* feat: add Docker detection module with platform guidance Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: add Docker sandbox step to setup wizard Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: show Docker status in boot screen Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: check Docker availability at startup When SANDBOX_ENABLED=true, proactively detect whether Docker is installed and running before creating the ContainerJobManager. If Docker is unavailable, log a warning with platform-specific guidance and disable the sandbox for the session. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: enable sandbox by default, improve wizard explanation, document detection limits - SandboxConfig defaults to enabled=true (startup check disables gracefully if Docker is unavailable) - Wizard step explains why Docker matters: isolation for LLM-generated code vs running directly on the host - Document detection confidence per platform in detect.rs module docs: high on macOS/Linux, medium on Windows (named pipe edge cases) Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: cargo fmt + update test_builder_defaults for enabled-by-default Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: deduplicate wizard Docker status handling per review Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: fix skills system - enable by default, fix registry connectivity and install - Enable skills system by default (SKILLS_ENABLED no longer required) - Bypass Vercel TLS fingerprint blocking by pointing DEFAULT_REGISTRY_URL directly at the Convex backend (wry-manatee-359.convex.site) - Handle ZIP archives from ClawHub download API - the registry returns ZIP files containing SKILL.md, not raw text. Uses flate2 (existing dep) to extract SKILL.md from the archive. - Surface catalog search errors in the UI with a yellow warning banner instead of silently returning empty results - Handle both {"results":[...]} envelope and bare [...] array JSON formats from the search API - Add ClawHub links and metadata to search result cards (clickable skill names linking to clawhub.ai, relevance score, "updated X ago" recency) - Fix 3 pre-existing clippy warnings in tests/html_to_markdown.rs Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address security review feedback on ZIP extraction and SSRF - Cap download size to 10 MB before reading response body - Guard against ZIP bombs: cap uncompressed_size at 1 MB, wrap DeflateDecoder with .take() read limit - Use checked_add for ZIP header offset arithmetic to prevent overflow - Remove .unwrap() on try_into() -- use direct array construction - Handle IPv4-mapped IPv6 addresses (::ffff:192.168.x.x) in SSRF checks - Don't leak internal registry URLs in user-facing catalog_error messages - Fix non-ASCII panic in catalog response debug logging (use .get() instead of byte slicing) Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: add /skills command and enrich search results with ClawHub metadata - Parse /skills and /skills search <query> as SystemCommands in submission.rs - Add skill_catalog to AgentDeps and wire it through main.rs - Handle "skills" command in commands.rs: list installed skills and search ClawHub - Add /skills and /skills search <q> entries to /help output - Add SkillDetail, SkillStats, SkillOwner structs to catalog.rs - Add fetch_skill_detail() calling GET /api/v1/skills/{slug} on Convex backend - Add enrich_search_results() to fetch stars/downloads/owner for top 5 results in parallel - Fix SkillDetailResponse wrapper struct to match actual API shape: {"skill":{...},"owner":{...}} - Surface stars, downloads, owner in web UI skill search cards (app.js) - Surface enriched data in skills web handler and skill_search tool output Co-Authored-By: Claude Sonnet 4.6 <[email protected]> * fix: cargo fmt after merge conflict resolution Co-Authored-By: Claude Sonnet 4.6 <[email protected]> * fix: separate installed_skills dir for correct trust on restart, remove duplicate handlers Trust level bug: skills installed from ClawHub were written to user_dir (~/.ironclaw/skills/) which is discovered as Trusted on restart. Now installs go to ~/.ironclaw/installed_skills/ which is discovered as Installed, matching the documented skill directory layout. Changes: - SkillsConfig: add installed_dir field (SKILLS_INSTALLED_DIR env var, default ~/.ironclaw/installed_skills/) - SkillRegistry: add with_installed_dir() builder, installed_dir()/ install_target_dir() accessors, and discover installed_dir with SkillTrust::Installed in discover_all() - All install paths (web handler, skill tool) use install_target_dir() instead of user_dir() so new installs land in the correct directory - 3 new registry tests: test_installed_dir_uses_installed_trust, test_install_target_dir_prefers_installed_dir, test_user_dir_stays_trusted_with_installed_dir Duplicate handler cleanup: handlers/skills.rs was the canonical implementation but the handlers module was never compiled (not declared in web/mod.rs), so server.rs had its own duplicate inline definitions that the router used. Wire up the handlers module, delete the 260-line duplicate in server.rs, and have server.rs import skills handlers from handlers::skills. Fix pre-existing compile error in handlers/extensions.rs (missing needs_setup field). Add #[allow(dead_code)] on not-yet-migrated handler modules to suppress warnings. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: probe more Docker socket paths on macOS Docker Desktop 4.13+ (stabilised in 4.18) no longer creates the /var/run/docker.sock symlink by default. The API socket lives at ~/.docker/run/docker.sock, which bollard's connect_with_local_defaults() does not try. Add a fallback probe list covering the common macOS container runtimes: - ~/.docker/run/docker.sock — Docker Desktop 4.13+ - ~/.colima/default/docker.sock — Colima - ~/.rd/docker.sock — Rancher Desktop Remove the bogus ~/.docker/desktop/docker.sock path that was added previously; it is not an API socket on any known Docker installation. Fixes the false-negative "Docker is installed but not running" warning reported by Illia on macOS with Docker Desktop 4.18+. Co-Authored-By: Claude Sonnet 4.6 <[email protected]> * Harden Docker detection for rootless Linux and Windows fallback --------- Co-authored-by: Claude Opus 4.6 <[email protected]>
IronClaw
Your secure personal AI assistant, always on your side
Philosophy • Features • Installation • Configuration • Security • Architecture
Philosophy
IronClaw is built on a simple principle: your AI assistant should work for you, not against you.
