mneme
Active·★ 167·MIT·Updated 2026-10-21
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.
#LLM Memory#Cross-Session Context#DeepSeek Harness Plugin#Knowledge Management#Offline AI#Auditable Systems#Semantic Search#Multi-Agent Integration
01
Features
01Replayable and Auditable Memory
02Conflict Resolution with Human Oversight
03Agent and Workspace Memory Isolation
04Offline-first Local Semantic Search
05Automatic Background Memory Consolidation
02
Compatibility
DeepSeek Harness
Platform
Verified via docs
Node.js
Runtime
Verified via docs
MCP Clients
Integration
Verified via docs
03
Quick start
1
$ dsh plugin --profile web add @modusensus/dsh-mneme
2
$ dsh web
04
Use cases
↳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.
05
Alternatives
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engram-mcp★ 18
MCP server in Rust for AI agent persistent memory: branch-aware session handoffs, local ONNX embeddings, SQLite-backed semantic search.
Compartment★ 584
Encrypted, fully offline agentic memory. One click install, GUI w/ memory map, all OS and agents. Logically and mathematically sound storage and retrieval.
perseus-vault★ 72
Perseus Vault — persistent, deterministic memory for AI agents. They guess. We remember. SQLite + FTS5, AES-256-GCM, bi-temporal history, crypto-chained audit, 57 MCP tools. Local-first, single Rust binary. (formerly Mneme/Mimir)
mcp-local-memory★ 60
A lightweight, powerful local memory server for AI agents supporting text, entities, and relations. Enables persistent codebase understanding and user preference management.
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