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ZeroClaw

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Struggling with automation that drains resources or introduces risk? ZeroClaw is a lightweight, security-first Rust-native autonomous AI agent framework designed for high-efficiency automation.

Stop Wasting Time on Manual Orchestration

ZeroClaw offers 22+ provider integrations, sandboxing, and a memory system to run reliable agents 24/7 on both server-class hardware and low-power devices like Raspberry Pi.

Your Aha Moment: True Autonomy

With a trait-driven architecture and encrypted secrets, you can swap providers and memory without vendor lock-in while keeping security and performance at the core.

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Email Verification: Verify ownership through your domain email.

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File Verification: Place our file in your server.

After verification, you'll have access to manage your AI tool's information (pending approval).

How ZeroClaw Works In 3 Steps?

  1. 1. Install Rust

    Install the Rust toolchain to build and run ZeroClaw securely on your system.
  2. 2. Clone & Build

    Clone the ZeroClaw repository and build the release to start the agent.
  3. 3. Run & Configure

    Launch the daemon and configure providers and security per guidelines.

Customer Reviews for ZeroClaw

Overall Analytics

Comprehensive review insights and historical performance

Very Positive (2) 5.0/5 2 reviews 100% recommend — Monthly growth
6-month timeline
Most helpful
William Anderson
William Anderson 0

I’m Kai, a Raspberry Pi tinkerer automating a small home lab. I needed edge automation that boots fast and stays lean. ZeroClaw’s Rust-native core delivers sub-second startup and a tiny runtime footprint, so agents run reliably on a Pi 24/7. The security-first defaults and encrypted secrets feel reassuring, and the 22+ provider integrations unlock flexible workflows. The only snag was sparse Pi-specific docs; ARM setup required a bit of tinkering.

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Recent Review Statistics

Sentiment analysis and trends from the last Last 30 days

5.0/5
2 reviews
Very Positive (2) New reviews
Trend: Steady Velocity: 0.1/day Engagement: 0%
Velocity utilization 14%
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Showing 1 - 2 of 2 reviews .

User avatar for William Anderson

William Anderson

5.0
Recommends

Edge-ready automation with sub-second boot on Pi

Used for week to month

What I liked

  • Sub-second boot powered by the Rust-native architecture.
  • Security-first defaults: sandbox controls and encrypted secrets.
  • 22+ provider integrations enable flexible, vendor-agnostic workflows.

What could be better

  • Pi-specific deployment documentation is sparse; ARM setup required manual tinkering.
  • No built-in monitoring dashboard; debugging relies on parsing logs.

I’m Kai, a Raspberry Pi tinkerer automating a small home lab. I needed edge automation that boots fast and stays lean. ZeroClaw’s Rust-native core delivers sub-second startup and a tiny runtime footprint, so agents run reliably on a Pi 24/7. The security-first defaults and encrypted secrets feel reassuring, and the 22+ provider integrations unlock flexible workflows. The only snag was sparse Pi-specific docs; ARM setup required a bit of tinkering.

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User avatar for Grace Walker

Grace Walker

5.0
Recommends

Security-first automation for cross-channel bots, with some UI gaps

Used for 1-3 months

What I liked

  • Security-first defaults with sandbox controls and encrypted secrets.
  • Vendor-agnostic workflows and 22+ provider integrations.
  • Multi-channel support across CLI, Telegram, Discord, and Slack.

What could be better

  • No centralized monitoring dashboard; relies on logs for health visibility.
  • Rust-based tooling introduces a learning curve for a JS/TS team.

Hi, I’m Mina, a startup DevOps engineer tasked with automating onboarding and cross-channel bot workflows for Slack, Discord, and Telegram. We needed something secure and vendor-agnostic. ZeroClaw’s security-first defaults—sandbox controls and encrypted secrets—gave us confidence to move automation into production. The ability to orchestrate across 22+ providers and the multi-channel CLI/Slack/Discord/Telegram is a real time-saver. The main friction is the lack of a centralized monitoring dashboard; we end up parsing logs and stitching dashboards ourselves, and onboarding Rust adds a learning curve for our JS/TS-led team.

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Direct Comparison

See how ZeroClaw compares to its alternative:

ZeroClaw VS ClawDeploy

ZeroClaw: Features, Advantages & FAQs

Explore everything you need to know about ZeroClaw

Core Features
  • Rust-native architecture: High performance with minimal runtime footprint
  • Security-first defaults: Sandbox controls and encrypted secrets
  • 22+ provider integrations: Flexible, vendor-agnostic workflows
  • Multi-channel support: CLI, Telegram, Discord, Slack
  • Hybrid memory system: SQLite-based vector retrieval
  • Lightweight startup: Sub-second boot for fast deployment
Advantages
  • Low memory footprint: ~7.8 MB peak RSS
  • Fast startup: <0.38s cold, <10ms warm
  • Security-first defaults: sandboxing and encrypted secrets
  • 22+ provider integrations: flexible, vendor-agnostic
  • Rust-native: high performance
  • Runs on Raspberry Pi: edge-friendly
  • Multi-channel support: CLI, Telegram, Discord, Slack
Use Cases
  • Running 24/7 autonomous agents on Raspberry Pi
  • Automating cross-platform bot workflows (Telegram, Discord, Slack)
  • Local developer automation for code and system tasks
  • Long-running automation on constrained servers
  • Secure provider orchestration with memory management
  • Rapid prototyping of AI agent workflows

Frequently Asked Questions

What is ZeroClaw?

A lightweight, security-first autonomous AI agent framework built in Rust for high-efficiency automation.

Can ZeroClaw run on a Raspberry Pi?

Yes, it is designed for server-class hardware and low-power devices like Raspberry Pi.

Does ZeroClaw support local AI models?

Yes, it supports local model workflows like Ollama.

What autonomy modes are available?

Autonomy modes are mentioned but not detailed in the provided information; please refer to the official docs for specifics.

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