In a world where AI systems are increasingly opaque about data handling and aligned with corporate interests, IronClaw takes a different approach:
- Your data stays yours - All information is stored locally, encrypted, and never leaves your control
- Transparency by design - Open source, auditable, no hidden telemetry or data harvesting
- Self-expanding capabilities - Build new tools on the fly without waiting for vendor updates
- Defense in depth - Multiple security layers protect against prompt injection and data exfiltration
IronClaw is the AI assistant you can actually trust with your personal and professional life.
Features
Security First
- WASM Sandbox - Untrusted tools run in isolated WebAssembly containers with capability-based permissions
- Credential Protection - Secrets are never exposed to tools; injected at the host boundary with leak detection
- Prompt Injection Defense - Pattern detection, content sanitization, and policy enforcement
- Endpoint Allowlisting - HTTP requests only to explicitly approved hosts and paths
Always Available
- Multi-channel - REPL, HTTP webhooks, WASM channels (Telegram, Slack), and web gateway
- Docker Sandbox - Isolated container execution with per-job tokens and orchestrator/worker pattern
- Web Gateway - Browser UI with real-time SSE/WebSocket streaming
- Routines - Cron schedules, event triggers, webhook handlers for background automation
- Heartbeat System - Proactive background execution for monitoring and maintenance tasks
- Parallel Jobs - Handle multiple requests concurrently with isolated contexts
- Self-repair - Automatic detection and recovery of stuck operations
Self-Expanding
- Dynamic Tool Building - Describe what you need, and IronClaw builds it as a WASM tool
- MCP Protocol - Connect to Model Context Protocol servers for additional capabilities
- Plugin Architecture - Drop in new WASM tools and channels without restarting
Persistent Memory
- Hybrid Search - Full-text + vector search using Reciprocal Rank Fusion
- Workspace Filesystem - Flexible path-based storage for notes, logs, and context
- Identity Files - Maintain consistent personality and preferences across sessions
Installation
Prerequisites
- Rust 1.85+
- PostgreSQL 15+ with pgvector extension
- NEAR AI account (authentication handled via setup wizard)
Download or Build
Visit Releases page to see the latest updates.
Install via Windows Installer (Windows)
Download the Windows Installer and run it.
Install via powershell script (Windows)
irm https://github.com/nearai/ironclaw/releases/latest/download/ironclaw-installer.ps1 | iex
Install via shell script (macOS, Linux, Windows/WSL)
curl --proto '=https' --tlsv1.2 -LsSf https://github.com/nearai/ironclaw/releases/latest/download/ironclaw-installer.sh | sh
Compile the source code (Cargo on Windows, Linux, macOS)
Install it with cargo, just make sure you have Rust installed on your computer.
# Clone the repository
git clone https://github.com/nearai/ironclaw.git
cd ironclaw
# Build
cargo build --release
# Run tests
cargo test
For full release (after modifying channel sources), run ./scripts/build-all.sh to rebuild channels first.
Database Setup
# Create database
createdb ironclaw
# Enable pgvector
psql ironclaw -c "CREATE EXTENSION IF NOT EXISTS vector;"
Configuration
Run the setup wizard to configure IronClaw:
ironclaw onboard
The wizard handles database connection, NEAR AI authentication (via browser OAuth),
and secrets encryption (using your system keychain). Settings are persisted in the
connected database; bootstrap variables (e.g. DATABASE_URL, LLM_BACKEND) are
written to ~/.ironclaw/.env so they are available before the database connects.
Alternative LLM Providers
IronClaw defaults to NEAR AI but works with any OpenAI-compatible endpoint. Popular options include OpenRouter (300+ models), Together AI, Fireworks AI, Ollama (local), and self-hosted servers like vLLM or LiteLLM.
Select "OpenAI-compatible" in the wizard, or set environment variables directly:
LLM_BACKEND=openai_compatible
LLM_BASE_URL=https://openrouter.ai/api/v1
LLM_API_KEY=sk-or-...
