AgentIndex icon
AgentIndex
Compartment logo
Compartment
★ 584
vs
mneme logo
mneme
★ 167

Compartment vs mneme

Compartment: Compartment provides durable, encrypted, and offline-first memory for AI agents, allowing them to retain decisions and preferences permanently on your local machine. It offers fast hybrid search, robust security features including AEAD encryption, and easy integration with popular AI agents like Claude, Hermes, and OpenClaw without needing cloud accounts or API keys.; mneme: dsh-mneme is a DeepSeek Harness plugin providing sophisticated cross-session memory for LLMs. It not only stores information but actively manages it through features like background deduplication, conflict resolution, and auditable history, ensuring AI remembers past interactions.

01

TL;DR

Compartment logo
CompartmentMemory & Context · ★ 584

Providing long-term memory for AI agents to improve performance over time.

Read Compartment full review →
mneme logo
mnemeMemory & Context · ★ 167

Continuing project discussions across multiple sessions without repetition.

Read mneme full review →
02

Side-by-Side Comparison

Field
Compartment logoCompartment
mneme logomneme
Category
Memory & Context
Memory & Context
Stars
★ 584
★ 167
License
Apache-2.0
MIT
Install Command
pip install compartment && compartment init
dsh plugin --profile web add @modusensus/dsh-mneme && dsh web
Updated
3d ago
2d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Agentic Memory, Offline-first, Encrypted Storage
LLM Memory, Cross-Session Context, DeepSeek Harness Plugin
03

Features

Compartment logoCompartment
01Durable and encrypted agentic memory stored locally.
02100% offline operation with no network, API keys, or cloud accounts.
03Fast hybrid semantic and keyword search with sub-20ms latency.
04Pre-seeded knowledge base with 6,718 curated facts available at install.
05Cryptographic deletion and hash-chained audit logs ensure data security and integrity.
mneme logomneme
01Replayable and Auditable Memory
02Conflict Resolution with Human Oversight
03Agent and Workspace Memory Isolation
04Offline-first Local Semantic Search
05Automatic Background Memory Consolidation
04

Use Cases

Compartment logoCompartment
↳Providing long-term memory for AI agents to improve performance over time.
↳Enabling AI agents to operate effectively offline with a rich knowledge base.
↳Securely storing sensitive agentic data, decisions, and preferences locally.
↳Sharing a single, encrypted memory vault across multiple AI agents and projects.
↳Automatically preserving full conversation context before agent summarization or compaction.
mneme logomneme
↳Continuing project discussions across multiple sessions without repetition.
↳Persisting AI's understanding of user preferences and coding habits long-term.
↳Automatic archiving and retrieval of organized research notes after closing chat windows.
FAQ

FAQ

What is the difference between Compartment and mneme?
Both Compartment and mneme are in the Memory & Context category. Compartment has 584 stars, while mneme has 167 stars.
Which is better, Compartment or mneme?
The best choice depends on your use case. Choose Compartment if Providing long-term memory for AI agents to improve performance over time., and mneme if Continuing project discussions across multiple sessions without repetition..
Is Compartment free or open source?
Yes, Compartment is open source on GitHub (Apache-2.0).
Is mneme free or open source?
Yes, mneme is open source on GitHub (MIT).
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Related

Alternatives to Compartment →Alternatives to mneme →Compartment details →mneme details →