AI-FW
AI-FW is a self-hosted gateway that inspects, governs, and audits prompts from AI agents for companies running their own AI traffic.
What it is good for
- Inspecting prompts and responses for sensitive data before they reach AI models
- Controlling which AI agents can call which models and tools
- Keeping an audit log of AI agent activity for compliance reviews
- Cutting AI costs by caching and compressing repeated prompts
At a glance
- Who it is for
- Setup
- Guided command-line setup
Level 4 of 5. You copy and paste commands into a terminal by following the instructions. Comfortable territory for vibe coders.
- Cost
- Not stated
- Type
- Agent app
- Tasks
- Works with
- Claude Code, Cursor, MCP, PostgreSQL, Microsoft 365 Copilot
Momentum
- Rank this week
- Not ranked yet
- Best rank
- None yet
- GitHub stars
- 454
GitHub numbers as of Nov 2, 2026. Updated weekly.
Official links
Setup steps are on the official pages. We do not repeat them here, since they change.
Questions
- Do I need to know how to code to use AI-FW?
- You do not need to write code, but setup means copying and pasting commands into a terminal by following its instructions.
- What does AI-FW work with?
- According to its own documentation, it works with Claude Code, Cursor, MCP, PostgreSQL, and Microsoft 365 Copilot.
- What is AI-FW good for?
- Inspecting prompts and responses for sensitive data before they reach AI models, controlling which AI agents can call which models and tools, keeping an audit log of AI agent activity for compliance reviews, and cutting AI costs by caching and compressing repeated prompts.
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