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memU Bot

Proactive agent with persistent memory that improves over time

+ Pros

  • +Always-on proactive agent that captures intent in the background
  • +Scalable memory system with categories, items, and cross-links
  • +Reduces long-run context cost by caching relevant fragments

- Cons

  • -More involved setup – requires Python 3.13+ and optional Postgres
  • -Younger project with less community adoption

## Pricing

Open Source
Free
Self-hosted with optional Postgres + pgvector
Cloud
Contact
Managed cloud version available

## Best for

  • +Proactive, always-on agent that captures intent in the background
  • +Scalable memory with categories, items, and cross-links
  • +Reducing long-run context cost via cached relevant fragments

## Avoid when

  • +Simple one-off or short-session use cases
  • +Teams unwilling to run Python 3.13+ or optional Postgres

## Deployment

Self-hostedManaged cloud (contact)

## Security & reliability

Self-hosted control of data. Optional Postgres + pgvector for memory; security depends on deployment.

  • ·Persistent memory (categories, items, cross-links)
  • ·Proactive background capture

## Integrations

OpenAI. Telegram. Optional Postgres + pgvector for memory.

## Cost

Free/open source self-hosted; cloud by contact. Model = OpenAI API; memory storage = Postgres if used.

## Setup

Complexity: Medium

## Evidence / sources

## Install

$ pip install -e .

## Supported Models

OpenAI

## Chat Channels

Telegram

## System Requirements

Python 3.13+, optional Postgres + pgvector

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licenseOpen Source
category[OpenClaw Alternatives]
fromFree
stack
Python
sourceview →
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