zeroclaw-labs/zeroclawPublic

Fast, small, and fully autonomous AI personal assistant infrastructure, any OS, any platform β€” deploy anywhere, swap anything πŸ¦€

AI summary: A minimal, zero-dependency framework for building lightweight autonomous AI agents.

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RustApache-2.0Created Feb 13, 2026Last push 1d agoLatest release v0.8.3+84 stars this week+84 this month

Star history

since Feb 15, 2026
010K20K30KFeb 2026Apr 2026Jun 2026Aug 2026
32.5K stars as of Aug 6, 2026, tracked back to Feb 15, 2026. Historical curve reconstructed from public GitHub event archives, calibrated to the current total.

Signals and awards

derived from tracked data
  • Widely adopted

    32,523 stars

  • Actively maintained

    Pushed within 48 hours

  • Community-driven

    ~398 contributors

  • Well documented

    High community health score

  • Permissive license

    Apache-2.0

  • Continuous integration

    Automated checks passing

  • Repeat trending

    13 trending appearances

What zeroclaw does

ZeroClaw is a highly minimalist, zero-dependency framework designed for developers to build lightweight autonomous AI agents quickly. It strips away the complexity often found in large agent frameworks, focusing on providing a clean, core loop for observation, reasoning, and action. By relying solely on standard library features, it ensures maximum portability and ease of installation across different environments. The framework provides basic abstractions for LLM communication, tool execution, and state management, allowing developers to implement custom agent logic without being bogged down by heavy abstractions or external dependencies. It's built for speed and simplicity.

ZeroClaw is for developers who prefer lean, minimalist tools over heavy frameworks. It is ideal for those who want deep control over their agent's execution loop and need to deploy in environments where dependencies are a liability.

  • Zero dependencies: Operates entirely on standard libraries, eliminating dependency hell and ensuring high portability.
  • Minimalist architecture: Focuses on a simple, transparent execution loop (observe, reason, act) without convoluted abstractions.
  • Lightweight footprint: Consumes minimal disk space and memory, making it ideal for edge computing or constrained environments.
  • Custom tool integration: Provides a straightforward interface for developers to plug in their own custom functions as tools for the agent.
  • Agnostic LLM support: Designed to easily swap out underlying language models by implementing simple interface wrappers.
  • Fast startup: Extremely quick initialization times due to the lack of heavy external packages.

Where teams use it

Edge AI deployments

Developers use it to run lightweight agents on IoT devices or edge servers where installing heavy frameworks is impractical.

Rapid agent prototyping

Engineers use it to quickly sketch out and test new agent behaviors without setting up complex project environments.

Educational purposes

Students and educators use the minimal codebase to understand the fundamental concepts of autonomous agent loops.

Serverless functions

Platform teams deploy agents within serverless architectures where minimizing cold start times is a priority.

Getting started: git clone https://github.com/zeroclaw-labs/zeroclaw.git && cd zeroclaw

README

master branch

ZeroClaw

πŸ¦€ ZeroClaw β€” Personal AI Assistant

You own the agent. You own the data. You own the machine it runs on.

Build Status Latest release License Rust Edition 2024 Contributors Discord

Docs Β· Philosophy Β· Quick start Β· Architecture Β· Discord


ZeroClaw is an agent runtime β€” a single Rust binary you configure and run. It talks to LLM providers (Anthropic, OpenAI, Ollama, and ~20 others), reaches the world through 30+ channels (Discord, Telegram, Matrix, email, voice, webhooks, your own CLI), and acts through tools (shell, browser, HTTP, hardware, custom MCP servers). Everything runs on your machine, with your keys, in your workspace.

Read the Philosophy for the four opinions that shape it.

Install

curl -fsSL https://raw.githubusercontent.com/zeroclaw-labs/zeroclaw/master/install.sh | bash

Or clone and run:

git clone https://github.com/zeroclaw-labs/zeroclaw.git
cd zeroclaw
./install.sh

The piped installer uses a prebuilt binary when one is available and falls back to a source build otherwise. It skips interactive setup and prints zeroclaw quickstart as the next step.

When the platform maps to a supported prebuilt target, running ./install.sh from a clone in an interactive terminal offers prebuilt or source installation; other platforms build from source. The source path also lets you select apps and optional features. For an unconfigured install, the installer then offers CLI or browser-based Quickstart. Use --skip-quickstart when you only want to install.

