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thClaws 🦞

The open-source agent harness, in your terminal and on your desktop.

A native-Rust AI agent workspace that codes, automates, remembers, and coordinates — running on your own machine. One binary. Sovereign by design. Built by a small team hacking in public.

Website · Download · Manual · Discussions · Contribute · Supporters

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See it work

Three tabs, one binary — captured from a live thClaws session looking at its own source.

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<a href="docs/img/screens-carousel.webp"><img src="docs/img/screens-carousel.webp" alt="thClaws Desktop GUI — cycling through Files, Terminal, and Chat tabs" width="900" /></a>

Files (codemirror + tiptap) · Terminal (REPL · slash commands · ANSI tool output) · Chat (markdown render · tool indicators)

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New in v0.61.0

🎨 Media Studio — generate images & video, built in

A point-and-click shell for the new media tools — Text → Image, Image Edit, Text → Video, and Image → Video — across Google Gemini, OpenAI gpt-image-2, Alibaba Qwen, Veo, and DashScope HappyHorse. Pick a provider/model, set the resolution, hit Generate; finished media lands in a live gallery you can click to reuse as the source for the next run. The same tools (TextToImage / ImageToImage / TextToVideo / ImageToVideo / MediaJobStatus) are callable by the agent from chat too — async video included.

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<a href="docs/img/media-studio.webp"><img src="docs/img/media-studio.webp" alt="thClaws Media Studio — text-to-image with a live gallery of generated media" width="860" /></a>

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🧠 OpenRouter Fusion — many models, one answer

openrouter/fusion fans your question out to a panel of up to 8 models in parallel (each can search the web), then a judge weighs the answers and synthesizes the consensus — multi-model deliberation packaged as a single model id. The new openrouter/fusion+ makes it fully configurable right from the model picker: choose the panel, the judge, the per-model tool-call budget, temperature, reasoning effort, and tool-choice. A practical stand-in when the model you'd reach for isn't available on the platform.

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<a href="docs/img/fusion-config.webp"><img src="docs/img/fusion-config.webp" alt="thClaws — configuring the OpenRouter Fusion panel, judge, and limits" width="860" /></a>

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Docs: media tools · Media Studio · Fusion setup

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Hacking in public

thClaws started in April 2026. As of this writing the project has shipped 20+ releases, drawn 27 contributors, and lands roughly a release a week. It's developed by a small team at ThaiGPT Co., Ltd. — and a meaningful chunk of the codebase comes from outside contributors who heard about it and stayed.

We're aiming for v1.0 = "the multi-platform agent": the same agent loop on your desktop, in your terminal, and bridged into Telegram, Discord, Slack, WhatsApp, Facebook Messenger, and LINE. Telegram, LINE, and Messenger are already shipping. Discord, Slack, and WhatsApp are next — and they're great places to plug in. (Contribute →)

Built in Thailand. Meant for the world.

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Four surfaces, one engine

The same Agent loop, Session, and ToolRegistry back every UX:

• Desktop GUI (thclaws) — native window with Terminal, Chat, Files, and optional Team tabs.
• CLI REPL (thclaws --cli) — interactive terminal prompt for SSH, headless servers, or zero-GUI workflows.
• Non-interactive mode (thclaws -p "prompt") — single turn, exits. Pipe-friendly for scripts and CI. -v for token usage on stderr.
• Webapp (thclaws --serve --port 7878) — same engine over WebSocket/HTTP. SSH-tunnel for "Claude Code anywhere" without opening a port.

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Features

Everything's in one binary. Pick the surface that fits the task, swap the provider, drop in a skill, glue in an MCP server, then walk away while a scheduled job or background agent finishes the work.