LLM_MODEL=anthropic/claude-sonnet-4
See docs/LLM_PROVIDERS.md for a full provider guide.
Security
IronClaw implements defense in depth to protect your data and prevent misuse.
WASM Sandbox
All untrusted tools run in isolated WebAssembly containers:
- Capability-based permissions - Explicit opt-in for HTTP, secrets, tool invocation
- Endpoint allowlisting - HTTP requests only to approved hosts/paths
- Credential injection - Secrets injected at host boundary, never exposed to WASM code
- Leak detection - Scans requests and responses for secret exfiltration attempts
- Rate limiting - Per-tool request limits to prevent abuse
- Resource limits - Memory, CPU, and execution time constraints
WASM ──► Allowlist ──► Leak Scan ──► Credential ──► Execute ──► Leak Scan ──► WASM
Validator (request) Injector Request (response)
Prompt Injection Defense
External content passes through multiple security layers:
- Pattern-based detection of injection attempts
- Content sanitization and escaping
- Policy rules with severity levels (Block/Warn/Review/Sanitize)
- Tool output wrapping for safe LLM context injection
Data Protection
- All data stored locally in your PostgreSQL database
- Secrets encrypted with AES-256-GCM
- No telemetry, analytics, or data sharing
- Full audit log of all tool executions
Architecture
┌────────────────────────────────────────────────────────────────┐
│ Channels │
│ ┌──────┐ ┌──────┐ ┌─────────────┐ ┌─────────────┐ │
│ │ REPL │ │ HTTP │ │WASM Channels│ │ Web Gateway │ │
│ └──┬───┘ └──┬───┘ └──────┬──────┘ │ (SSE + WS) │ │
│ │ │ │ └──────┬──────┘ │
│ └─────────┴──────────────┴────────────────┘ │
│ │ │
│ ┌─────────▼─────────┐ │
│ │ Agent Loop │ Intent routing │
│ └────┬──────────┬───┘ │
│ │ │ │
│ ┌──────────▼────┐ ┌──▼───────────────┐ │
│ │ Scheduler │ │ Routines Engine │ │
│ │(parallel jobs)│ │(cron, event, wh) │ │
│ └──────┬────────┘ └────────┬─────────┘ │
│ │ │ │
│ ┌─────────────┼────────────────────┘ │
│ │ │ │
│ ┌───▼─────┐ ┌────▼────────────────┐ │
│ │ Local │ │ Orchestrator │ │
│ │Workers │ │ ┌───────────────┐ │ │
│ │(in-proc)│ │ │ Docker Sandbox│ │ │
│ └───┬─────┘ │ │ Containers │ │ │
│ │ │ │ ┌───────────┐ │ │ │
│ │ │ │ │Worker / CC│ │ │ │
│ │ │ │ └───────────┘ │ │ │
│ │ │ └───────────────┘ │ │
│ │ └─────────┬───────────┘ │
│ └──────────────────┤ │
│ │ │
│ ┌───────────▼──────────┐ │
│ │ Tool Registry │ │
│ │ Built-in, MCP, WASM │ │
│ └──────────────────────┘ │
└────────────────────────────────────────────────────────────────┘
Core Components
| Component | Purpose |
|---|---|
| Agent Loop | Main message handling and job coordination |
| Router | Classifies user intent (command, query, task) |
| Scheduler | Manages parallel job execution with priorities |
| Worker | Executes jobs with LLM reasoning and tool calls |
| Orchestrator | Container lifecycle, LLM proxying, per-job auth |
| Web Gateway | Browser UI with chat, memory, jobs, logs, extensions, routines |
| Routines Engine | Scheduled (cron) and reactive (event, webhook) background tasks |
| Workspace | Persistent memory with hybrid search |
| Safety Layer | Prompt injection defense and content sanitization |
Usage
# First-time setup (configures database, auth, etc.)
ironclaw onboard
# Start interactive REPL
cargo run
# With debug logging
RUST_LOG=ironclaw=debug cargo run
Development
# Format code
cargo fmt
# Lint
cargo clippy --all --benches --tests --examples --all-features
# Run tests
createdb ironclaw_test
cargo test
# Run specific test
cargo test test_name
- Telegram channel: See docs/TELEGRAM_SETUP.md for setup and DM pairing.
- Changing channel sources: Run
./channels-src/telegram/build.shbeforecargo buildso the updated WASM is bundled.
OpenClaw Heritage
IronClaw is a Rust reimplementation inspired by OpenClaw. See FEATURE_PARITY.md for the complete tracking matrix.
Key differences:
- Rust vs TypeScript - Native performance, memory safety, single binary
- WASM sandbox vs Docker - Lightweight, capability-based security
- PostgreSQL vs SQLite - Production-ready persistence
- Security-first design - Multiple defense layers, credential protection
License
Licensed under either of:
- Apache License, Version 2.0 (LICENSE-APACHE)
- MIT License (LICENSE-MIT)
at your option.