Working on the docs? The translated documentation catalogues live in a git submodule (docs/book/po). The Rust build does not need it, but building or syncing the docs does. Clone with it, or add it to an existing clone:

git clone --recurse-submodules https://github.com/zeroclaw-labs/zeroclaw.git
git submodule update --init docs/book/po   # existing clone

Flags:

./install.sh --prebuilt              # always prebuilt; don't ask
./install.sh --source                # always build from source
./install.sh --preset minimal        # kernel-only source preset (~6.6 MB)
./install.sh --minimal               # alias for --preset minimal
./install.sh --source --features agent-runtime,channel-discord  # custom feature set
./install.sh --apps zerocode         # select apps to install; use "none" to skip all
./install.sh --without-tui           # skip building zerocode
./install.sh --with-gateway          # force gateway support on
./install.sh --without-gateway       # force gateway support off
./install.sh --prefix /tmp/zc-test   # install under a custom prefix
./install.sh --dry-run --prebuilt    # preview without installing
./install.sh --skip-quickstart       # install only, run `zeroclaw quickstart` later
./install.sh --list-features         # print available feature flags
./install.sh --uninstall             # remove ZeroClaw

Platform-specific notes: Linux Β· macOS Β· Windows Β· FreeBSD Β· NixOS Β· Docker

Quick start

zeroclaw quickstart               # one-shot setup: pick a provider, write a working config
zeroclaw agent -a <alias>         # interactive chat using the [agents.<alias>] entry
zeroclaw service install          # register as systemd/launchctl/Windows Service
zeroclaw service start            # run it always-on in the background

Full walkthrough: Quick start β€” or skip the safety gates with YOLO mode for dev boxes.

What ZeroClaw does

  • Multi-channel β€” one agent answering you across every channel you configure. Inbound messages from Discord, Telegram, Matrix, email, webhooks, CLI β€” all delivered to the same agent loop.
  • Provider-agnostic β€” model providers are pluggable. Configure Anthropic, OpenAI, local Ollama, or any OpenAI-compatible endpoint. Fallback chains and routing keep the agent running when a provider flakes.
  • Security-first, with escape hatches β€” default autonomy is supervised: medium-risk ops require approval, high-risk blocked. Workspace boundaries, command policy, OS-level sandboxes (Landlock / Bubblewrap / Seatbelt / Docker), and cryptographic tool receipts on every action. YOLO mode exists for trusted dev environments.
  • Hardware-capable β€” GPIO / I2C / SPI / USB on Raspberry Pi, STM32, Arduino, and ESP32 via the Peripheral trait. See Hardware.
  • Gateway + dashboard β€” HTTP / WebSocket gateway for clients, with a web dashboard for chat, memory browsing, config editing, cron management, and tool inspection.
  • SOP engine β€” event-triggered Standard Operating Procedures (MQTT / webhook / cron / peripheral) with approval gates and resumable runs.
  • ACP β€” IDE / editor integration via Agent Client Protocol (JSON-RPC 2.0 over stdio).

Configuration

One TOML file at ~/.zeroclaw/config.toml. Pointers:

A V3 config has at minimum four section headers (<type>.<alias> shaped) β€” a provider entry, an agent that references it, and a risk profile the agent gates against. See Provider Configuration β†’ Minimal working example for the canonical four-section form with inline type/alias commentary.

For standard OpenAI Codex subscription auth, Quickstart can write the provider entry for you:

zeroclaw auth login --model-provider openai-codex --import ~/.codex/auth.json  # if already signed in with Codex CLI
zeroclaw quickstart --model-provider openai-codex --model gpt-5.4

The provider entry uses the canonical OpenAI shape; the alias below is an example:

[providers.models.openai.coding]   # type = openai; alias = coding (you choose)
model = "gpt-5.4"
wire_api = "responses"
requires_openai_auth = true

…and point your agent at it with model_provider = "openai.<alias>".

Notes:

  • Normal OpenAI Codex subscription auth uses stored auth profiles, not an api_key on the provider entry.
  • Claude Max setup-token auth stays on the canonical Anthropic slot: run claude setup-token, choose setup_token in Quickstart, and paste the generated token into the API key/token prompt.
  • Only set api_key / uri on [providers.models.openai.<alias>] when intentionally targeting a custom OpenAI-compatible gateway or endpoint.
  • If you see provider streaming failed, falling back to non-streaming chat, ZeroClaw retries the same request in non-streaming mode. Check zeroclaw auth status before changing provider config.

