dozybot001

dozybot001 / Intent

Public

Semantic history for agent-driven development. Records what you did and why.

10
0
100% credibility
Found Mar 20, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
Python
AI Summary

Intent provides semantic history for code projects by tracking goals, interactions, and decisions in a structured way that complements traditional version control.

How It Works

1
🕵️ Discover Intent

You learn about Intent while working on your code project and wanting to remember not just changes, but the goals and reasons behind them.

2
📥 Set it up

You easily add the tracking feature to your project folder so it starts capturing your thoughts.

3
🎯 Create your first goal

You write down a clear goal for what you want to accomplish, and it becomes the heart of your project's story.

4
📝 Log your actions

As you experiment and get ideas from helpers, you quickly note each step, summary, and feedback to build a trail.

5
💡 Capture decisions

You record key choices that shape your path, linking them automatically to keep everything connected.

6
👥 Share with others

You connect to a shared space to sync your history, letting teammates see the full picture.

📖 Relive your journey

Now anytime, you open a simple view of your project's complete story—what you aimed for, did, and decided—making handoffs smooth and context clear.

Sign up to see the full architecture

5 more

Sign Up Free

Star Growth

See how this repo grew from 10 to 10 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is Intent?

Intent is a Python CLI tool (itt) that layers semantic history over Git for agent-driven development, capturing what you did and why via three objects: intents (goals from queries), snaps (agent query-response pairs with feedback), and decisions (persistent constraints). Install via pipx, run itt init in a repo to create a .intent/ dir, then use commands like itt intent create "refactor auth" or itt snap create "fixed login bug" --intent auth-refactor. It auto-links objects bidirectionally and syncs to IntHub, a local server with web UI for browsing.

Why is it gaining traction?

Unlike github semantic release or semantic versioning tools focused on commits, Intent tackles intent recognition github-style, tracking agent rationale like google semantic history—filling Git's "why" gap. The hook: effortless handoffs via itt hub sync to a self-hosted IntHub (Docker-ready, API-driven), with views for active intents/decisions and search. Agents learn via npx skills add, making context resilient across sessions.

Who should use this?

AI agent wranglers building with tools like Cursor or Claude Dev, needing to distill decisions from chaotic sessions. Teams handing off agent work, like backend devs constraining frontend refactors. Solo coders logging intentional progress beyond vague commit messages.

Verdict

Promising for agent-driven workflows (solid docs, roadmap, dogfooding examples), but early-stage at 10 stars and 1.0% credibility—test in a side repo first. Pairs well with github semantic kernel experiments if you're betting on AI coding.

(198 words)

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.