* feat: add libSQL/Turso database backend with full feature parity Introduce a Database trait abstraction (~60 async methods) enabling compile-time backend selection between PostgreSQL and libSQL/Turso. Convert all modules from concrete Store to Arc<dyn Database>, add LibSqlSecretsStore and LibSqlWasmToolStore implementations, wire libsql stores throughout CLI and main entry points, and make the setup wizard backend-agnostic. Key changes: - src/db/: Database trait, PostgresDatabase adapter, LibSqlBackend with native SQLite-dialect SQL, and idempotent migration system - src/secrets/store.rs: LibSqlSecretsStore (all 8 trait methods) - src/tools/wasm/storage.rs: LibSqlWasmToolStore (all 7 trait methods) - src/main.rs, cli/tool.rs, cli/mcp.rs: backend-conditional wiring - src/setup/channels.rs: SecretsContext uses Arc<dyn SecretsStore> - Feature-gate postgres-only tests and examples Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: enable onboarding wizard for libSQL builds Refactor the setup wizard to work with both postgres and libsql feature flags. Previously the wizard was gated behind #[cfg(feature = "postgres")] only, so libsql-only builds would print an error on `ironclaw onboard`. - Add libsql fields to Settings (database_backend, libsql_path, libsql_url) - Split wizard database/migration/secrets methods into feature-gated variants - Add step_database_libsql() with local path and Turso remote replica prompts - Update setup/mod.rs and main.rs feature gates to any(postgres, libsql) - Extend check_onboard_needed() to detect libsql database presence Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address PR review feedback for libSQL backend - P0: Switch libsql_backend to connection-per-operation pattern to fix shared Connection concurrency issue across tokio tasks - P0: Wrap secrets store INSERT+SELECT in transaction to fix TOCTOU race - P0: Document encryption-at-rest limitations and json_patch divergence - P1: Fix get_opt_text removing .filter(|s| !s.is_empty()) that conflated empty strings with NULL - P1: Replace datetime('now') with fmt_ts(&Utc::now()) for consistent RFC 3339 timestamps across all queries - P2: Use explicit _rowid column in FTS5 triggers and joins for stability across VACUUM operations - P2: Add tracing::warn when embedding provided but vector search disabled in hybrid_search - Extract shared connect_from_config() helper to deduplicate DB connection logic across main.rs, cli/config.rs, and cli/mcp.rs Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: add missing JobContext fields and resolve fmt/clippy warnings Add total_tokens_used and max_tokens fields to JobContext in libsql_backend.rs, apply cargo fmt, and fix clippy warnings. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: review fixes for libSQL backend (shared connections, panics, indexes) - Replace .expect() with proper error propagation in 3 call sites - Share Arc<Database> between backend and stores instead of single Connection - Add connect-per-operation pattern to LibSqlSecretsStore and LibSqlWasmToolStore - Wrap store() INSERT + SELECT-back in a transaction - Add ~22 missing indexes for parity with PostgreSQL schema - Add 18 leak_detection_patterns seed rows matching PostgreSQL V2 migration - Fix super:: import to use crate:: style - Gate mask_password_in_url behind #[cfg(feature = "postgres")] - Rewrite secrets store init with or_else chain for runtime backend selection Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: Resolve clippy lints (collapsible_if, too_many_arguments) Collapse nested if blocks into let_chains to satisfy clippy's collapsible_if lint (CI uses -D warnings). Suppress too_many_arguments on libsql_row_to_tool_at since refactoring the positional index pattern would be a larger change. Co-Authored-By: Claude Opus 4.6 <[email protected]> --------- Co-authored-by: Claude Opus 4.6 <[email protected]> Co-authored-by: Illia Polosukhin <[email protected]>
IronClaw
Your secure personal AI assistant, always on your side
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
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). All settings are saved to
~/.ironclaw/settings.toml.
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.
