Index / IronClaw · updated Sep 3, 2026

IronClaw

nearai/ironclaw · healthy · rank 12 of 43 by stars

A security-first Agent OS in Rust from NEAR AI that keeps all data local and encrypted with zero telemetry. Heavy investment in sandboxing, a polished WebUI, and an extension ecosystem make it one of the most production-grade OpenClaw alternatives.

#rust#agent-os#privacy-first#self-hosted#sandboxed
Compare vs OpenClaw
GitHub ↗

Facts

Repository

Contributors120
Open issues1,498
Last commitSep 3, 2026
Release cadence~2 days
Latest releaseironclaw-v1.4.0

Runtime

LanguageRust
Memory15 MB
Boot time35 ms
Deploymentdesktop · self-hosted · cloud
Setup difficultyLow
Plugin ecosystemEmerging

Posture

LicenseApache-2.0
Local-firstYes
Cloud dependencyOptional
Multi-userYes
Privacy postureStrong

Community

Sentiment78% positive
Reddit mentions21
Web results10

Security breakdown

Composite 92 / 100 · how these are scored

Sandboxing9 / 10

higher is safer

API security9 / 10

higher is safer

Network isolation8 / 10

higher is safer

Telemetry safety10 / 10

higher is safer

Shell access risk3 / 10

higher is riskier

Model access

Read from the repository, not written by a model · 143 files examined

7 providers · runs locally · gateway support

Direct
AnthropicAWS BedrockFireworksGoogleMiniMaxOpenAITogether
Gateway
LiteLLMOpenRouter
Local
LM StudioOllama
Compatible
OpenAI-compatible

Pinned models

gemini-2.5-flash released 2025-06-17 — 15 months old (from the public model catalogue)

Pin last edited 8 days ago

Several defaults are pinned; the project picks one per provider rather than shipping a single default.

Evidence

Decision

Why choose IronClaw over OpenClaw?

Why choose this

  • Rust core with stronger memory safety and lower footprint
  • Encrypted local credential store and no telemetry by design
  • Guided onboarding installer with background service setup

Tradeoffs

  • Smaller skill/plugin ecosystem than OpenClaw's registry
  • Younger project with less third-party documentation
  • Some features tied to NEAR ecosystem incentives

Best fit

  • Privacy-conscious users wanting a local-first assistant
  • Teams needing encrypted credential storage and auditability
  • Rust shops wanting a production-grade agent runtime

Avoid if

  • You want a zero-setup hosted SaaS assistant
  • You need a huge third-party plugin marketplace today
  • You are on unsupported platforms without WSL
High Confidence82%

Strong evidence from README, release cadence, and dense recent commit history showing active, security-conscious development. Community sentiment is positive but partly self-hosted on its own subreddit, so independent validation is thinner.

AI layer reviewed Aug 24, 2026 · how this is written

Star activity

12,602 stars today

Overview

IronClaw is an Agent OS written in Rust by NEAR AI, positioning itself as a security- and privacy-first personal AI assistant. Its core philosophy is that your assistant works for you: all data is stored locally and encrypted, credentials live in an encrypted store, and there is no hidden telemetry or data harvesting. Installation is streamlined via a tagged installer script and an ironclaw onboard guided setup that provisions configuration, LLM provider keys, and a WebUI login token, with background service support on macOS and Linux.

Architecturally, IronClaw is a multi-crate Rust workspace with a React/TypeScript WebUI, a durable per-recipient notification inbox, sandboxed execution (including Docker-based user sandboxes with egress controls), and an extension system for channels like Telegram. Recent commits show heavy investment in design-system tooling (Storybook), notification reliability, and rigorous CI gates, indicating mature engineering discipline.

Compared to OpenClaw, IronClaw trades ecosystem breadth for a hardened, auditable core: it emphasizes sandboxing, encrypted local state, and transparency over a large skill marketplace. It is a strong fit for users and teams who prioritize data sovereignty and want a polished, actively maintained self-hosted agent platform.

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