• Multi-provider — Anthropic (native + Claude Agent SDK via Claude Code auth), OpenAI (Chat Completions + Responses/Codex), Google Gemini & Gemma, Alibaba DashScope (Qwen), DeepSeek, Z.ai (GLM Coding Plan), NVIDIA NIM, NSTDA Thai LLM (OpenThaiGPT, Typhoon, Pathumma, THaLLE), OpenRouter, Agentic Press, Azure AI Foundry, Ollama (local + Anthropic-compatible + Cloud), LMStudio, plus a generic OpenAI-compatible slot (oai/*) for LiteLLM / Portkey / Helicone / vLLM / internal proxies. Switch mid-session with /model or /provider.
• Open standards, not a walled garden — Model Context Protocol for tools, AGENTS.md for project instructions (adopted by Google, OpenAI, Factory, Sourcegraph, Cursor), SKILL.md with YAML frontmatter for packaged workflows. Configuration portable between thClaws, other compliant agents, and whatever comes next.
• Skills, plugins, MCP servers, hooks — extend the agent without touching Rust. Skills are folders with a SKILL.md. Plugins bundle skills + commands + agent definitions + MCP servers under one manifest. MCP brings in third-party tools (GitHub, filesystems, browsers, Slack…) over stdio or HTTP-Streamable with OAuth 2.1+PKCE. Hooks run shell scripts on lifecycle events (pre_tool_use, permission_denied, session_start, …).
• Three tiers of agent orchestration — model-driven subagents (Task tool, blocking, up to 3 levels deep); user-driven concurrent side-channels (/agent <name> <prompt>, parallel to main, own cancel token); multi-process Agent Teams with shared mailbox, task queue, tmux panes, and optional git worktrees.
• Knowledge bases (KMS) + /dream — per-project and per-user wikis under .thclaws/kms/<name>/pages/, indexed by a one-line index.md. Grep + read (no embeddings), following Andrej Karpathy's LLM-wiki pattern. /dream mines your recent sessions in the background and writes a dated audit-trail page to review with git diff.
• Plan mode — EnterPlanMode proposes an ordered list of steps you Approve / Cancel / Skip / Retry. Same UX in GUI sidebar and /plan slash command.
• Schedule recurring jobs — /schedule add runs an agent on cron, fixed intervals, or filesystem changes (watchWorkspace). In-process scheduler for ephemeral, native daemon (launchd / systemd-user) for survives-reboot.
• Long-running loops & overnight builds — /loop for fixed-interval iteration, /goal for audit-driven completion. /goal --auto is a Ralph-style overnight builder that keeps going until the goal is satisfied or you wake up.
• Document workflow — native PDF, DOCX, PPTX, XLSX read + edit + create tools, plus image rendering. Ingest a 50-page PDF, summarize into KMS, produce a follow-up deck — one conversation.
• Memory & project instructions — AGENTS.md (or CLAUDE.md) walked up from cwd and injected into the system prompt. Persistent memory store classified as user / feedback / project / reference, stored as markdown you can read, edit, or commit.
• Settings as one file — .thclaws/settings.json (project) or ~/.config/thclaws/settings.json (user). API keys go in the OS keychain by default (macOS Keychain / Windows Credential Manager / Linux Secret Service) with .env fallback for CI.
• Session resume — thclaws --resume last or --resume <id>. Sessions live as JSONL under .thclaws/sessions/ — git-friendly, grep-friendly, never opaque.
• Safety first — filesystem sandbox scoped to working directory. Destructive shell commands flagged. You approve every mutating tool call unless you've opted into auto-approve. Permission requests label which agent is asking when multiple are running.
• Offline-capable — Ollama (native + Anthropic-compatible) lets you run entirely against a local model. No cloud round-trip, no API key.
• Deploy what you build — ship landing pages, web apps, APIs, and AI agents through Agentic Press Hosting (partnered with SIS Cloud Service and Artech.Cloud) — or any host you prefer. Deploy flow ships as a plugin (/plugin install …-deploy), so hosts are swappable. The client never locks you in.
• Shell escape — prefix any REPL line with ! to run a shell command directly. No tokens, no approval prompt, no agent round-trip (! git status, ! ls).

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Contribute

We'd love your help. thClaws is built in the open by a small team and ~25 contributors so far. Reviews are typically fast, the codebase is approachable, and there's plenty of room to make a real dent.

Quick start for contributors

git clone https://github.com/thClaws/thClaws.git
cd thClaws

# One-shot: build frontend, then cargo build --features gui
./scripts/build.sh           # macOS / Linux
./scripts/build.ps1          # Windows PowerShell

# Verification suite (cargo fmt --check, clippy, tsc, cargo test)
./scripts/build.sh --check

# Run
cargo run --features gui              # GUI
cargo run -- --cli                    # CLI REPL
cargo run -- -p "explain crates/core" # one-shot

Prerequisites: Rust 1.85+, Node.js 20+, pnpm 9+. The helper enforces frontend-before-cargo order (the GUI build embeds frontend/dist/index.html at compile time via include_str!). See CONTRIBUTING.md for the full PR workflow.

Where we need help right now

If you want to land something impactful, these are the places we'd most love a hand:

• 🚀 Discord adapter — bridge the agent into a Discord guild (same shape as our shipping Telegram + Messenger adapters in crates/core/src/messenger/ and friends).
• 🚀 Slack adapter — same idea, Slack-side.
• 🚀 WhatsApp adapter — round out the v1.0 multi-platform thesis.
• 🪟 Windows ARM polish — installer, GUI smoke-test on Surface / Snapdragon X.
• 🧠 KMS embeddings (opt-in) — current KMS is grep + read; an optional embeddings layer alongside (not replacing) would be welcome.
• 🌏 i18n & translations — manual chapters and UI strings are EN/TH today; we'd love help with more locales.
• 🧩 Skills, plugins, MCP servers — no Rust needed. Build one, ship it on GitHub, list it on the marketplace. (See Skills documentation.)
• 📝 Docs, examples, walkthroughs — typo fixes welcome, case studies even more welcome.

Browse good first issues or help wanted to start. If you want to land