4e2dd76ae5 Fix skills system: enable by default, fix registry and install (#300)
* 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]>
2026-02-23 10:04:02 -08:00
2026-02-04 22:09:52 -08:00
2026-02-11 08:31:25 +00:00
2026-02-22 19:08:43 +00:00
2026-02-09 03:00:35 +00:00
2026-02-23 01:24:01 +00:00
2026-02-23 01:24:01 +00:00
2026-02-23 01:24:01 +00:00
2026-02-22 19:08:43 +00:00
2026-02-22 19:08:43 +00:00
2026-02-21 15:14:57 -07:00
2026-02-22 19:08:43 +00:00

IronClaw

IronClaw

Your secure personal AI assistant, always on your side

License: MIT OR Apache-2.0 Telegram: @ironclawAI Reddit: r/ironclawAI

PhilosophyFeaturesInstallationConfigurationSecurityArchitecture


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.sh before cargo build so 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:

at your option.

S
Description
IronClaw is OpenClaw inspired implementation in Rust focused on privacy and security
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