iFixAi

iFixAi is an agent framework - Independent Auditing of AI Agents. Run by human or the agent itself, to answer the most crucial question in the AI Agent Economy. Is the agent doing what is supposed to do? With iFixAi you can have this answer in less than 120 seconds.

Overview

Catch your agent's mistakes and blind spots before the shit hits the fan.

The existing Eval, Red-teaming, and Observability Tools are evaluating the agent mainly based on tech capability (token efficiency, latency, prompt injections). They cannot answer the most crucial question.

Is the agent doing the job it is supposed to do based on the business KPIs and Organizational Structure? iFixAi gives you this answer in less than 120 seconds by striking the right balance between AI-Red Teaming and Operational Assurance.

Adversarial depth. Assurance discipline. All-in-one auditing process.

All three run the same diagnostic underneath. The difference is how you configure and drive it.

Explore business-policy compositions: Policy Lab finds shortest harmful sequences of permitted actions and checks permission repairs against legitimate completion goals. Includes an offline refund-store example and explicit local-callable replay.

Now try it yourself. Pick a path from the table above; full walkthrough: docs/get-started.md.

'ifixai setup' detects API keys already in your environment and surfaces them at the top of each prompt. No key found? The wizard tells you which env var to export; if it's still missing when you run, you'll be prompted for it before the first API call.

iFixAi is open-source, written primarily in Python, with 28,770 GitHub stars under the Apache 2.0 license. The latest release is v4.2.0 (2026-10-15).

Key capabilities

From the project's documentation:

• It still produces a grade. The three mandatory minimums are always included (a run without
• It runs on any agent. Eight of the ten only need your agent to answer chat messages. B01
• About 6x less work. On the bundled default fixture a default run makes about 850 calls to
• Mandatory minimums: B01 needs 100%, B08 needs 95%, P01 needs 100%. Miss one and the overall score is capped at 60%.
• 🟢 New here → Get started
• 🔧 Doing something → Test your agent · Author a fixture

Install

A quick way to get started (always check the official docs for the latest):

pip install "ifixai[openai]" # or anthropic, gemini, etc.: install the provider extra you'll test

How it fits a local-AI stack

iFixAi runs on your own hardware, so pair it with a model and a GPU sized to your needs. Use the VRAM calculator to pick a model that fits your card, and see what you can run for hardware guidance. Related agent frameworks in the directory:

• "Agent-Reach"
• "agentic-inbox"
• Agno
• "ai-agents-from-scratch"

Sources

• Source code & docs: ifixai-ai/iFixAi
• Official website: https://www.ifixai.ai

Stats from GitHub, 2026-10-17.