1. Project Overview & Quickstart (nearai/ironclaw)
IronClaw
Quick Start
Choose an ironclaw-v* tag from the Releases page,
then install it on macOS, Linux, or Windows/WSL. Replace X.Y.Z with the
selected version, including any prerelease suffix:
IRONCLAW_RELEASE_TAG=ironclaw-vX.Y.Z
curl --proto '=https' --tlsv1.2 -LsSf \
"https://github.com/nearai/ironclaw/releases/download/${IRONCLAW_RELEASE_TAG}/ironclaw-installer.sh" | shThen run the guided setup:
ironclaw onboardChoose an LLM provider, enter its API key in the hidden prompt, and accept the
default model or enter another one. IronClaw provisions its local configuration,
encrypted credential store, and WebUI login token. On macOS and Linux it also
installs and starts the background service, then prints a link that opens the
WebUI.
Use ironclaw status to check the service and print the login link again.
Windows users can start the WebUI in the foreground with ironclaw serve.
See Installation for Windows installers and source builds.
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
The Releases page provides
pre-built binaries and installers.
Install via Windows Installer (Windows)
Open the selected ironclaw-v* release, downloadironclaw-x86_64-pc-windows-msvc.msi, and run it.
Install via PowerShell script (Windows)
$IronClawReleaseTag = "ironclaw-vX.Y.Z"
irm "https://github.com/nearai/ironclaw/releases/download/$IronClawReleaseTag/ironclaw-installer.ps1" | iexInstall via shell script (macOS, Linux, Windows/WSL)
IRONCLAW_RELEASE_TAG=ironclaw-vX.Y.Z
curl --proto '=https' --tlsv1.2 -LsSf \
"https://github.com/nearai/ironclaw/releases/download/${IRONCLAW_RELEASE_TAG}/ironclaw-installer.sh" | shBuild and install from source
Source builds require Rust 1.96+ and Node.js 22+ with Corepack/pnpm.
git clone https://github.com/nearai/ironclaw.git
cd ironclaw
corepack enable pnpm
cargo install --locked --path crates/app/ironclaw_cliConfiguration
ironclaw onboard is the primary configuration path. It writes Reborn state
under $HOME/.ironclaw/reborn by default, stores the selected LLM credential
in the encrypted local secret store, and preserves existing configuration when
it is run again.
Inspect the current setup with:
ironclaw status
ironclaw models status
ironclaw config listTo switch providers after onboarding, select the route and then store its API
key using the hidden prompt:
ironclaw models set-provider openai --model gpt-5-mini
ironclaw config set openai.api_keyAdditional settings use the same command. For example:
ironclaw config set google.client_id YOUR_CLIENT_ID
ironclaw config set google.client_secret
ironclaw config set google.redirect_uri YOUR_REDIRECT_URI
ironclaw config set webui.token --rotateSecret values never accept a positional argument; IronClaw prompts for them
without echoing the value. Channels such as Slack and Telegram have no
configuration-file settings and no CLI enablement key: install the extension
and complete its setup on the WebUI Extensions page, which is what makes the
route serve.
Configuration writes never restart the service automatically. Runironclaw service restart after a change that affects the running service,
and use ironclaw config set --help for the complete list of supported keys.
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 โโโบ Allowlist โโโบ Leak Scan โโโบ Credential โโโบ Execute โโโบ Leak Scan โโโบ 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 IronClaw's application state
- Secrets encrypted with AES-256-GCM
- No telemetry, analytics, or data sharing
- Full audit log of all tool executions
Architecture
/* Detailed source-code truncated for AI context efficiency. */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
# Check the background service and print the WebUI login link
ironclaw status
# Start an interactive terminal session
ironclaw repl
# Run one turn
ironclaw run --message "hello"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.
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.
2. Official Technical Reference & Guides (nearai/docs)
About
This repository contains the official documentation for NEAR AI Cloud, a platform offering developers access to secure, private, verifiable AI models through a unified API.
The site is built and hosted with Mintlify. Content is plain MDX; docs.json holds the navigation, branding, and site settings.
The API Reference tab is generated by Mintlify from api-reference/openapi.json, a vendored copy of the live spec. Refresh it with ./scripts/sync-openapi.py whenever the API changes.
Prerequisites
Before you begin, ensure you have the following installed:
- Node.js >= 20.0.0 (Download)
- Mintlify CLI:
npm i mint
Quick Start
Installation
# Clone the repository
git clone https://github.com/nearai/docs.git
cd docs
# Install the Mintlify CLI (once)
npm i mintLocal Development
# Start the local preview
mint devThis starts a local preview at http://localhost:3000. Changes are reflected live without restarting the server.
Validate
# Strict build validation (fails on warnings or errors)
mint validate
# Check for broken internal links
mint broken-linksRun both before opening a pull request; CI runs the broken-link check on every PR.
Available Commands
| Command | Description |
|---|---|
mint dev |
Start the local preview with hot reload |
mint validate |
Validate the build in strict mode |
mint broken-links |
Check for broken links |
mint update |
Update the Mintlify CLI |
Deployment
Mintlify deploys automatically from the main branch through the Mintlify GitHub App; every pull request gets a preview deployment. The production domain (docs.near.ai) is configured in the Mintlify dashboard.
Contributing
We welcome contributions to improve our documentation! Here's how you can help:
- Fork the repository
- Create a feature branch (
git checkout -b feature/amazing-improvement) - Make your changes and test locally (
mint dev) - Validate (
mint validate && mint broken-links) - Commit your changes (
git commit -m 'Add amazing improvement') - Push to the branch (
git push origin feature/amazing-improvement) - Open a Pull Request
Documentation Guidelines
- Use clear, concise language
- Include code examples where applicable
- Follow the existing documentation structure
- Test all code snippets before submitting
- Use proper markdown formatting
Documentation Standards
- Markdown Files: Use the
.mdxextension; a page's URL is its file path (e.g.,cloud/quickstart.mdxโ/cloud/quickstart) - Navigation: Add every new page to the
navigationtree indocs.json - Code Blocks: Include language identifiers for syntax highlighting; add a filename after the language for a title (
```yaml librechat.yaml) - Links: Use absolute paths for internal links (e.g.,
/cloud/quickstart) - Images: Store in
images/and reference with absolute paths (e.g.,/images/cloud.png) - Components: Use Mintlify's built-in components (
Card,CardGroup,Tabs,Accordion,Note/Tip/Warning, โฆ) rather than custom React - Integration guides: Follow the section contract in
.github/INTEGRATION_GUIDE_TEMPLATE.md
Bug Reports & Feature Requests
Found a bug or have a feature request? Please open an issue with:
- Clear title and description
- Steps to reproduce (for bugs)
- Expected vs actual behavior
- Screenshots (if applicable)
Links
- Documentation: https://docs.near.ai
- NEAR AI Cloud: https://cloud.near.ai
- GitHub: https://github.com/nearai/docs
- Issues: https://github.com/nearai/docs/issues
Support
Need help? Reach out through:
License
This project is licensed under the MIT License - see the LICENSE file for details.