ~
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, Memory Management, Context Window
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.
hippo-memory logohippo-memory
01Default memory decay with configurable half-life.
02Memories are strengthened through retrieval and use.
03Errors and important decisions are given longer persistence.
04Memory consolidation process ('sleep') merges and prunes memories.
05Context injection with token budgeting and flexible framing.
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.
hippo-memory logohippo-memory
↳Ensuring AI agents learn from past mistakes and avoid repetition.
↳Maintaining consistent memory across different AI agents and development tools.
↳Centralizing and making queryable memories from external systems like Slack and chat exports.
↳Providing short-term memory and task snapshots for continuous workflow.
↳Automating memory creation from git commit history and command failures.
05

Best For

Co-Engram logoCo-Engram
—
hippo-memory logohippo-memory
TrendingHidden Gem
FAQ

FAQ

What is the difference between Co-Engram and hippo-memory?
Both Co-Engram and hippo-memory are in the Memory & Context category. Co-Engram has 11 stars, while hippo-memory has 784 stars.
Which is better, Co-Engram or hippo-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 hippo-memory if Ensuring AI agents learn from past mistakes and avoid repetition..
Is Co-Engram free or open source?
Yes, Co-Engram is open source on GitHub (MIT).
Is hippo-memory free or open source?
Yes, hippo-memory is open source on GitHub (MIT).
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Related

Alternatives to Co-Engram →Alternatives to hippo-memory →Co-Engram details →hippo-memory details →