* feat(agent): thread per-tool reasoning from LLM through to REPL, HTTP, SSE, and DB Add end-to-end agent reasoning summaries so users can see *why* the agent chose specific tools, not just what it did. - Add `reasoning: Option<String>` to `ToolCall` (all providers) - Populate from LLM response content in `Reasoning::respond_with_tools` and `select_tools`, with per-tool override when providers supply it - Extend `Turn` with `narrative` and `TurnToolCall` with `rationale` + `tool_call_id` for identity-based result matching - Persist reasoning in DB via existing tool_calls JSON (no migration) - Add `StatusUpdate::ReasoningUpdate` and `SseEvent::ReasoningUpdate` + `SseEvent::JobReasoning` for real-time streaming - Emit reasoning events in both chat dispatcher and worker job path - Add `/reasoning [N|all]` command for inspecting turn reasoning - Surface `narrative` and `rationale` in HTTP `/api/chat/history` Based on the design from #361 and #456, reconstructed cleanly with Option<String> to minimize blast radius (vs mandatory String that broke compilation in #456). Closes #456 Co-Authored-By: panosAthDBX <[email protected]> Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]> * fix: address PR review feedback from Gemini and Copilot - Fix `_ => Ok(None)` in agent_loop.rs to avoid accidental shutdown - Fix fallback in record_tool_result_for/record_tool_error_for to use first pending call instead of last_mut (parallel execution safety) - Include per-tool decisions in WASM channel reasoning messages - Apply truncate_at_tool_tags + clean_response to shared_reasoning in select_tools (parity with respond_with_tools) - Persist turn-level narrative to DB in tool_calls JSON wrapper - Parse both old (array) and new (object) tool_calls formats in build_turns_from_db_messages for backward compatibility - Populate reasoning from action.reasoning in execute_plan ToolCalls [skip-regression-check] Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]> * fix: address second round of review comments + merge fixes - Add reasoning: None to new github_copilot.rs ToolCall sites (from staging merge) - Run cargo fmt on 4 files with formatting diffs - Truncate narrative to 1000 chars before DB persistence - Clone turn data and drop session lock in /reasoning command - Extract ToolDecisionDto::from_json_array shared helper (deduplicate worker/job.rs and orchestrator/api.rs) - Add unit tests for wrapped tool_calls JSON format with narrative [skip-regression-check] Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]> * fix: address third round of review comments (Copilot + serrrfirat) - Reword ToolCall.reasoning docstring to reflect provider-supplied or fallback contract - Sanitize narrative through SafetyLayer before storage/emission - Clean per-tool reasoning via truncate_at_tool_tags + clean_response in select_tools (parity with shared reasoning) - Convert 4 approval-path recording sites in thread_ops.rs to identity-based record_tool_result_for/record_tool_error_for - Preserve tool_call_id and reasoning through restore_from_messages - Fix has_result/has_error to reject JSON null values - Truncate tool_call_id to 128 chars before DB persistence - Add 4 unit tests for record_tool_result_for/error_for edge cases Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]> * fix: address zmanian review — sanitize JobDelegate reasoning + warn on dropped results - Sanitize narrative and per-tool rationale through SafetyLayer in JobDelegate reasoning events (parity with ChatDelegate) - Add tracing::warn when record_tool_result_for/error_for drops a result because no matching or pending tool call exists - Add 3 unit tests for reasoning normalization (thinking tags, tool tags, empty-after-cleaning) Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]> * fix: address 4 remaining unreplied review comments - Clean per-tool reasoning in respond_with_tools via truncate_at_tool_tags + clean_response (parity with select_tools) - Handle wrapped JSON format in rebuild_chat_messages_from_db so cold hydration works after persist_tool_calls format change - Update persist_tool_calls doc comment to describe new JSON shape - Sanitize per-tool rationale through SafetyLayer in ChatDelegate before emission and storage (parity with JobDelegate) Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]> * fix: address zmanian review round 2 - Add tracing::debug on fallback-to-pending path in record_tool_result_for and record_tool_error_for (item 1) - Add comment explaining why /reasoning is special-cased in agent_loop.rs (item 4) - Items 2 (narrative persistence), 3 (rationale sanitization), and 5 (catch-all fix) were already addressed in prior commits Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]> --------- Co-authored-by: panosAthDBX <[email protected]> Co-authored-by: Claude Opus 4.6 (1M context) <[email protected]>
IronClaw
Your secure personal AI assistant, always on your side
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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.
