@cuisitekp: Those who have been using Claude Code or Codex for projects for a long time should really try installing Trellis. It's not an exaggeration to say it's the closest solution to "making AI remember your project" right now. Many people find that AI becomes increasingly unreliable over time, and their first reaction is to switch to a more powerful model or pile on longer prompts...

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Summary

Trellis is an open-source engineering framework that persists project context, specs, tasks, and memory into a repository, enabling AI coding agents to remember conventions and progress across sessions. It integrates with 14 AI coding platforms and aims to solve the problem of AI forgetting project context, improving development workflow for teams and individuals.

Those who have been using Claude Code or Codex for projects for a long time should really try installing Trellis. It's not an exaggeration to say it's the closest solution to "making AI remember your project" right now. Many people find that AI becomes increasingly unreliable over time, and their first reaction is to switch to a more powerful model or pile on longer prompts. But the problem often isn't the model—it's that the AI comes in with a "blank brain" every time: project structure, naming conventions, tech choices, where you left off—all have to be fed from scratch again. Trellis completely fixes this. It creates a `.trellis/` directory in your project, where it stores conventions, tasks, progress, and lessons learned, all versioned along with your code. Next time the AI starts, it reads these first and knows what rules to follow, how far you've gone, and what to do next. It's like giving the project a "permanent memory"—no matter who takes over, the flow won't break. And it doesn't just help you inject context; it's a complete development workflow: first, clarify requirements, then write code, then self-check against your conventions and tests, and finally write back the experience from this round—so it gets smarter next time. There are two other features many haven't used: for complex tasks, it can split them up and run several parallel agents without interfering with each other; and when a team defines conventions, all the team's AIs follow them, so a new member inherits everything seamlessly. It's also tool-agnostic—Claude Code, Codex, Cursor, and 14 other AI coding platforms are all supported. Using AI raw is like hiring a smart temp worker who loses memory every day. With Trellis, it starts to feel like a development team that remembers and follows the rules. Open source, currently with 9000+ stars and 5000+ weekly downloads. GitHub: http://github.com/mindfold-ai/Trellis...
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An out-of-the-box engineering framework for AI coding. AI writes code fast, but every session it starts from scratch — no memory of your project, your conventions, or your team’s requirements. Trellis persists specs, tasks, and memory into your repo, so any coding agent works to your engineering standards.

Simplified Chinese • Docs • Quick Start • Supported Platforms • Use Cases

Official Repository • AGPL-3.0 License • Built by Mindfold

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