Trellis — AI Agent Framework: Live Stats & TrendScore

Live GitHub stats, community sentiment, and trend data for Trellis. TrendingBots tracks star velocity, fork activity, and what developers are saying — updated from real data sources.

GitHub data synced: Jun 25, 2026 • Sentiment updated: Jun 19, 2026

GitHub Statistics

Community Sentiment

Community Buzz: As one user from HackerNews noted, 'The trick about documentation is depth, not prose.' This sentiment is echoed by others who value clear and concise documentation. On Dev.to, a user commented 'Extending a MCP/A2A Currency Agent with A2UI' which highlights the interest in AI and agent-related topics.

Pros & Cons

What People Love

Dev.to users praise the flexibility of Trellis, HackerNews users appreciate the potential of AI in various applications, GitHub users value the open-source nature of Trellis

Common Complaints

Lack of transparency in AI decision-making, Insufficient documentation for Trellis

Biggest Positive: New AI Features

Biggest Negative: Lack Transparency

Why Trellis Stands Out

Trellis stands out from alternatives by providing a multi-platform setup, allowing users to bring the same structure to 13 AI coding platforms. Its task-centered workflow and auto-injected specs enable users to keep PRDs, implementation context, review context, and task status organized. Additionally, Trellis's project memory and journals preserve what happened last time, so each new session starts with real context. This approach solves the problem of rebuilding workflows per tool and provides a unified structure for specs, tasks, and process.

Built With

Build a multi-agent AI workflow that integrates with 13 coding platforms — Trellis provides a unified structure for specs, tasks, and process across different tools, Build a project with auto-injected specs and task-centered workflow — Trellis automates the injection of relevant context into each session, Build a research agent that utilizes project memory and journals — Trellis preserves what happened last time, so each new session starts with real context, Build a team-shared standards and workflow — Trellis specs live in the repo, benefiting the whole team, Build a parallel agent execution workflow — Trellis runs multiple AI tasks side by side with git worktrees

Getting Started

  1. Install Trellis with `npm install -g @mindfoldhq/trellis@latest`
  2. Initialize Trellis in your repo with `trellis init -u your-name`
  3. Configure Trellis with platform flags, such as `--cursor`, `--opencode`, or `--codex`
  4. Create a new task with `trellis task create`
  5. Try `trellis task list` to verify it works

About

The best agent harness.

Official site: https://docs.trytrellis.app

Category & Tags

Category: coding

Tags: agentic-coding, ai-workflow, claudecode, codex, harness

Market Context

The community is surrounded by various AI and machine learning discussions, with Trellis being a notable topic of interest. The competitive landscape is filled with companies and projects working on similar technologies.