# AIL Context Compressor

> Portable context handovers between AI chats and agents

- Page: https://www.whatwemade.app/p/ail-context-compressor
- What it is: MCP server (also CLI), for engineering
- Made by: [Jilu Dileep Kumar](https://www.whatwemade.app/u/jiludkumar-therealone)
- Run it yourself: get the code and run your own copy
- Website: https://jiludkumar-therealone.github.io/ail-context-compressor/index.html
- Code: https://github.com/jiludkumar-therealone/ail-context-compressor (MIT, 1 stars)
- Languages: English
- Tags: agent-skills, ai-agents, claude-skills, context-compression, llm-tools
- Upvotes: 1, comments: 0

## About

AILv1 is a free, MIT-licensed text format and small Python tool for creating structured context snapshots to pass between AI chats and agents. It includes an encoder, a parse-only decoder, a Python ast signature extractor, a CLI, an MCP server, an Agent Skill and a prompt-only option that needs no install.

Snapshots can keep recurring names as pointers, context and data flow, rejected approaches and why they failed, code signatures with state mutations, and next tasks. The Python encoder redacts secrets by default; the prompt-only version is best-effort and can miss details or secrets.

The decoder only parses and never runs anything, but that does not stop prompt injection: a snapshot can carry text written to steer a model. Treat decoded text as untrusted data, and check for secrets before sharing.

## How it was made

- Grok, 100% of the work
- Cursor, 45% of the work
- Gemini, 20% of the work
- Stack: Python, MCP SDK

## What you need to run it

- Tools: Python 3.10+, mcp Python package (optional)

Shared on WhatWeMade: https://www.whatwemade.app/p/ail-context-compressor