Architecture

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚            channels       gateway        ACP                 β”‚
β”‚          (30+ adapters)   (REST/WS)    (JSON-RPC)            β”‚
β”‚                        ↓                                     β”‚
β”‚                   ZeroClaw runtime                           β”‚
β”‚         β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”                   β”‚
β”‚         β”‚  agent   β”‚ security β”‚   SOP    β”‚                   β”‚
β”‚         β”‚   loop   β”‚  policy  β”‚  engine  β”‚                   β”‚
β”‚         β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜                   β”‚
β”‚              ↓          ↓           ↓                        β”‚
β”‚          providers    tools      memory                      β”‚
β”‚         (Anthropic,  (shell,    (SQLite,                     β”‚
β”‚          OpenAI,     browser,    embeddings)                 β”‚
β”‚          Ollama,     HTTP,                                   β”‚
β”‚          ~20 more)   hardware)                               β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

Full detail with Mermaid diagrams: Architecture overview Β· Request lifecycle Β· Crates.

Contributing

Start with how to contribute. Larger changes go through the RFC process. Real-time chat lives on Discord (the best way to reach the team); durable work tracking is on GitHub issues.

Good places to start:

  • New channel β†’ crates/zeroclaw-channels/
  • New provider β†’ crates/zeroclaw-providers/
  • New tool β†’ crates/zeroclaw-tools/
  • Hardware support β†’ crates/zeroclaw-hardware/
  • Docs β†’ docs/book/src/

AI-assisted PRs are welcome; see Contribution culture (RFC #5615) for the co-authorship norms.

Security

Do not file public issues for security vulnerabilities. Email security@zeroclaw.dev. See SECURITY.md for the full policy.

Official repository & impersonation notice

This is the only official ZeroClaw repository:

https://github.com/zeroclaw-labs/zeroclaw

Any other repository, organization, domain, or package claiming to be "ZeroClaw" or implying affiliation with ZeroClaw Labs is unauthorized and not affiliated with this project.

License

Dual-licensed: MIT OR Apache 2.0. You may choose either. Contributors automatically grant rights under both β€” see CLA. The ZeroClaw name and logo are trademarks of ZeroClaw Labs.

Credits

Built and maintained by the community β€” original creator @theonlyhennygod; project lead @JordanTheJet. Full maintainer list in Communication.

Thanks to the communities that incubated early work: Harvard University, MIT, Sundai Club, and every contributor pushing it forward.

Star History Chart

ZeroClaw contributors

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Recent activity

commits and pull requests

Recent open issues

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Discussions

all 123

Releases and announcements

151 total
  1. v0.8.3v0.8.3Jul 16, 20268K downloads

    # ZeroClaw v0.8.3 This release is a large consolidation cycle spanning **379 commits** from **56 contributors**, focused on the new Standard Operating Procedure (SOP) engine, a WebAssembly plugin host, a Git forge channel, and a broad round of runtime, provider, and security hardening. If you run ZeroClaw agents in production, the headline changes are the procedural-memory/SOP substrate, tighter context-budget accounting, and a wave of SSRF and secret-leak fixes. Desktop and quickstart flows also get meaningful polish. ## Highlights - **SOP (Standard Operating Procedure) engine** lands end to end β€” a daemon maintenance tick, typed step contracts, live step execution, cron/filesystem/calendar triggers, and an out-of-band approval plane. - **WebAssembly plugin host** (wasmtime component model) for tools, channels, and memory, with per-call execution limits, signature-policy enforcement, and registry search/install by name. - **Git forge channel** with GitHub and Gitea/Forgejo providers, plus a unified `git_forge` tool and SOP ingress. - **Self-contained desktop app** returns β€” the kernel now ships as a Tauri sidecar for a Quickstart-first companion experience. - **Cost & usage acc

