* feat(stress): scripted tool-call workload with durable write read-back (#7360) Phase 1 of issue #7360: teach the stress harness to drive real builtin and memory tool calls through the production capability path and verify their durable side effects. The api-user-capacity mock LLM sidecar learns a deterministic scripted state machine: the driver embeds an `ironclaw-stress-tool` marker in the user message, the sidecar emits the scripted tool call for a tool advertised in the request, the server executes it through the real capability host, and the driver verifies the read-back verdict in the final assistant message. Verdicts: confirmed / contended (same-user CAS race, counted) / leak (cross-user isolation, hard failure) / missing (write lost, hard failure) / undisclosed (tool never advertised). Scripts: write_file_roundtrip (write_file + read_file of a unique workspace path), memory_roundtrip / memory_grow / memory_mixed (ironclaw.memory.write/replace-append + read of the shared stress/shared.md target — every run doubles as a same-relative-path isolation check). --api-scripted-doc-sizes cycles 4 KiB..1 MiB documents with per-size buckets and submit-to-tool-visible / submit-to-finalize stage latencies; --api-hot-writers spawns concurrent same-user writers for hot-document CAS contention. Gated tools are exercised through the per-user Tools auto-approve setting enabled during setup via the production settings API. Wired as a nightly leg in the hosted-single-tenant Postgres job (the existing server stays up; the leg rebinds the mock sidecar on the same port). Unit coverage: marker parsing, per-op step sequencing, tool-name resolution (encoded/dotted/bare), verdict computation incl. leak precedence, disclosure fallback, timeline helpers, per-size summary buckets, and flag validation. * fix(stress): hot writers on distinct user threads, size floor, CI server lifecycle Review fixes for the #7360 Phase 1 scripted workload: - Hot writers now run on distinct threads of the first user instead of sharing one thread, so concurrent operations exercise real per-user memory-document CAS contention rather than per-thread turn serialization. setup_users creates and records one extra thread per hot writer for user 0; run_hot_writer picks its own thread. - Scripted document sizes are floored at 4 KiB (the token-dominated region below is meaningless and the issue's workloads start there); enforced in marker parsing and --api-scripted-doc-sizes validation. - The CI scripted leg runs inside the server's run block so the trap does not kill the server before it starts; artifacts upload together. - Wire-shape tests: mock_tool_call_response deserializes as the rig OpenAI CompletionResponse (stringified arguments, finish_reason tool_calls) and streaming tool-call chunks carry indexed delta tool_calls. * fix(stress): hot-writer client action ids collide with the primary writer A hot writer and the first user's regular writer shared the same user label and operation index, so their client_action_id values were identical and the server rejected the second submit with a 409 duplicate conflict. Include the scripted op prefix (h{k}-) in the operation ref so concurrent writers always submit distinct action ids. Found by a full local E2E run of the scripted leg against a real hosted-single-tenant server: after the fix, memory_roundtrip with one hot writer runs 9/9 clean (6 confirmed + 3 contended, 0 leaks) and memory_grow runs 8/8 confirmed. * fix(stress): address coderabbit review — verdict integrity, op-scoped tool counts, typed script key (#7382) - compute_verdict: verdict comes from read steps only (write echoes can no longer mask missing/contended) - timeline tool evidence: count tool results by sequence above the op's baseline instead of subtracting page-limited absolute counts - timeline verdict match: delimit prefix by trailing space so op 1 cannot terminate on op 10's message; parse_result_verdict aligns on substring - background users namespace markers as b{index} so cross-cohort leaks cannot read back as their own token - hot writers drain in a dedicated JoinSet (no run_virtual_user refills) - fraction chunks derive from cumulative boundaries so split writes persist exactly the configured size (regression test at 4097) - ScriptKey derives clap::ValueEnum: CLI, marker wire format, and parsing share one string mapping; --api-hot-writers rejects write_file_roundtrip - parse_marker bounds identity grammar; poisoned mutex recovery; sorted stage latencies; single conversation parse per completion request; CLI-level scripted validation test and doc-size bound coverage * test(stress): cover --api-wait-for-assistant gate in CLI-level scripted test (#7382)
IronClaw
Your secure personal AI assistant, always on your side
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Quick Start • Philosophy • Features • Installation • Configuration • Security • Architecture
Quick Start
Choose an ironclaw-v* tag from the Releases page,
then install it on macOS, Linux, or Windows/WSL. Replace X.Y.Z with the
selected version, including any prerelease suffix:
IRONCLAW_RELEASE_TAG=ironclaw-vX.Y.Z
curl --proto '=https' --tlsv1.2 -LsSf \
"https://github.com/nearai/ironclaw/releases/download/${IRONCLAW_RELEASE_TAG}/ironclaw-installer.sh" | sh
Then run the guided setup:
ironclaw onboard
Choose an LLM provider, enter its API key in the hidden prompt, and accept the default model or enter another one. IronClaw provisions its local configuration, encrypted credential store, and WebUI login token. On macOS and Linux it also installs and starts the background service, then prints a link that opens the WebUI.
Use ironclaw status to check the service and print the login link again.
Windows users can start the WebUI in the foreground with ironclaw serve.
See Installation for Windows installers and source builds.
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
The Releases page provides pre-built binaries and installers.
Install via Windows Installer (Windows)
Open the selected ironclaw-v* release, download
ironclaw-x86_64-pc-windows-msvc.msi, and run it.
Install via PowerShell script (Windows)
$IronClawReleaseTag = "ironclaw-vX.Y.Z"
irm "https://github.com/nearai/ironclaw/releases/download/$IronClawReleaseTag/ironclaw-installer.ps1" | iex
Install via shell script (macOS, Linux, Windows/WSL)
IRONCLAW_RELEASE_TAG=ironclaw-vX.Y.Z
curl --proto '=https' --tlsv1.2 -LsSf \
"https://github.com/nearai/ironclaw/releases/download/${IRONCLAW_RELEASE_TAG}/ironclaw-installer.sh" | sh
Build and install from source
Source builds require Rust 1.96+ and Node.js 22+ with Corepack/pnpm.
git clone https://github.com/nearai/ironclaw.git
cd ironclaw
corepack enable pnpm
cargo install --locked --path crates/app/ironclaw_cli
Configuration
ironclaw onboard is the primary configuration path. It writes Reborn state
under $HOME/.ironclaw/reborn by default, stores the selected LLM credential
in the encrypted local secret store, and preserves existing configuration when
it is run again.
Inspect the current setup with:
ironclaw status
ironclaw models status
ironclaw config list
To switch providers after onboarding, select the route and then store its API key using the hidden prompt:
ironclaw models set-provider openai --model gpt-5-mini
ironclaw config set openai.api_key
Additional settings use the same command. For example:
ironclaw config set google.client_id YOUR_CLIENT_ID
ironclaw config set google.client_secret
ironclaw config set google.redirect_uri YOUR_REDIRECT_URI
ironclaw config set webui.token --rotate
Secret values never accept a positional argument; IronClaw prompts for them without echoing the value. Channels such as Slack and Telegram have no configuration-file settings and no CLI enablement key: install the extension and complete its setup on the WebUI Extensions page, which is what makes the route serve.
Configuration writes never restart the service automatically. Run
ironclaw service restart after a change that affects the running service,
and use ironclaw config set --help for the complete list of supported keys.
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 IronClaw's application state
- 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
# Check the background service and print the WebUI login link
ironclaw status
# Start an interactive terminal session
ironclaw repl
# Run one turn
ironclaw run --message "hello"
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.
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.
