* feat(routines): add approval context for autonomous job execution Routines and background jobs were unable to use any tools that required approval (file ops, shell, message, http), making them effectively useless. This adds an ApprovalContext system that lets autonomous jobs pre-authorize tools at dispatch time. - Add ApprovalContext enum with Autonomous variant that auto-approves UnlessAutoApproved tools and optionally pre-authorizes Always tools - Add tool_permissions field to RoutineAction::FullJob for pre-authorizing Always-gated tools (e.g. destructive shell, cross-channel messaging) - Add Scheduler::dispatch_job_with_context() to thread approval context through to workers - Set message tool default channel/target from routine NotifyConfig so routines can send results without cross-channel approval - Fix Completed→Completed state transition error in worker (plan marks job completed, then direct loop or outer run() tries again) Co-Authored-By: Claude Opus 4.6 <[email protected]> * test(routines): add E2E trace for routine news digest workflow Add a 3-turn trace fixture and test that exercises: - Turn 1: routine_create with full_job mode and tool_permissions - Turn 2: Simulated digest workflow with echo + memory_write - Turn 3: Verification via memory_search [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix(test): wire RoutineEngine into test rig for routine_create E2E - Add `with_routines()` to TestRigBuilder that passes a RoutineConfig to Agent::new, enabling routine tool registration during agent startup - Add Turn 2 (routine_list) to the trace to verify routine persistence in the database after routine_create - Fix formatting issues flagged by CI (cargo fmt) [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * refactor(scheduler): deduplicate dispatch_job and dispatch_job_with_context Extract shared logic into private `dispatch_job_inner` to prevent divergence when dispatch behavior changes in the future. [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat(routines): add routine_fire tool and real E2E routine execution test - Add `routine_fire` tool that calls `RoutineEngine::fire_manual` to trigger a routine on demand. Registered alongside the other 5 routine tools (now 6 total). - Rewrite the routine_news_digest E2E trace to exercise the full execution stack end-to-end: 1. routine_create (manual trigger, full_job, tool_permissions: [message]) 2. routine_fire → RoutineEngine → Scheduler::dispatch_job_with_context → autonomous Worker consuming TraceLlm steps 3. Worker calls echo → memory_write → message (broadcast to test channel) 4. Test verifies the message broadcast arrived, proving ApprovalContext correctly allowed the Always-approval message tool - Register message tools in TestRig so routines can send messages to the test channel via channel_manager.broadcast(). [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat(routines): wire HttpInterceptor through scheduler for routine worker http calls Propagate http_interceptor from AgentDeps → Scheduler → WorkerDeps → JobContext so that routine workers (and any scheduler-dispatched workers) can use the ReplayingHttpInterceptor for mock HTTP responses during tests. Changes: - Add http_interceptor field to Scheduler and WorkerDeps - Set job_ctx.http_interceptor in Worker before tool execution - Add with_http_exchanges() builder method to TestRigBuilder - Replace echo tool with http tool in routine_news_digest trace - Test now exercises real http tool with mock response → memory_write → message Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address review comments from Copilot on PR #577 - Extract `ApprovalContext::is_blocked_or_default()` helper to deduplicate approval check logic in worker.rs and scheduler.rs - Extract `parse_tool_permissions()` helper to deduplicate JSON array parsing in routine.rs and builtin/routine.rs - Fix test name: `test_mark_completed_twice_does_not_error` → `test_mark_completed_twice_returns_error` (matches actual behavior) - Fix ApprovalContext doc comment to clarify it only models autonomous mode - Fix flaky index-based assertion in routine_news_digest test — now uses content-based search instead of fixed position - Fix stale comment: echo → http in routine test header - Add TODO for subtask approval context propagation (latent, not in active code paths) - Add TODO for global message tool context race in routine_engine Co-Authored-By: Claude Opus 4.6 <[email protected]> * style: fix formatting in is_blocked_or_default test Co-Authored-By: Claude Opus 4.6 <[email protected]> * refactor(test_rig): destructure self in build() to avoid partial-move fragility Destructure TestRigBuilder at the top of build() instead of accessing self.* fields after moving self.http_exchanges. While the prior code compiled (remaining fields are Copy), it was fragile and would break if any non-Copy field were added. Co-Authored-By: Claude Opus 4.6 <[email protected]> * docs: clarify that routine_fire bypasses cooldown Manual fires are explicitly user-initiated and intentionally bypass cooldown checks (which only apply to automated cron/event triggers). Updated tool description and fire_manual docstring to make this clear. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix(routines): fix message tool approval in routine context Two fixes for message tool failures in autonomous routine jobs: 1. MessageTool::requires_approval() now returns UnlessAutoApproved when the explicit channel param matches the default channel (was Always, causing "requires authentication" errors for routine workers). 2. routine_create tool now accepts notify_channel and notify_user params, wired into NotifyConfig. Without these, routines had channel: None, so set_message_tool_context was never called, causing "No channel specified" errors. Co-Authored-By: Claude Opus 4.6 <[email protected]> * refactor(message): remove approval requirement from message tool The message tool only sends to user-owned channels via ChannelManager::broadcast (TUI, Telegram, Slack, web gateway, etc.). It cannot reach arbitrary external services, so approval adds friction with no security benefit. This also eliminates the routine context errors entirely since approval is never checked. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address review comments — routine_fire approval + test rename - routine_fire now returns UnlessAutoApproved since firing a routine can dispatch a full_job with pre-authorized Always-gated tools - Rename test_approval_context_never_always_passes to test_approval_context_never_is_not_blocked for clarity Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address review nits — update stale docs and comments - Remove 'message' from tool_permissions example (no longer Always) - Reword message tool approval comment for accuracy - Clarify with_routines() docstring re: tool registration vs engine wiring 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.
