Illia Polosukhin 4104e87b65 fix(secrets): TOCTOU-safe auto-generate, lazy keychain probe, fail-loud on stale DB (#2653)
* fix(secrets): prefer keychain over env, TOCTOU-safe generate, testable resolve

Follow-up to PR #2648 addressing the four items raised in its review:

1. **Probe order swap** — `SecretsConfig::resolve()` now probes the OS
   keychain first, then `SECRETS_MASTER_KEY` env var, then auto-generate.
   Keychain storage is OS-encrypted and the stronger substrate; env var
   remains the CI/Docker escape hatch when no keychain exists. When both
   are present with different keys, keychain wins.

2. **TOCTOU safety** — before writing a newly-generated key to `.env`,
   re-read the file to detect a concurrent writer's key. If present,
   use it instead of overwriting. Closes the common-case P1-wrote-while-
   P2-mid-generate race; a residual microsecond window remains between
   the re-check and the write (a full fix would need a file lock).

3. **Zeroization analysis** — intermediate hex `String`s flow through
   `SecretString` but aren't zeroized. Documented that this is
   acceptable because the durable leak surface is `~/.ironclaw/.env`
   in plaintext, not heap fragments.

4. **Dead branch** — removed the unreachable `KeySource::None` arm in
   `auto_setup_security`'s message match (replaced with
   `unreachable!()`), and added a test that asserts keychain wins when
   both sources are present.

Refactor: `resolve_inner` now takes an injected keychain probe result
and an `allow_keychain_persist` flag so tests drive every branch
deterministically without touching the real OS keychain (previously
hung on macOS dev machines waiting for Keychain Access dialogs).

Also adds `crate::config::clear_injected_var` (test-only) so tests
that exercise the `inject_single_var` path can clean up the overlay
and avoid cross-test contamination.

Tests:
- `keychain_wins_over_env_when_both_present` — probe-order invariant
- `env_var_wins_when_keychain_empty` — CI fallback still works
- `resolve_persists_generated_key_when_nothing_available` — regression
  test for #1820, now deterministic
- `toctou_picks_up_concurrent_writer` — new TOCTOU regression
- `short_env_key_is_rejected` — AES-256 length invariant
- `read_secrets_master_key_*` — helper unit tests

All run in parallel without mutex contention.

* fix(secrets): revert probe-order flip; fail loudly on stale DB with fresh key

Addresses PR #2653 review feedback.

- Revert the probe-order change: env-first, keychain-second, auto-generate
  third. The previous flip diverged from every other master-key reader
  (SetupWizard::step_security, SetupWizard::init_secrets_context,
  crate::secrets::resolve_master_key, cli import), creating a
  correctness hazard where onboarding could encrypt a row with one key
  and a later startup read it with another. Also restores "explicit env
  var wins" and avoids the unnecessary macOS Keychain Access dialog
  that an eager probe triggered even when SECRETS_MASTER_KEY was set.

- Make the keychain probe lazy in resolve_with_env_path: only call
  keychain::get_master_key() when SECRETS_MASTER_KEY is unset.

- Fix read_secrets_master_key TOCTOU parser: `split_once('=')?` bailed
  out of the whole scan on the first non-KEY=VALUE line (blank lines,
  comments), defeating the re-check on any real .env. Now continues
  past non-assignment lines. Raised by gemini-code-assist, Copilot,
  and @serrrfirat (3 dupes).

- New safety gate: if resolve falls through to
  auto_generate_and_persist, mark SecretsConfig.generated = true.
  AppBuilder::init_secrets now calls SecretsStore::any_exist() and
  errors out when a fresh key meets a populated secrets table — those
  rows were encrypted with a different key and silently continuing
  would shadow unrecoverable data. Default trait impl returns false;
  Postgres, libSQL, and in-memory backends override with real probes.

Tests:
- env_wins_over_keychain_when_both_present (replaces keychain-wins)
- keychain_wins_when_env_unset (new keychain-fallback coverage)
- generated_flag_tracks_auto_generate_path (flag-propagation invariant)
- read_secrets_master_key_skips_blank_and_comment_lines (TOCTOU regression)
- any_exist_reflects_global_store_state (safety-gate backing query)

* fix(secrets): address safety-gate review findings

- TOCTOU-reuse branch now returns `generated = false`. When P2's
  `auto_generate_and_persist` picks up the key P1 concurrently wrote
  to `.env`, P2's key matches whatever rows P1 has encrypted —
  treating it as a fresh generate would cause `init_secrets` to
  spuriously abort the moment P1 wrote its first row.

- Extract the safety gate into `crate::secrets::verify_generated_key_safe`
  with a dedicated `GeneratedKeySafetyError` (two variants:
  `StoreAlreadyPopulated`, `ProbeFailed`). `init_secrets` now calls it
  and `?`-propagates. Fail-closed on probe error: the previous
  warn-and-continue defeated the purpose of the gate when the DB was
  transiently broken.

- `RecordingSecretsStore` mock now delegates `any_exist` to its inner
  store, matching its delegation pattern for every other method.

- Refresh `auto_generate_and_persist` doc comment — keychain-first is
  conditional on `allow_keychain_persist`.

Tests:
- `toctou_picks_up_concurrent_writer` now asserts `!cfg.generated`.
- `generated_flag_tracks_auto_generate_path` defensively clears the
  injected-var overlay between branches so leaked state from a prior
  test can't flip the branch under test.
- New `verify_generated_key_safe_*` tests cover: non-generated key +
  populated store (must pass), generated key + empty store (first-
  install happy path), generated key + populated store (must fail
  with `StoreAlreadyPopulated` and mention the remediation env var),
  probe error (must fail-closed with `ProbeFailed`; `generated = false`
  must short-circuit before touching the probe).

* fix(secrets): roll back persistence when safety gate rejects fresh key

Addresses Copilot review finding on PR #2653.

`auto_generate_and_persist` writes the fresh key to keychain or
`~/.ironclaw/.env` *before* `init_secrets` runs the safety gate. Without
rollback, a failed gate left the key persisted, so the next restart
would read it back as `source = Env/Keychain, generated = false`, skip
the gate, and silently accept a key that cannot decrypt the existing
rows — exactly the data-shadowing the gate exists to prevent.

`crate::secrets::rollback_generated_key_persistence(source, env_path)`
now undoes the persistence on gate failure (best-effort; failures are
logged and swallowed since the gate's abort is the primary user signal).
Supporting `bootstrap::remove_bootstrap_var_to(path, key)` strips a
single line from `.env` while preserving the rest.

`init_secrets` wires both together: on gate failure, roll back when
`generated = true`, then propagate the original gate error.

Tests:
- `rollback_removes_generated_env_key` — `.env` path, preserves siblings.
- `rollback_tolerates_missing_env_file` — idempotent (gate re-fires).
- `rollback_with_source_none_is_a_noop` — defensive against the never-
  actually-produced `generated=true + source=None` pair.
2026-04-19 20:38:21 +09:00
2026-02-04 22:09:52 -08:00
2026-02-22 19:08:43 +00:00
2026-02-22 19:08:43 +00:00
2026-02-21 15:14:57 -07:00
2026-04-09 14:18:30 +02:00
2026-04-09 14:18:30 +02:00
2026-04-09 14:18:30 +02:00
2026-04-09 14:18:30 +02:00

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 1.85+
  • 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.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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