  2. v0.8.2v0.8.2Jun 26, 202611.2K downloads

    # ZeroClaw v0.8.2 ZeroClaw v0.8.2 opens up two new front doors: **A2A agent discovery** for agent-to-agent interop and a richer **skills** story (user-configured extra registries, typed slash-command options). Underneath, the release sharpens ZeroClaw's security posture across plugins, channels, and the SOP runtime, lands a durable run/task control plane, and broadens channel surfaces (Discord interaction components, Slack attachments, WhatsApp group allowlists). It spans 152 commits from 31 contributors. Much of this is invisible at the surface and shows up as fewer leaks, fewer duplicate launches, and turns that behave the same on every transport. ## Highlights - **A2A agent discovery** (#7763): agents can describe and discover one another over the gateway, opening up agent-to-agent interop. - **Richer skills story**: user-configured extra skill registries via `registry:<name>/<skill>` (#7827) and typed slash-command options in SKILL.md frontmatter (#8021). - Installation now adds `zeroclaw` to PATH automatically with a `--no-modify-path` opt-out (#8038). - Untrusted inbound content is now framed and sanitized before a model ever sees it, both through the new universal ingress

  3. v0.8.1v0.8.1Jun 19, 20264.2K downloads

    # ZeroClaw v0.8.1 ZeroClaw v0.8.1 is the first patch release on the v0.8.x line, focused on stabilizing the multi-agent runtime, channels, and provider stack that landed in v0.8.0. It spans 207 commits from 45 contributors since v0.8.0 β€” heavy on bug fixes (123), with substantial new features (46) including a delete/rename-with-cascade configuration story, Discord slash commands derived from installed skills, an OpenAI-compatible cached-input pricing path, and a Phase 0 agent eval harness. If you upgraded to v0.8.0 and hit rough edges with channel routing, cron delivery, provider replay, or config save round-trips, this is the release that picks those up. ## Highlights - **Cascading config edits**: `delete_with_cascade` and `rename_with_cascade` now ripple through agents, providers, channels, model providers, and skill bundles instead of leaving dangling references (#7837, #7838, #7839, #7830, #7840, #7841, #7842, #7785). - **Discord skill-driven slash commands**: dynamic slash commands generated from installed skills, with typed options, chunked interaction followups, edit/delete/bulk-delete archive sync, and configurable reaction recording (#7490, #7489, #7525, #7526, #7844).

  4. v0.8.0v0.8.0Jun 12, 20265K downloads

    # ZeroClaw v0.8.0 ZeroClaw v0.8.0 is the big one. One daemon now runs many named agents, each with its own workspace, memory, model provider, security policy, channels, and personality, coordinated by a rewritten configuration schema that migrates your existing setup automatically. The release spans 439 commits (not including the squashes) from over 100 contributors since v0.7.5, and also introduces the zerocode terminal UI, a unified logging and attribution pipeline, and a hardened security posture across channels, tools, and the gateway. With the big sweeping code changes behind us, expect the v0.8.x series to ship at a more regular pace from here. ## Highlights - **[Multi-agent runtime](https://docs.zeroclawlabs.ai/master/en/agents/overview.html)**: run any number of named agents from one daemon, each with isolated workspace, memory, skills, model provider, and risk profile. Channels, cron jobs, webhooks, and ACP sessions all dispatch to a specific agent. - **Schema V3 with automatic migration**: existing configs migrate in place on first load. Provider entries support multiple named aliases per provider, and a single malformed entry no longer wipes its neighbors.

  5. v0.8.0-beta-2v0.8.0-beta-2Jun 2, 2026pre-release

    # ZeroClaw v0.8.0-beta-2 This is the second beta of the v0.8.0 line, and the largest release since v0.7.5. Its headline is **zerocode** β€” a brand-new, full-featured terminal UI for running and operating your agents without leaving the terminal. Around it, this release ships the multi-agent runtime and schema V3, a rebuilt Quickstart onboarding flow that works identically across the CLI, zerocode, and the web dashboard, and a deny-with-edit approval mode that lets you rewrite a tool result inline. Hundreds of fixes harden the credential boundary, token accounting, sandboxing, and channel delivery. Because this beta consolidates two milestones, the **What's New** section is framed twice: everything **since v0.7.5** (the last stable release) and the subset that is new **since v0.8.0-beta-1**. Contributor credits below cover the v0.8.0-beta-1 β†’ beta-2 window. ## Meet zerocode **zerocode is a complete terminal interface for ZeroClaw** β€” a standalone binary that connects to a daemon and gives you a five-pane workspace for everything from chatting with an agent to editing config to reading live logs. It speaks to the daemon over a filesystem-permission-gated local socket (Unix domain

When work happens

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