Chisel AI

Description

Chisel AI is designed for solo founders and small teams who are building projects with AI agents. As codebases grow rapidly, it becomes challenging to keep track of all decisions and architectural intents. Chisel AI addresses this by providing a structured way to capture and preserve reasoning through specs and docs. The specs act as artifacts that capture intent, constraints, and implementation notes, making them accessible to both humans and AI agents. The docs serve as a permanent knowledge base, structured for easy retrieval and optimized for AI-ready schemas.

Chisel AI is currently in public alpha, inviting users to sign up for release notes. It offers a lifecycle-driven spec tracker, allowing users to manage features and decisions as local Markdown files. The platform is built in Rust, ensuring fast response times and efficient navigation through its terminal UI. Chisel AI supports a mode optimized for LLM context windows, making it compatible with various shell-capable agents.

The platform is open source, licensed under FSL-1.1, and converts to Apache 2.0 after two years. It is designed to be extended, allowing users to integrate it into scripts or AI agents using Machine Mode YAML output. Chisel AI is ideal for those who need to maintain decision memory and structured context, ensuring that projects scale without losing architectural intent.

Chisel AI's Core Features

• Text-first tools for shaping information

• Structured specs and docs for LLM use

• Preserves project reasoning and decision memory

• Lifecycle-driven spec tracker

• Markdown-first knowledge base

• Local SQLite index for full-text search

• Interactive terminal UI for developers

• Open source with FSL-1.1 license

How to use Chisel AI?

1. 1

   Configure: Set up Chisel AI with your project

2. 2

   Use: Capture specs and docs for AI agents

3. 3

   Retrieve: Utilize full-text search for knowledge

4. 4

   Extend: Integrate with scripts using YAML output

Chisel AI's Use Cases

• Project management
• AI agent integration
• Knowledge preservation
• Decision tracking
• Fast retrieval

FAQ from Chisel AI

• What is Chisel AI?

  Chisel AI offers text-first tools for solo founders and small teams building with AI agents, preserving project reasoning through structured specs and docs.

• How does Chisel AI help with decision memory?

  Chisel AI preserves decision memory by capturing specs alongside code, preventing loss in Slack threads and closed PRs.

• What is the spec lifecycle in Chisel AI?

  Chisel AI manages the spec lifecycle from draft to archived, ensuring specs remain relevant and updated.

• How does Chisel AI optimize for AI agents?

  Chisel AI supports a mode optimized for LLM context windows, making it compatible with various shell-capable agents.

• Is Chisel AI open source?

  Yes, Chisel AI is open source, licensed under FSL-1.1, and converts to Apache 2.0 after two years.

• What is the Chisel AI knowledge base?

  The Chisel AI knowledge base is markdown-first and structured for easy retrieval, serving as a permanent project memory.

• How fast is Chisel AI?

  Chisel AI is built in Rust for sub-10ms latency, ensuring fast response times on massive datasets.

• Can Chisel AI be extended?

  Yes, Chisel AI can be extended using Machine Mode YAML output to integrate with scripts or AI agents.