* refactor: break up agent_loop.rs into four focused modules Split the monolithic 2835-line agent_loop.rs into: - agent_loop.rs (722L): Agent struct, event loop, message dispatch - dispatcher.rs (635L): Agentic tool loop, tool execution, auth detection - commands.rs (484L): System commands, job handlers, heartbeat, summarize - thread_ops.rs (1059L): Thread lifecycle, approval, undo/redo, persistence Each module gets its own impl Agent block. Agent fields changed to pub(super) so sibling modules in the agent package can access them. All 16 existing tests pass in their new locations. Inspired by ZeroClaw's agent module split (agent.rs, loop_.rs, dispatcher.rs, prompt.rs, memory_loader.rs). Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: add cost caps and guardrails for autonomous agent spending Daily budget (MAX_COST_PER_DAY_CENTS) and hourly action rate (MAX_ACTIONS_PER_HOUR) limits prevent runaway agents from burning through API credits, especially in daemon/heartbeat modes. - CostGuard with pre-flight check and post-call recording - Sliding window for hourly rate, midnight-UTC daily reset - 80% threshold warning, atomic fast-path for exceeded budget - Wired into dispatcher loop (check before LLM call, record after) Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: add circuit breaker on LLM providers Wraps LlmProvider with a Closed/Open/HalfOpen state machine that trips after consecutive transient failures, preventing request storms against a degraded backend. Automatically probes for recovery. - CircuitBreakerProvider implements LlmProvider (drop-in wrapper) - Transient error classification (server, rate-limit, network, auth infra) - Client errors (wrong model, context overflow) don't trip the breaker - Configurable via CIRCUIT_BREAKER_THRESHOLD and CIRCUIT_BREAKER_RECOVERY_SECS - Composes with existing FailoverProvider (circuit breaker wraps failover) - 12 tests covering full state machine and error classification Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: add tunnel abstraction for remote access Trait-based tunnel system with lifecycle management (start/stop/health) for exposing the agent to the internet through external tunnel binaries. Five providers: - Cloudflare Tunnel (cloudflared, Zero Trust token auth) - Tailscale (serve for tailnet, funnel for public) - ngrok (with optional custom domain) - Custom (arbitrary command with {host}/{port} placeholders) - None (local-only, no external exposure) Config via TUNNEL_PROVIDER + provider-specific env vars. Extends existing TunnelConfig with optional managed provider alongside the static TUNNEL_URL path. Factory, shared process management, and 37 tests covering all providers and edge cases. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: add OS service management (launchd/systemd) Adds `ironclaw service {install,start,stop,status,uninstall}` for running the agent as a background daemon. macOS uses launchd plists under ~/Library/LaunchAgents, Linux uses systemd user units. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: add observability trait system with noop, log, and multi backends Introduces an Observer trait for recording agent lifecycle events and metrics, with pluggable backends. The noop backend compiles to zero overhead, log backend uses tracing, and multi fans out to multiple observers. Configured via OBSERVABILITY_BACKEND env var. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: add in-memory LLM response cache with TTL and LRU eviction CachedProvider wraps any LlmProvider and caches complete() responses keyed by SHA-256(model + messages). Tool-calling requests are never cached since they trigger side effects. Configurable via RESPONSE_CACHE_ENABLED, RESPONSE_CACHE_TTL_SECS, and RESPONSE_CACHE_MAX_ENTRIES env vars. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: add memory hygiene with cadence-gated daily log cleanup Adds workspace::hygiene module that automatically deletes daily log documents older than a configurable retention period (default 30 days). Runs on a 12-hour cadence tracked via a local state file to avoid redundant passes. Best-effort design: failures are logged, never fatal. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: add doctor diagnostics command for active health probing Probes external dependencies (Docker, cloudflared, ngrok, tailscale), validates NEAR AI session, checks database connectivity, and verifies workspace directory. Complements the passive `status` command. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: add structured TOML config file support Adds ~/.ironclaw/config.toml as a configuration layer between env vars and database settings. Priority: env var > TOML file > DB > defaults. - `ironclaw config init` generates a commented config.toml from current settings - `ironclaw --config path/to/config.toml` loads a custom config file - Settings.merge_from() only overlays non-default values from the TOML file - `ironclaw config path` now shows TOML file status Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address codex review findings - apply_toml_overlay now returns Result and errors on explicit missing or invalid config paths (was log-only, violating the documented contract that explicit paths are fatal) - custom tunnel url_pattern is now used to filter extracted URLs, not just as a gate for scanning stdout - systemd ExecStart path is now quoted to handle spaces in paths Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address PR review feedback - Cache key now includes max_tokens, temperature, and stop_sequences so different request parameters produce distinct keys - to_cents() uses .trunc() + parse::<u64> instead of f64 intermediary, avoiding precision loss for large values - Tailscale public URL no longer includes local port (serve/funnel expose on standard HTTPS port 443) Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: wire up tunnel lifecycle and fix audit findings Connect the tunnel module to the rest of the application so that setting TUNNEL_PROVIDER actually starts a managed tunnel at boot and stops it on shutdown. Previously create_tunnel() was never called outside tests. Changes: - Expand TunnelSettings with provider credential fields (settings.rs) - TunnelConfig::resolve() falls back to DB settings when env vars unset - Start tunnel at boot, stop on shutdown, show URL in boot screen - Setup wizard collects provider-specific credentials (ngrok, cloudflare, tailscale, custom, static URL) - Fix public_url() returning None under lock contention (SharedUrl) - Fix local_host parameter ignored by cloudflare/ngrok/tailscale - Fix tailscale silent fallback to "localhost" on bad JSON - Fix ngrok globally mutating config via add-authtoken (use env var) - Add 10s timeout to tailscale status --json Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address PR review comments - Document split_whitespace limitation in CustomTunnel doc comment - Remove unnecessary quotes from systemd ExecStart directive Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address PR review feedback (round 3) - doctor: missing libSQL DB on fresh install is Pass, not Fail - service: quote ExecStart path for systemd space handling Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: correct cost guard doc comment (LLM calls, not LLM/tool) 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
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). All settings are saved to
~/.ironclaw/settings.toml.
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.
