OpenLobster

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Category:Personal AI Assistants

Overview

An open-source self-hosted AI assistant with multi-user memory, secure tool use, scheduling, and multi-channel support.

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software developers system administrators automation engineers security engineers technical power users

OpenLobster is an open-source, self-hosted personal AI assistant that evolved as an opinionated fork of OpenClaw with a stronger focus on security, multi-user support, structured memory, and operational usability. Its official GitHub repository describes a redesigned architecture with a real scheduler, per-user histories and permissions, GraphQL API, encrypted secrets storage, dashboard authentication enabled by default, and support for channels such as Telegram, Discord, Slack, WhatsApp, and Twilio SMS. It can connect to multiple AI providers including OpenAI, Anthropic, Ollama, OpenRouter, and OpenAI-compatible backends, while using Neo4j or file-based memory and offering MCP integrations with OAuth support. OpenLobster is aimed at users who want a self-hosted assistant that can operate across channels, automate recurring work, and maintain richer long-term context than simpler local agent setups.

Autonomy level

78%

Reasoning: OpenLobster is an opinionated variant of OpenClaw currently in Beta that inherits the parent framework's autonomous capabilities. As a derivative of OpenClaw, it can plan and execute multi-step tasks using LLM-powered reasoning loops and operates with true agentic autonomy, including the ability to act on defined triggers without human intervention...

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Some of the use cases of OpenLobster:

Running a self-hosted AI assistant across chat channels such as Slack, Telegram, Discord, and WhatsApp.
Managing recurring and one-off automations with a real scheduler and visible task logs.
Using structured long-term memory with Neo4j or a local file backend instead of flat note files.
Controlling per-user permissions and secure tool access for a multi-user assistant deployment.

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