Trellis
AI agentsTrellis is an out-of-the-box engineering framework for AI programming developed by Mindfold, hosted on GitHub (mindfold-ai/Trellis). It addresses the problem that AI writes code quickly but every session starts from scratch, not remembering project conventions and team requirements: by persisting specs, tasks, and memory into the code repository, it makes any coding agent work according to your engineering standards. Its workflow is a four-stage closed loop—Plan (trellis-brainstorm asks questions step by step and generates prd.md), Implement (the trellis-implement sub-agent writes code), Verify (the trellis-check sub-agent reviews against the specs and runs lint, type checking, and tests), and Finish (trellis-update-spec writes new experience back to .trellis/spec/). Users only need to describe requirements in natural language, let the AI gradually sort out the PRD, and then have the AI call Trellis Implement to automatically verify the results. After completion, enter /trellis:finish-work to archive the task and update the log. Trellis is a project layer across multiple coding agents and IDEs. Individual developers can rely on its memory and repeatable process, while teams gain shared standards, task boundaries, reviewable context, and platform portability. It uses the AGPL-3.0 license, and the official offering provides entry points for Simplified Chinese, documentation, quick start, supported platforms, and use cases.