Ironclaw — AI Agent Framework: Live Stats & TrendScore

Live GitHub stats, community sentiment, and trend data for Ironclaw. TrendingBots tracks star velocity, fork activity, and what developers are saying — updated from real data sources.

GitHub data synced: May 5, 2026 • Sentiment updated: May 7, 2026

GitHub Statistics

Community Sentiment

Community Buzz: IronClaw is the secure agent harness for the age of always-on AI, as tweeted by a user on X/Twitter, and 'Building with IronClaw' was discussed on Reddit r/ironclawAI

Pros & Cons

What People Love

Secure isolation between users, Flexibility in deployment

Common Complaints

Buggy E2E tests, Limited documentation

Biggest Positive: Secure AI agent

Biggest Negative: Buggy E2E tests

Why Ironclaw Stands Out

IronClaw stands out from other AI assistant projects due to its strong focus on privacy and security, as evident from its features like local data storage, encryption, and defense-in-depth security measures. Its dynamic tool building and plugin architecture also make it highly extensible and adaptable to various use cases. By providing a self-expanding AI toolset, IronClaw empowers users to build custom AI solutions without relying on vendor updates. Overall, IronClaw's unique approach to AI assistant development makes it an attractive choice for users prioritizing security and flexibility.

Built With

Build a secure personal AI assistant that stores data locally — IronClaw's focus on privacy and security enables this through features like local data storage and encryption, Build a multi-channel AI interface for various platforms — IronClaw's support for REPL, HTTP webhooks, WASM channels, and web gateways makes this possible, Build a self-expanding AI toolset with dynamic capabilities — IronClaw's dynamic tool building and plugin architecture enable users to extend its capabilities, Build an AI system with defense-in-depth security measures — IronClaw's implementation of WASM sandbox, credential protection, and prompt injection defense provides a robust security framework, Build a highly available AI assistant with automated recovery — IronClaw's heartbeat system, parallel jobs, and self-repair mechanisms ensure high uptime and reliability

Getting Started

  1. Install IronClaw using the Windows Installer or by running `irm https://github.com/nearai/ironclaw/releases/latest/download/ironclaw-installer.ps1 | iex` in PowerShell
  2. Create a database using `createdb ironclaw` and enable the pgvector extension with `psql ironclaw -c "CREATE EXTENSION IF NOT EXISTS vector;"`
  3. Run the setup wizard with `ironclaw onboard` to configure IronClaw and connect to the database
  4. Configure alternative LLM providers if needed, using the built-in support for multiple providers
  5. Try running `ironclaw` with a sample query to verify it works and explore its features

About

IronClaw is an Agent OS focused on privacy, security and extensibility

Official site: https://www.ironclaw.com

Category & Tags

Category: security

Tags: codeact, openclaw, rlm, rust, wasm

Market Context

Competing with other AI agents in the market