4c043bf057 feat: complete multi-tenant isolation — phases 2–4 (#1614)
* feat: complete multi-tenant isolation — per-user budgets, model selection, heartbeat cycling

Finishes the remaining isolation work from phases 2–4 of #59:

Phase 2 (DB scoping): Fix /status and /list commands to use _for_user
DB variants instead of global queries that leaked cross-user job data.

Phase 3 (Runtime isolation): Per-user workspace in routine engine's
spawn_fire so lightweight routines run in the correct user context.
Per-user daily cost tracking in CostGuard with configurable budget via
MAX_COST_PER_USER_PER_DAY_CENTS. Multi-user heartbeat that cycles
through all users with routines, auto-detected from GATEWAY_USER_TOKENS.

Phase 4 (Provider/tools): Per-user model selection via preferred_model
setting — looked up from SettingsStore on first iteration, threaded
through ReasoningContext.model_override to CompletionRequest. Works
with providers that support per-request model overrides (NearAI).

Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>

* fix: use selected_model setting key to match /model command persistence

The dispatcher was reading "preferred_model" but the /model command
(merged from staging) persists to "selected_model". Since set_setting
is already per-user scoped, using the same key makes /model work as
the per-user model override in multi-tenant mode.

Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>

* fix: heartbeat hygiene, /model multi-tenant guard, RigAdapter model override

Three follow-up fixes for multi-tenant isolation:

1. Multi-user heartbeat now runs memory hygiene per user before each
   heartbeat check, matching single-user heartbeat behavior.

2. /model command in multi-tenant mode only persists to per-user
   settings (selected_model) without calling set_model() on the shared
   LlmProvider. The per-request model_override in the dispatcher reads
   from the same setting. Added multi_tenant flag to AgentConfig
   (auto-detected from GATEWAY_USER_TOKENS).

3. RigAdapter now supports per-request model overrides by injecting the
   model name into rig-core's additional_params. OpenAI/Anthropic/Ollama
   API servers use last-key-wins for duplicate JSON keys, so the override
   takes effect via serde's flatten serialization order.

Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>

* fix: address PR review — cost model attribution, heartbeat concurrency, pruning

Fixes from review comments on #1614:

- Cost tracking now uses the override model name (not active_model_name)
  when a per-user model override is active, for accurate attribution.
- Multi-user heartbeat runs per-user checks concurrently via JoinSet
  instead of sequentially, preventing one slow user from blocking others.
- Per-user failure counts tracked independently; users exceeding
  max_failures are skipped (matching single-user semantics).
- per_user_daily_cost HashMap pruned on day rollover to prevent
  unbounded growth in long-lived deployments.
- Doc comment fixed: says "routines" not "active routines".

Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>

* fix: /status ownership, model persistence scoping, heartbeat robustness

Addresses second round of PR review on #1614:

- /status <job_id> DB path now validates job.user_id == requesting user
  before returning data (was missing ownership check, security fix).

- persist_selected_model takes user_id param instead of owner_id, and
  skips .env/TOML writes in multi-tenant mode (these are shared global
  files). handle_system_command now receives user_id from caller.

- JoinSet collection handles Err(JoinError) explicitly instead of
  silently dropping panicked tasks.

- Notification forwarder extracts owner_id from response metadata in
  multi-tenant mode for per-user routing instead of broadcasting to
  the agent owner.

Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>

* fix: cost pricing, fire_manual workspace, heartbeat concurrency cap

Round 3 review fixes:

- Cost tracking passes None for cost_per_token when model override is
  active, letting CostGuard look up pricing by model name instead of
  using the default provider's rates (serrrfirat).

- fire_manual() now uses per-user workspace, matching spawn_fire()
  pattern (serrrfirat).

- Removed MULTI_TENANT env var — multi-tenant mode is auto-detected
  solely from GATEWAY_USER_TOKENS presence (serrrfirat + Copilot).

- Multi-user heartbeat capped at 8 concurrent tasks to avoid flooding
  the LLM provider (serrrfirat + Copilot).

- Fixed inject_model_override doc comment accuracy (Copilot).

- Added comment explaining multi-tenant notification routing priority
  (Copilot).

Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>

* feat: user-scoped webhook endpoint for multi-tenant isolation

Adds POST /api/webhooks/u/{user_id}/{path} — a user-scoped webhook
endpoint that filters the routine lookup by user_id, preventing
cross-user webhook triggering when paths collide.

The existing /api/webhooks/{path} endpoint remains unchanged for
backward compatibility in single-user deployments.

Changes:
- get_webhook_routine_by_path gains user_id: Option<&str> param
- Both postgres and libsql implementations add AND user_id = ? filter
  when user_id is provided
- New webhook_trigger_user_scoped_handler extracts (user_id, path)
  from URL and passes to shared fire_webhook_inner logic
- Route registered on public router (webhooks are called by external
  services that can't send bearer tokens)

Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>

* feat: add TenantCtx for compile-time tenant isolation

Implements zmanian's architectural proposal from #1614 review:
two-tier scoped database access (TenantScope/AdminScope) so handler
code cannot accidentally bypass tenant scoping.

TenantScope (default): wraps user_id + Arc<dyn Database>, auto-binds
user_id on every operation. ID-based lookups return None for cross-
tenant resources. No escape hatch — forgetting to scope is a compile
error.

AdminScope (explicit opt-in): cross-tenant access for system-level
components (heartbeat, routine engine, self-repair, scheduler, worker).

TenantCtx bundles TenantScope + workspace + cost guard + per-user
rate limiting. Constructed once per request in handle_message, threaded
through all command handlers and ChatDelegate.

Key changes:
- New src/tenant.rs (~920 lines): TenantScope, AdminScope, TenantCtx,
  TenantRateState, TenantRateRegistry
- All command handlers: user_id: &str → ctx: &TenantCtx
- ChatDelegate: cost check/record/settings via self.tenant
- System components: store field changed to AdminScope
- Config: TENANT_MAX_LLM_CONCURRENT, TENANT_MAX_JOBS_CONCURRENT env vars
- Fixes bug: /status <job_id> cross-tenant leak (now auto-filtered)

Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>

---------

Co-authored-by: Claude Opus 4.6 (1M context) <[email protected]>
2026-03-25 17:24:48 -07:00
2026-02-04 22:09:52 -08:00
2026-02-11 08:31:25 +00:00
2026-03-16 21:39:47 -07:00
2026-02-22 19:08:43 +00:00
2026-02-22 19:08:43 +00:00
2026-02-21 15:14:57 -07:00
2026-03-18 11:34:19 -07:00
2026-03-18 11:34:19 -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

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/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.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.

S
Description
IronClaw is OpenClaw inspired implementation in Rust focused on privacy and security
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