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dense-mem
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dense-mem

Active·★ 39·Apache-2.0·Updated 2026-10-22

Dense-Mem is a self-hosted, durable memory layer for AI agents designed to preserve evidence, detect conflicts, and prevent silent rewriting of facts. It provides typed claims, verification gates, server-side embeddings, and structured recall, enabling host LLMs to focus on conversation and judgment while Dense-Mem manages memory state.

#AI Memory#Knowledge Graph#Conflict Detection#Provenance#Embeddings#Agent Memory
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Guides
#Self-hosted
#API
$ Install
$ mkdir dense-mem-local && cd dense-mem-local && curl -fsSLo docker-compose.yml https://raw.githubusercontent.com/markhuangai/dense-mem/main/examples/docker-compose.base.yml && curl -fsSLo .env.example https://raw.githubusercontent.com/markhuangai/dense-mem/main/examples/.env.example && cp .env.example .env && docker compose up -d
↗ Visit site★ GitHub
01

Features

01First-class evidence provenance, tracing memories from source fragments to facts.
02Facts pass through typed claims, verification, and promotion gates.
03Explicit conflict detection where comparable conflicts return clarification tasks, preventing silent overwrites.
04Clear responsibility boundary: host LLM judges, Dense-Mem manages durable state, gates, and audit metadata.
05Self-hosted with operator control over storage, team isolation, API keys, and data egress boundaries.
02

Compatibility

Go
Runtime
Verified via docs
Docker
Deployment
Verified via docs
Neo4j
Graph Database
Verified via docs
PostgreSQL
Relational Database
Verified via docs
OpenAPI
API Standard
Verified via docs
Redis
Caching/Messaging
Verified via docs
03

Quick start

1
$ mkdir dense-mem-local
2
$ cd dense-mem-local
3
$ curl -fsSLo docker-compose.yml https://raw.githubusercontent.com/markhuangai/dense-mem/main/examples/docker-compose.base.yml
4
$ curl -fsSLo .env.example https://raw.githubusercontent.com/markhuangai/dense-mem/main/examples/.env.example
5
$ cp .env.example .env
6
$ docker compose up -d
04

Use cases

↳Providing durable and verifiable memory for AI agents in complex tasks.
↳Building enterprise AI systems that require strong data governance, auditability, and trusted knowledge.
↳Resolving conflicting information in AI knowledge bases through user clarification and structured processes.
↳Enhancing AI agent reliability and explainability by preserving evidence and preventing silent fact rewriting.
05

Alternatives

⚡Top VS:
VSsqlite-memory-mcp★18→VSMAMA★15→VSmnemo★12→

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markhuangai /
dense-mem
↗

Self-hosted AI agent memory server with MCP, evidence provenance, typed claims, conflict detection, embeddings, recall, PostgreSQL, and Neo4j.

39Apache-2.0
Last commitToday
StatusActive
CategoryMemory & Context
Links
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