* feat(testing): add StubChannel test double for Channel trait Adds StubChannel to src/testing.rs alongside StubLlm. Supports message injection via mpsc sender, response/status capture, and configurable health check toggling. Includes handle methods for use after ownership transfer to ChannelManager. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat(testing): wire StubChannel into TestHarnessBuilder Add with_stub_channel() builder method that creates a StubChannel pre-registered in a ChannelManager. Tests can inject messages via the sender and verify routing through the manager. The channel field on TestHarness is Optional, defaulting to None for backward compat. Co-Authored-By: Claude Opus 4.6 <[email protected]> * test: gate external-service tests behind integration feature flag Replace silent try_connect() skip pattern with explicit feature gating. cargo test now runs only self-contained tests. cargo test --features integration runs tests requiring PostgreSQL. Co-Authored-By: Claude Opus 4.6 <[email protected]> * test(channels): add ChannelManager unit tests using StubChannel Cover add/start_all stream merging, respond routing, unknown channel errors, health_check_all with mixed health, empty-channels error path, and injection channel merging -- all via StubChannel test double. Co-Authored-By: Claude Opus 4.6 <[email protected]> * docs: document test tier separation (unit/integration/live) Co-Authored-By: Claude Opus 4.6 <[email protected]> * ci: add architecture boundary check script Grep-based checks for three architecture boundaries: - Direct database driver usage (tokio_postgres/libsql) outside src/db/ - .unwrap()/.expect() in production code (warning only) - Direct std::env::var reads outside config layer (warning only) The DB driver check is a hard violation; the other two are warnings for gradual cleanup. Run with: bash scripts/check-boundaries.sh Co-Authored-By: Claude Opus 4.6 <[email protected]> * test(search): add RRF edge case tests for empty inputs, limits, and config modes Co-Authored-By: Claude Opus 4.6 <[email protected]> * test(security): add regression tests for skill installer ZIP and SSRF protections Add 11 regression tests covering the security controls in skill_tools: ZIP extraction safety: - Valid SKILL.md extraction works correctly - Non-SKILL.md entries are ignored (returns error) - Path traversal entries (../../SKILL.md) do not match - Nested path entries (subdir/SKILL.md) do not match - Oversized entries (>1MB uncompressed) are rejected SSRF prevention: - Loopback addresses (127.0.0.1) are blocked - Private ranges (10.x, 172.16.x, 192.168.x) are blocked - Link-local addresses (169.254.x) are blocked - Public IPs (8.8.8.8, 1.1.1.1) are allowed - IPv4-mapped IPv6 unwrapping logic works correctly - Metadata endpoints and .internal/.local hostnames are blocked - Normal hostnames (github.com, clawhub.dev) are allowed Also documents a known gap: url::Url::host_str() returns bracketed IPv6 addresses that std::net::IpAddr cannot parse, so IPv4-mapped IPv6 URLs currently bypass IP-based checks in validate_fetch_url. Co-Authored-By: Claude Opus 4.6 <[email protected]> * refactor(testing): extract TestGatewayBuilder to eliminate gateway test duplication Both ws_gateway_integration.rs and openai_compat_integration.rs manually constructed GatewayState with 19+ fields. Extracted to a shared builder in src/channels/web/test_helpers.rs that provides sensible defaults and lets tests override only what they need. Co-Authored-By: Claude Opus 4.6 <[email protected]> * docs: add implementation plans for testing batches 1 and 2 Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix(security): close IPv6 SSRF bypass in validate_fetch_url validate_fetch_url used host_str() which returns bracketed IPv6 (e.g. "[::ffff:7f00:1]") that IpAddr::parse() cannot handle, silently skipping IP-based SSRF checks for all IPv6 URLs. Switch to url::Host enum matching to extract proper IpAddr values without string parsing. IPv4-mapped IPv6 addresses like ::ffff:127.0.0.1 are now correctly unwrapped and blocked. Co-Authored-By: Claude Opus 4.6 <[email protected]> * test(skills): add activation criteria limits enforcement tests Adds test_activation_criteria_enforce_limits to verify that enforce_limits() correctly trims excess patterns (>5), keywords (>20), and tags (>10), and filters out short keywords/tags (<3 chars). Co-Authored-By: Claude Opus 4.6 <[email protected]> * test(wasm): add security regression tests for WASM tool loader Add 6 tests covering: tool name path separator rejection, empty name rejection, nonexistent file handling, invalid WASM bytes rejection, dotfile discovery behavior, and subdirectory non-recursion. Co-Authored-By: Claude Opus 4.6 <[email protected]> * refactor: address PR review feedback - Remove plan files from repo (ilblackdragon review) - Replace CLAUDE.md test tier rules with pointer to check-boundaries.sh - Add Check 4 to check-boundaries.sh: enforces integration tests are gated behind the 'integration' feature flag Co-Authored-By: Claude Opus 4.6 <[email protected]> * ci: add try_connect silent-skip pattern check to check-boundaries.sh Check 5 catches try_connect() and similar silent-skip patterns in integration tests. Tests should use feature gates to fail loudly when prerequisites are missing, not silently return. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix(security): harden skill fetch SSRF checks * fix(scripts): use bash arrays in check-boundaries.sh tier violation check Refactor Check 4 in check-boundaries.sh to use bash arrays and printf instead of string concatenation with echo -e. This is more robust with special characters in filenames and avoids portability concerns with echo -e. [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> --------- 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
Install via Homebrew (macOS/Linux)
brew install ironclaw
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.
