* feat(engine-v2): Phase 4 cost tracking + Phase 6 mission lifecycle acceptance Closes two gaps blocking v2 engine becoming the default: **Phase 4 — token + cost accounting** - Delete orphaned `crates/ironclaw_engine/src/executor/compaction.rs` (176 lines). The Python orchestrator (`default.py::compact_if_needed`) has owned compaction policy since #1557; the Rust module had no callers anywhere in the workspace. - Wire `cost_usd` in `LlmBridgeAdapter` by calling `LlmProvider::calculate_cost()` at both the no-tools and with-tools response paths. The engine's `Thread::total_cost_usd` accumulator and `max_budget_usd` gates were already plumbed — only the adapter was hardcoding 0.0. - Persist `total_cost_usd` through `ThreadArchiveSummary` round-trip in `store_adapter.rs`. Previously, rehydrating an archived thread silently dropped the cost to 0.0. `#[serde(default)]` keeps existing archive files deserializing cleanly. **Phase 6 — mission lifecycle acceptance** Three new integration tests in `bridge/effect_adapter.rs` driving `execute_action()` end-to-end (per `.claude/rules/testing.md` "Test Through the Caller"): - `mission_full_lifecycle_via_execute_action` — create → list → complete → list, asserting the `Completed` status surfaces through `mission_list` after `mission_complete`. - `mission_fire_returns_thread_id_for_manual_cadence_via_execute_action` — fresh manual mission fires successfully and returns a UUID thread_id rather than `not_fired`. - `mission_list_returns_all_user_missions_via_execute_action` — all three created missions appear in `mission_list` output. **Regression tests for cost wiring** Three new tests in `bridge/llm_adapter.rs`: - `complete_no_tools_populates_cost_usd_through_adapter` - `complete_with_tools_populates_cost_usd_through_adapter` - `complete_routes_subcalls_through_cheap_provider_for_cost` — pins that `depth > 0` is priced with the cheap provider, not the primary. Coordinated with in-flight work: skipped paths owned by #2504 (auth E2E), #2631 (paused-lease resume), #2570 (mission re-fire), #2549 (mission_get), #2452 (tool_calls persistence), #2621 (replay snapshot). Verified: `cargo fmt`, `cargo clippy --all --benches --tests --examples --all-features` (0 warnings), `cargo test -p ironclaw_engine` (409 passed), `cargo test -p ironclaw --lib` (5079 passed). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * feat(engine-v2): surface engine capability actions to LLM via available_actions Fixes the gap called out in the PR body: `EffectBridgeAdapter::available_actions` was only enumerating v1 `ToolRegistry` tools + latent OAuth actions, so engine-native capabilities like `missions` never appeared in the LLM's tools list even when a thread held an active lease for them. The LLM was therefore unable to call `mission_create` / `mission_list` / etc. via structured tool calls; the only ways to drive missions were CodeAct Python calls (which relied on the same `known_actions` set and hit the same gap) or `/routine` slash commands falling through to v1. Wire `CapabilityRegistry` into the adapter and iterate active leases to surface every leased, engine-registered capability action. Respects lease grant scope — a lease granting only `mission_list` does not leak `mission_create`. Skips the `"tools"` capability since that lease is already reconciled from the v1 path. Router wires the shared `Arc<CapabilityRegistry>` to both the adapter and `ThreadManager` at setup. Three new regression tests: - `available_actions_surfaces_leased_mission_capability` - `available_actions_respects_partial_lease_grant` - `available_actions_omits_capability_without_lease` Verified: `cargo fmt`, `cargo clippy --all --benches --tests --examples --all-features` (0 warnings), `cargo test -p ironclaw_engine` (409 passed), `cargo test -p ironclaw --lib` (5082 passed). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * test(engine-v2): close review gaps — archive round-trip, v1/engine merge, defensive filters Addresses gaps raised in PR #2660 review: - **Consolidate `use ironclaw_engine::{...