* feat: multi-tenant auth with per-user scoping Multi-user authentication and authorization for IronClaw gateway: - Token-based auth mapping tokens to user IDs via GATEWAY_USER_TOKENS - Per-user SSE broadcast scoping - Per-user rate limiting with poisoned lock recovery - Handler auth and ownership checks for jobs, settings, routines - Extension secrets scoped per-user - Chat handlers use authenticated identity - Reverse proxy deployment documentation - Comprehensive integration tests for auth, SSE, rate limiting, and job isolation * fix: scope memory tools per-user in multi-tenant mode Memory tools (search, write, read, tree) held a single workspace created at startup with GATEWAY_USER_ID. In multi-tenant mode, all users' tool calls searched the default user's scope. Add WorkspaceResolver trait that resolves workspaces per-request using JobContext.user_id. In single-user mode, returns the startup workspace. In multi-tenant mode (GATEWAY_USER_TOKENS configured), creates and caches per-user workspaces on demand. Includes regression tests for workspace resolution and user isolation. Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]> * fix: comprehensive multi-tenant isolation audit Address all review findings from @serrrfirat plus 7 additional gaps found via full security audit: Reviewer findings (5): - WorkspacePool now applies search config, memory layers, embedding cache, identity read scopes, and global config scopes (was bare) - jobs_summary_handler uses per-user queries instead of global counters - jobs_prompt_handler restructured to not 404 agent jobs + ownership check - jobs_restart_handler agent branch now verifies user ownership - agent_job_summary_for_user added to Database trait + both backends Audit findings (7): - Delete dead handlers/memory.rs (stale copies with no auth) - Add AuthenticatedUser to logs_events, logs_level_get, logs_level_set - Add AuthenticatedUser to extensions_tools_handler, gateway_status_handler - Add auth + ownership checks to all 6 routines handlers - Add auth to all 4 skills handlers with audit logging on mutations - Scope extension setup SSE broadcast to user (broadcast_for_user) - Fix pre-existing test compilation errors in extensions/manager.rs 17 new multi-tenant isolation tests covering: - WorkspacePool config propagation and scope merging - Jobs handler per-user isolation (summary, restart, prompt, cancel) - Routines handler auth enforcement and cross-user rejection - Auth middleware enforcement on logs, skills, status endpoints Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]> * fix: second-pass multi-tenant audit — scope SSE broadcasts, DB queries, dead handlers Second audit pass applying learned patterns across the codebase: - OAuth callback SSE broadcasts now use broadcast_for_user (lines 773, 912) - jobs_list_handler uses list_agent_jobs_for_user instead of fetching all users' jobs and filtering in Rust - list_agent_jobs_for_user added to Database trait + postgres + libsql - Dead handler files (extensions.rs, static_files.rs) hardened with AuthenticatedUser to prevent auth regression if migrated Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]> * fix: address review findings — token hashing, broadcast scoping, error handling Security fixes: - Hash tokens with SHA-256 at construction time so authentication compares fixed-size 32-byte digests, eliminating length-oracle timing leaks - Scope auth SSE broadcasts per-user in chat_auth_token_handler — AuthRequired/AuthCompleted events were leaking across tenants - Propagate DB errors in restart handlers instead of silently swallowing via `if let Ok(Some(...))` pattern Code quality: - Log SSE serialization failures instead of silently producing empty strings via unwrap_or_default() - Remove dead `pub type AuthState = MultiAuthState` alias - Replace `.unwrap()` with `Arc::clone(db)` in app.rs multi-tenant workspace setup (db is guaranteed Some in context, but unwrap violates project convention) - Fix telegram setup test to inject UserIdentity into request extensions (handler now requires AuthenticatedUser) - Add safety comments on test-only expect/unwrap calls for CI - Apply cargo fmt to fix pre-existing formatting Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]> * fix: address review findings — unify workspace pool, fix SSE regression, cache job owners - Unify WorkspacePool and PerUserWorkspaceResolver: WorkspacePool now implements WorkspaceResolver, eliminating duplicate per-user workspace construction logic. app.rs uses WorkspacePool directly. - Fix sse_tx: None scheduler regression: change scheduler/worker SSE broadcasting from broadcast::Sender<SseEvent> to Arc<SseManager>, restoring SSE event delivery for scheduled agent jobs. - Cache job owner in orchestrator: add job_owner_cache to OrchestratorState so job_event_handler avoids a DB round-trip on every event after the first per job. - Deduplicate ext_user_id computation in main.rs. - Remove unused _gateway_state variable. - Fix pre-existing test: first_token() returns None in multi-user mode by design; align test assertion. Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]> * style: fix formatting in app.rs Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]> * refactor: extract memory handlers back into handlers/memory.rs Move memory API handlers out of server.rs into their own module, consistent with how jobs, routines, and skills handlers are organized. The resolve_workspace() helper moves with them since it is only used by memory handlers. Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]> --------- Co-authored-by: Claude Opus 4.6 (1M context) <[email protected]> Co-authored-by: [email protected] <[email protected]>
IronClaw
Your secure personal AI assistant, always on your side
English | 简体中文 | Русский | 日本語
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/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.
