firat.sertgoz 8898d3ea4f test(harness): add Phase 2 replay and gateway coverage (#2896)
* test(replay): add approval round-trip fixtures (Phase 2 of #2828)

First fixture-driven Layer 1 (replay) coverage of the full v1 approval
cycle: pause -> user resolution -> resume. Companion to the existing
no_done_emitted_while_awaiting_approval test in e2e_response_order.rs,
which covers the pause but not the resume.

Three scenarios:
- approval_yes: user approves -> tool runs once -> final LLM response
- approval_no: user denies -> tool does NOT run -> agent surfaces a
  built-in rejection message (no follow-up LLM call, by design)
- approval_always: allow-always on first call -> second call runs
  without re-prompting, exactly one ApprovalNeeded total

Uses a test-only NeedsApprovalProbe tool with
ApprovalRequirement::UnlessAutoApproved registered via
TestRig::with_extra_tools, with auto_approve_tools(false) so the agent
actually pauses for resolution.

The deny-path discovery (no LLM follow-up on rejection) is documented
in the test so future readers don't reintroduce the trailing text step.

Updates tests/fixtures/llm_traces/README.md to list the new fixtures.
Bumps approvals coverage in the harness-testing matrix from ~ to (closer
to) full at Layer 1.

* test(replay): expand approval coverage with 4 missing scenarios

Adds the four approval scenarios that the original three-test set
omitted, completing the state-space matrix across ApprovalRequirement
variants, the master kill-switch config, and submission-routing edge
cases.

New tests (all in tests/e2e_approval_traces.rs):

- always_requirement_ignores_allow_always_persistence
  ApprovalRequirement::Always is the unbypassable hard floor — even an
  'allow-always' resolution must NOT skip the pause on subsequent calls
  of an Always-tool. Two pauses for two calls.

- slash_approve_routes_as_approval_response
  '/approve' is parsed as Submission::ApprovalResponse even though bare
  'yes' downgrades to UserInput when nothing is pending. Pins the
  divergent routing in submission.rs.

- bare_yes_with_no_pending_approval_is_user_input
  Bare 'yes' with no pending approval must downgrade to UserInput and
  reach the LLM as a normal user message. Asserts the routing layer in
  agent_loop.rs performs the downgrade (parser is stateless).

- config_auto_approve_bypasses_unless_auto_approved
  Agent-config auto_approve_tools=true is the master kill-switch — no
  ApprovalNeeded is ever emitted, even for UnlessAutoApproved tools.

Also adds AlwaysApprovalProbe (mirrors NeedsApprovalProbe but returns
ApprovalRequirement::Always) and three fixtures:

- approval_always_floor.json
- approval_slash.json
- approval_bare_yes_no_pending.json

README updated to list the new fixtures.

Phase 2 of #2828.

* test(replay): add auth-gate round-trip fixtures (Phase 2 of #2828)

Five replay fixtures covering the engine v2 auth-gate state space:
- auth_credential_provided: happy path (CredentialProvided -> resume)
- auth_cancelled: user rejects (Cancelled -> resume)
- auth_retry_invalid_then_valid: invalid credential, retry path
- auth_external_callback: ExternalCallback submission path
- auth_gate_request_id: AuthRequired populates request_id (v2 only)

Probe tool: MockActivateTool (name "tool_activate") with scriptable
output queue, installed via TestRegistry::replace_for_test to bypass
PROTECTED_TOOL_NAMES. Planted minimal SKILL.md provides the credential
spec needed by AuthManager's submit_auth_token path (otherwise the
auth flow short-circuits with "Extension not installed").

Rig additions:
- send_gate_auth_resolution(request_id, AuthGateResolution)
- send_external_callback(request_id)
- with_test_tool_override(tool) builder
- TestChannel::channel_name / user_id accessors

Serialization: all auth-gate tests share engine_v2_test_lock()
(per-file static Mutex) because engine v2 uses a process-global
OnceLock<RwLock<Option<EngineState>>>.

Fixtures omit tools_used / all_tools_succeeded because engine v2
suppresses ToolStarted/ToolCompleted events when a tool output
becomes a gate pause; verification uses the mock's internal
execution counter instead.

* test(router): cover auth fallback caller path (Phase 2 of #2828)

* test(harness): add gateway-ops trace replay runner (#643, Phase 2 of #2828)

Introduces Trace/TraceOperation/TraceExpectation types and TraceRunner
that replays an ordered sequence of tool invocations against a libSQL
test DB. The runner creates ActionRecords via the same save_action path
gateway handlers use and matches outcomes against declared expectations.

This is the inverse of the agentic TraceLlm harness: where TraceLlm
replays an LLM stream and asserts the agent re-produces tool calls,
TraceRunner replays caller-dispatched tool calls and asserts the
Tool -> ActionRecord -> save_action pipeline matches expectations.

Deliverables:
- tests/support/trace_runner.rs: Trace, TraceOperation, TraceExpectation
  (Success { assertions } / Failure { error_contains }), TraceResult
  (with job_id for DB cross-checks), TraceFailure, TraceRunner with
  replay(). Assertion DSL supports eq / contains_text / fields (dot-path).
- tests/e2e_gateway_trace_harness.rs: 7 integration tests covering echo
  roundtrip, idempotency, unknown-tool failure, mix assertions, forced
  mismatch detection, DB persistence via get_job_actions, and cross-run
  determinism.
- tests/fixtures/gateway_traces/: 4 JSON fixtures + README documenting
  the wire format and the deferred settings_* / extension_* roadmap
  (blocked on #640 and network-stub work respectively).

Pitfalls addressed:
- Parent agent_jobs row is created via save_job before the first
  save_action; job_actions.job_id has a FK to agent_jobs(id) ON DELETE
  CASCADE that would otherwise fail.
- Deterministic-field check in the determinism test excludes id /
  executed_at / duration (intentionally variable across replays).
- ToolError has no NotFound variant; missing-tool lookups are reported
  via ExecutionFailed("tool not registered: {name}") so Failure
  expectations can substring-match on "not registered".

* fix: address review findings (iteration 1)
2026-04-24 13:49:50 +03:00
2026-02-22 19:08:43 +00:00
2026-02-22 19:08:43 +00:00
2026-02-21 15:14:57 -07:00

IronClaw

IronClaw

Your secure personal AI assistant, always on your side

License: MIT OR Apache-2.0 Telegram: @ironclawAI Reddit: r/ironclawAI gitcgr

English | 简体中文 | Русский | 日本語 | 한국어

PhilosophyFeaturesInstallationConfigurationSecurityArchitecture


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 1.92+
  • 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

Engine v2 is opt-in right now. If you want to run the new engine instead of the legacy agent loop, start IronClaw with ENGINE_V2=true. See Engine v2 architecture for more details.

# First-time setup (configures database, auth, etc.)
ironclaw onboard

# Start interactive REPL
cargo run

# Start interactive REPL with engine v2
ENGINE_V2=true cargo run

# Engine v2 with debug logging
ENGINE_V2=true 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.sh before cargo build so 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:

at your option.

Description
IronClaw is OpenClaw inspired implementation in Rust focused on privacy and security IronClaw 基于一个简单的原则:你的 AI 助手应该为你服务,而不是与你为敌。
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