Clawlet

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Clawlet is an ultra-lightweight and efficient personal AI assistant that offers hybrid semantic memory search. It runs as a single static binary with no runtime dependencies, making it easy to deploy on any machine.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is clawlet?

Clawlet is an ultra-lightweight and efficient personal AI assistant designed for seamless deployment and operation. It functions as a single static binary, eliminating runtime dependencies and CGO, and includes bundled SQLite with sqlite-vec for robust data management. This architecture allows for easy deployment on virtually any machine, providing immediate access to its powerful memory search capabilities. Clawlet supports various LLM providers including OpenAI, OpenRouter, Anthropic, Gemini, and local models via Ollama or vLLM. Key features include configurable agent generation defaults, optional semantic memory search with local embedding support, and secure defaults for file access and gateway binding. It also integrates with popular chat applications like Telegram, WhatsApp, Discord, and Slack, enabling versatile interaction with the AI assistant.

Best used for

Ideal for developers and technical users who need to deploy a personal AI assistant with minimal overhead, integrate AI capabilities into messaging platforms, and leverage hybrid semantic memory search for contextual interactions. Especially valuable for those seeking a self-contained, efficient, and highly configurable AI agent solution.

Common actions

deploy AI assistant

integrate AI with chat

manage AI memory

automate personal tasks

configure AI agents

github copilot"AI Agents"face swappingdeepfakeautomated workflowlow-code/no-codecollaborationworkflowsopen-source

Capabilities

Key features

Single static binary
Hybrid semantic memory search
Bundled SQLite + sqlite-vec
Configurable agent defaults
Multiple LLM provider support
Chat app integrations
Secure defaults

Target Audience

developerdata scientiststartup founder

Integrations

telegramwhatsappdiscordslackopenaianthropicgoogle-geminiollama

Pricing & Plans

Open Source

Free

FAQs

What makes Clawlet ultra-lightweight and efficient?

Clawlet is designed as a single static binary with no runtime dependencies or CGO, and includes bundled SQLite. This architecture allows it to be easily dropped onto any machine and run efficiently without requiring extensive setup or external libraries, making it highly portable and resource-friendly.

Which LLM providers does Clawlet support?

Clawlet supports a variety of LLM providers, including OpenAI, OpenRouter, Anthropic, and Gemini. It also allows integration with local models via Ollama or vLLM, providing flexibility for users to choose their preferred language model backend.

How does Clawlet handle memory and context?

Clawlet features hybrid semantic memory search, enabled by bundled SQLite and sqlite-vec. When memory search is enabled, the agent gains tools to retrieve past context. It indexes Markdown files like MEMORY.md and YYYY-MM-DD.md, injecting them into the user context for more informed interactions.

Can Clawlet be integrated with existing chat applications?

Yes, Clawlet offers integrations with popular chat applications such as Telegram, WhatsApp, Discord, and Slack. These integrations allow users to interact with their personal AI assistant directly through their preferred messaging platforms, often without requiring public webhook endpoints.

What security measures are in place for Clawlet?

Clawlet implements secure defaults, including restricting tools to the workspace directory, binding the gateway to localhost only, and blocking unsafe shell constructs in its exec tool. It also prevents path traversal and sensitive state path access, enhancing overall security.

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