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automem

verygoodplugins/automem

Graph-vector memory service for durable, relational AI assistant memory

GitHub Website

GraphCanon updated 4d · GitHub synced 4d · 33 views this month

802 stars102 forksLast push 1w Python MIT

Decision brief

AutoMem leverages both graph and vector database technologies to provide AI assistants with durable relational memory.

Good fit when

Use AutoMem when you need an AI assistant capable of maintaining rich, relational memories over time.
Ideal for applications where AI needs to recall not just information but also the relationships between pieces of data.

Avoid when

Avoid using AutoMem if your application does not benefit from persistent memory or relational context, as it might add unnecessary overhead.
If you require a simpler key-value storage system for less complex or non-relational data, AutoMem's graph and vector capabilities may be overkill.

Pricing:: freemium - Free for open-source use, with no explicit commercial licensing information provided.

Observed Jul 12, 2026 · Source: enrich:decision_facts

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Maintenance and security

Full trust report

Maintenance: Active (7d since push); As of 4d
Provenance: Not a fork · Organization account; As of 4d
Security (OSV): No lockfile; As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install automem

PyPI

How it fits your stack(1)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Integrates

claude-mem

Claude-mem could integrate with automem to enhance memory storage and retrieval capabilities using graph-vector services.

integrates

Relationship graph

Optional deeper exploration of typed edges and category neighbours.

TencentDB-Agent-Memory24k★

IntegratesRelated

TencentDB-Agent-Memory24k★

IntegratesRelated

Similar tools

Same-category neighbours not already linked as typed edges.

mempalace

The best-benchmarked open-source AI memory system.

58k★

private-gpt

Complete API layer for private AI applications on local models

57k★

khoj

Your AI second brain. Self-hostable.

37k★

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

AutoMem is a tool in Python that enables AI assistants to have persistent and relationship-aware memory by utilizing graph and vector database technologies.

Capability facts

Deploy: Self-host
Source: dockerfile:Dockerfile · Aug 21, 2026
Docker: Dockerfile present
Source: dockerfile:Dockerfile · Aug 21, 2026
Languages: python
Source: github.language+pyproject.toml · Aug 21, 2026

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Works with ChatGPTChatGPT

Source: README excerpt (regex_v1, Aug 21, 2026)

- [Remote MCP](docs/MCP_SSE.md) — ChatGPT, Claude.ai, ElevenLabs

Source link

README

Docker Compose (local)

git clone https://github.com/verygoodplugins/automem.git
cd automem
make dev

Service	URL	Purpose
AutoMem API	`http://localhost:8001`	Memory REST API
FalkorDB	`localhost:6379`	Graph database
Qdrant	`localhost:6333`	Vector database
FalkorDB Browser	`http://localhost:3000`	Local graph inspection UI

→ Full setup: INSTALLATION.md

Docs, community, and license

Setup

Installation guide — Railway, Docker, development
Qdrant setup — vector database configuration
Environment variables — full reference

API and integration

API reference — endpoints, scoring, enrichment
Remote MCP — ChatGPT, Claude.ai, ElevenLabs
Migrations — embedding dimensions, 0.16.0 data migrations, MCP SQLite import

Research and comparison

Research foundation — papers and how AutoMem implements them
Comparison — vs. RAG, vector DBs, building your own
Benchmark history — internal LoCoMo / LongMemEval harness runs + the neutral AMB (BEAM + Core-3) summary
AMB head-to-head + reproducibility — neutral Agent Memory Benchmark results and the AUTOMEM_REPRODUCE.md "run it yourself" recipe

Operations

Scripts — maintenance, migration, recovery, and eval tooling, by lifecycle
Health monitoring & backups
Testing guide — unit, integration, benchmarks

Community

automem.ai — official site
Discord — community chat
X / @automem_ai — updates
YouTube / @AutoJackBot — tutorials
GitHub issues — bugs and feature requests

Sibling repos

mcp-automem — universal MCP bridge / install funnel
automem-evals — exploratory recall-quality lab
automem-graph-viewer — standalone graph visualization

MIT licensed. Deploy anywhere. No vendor lock-in.

For agents

This page has a .md twin and JSON over the API.

/tools/verygoodplugins-automem.md GET /api/graphcanon/tools/verygoodplugins-automem GET /api/graphcanon/graph?tool=verygoodplugins-automem