zeroclaw-labs/zeroclaw

Health v2 · maintenance only

Adoption not part of the score

32990 stars · 4976 forks observed · 2026-10-18

What it is AI-extracted, prompt v1, taxonomy v1, 2026-10-05, confidence 0.97

ZeroClaw is a lightweight, single‑binary personal AI assistant written in Rust. It runs on any OS, connects to dozens of LLM providers and communication channels, and executes tasks via built‑in tools.

Use cases

• Run a private AI assistant on my laptop that can answer questions and control local applications.
• Automate daily workflows through chat commands on Discord, Slack, or email.
• Integrate a self‑hosted LLM agent with home‑automation hardware like Raspberry Pi GPIO.
• Provide a secure, offline chatbot for internal company support without sending data to the cloud.
• Create custom tool extensions that the assistant can invoke via a CLI or webhooks.

When to choose

• You need full ownership of the agent, data, and execution environment.
• Low latency and minimal resource usage are critical.
• You prefer a single binary with no additional runtimes (no Node, Python, or JVM).
• You want to connect the assistant to many channels (Discord, Telegram, email, etc.) out‑of‑the‑box.

When to avoid

• You require a rich graphical UI or native mobile app.
• You prefer a managed SaaS solution with built‑in scaling and monitoring.
• Your environment cannot run Rust binaries or Docker containers.

Facets

application · maturity active

agent-framework cli chatbot llm-inference artificial-intelligence large-language-models chatbots cross-platform windows cli rust self-hosted privacy-focused low-latency open-source ai-agents linux macos docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="zeroclaw-labs/zeroclaw")