AgentIndex icon
AgentIndex
mneme logo
mneme
★ 167
vs
Vault-Agent-Memory logo
Vault-Agent-Memory
★ 50

mneme vs Vault-Agent-Memory

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.; Vault-Agent-Memory: Vault Agent Memory provides a governed, shared memory layer for AI agents, helping them manage what to remember, who can access it, and ensure its accuracy and relevance. It solves common agent memory failures like forgetting bug fixes, misprioritizing old information, and uncontrolled shared memory.

01

TL;DR

mneme logo
mnemeMemory & Context · ★ 167

Continuing project discussions across multiple sessions without repetition.

Read mneme full review →
Vault-Agent-Memory logo
Vault-Agent-MemoryMemory & Context · ★ 50

Agent developers integrating a governed memory layer into their AI agents.

Read Vault-Agent-Memory full review →
02

Side-by-Side Comparison

Field
mneme logomneme
Vault-Agent-Memory logoVault-Agent-Memory
Category
Memory & Context
Memory & Context
Stars
★ 167
★ 50
License
MIT
Apache-2.0
Install Command
dsh plugin --profile web add @modusensus/dsh-mneme && dsh web
curl -sSL https://raw.githubusercontent.com/zycaskevin/Vault-Agent-Memory/main/scripts/install.sh | bash && vault quickstart
Updated
2d ago
1mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
LLM Memory, Cross-Session Context, DeepSeek Harness Plugin
AI Agent Memory, Memory Governance, Multi-Agent Systems
03

Features

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
Vault-Agent-Memory logoVault-Agent-Memory
01Governed shared memory for multiple AI agents.
02Lifecycle management for memory, including review, promotion, and temporal boundaries.
03Access control and audit trails through governance metadata.
04Local-first architecture with optional self-hosted or cloud backends.
04

Use Cases

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.
Vault-Agent-Memory logoVault-Agent-Memory
↳Agent developers integrating a governed memory layer into their AI agents.
↳Power agent users preventing agents from forgetting crucial information across sessions.
↳Teams collaborating with multiple agents requiring shared, consistent, and auditable memory.
↳Obsidian users safely integrating their notes and knowledge base for agent consumption.
FAQ

FAQ

What is the difference between mneme and Vault-Agent-Memory?
Both mneme and Vault-Agent-Memory are in the Memory & Context category. mneme has 167 stars, while Vault-Agent-Memory has 50 stars.
Which is better, mneme or Vault-Agent-Memory?
The best choice depends on your use case. Choose mneme if Continuing project discussions across multiple sessions without repetition., and Vault-Agent-Memory if Agent developers integrating a governed memory layer into their AI agents..
Is mneme free or open source?
Yes, mneme is open source on GitHub (MIT).
Is Vault-Agent-Memory free or open source?
Yes, Vault-Agent-Memory is open source on GitHub (Apache-2.0).
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Related

Alternatives to mneme →Alternatives to Vault-Agent-Memory →mneme details →Vault-Agent-Memory details →