* fix(ci): secrets can't be used in step if conditions [skip-regression-check] (#787) GitHub Actions step-level `if:` doesn't have access to `secrets` context. Replace `if: secrets.X != ''` with `continue-on-error: true` and let the Set token step handle the fallback. Co-authored-by: Claude Sonnet 4.6 <[email protected]> * fix(ci): clean up staging pipeline — remove hacks, skip redundant checks [skip-regression-check] (#794) - Remove continue-on-error from staging-ci.yml app token steps (secrets are configured) - Skip test.yml and code_style.yml on PRs targeting staging (staging-ci.yml already runs tests before promoting, promotion PR gets full CI on main) - Allow ironclaw-ci[bot] in Claude Code review for bot-created promotion PRs Co-authored-by: Claude Opus 4.6 <[email protected]> * fix(ci): run fmt + clippy on staging PRs, skip Windows clippy [skip-regression-check] (#802) - Remove branches:[main] filter from code_style.yml so it runs on all PRs - Gate clippy-windows with `if: github.base_ref == 'main'` (skip on staging PRs) - Update rollup job to allow skipped clippy-windows - Simplify claude-review.yml to only trigger on labeled event (avoids duplicate runs) Co-authored-by: Claude Opus 4.6 <[email protected]> * feat: persist user_id in save_job and expose job_id on routine runs (#709) * feat: persist worker events to DB and fix activity tab rendering In-process Worker (used by Scheduler::dispatch_job) now persists events via save_job_event at key execution points: plan creation, LLM responses, tool_use, tool_result, and job completion/failure/stuck. Event data shapes match the container worker format so the gateway activity tab renders them correctly. Frontend: tool_result errors now show a red X icon with danger styling instead of a silent empty output. The result event falls back to the error field when message is absent. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: wire RoutineEngine into gateway for direct manual trigger firing Replace the message-channel hack in routines_trigger_handler with a direct call to RoutineEngine::fire_manual(), ensuring FullJob routines dispatch correctly when triggered from the web UI. Inject the engine into GatewayState from Agent::run after construction. Also persists user_id in save_job for both PG and libSQL backends, removes the source='sandbox' filter so all jobs are visible, and exposes job_id on RoutineRunInfo for the frontend job link. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: remove stale gateway_state argument from Agent::new test call sites The gateway_state parameter was removed from Agent::new during rebase (replaced by post-construction set_routine_engine_slot), but three test call sites still passed the extra None argument. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address PR review — restore sandbox source filter, remove blank lines - Revert removal of `source = 'sandbox'` filter in all SandboxStore queries (8 sites across PG and libSQL). Sandbox-specific APIs should stay scoped to sandbox jobs; unified job listing for the Jobs tab should use a separate query path. - Remove extra blank lines in agent_loop.rs and worker.rs that caused formatting CI failure. [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address review — regenerate Cargo.lock, add user_id regression test - Regenerate Cargo.lock from main's lockfile to eliminate dependency version downgrades (anyhow, syn, etc.) that were churn from rebase. - Add regression test verifying user_id round-trips through save_job and get_job in the libSQL backend. Co-Authored-By: Claude Opus 4.6 <[email protected]> * style: remove trailing blank line in libsql jobs.rs [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * test: add Postgres-side regression test for user_id persistence in save_job Mirrors the existing libSQL test (test_save_job_persists_user_id) for the Postgres backend. Gated behind #[cfg(feature = "postgres")] + #[ignore] since it requires a running PostgreSQL instance (integration tier). Co-Authored-By: Claude Opus 4.6 <[email protected]> --------- Co-authored-by: Claude Opus 4.6 <[email protected]> * refactor: unify three agentic loops into single AgenticLoop engine (#654) Replace three independent copy-pasted agentic loops (dispatcher, worker, container runtime) with a single shared engine in `agentic_loop.rs` that all consumers customize via the `LoopDelegate` trait. Phase 1 — Shared engine (`src/agent/agentic_loop.rs`, 205 lines): - `run_agentic_loop()` owns the core LLM → tool exec → repeat cycle - `LoopDelegate` trait (Send + Sync, &dyn dispatch) with 6 hook points - Tool intent nudge logic consolidated (was duplicated in 3 files) - Iteration limit + force-text behavior preserved Phase 2 — Three delegate implementations: - `ChatDelegate` (dispatcher.rs): 3-phase approval flow, hooks, cost guard, context compaction, skill attenuation, interruption - `JobDelegate` (worker/job.rs): planning pre-loop phase, parallel JoinSet exec, mark_completed/stuck/failed, SSE streaming, self-repair - `ContainerDelegate` (worker/container.rs): sequential tool exec, HTTP-proxied LLM, container-safe tools, credential injection Phase 3 — File moves and cleanup: - Delete `src/agent/worker.rs` — job logic moved to `src/worker/job.rs` - Rename `src/worker/runtime.rs` → `src/worker/container.rs` - Re-export `Worker`/`WorkerDeps` from `crate::worker` in `agent/mod.rs` - Update `scheduler.rs` imports to new worker location Shared helpers (`src/tools/execute.rs`): - `execute_tool_with_safety()` replaces 4 copies of validate → timeout → execute → serialize - `process_tool_result()` replaces 3 copies of sanitize → wrap → ChatMessage (also used by thread_ops.rs approval resume paths) Net result: -2,408 lines, zero duplicated loop logic, single code path for tool intent nudge and completion detection. Closes #654 Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address review feedback from Copilot 1. scheduler.rs: Replace `unwrap_or` fallback with proper error propagation when parsing tool output JSON — surfaces bugs instead of silently changing the output type. 2. worker/job.rs: Drop MutexGuard before the cancellation `.await` in `check_signals()` to avoid holding a lock across an async I/O call (prevents `await_holding_lock` lint). 3. worker/job.rs: Restore consecutive rate-limit counter (MAX_CONSECUTIVE_RATE_LIMITS = 10) so sustained rate limiting marks the job stuck with "Persistent rate limiting" instead of silently burning through max_iterations. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: incorporate staging changes — token budget tracking + mark_failed Merge staging's changes into the refactored JobDelegate: - Add token budget tracking in call_llm (update_context/add_tokens) - mark_stuck → mark_failed for iteration cap and rate-limit exhaustion (aligns with staging's #788 fix) Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address zmanian's PR review — eliminate type erasure, clean up Address all 6 review points from zmanian on PR #800: 1. Replace LoopOutcome::Custom(Box<dyn Any>) with typed LoopOutcome::NeedApproval(Box<PendingApproval>) — eliminates type erasure and downcast, resolves clippy large_enum_variant. 2. Remove dead max_tool_iterations field from ChatDelegate struct. 3. Add on_tool_intent_nudge() hook to LoopDelegate trait with implementations in Job and Container delegates for observability. 4. Fix SSE events in job worker to emit raw sanitized content instead of XML-wrapped <tool_output> tags. 5. Remove 4 duplicate completion tests from job.rs that were already covered by the shared util module. 6. Avoid logging full tool results — use result_size_bytes in debug logs (execute.rs, job.rs). Also updates path references in CLAUDE.md, COVERAGE_PLAN.md, and add-sse-event.md command. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat(doctor): expand diagnostics from 7 to 16 health checks * test: add unit tests for agentic_loop and execute shared modules Add 16 tests covering the two new critical shared modules: agentic_loop.rs (10 tests): - Text response exits loop immediately - Tool call → text response continuation - LoopSignal::Stop exits before LLM call - LoopSignal::InjectMessage adds user message to context - Max iterations terminates with LoopOutcome::MaxIterations - Tool intent nudge fires twice then caps - before_llm_call early exit bypasses LLM - truncate_for_preview: short string, long string, multibyte safety execute.rs (6 tests): - execute_tool_with_safety success path - Missing tool returns ToolError::NotFound - Tool execution failure propagates - Per-tool timeout enforcement (50ms) - process_tool_result XML wrapping on success - process_tool_result error formatting All 2,777 unit tests pass, 0 clippy warnings. Co-Authored-By: Claude Opus 4.6 <[email protected]> * style: cargo fmt Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address code review — 9 issues across agentic loop, job worker, container CRITICAL fixes: - Rate-limit exhaustion now returns Err(LlmError::RateLimited) instead of Ok(Text("")), stopping the loop immediately with no ghost iteration. Below-threshold retries still use Text("") with an explicit empty-string guard in handle_text_response to skip injection. - check_signals drains the entire message channel before returning, prioritizing Stop over UserMessage. Previously returned early on first UserMessage, silently dropping any queued Stop or additional messages. - check_signals now detects all non-progressing job states (Cancelled, Failed, Stuck, Completed, Submitted, Accepted) instead of only Cancelled and Failed. HIGH fixes: - Error path in process_tool_result_job applies truncate_for_preview to bound error strings in SSE/DB events (was unbounded). - Document Send+Sync lifetime constraint on LoopDelegate trait. - Test mock before_llm_call refactored from double-lock to single lock acquisition, eliminating deadlock risk on refactor. MEDIUM fixes: - CompletionReport includes actual iteration count via shared Arc<Mutex<u32>> tracker (was hardcoded 0). - process_tool_result_job return type changed from Result<bool> to Result<()> — the bool was always false (dead API). - Deduplicate truncate in container.rs; now uses truncate_for_preview from agentic_loop. Verified: 0 clippy warnings, 2781 tests pass, cargo fmt clean. Co-Authored-By: Claude Opus 4.6 <[email protected]> --------- Co-authored-by: Henry Park <[email protected]> Co-authored-by: Claude Sonnet 4.6 <[email protected]> Co-authored-by: Illia Polosukhin <[email protected]> Co-authored-by: Umesh Kumar Singh <[email protected]> Co-authored-by: reidliu41 <[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.
