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Hammad Abbasi Review

Hammad Abbasi Iris is an open-source AI operator that enhances Claude Code by proxying API requests, providing context, optimizing prompts, and securing execution.

shipped Aug 28, 2026codefree
Monthly visits4/mo
code
Hammad Abbasi — product screenshot

Why it matters

1Runs locally on 127.0.0.1 and is MIT licensed.
2Offers a free tier with usage pricing at $0.003 per 1K tokens.
3Provides control over tool access with Guard and records API call history.
4Enhances Claude Code with API proxying, context, prompt optimization, and secure execution.

About Hammad Abbasi

Business Model
Open Source
Usage Pricing
$0.003/1K tokens per token
Headquarters
127.0.0.1
Funding
Bootstrapped
Platforms
Web, Local
Target Audience
Developers and teams using Claude Code

Cost Examples

  • One turn, drawn to scale 7,225 tokens
  • 5,149 of those tokens are the fixed prefix

Leadership

Hammad AbbasiLinkedIn
API DocsGitHubOpen Source

Specs

API Available

Yes, public API

overview

What is Hammad Abbasi?

Hammad Abbasi Iris is an AI operator tool developed by Hammad Abbasi that enables developers and users working with Claude Code to enhance control and visibility over API usage. It inspects requests, allows modifications on tools visible to the model, evaluates tool calls, and records executed actions, running locally on 127.0.0.1.

features

Key Features of Hammad Abbasi

Hammad Abbasi Iris provides a suite of features designed to enhance the interaction with Claude Code, focusing on control, visibility, and optimization of API usage. Its local deployment on 127.0.0.1 ensures direct control over the operational environment.

  • Runs locally on 127.0.0.1, offering a self-hosted solution.
  • Open source and MIT licensed, allowing for transparency and customization.
  • Tracks and optimizes token usage, aiding in cost management.
  • Provides control over tool access with 'Guard' functionality.
  • Records API call history for auditing and analysis.
  • Inspects requests to and from Claude Code.
  • Allows modifications on tools visible to the model.
  • Evaluates tool calls before execution.
  • Records executed actions for a comprehensive log.

use cases

Who Should Use Hammad Abbasi?

Hammad Abbasi Iris is primarily designed for developers and teams utilizing Claude Code, offering specific functionalities to manage and optimize their AI interactions. Its capabilities are tailored for environments requiring granular control over AI agent behavior and API consumption.

  • Developers optimizing API calls for Claude Code to manage token usage and performance.
  • Teams monitoring tool use in real-time to ensure compliance and efficiency.
  • Users controlling access to tools within Claude Code for security and operational integrity.
  • Developers implementing guardrails for AI execution to prevent unintended actions.
  • Teams recording AI interactions for debugging, auditing, and performance analysis.

how to use

How to Use Hammad Abbasi

To begin using Hammad Abbasi Iris, users typically deploy the open-source component locally, configuring it to sit between Claude Code and Anthropic. The process involves setting up the local proxy and integrating it with existing AI workflows.

  • 1Download and install the open-source Iris control plane from GitHub.
  • 2Configure Iris to run locally on 127.0.0.1.
  • 3Integrate Iris as a proxy between Claude Code and Anthropic API endpoints.
  • 4Utilize the 'Guard' feature to define and enforce tool access policies.
  • 5Monitor API call history and token usage through the Iris interface.
  • 6Access API documentation at https://hammadabbasi.com/iris/docs for detailed setup and usage instructions.

pricing

Hammad Abbasi Pricing & Plans

Hammad Abbasi Iris operates on an open-source business model, making the core software freely available under an MIT license. While the software itself is free, usage-based costs are associated with the underlying token consumption when interacting with models like Claude Code.

  • Free: The core Iris software is free and open-source.
  • Usage Pricing: $0.003 per 1K tokens for API interactions.
  • Cost Examples: A single turn with 7,225 tokens, including a 5,149-token fixed prefix, incurs a specific usage cost.

Pros

  • +Runs locally on 127.0.0.1, providing direct control over the environment.
  • +Open-source and MIT licensed, ensuring transparency and customizability.
  • +Offers granular control over tool access and execution with 'Guard' functionality.
  • +Tracks and optimizes token usage, aiding in cost management for Claude Code interactions.
  • +Records detailed API call history and executed actions for auditing and debugging.
  • +Enhances Claude Code with specific features like API proxying and prompt optimization.

Cons

  • Requires local setup and management, which may be a barrier for some users.
  • Primarily focused on Claude Code, potentially limiting its applicability for other AI models.
  • Usage pricing for tokens applies, despite the software being free.
  • No readily available user reviews or testimonials for the educational content on the website.
  • The term 'Iris' can be ambiguous, referring to both the AI operator and Hammad Abbasi's biometric research.

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Hammad Abbasi Iris distinguishes itself in the AI tool ecosystem by focusing specifically on enhancing Claude Code interactions through a local, open-source proxy. Its competitive positioning is rooted in providing granular control and visibility directly within the developer's environment.

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