}`** into a single grouped import in `effect_adapter.rs` (was split across two statements). - **Apply `is_v1_only_tool` / `is_v1_auth_tool` filters** to the engine capability path in `available_actions`. Defensive guardrail: a future engine capability that registers an action under a v1-denylisted name (`create_job`, `tool_auth`, ...) must not bypass the v2-isolation filters by virtue of coming through a different capability registry. - **`ThreadArchiveSummary` serialization round-trip tests** in `store_adapter.rs`: - `archive_summary_preserves_total_cost_usd_through_round_trip` — pins the regression the PR fixed (cost silently zeroed on rehydration). - `archive_summary_handles_legacy_json_without_total_cost_usd_field` — pins `#[serde(default)]` back-compat for archive files written before this PR. - **`available_actions` combined advertising tests** in `effect_adapter.rs`: - `available_actions_merges_v1_tools_with_engine_capabilities` — v1 tool + mission capability both surface on one call. - `available_actions_filters_v1_denylisted_names_from_engine_capabilities` — pins the new defensive filter. - **`cost_usd_from` subscription-billed-provider test** in `llm_adapter.rs`: - `complete_with_subscription_billed_provider_yields_zero_cost` — zero `cost_per_token` round-trips to exactly `0.0`, no NaN/Inf. Verified: `cargo fmt`, `cargo clippy --all --benches --tests --examples --all-features` (0 warnings), `cargo test -p ironclaw_engine` (409 passed), `cargo test -p ironclaw --lib` (5087 passed, +5 new). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * fix(engine-v2): price cache tokens correctly in LlmBridgeAdapter Addresses PR #2660 review (gemini-code-assist + Copilot, L23/L115/L189): `cost_usd_from` only priced `input_tokens + output_tokens`, ignoring `cache_read_input_tokens` and `cache_creation_input_tokens`. For providers with prompt caching (Anthropic, OpenAI), this undercounted input cost and silently neutered the `max_budget_usd` gate. Extend the helper to mirror the canonical formula in `src/agent/cost_guard.rs::CostGuard::record_llm_call`: uncached_input = input_tokens - (cache_read + cache_write) cache_read_cost = input_rate * cache_read / cache_read_discount() cache_write_cost = input_rate * cache_write * cache_write_multiplier() cost = input_rate * uncached_input + cache_read_cost + cache_write_cost + output_rate * output_tokens All `LlmProvider` implementations already supply `cache_read_discount()` (default 1, Anthropic 10, OpenAI 2) and `cache_write_multiplier()` (default 1, Anthropic 1.25 for 5m / 2.0 for 1h) through the decorator chain, so no trait surgery is required. Regression test: `complete_prices_cache_tokens_with_discount_and_multiplier` uses Anthropic Sonnet 5m-TTL rates, exercises a 10k-input / 2k-read / 1k-write / 500-output response, and pins the correct total ($0.03285) against the old naive $0.0375 that would have undercounted ~14%. Verified: `cargo fmt`, `cargo clippy --all --benches --tests --examples --all-features` (0 warnings), `cargo test -p ironclaw_engine` (435 passed), `cargo test -p ironclaw --lib` (5136 passed). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
IronClaw
Your secure personal AI assistant, always on your side
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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 supports many LLM providers out of the box. Built-in providers include Anthropic, OpenAI, GitHub Copilot, Google Gemini, MiniMax, Mistral, and Ollama (local). OpenAI-compatible services like OpenRouter (300+ models), Together AI, Fireworks AI, and self-hosted servers (vLLM, LiteLLM) are also supported.
Select your provider in the wizard, or set environment variables directly:
# Example: MiniMax (built-in, 204K context)
LLM_BACKEND=minimax
MINIMAX_API_KEY=...
# Example: OpenAI-compatible endpoint
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/capabilities/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
- Channels: See docs/channels/overview.mdx for setup of Telegram, Discord, and other channels.
- 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.
