{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/16"},{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/8"}],"enrichment":{"capability":"Trinity orchestrates multiple AI coding agents (Claude, Codex, Antigravity) in structured round-based deliberation, reaching consensus before distributing tasks to each agent's specialty.","skillfed_tags":["multi-agent-orchestration","ai-code-generation","cli-tool"],"use_cases":["Design a system architecture with multiple AI perspectives before implementation, catching blind spots a single model might miss.","Generate and review code in one workflow: Claude designs, Codex implements, Antigravity validates\u2014all in one session.","Iteratively refine a feature by asking follow-up questions mid-deliberation without losing context or restarting the agents.","Automate code review by having non-owner agents peer-review each work package before you accept the changes.","Manage complex multi-step projects where different agents' strengths (design, coding, edge-case analysis) are needed in sequence.","Prototype faster by running deliberation once to get consensus, then executing the agreed plan without manual task assignment."],"what_it_does":"Trinity is a multi-agent AI orchestrator that coordinates Claude, Codex, and Antigravity CLI into a single collaborative system. Instead of delegating all work to one AI, Trinity runs structured round-based deliberation where each agent contributes its perspective, reaches consensus on a plan, then distributes tasks according to each agent's specialty\u2014Claude as architect, Codex as implementer, Antigravity as reviewer. The system maintains a shared context file, detects blocking questions that need user input, and automates peer review of generated code before final delivery.\n\nIt runs as a CLI tool with an optional interactive Textual-based workbench. You initialize a project with `trinity init`, then either ask one-off questions via `trinity ask` or launch the full TUI with `trinity`. The workflow persists state in `.trinity/` so you can pause, ask follow-up questions, and resume. All three provider CLIs are optional\u2014you can start with just one\u2014but having all three unlocks the full multi-agent deliberation and review flow.","worth_installing":"Yes, with conditions. Install if you have at least one of Claude Code, Codex, or Antigravity CLI already set up and want to experiment with multi-agent deliberation for code design and review. The low install friction and active maintenance make it worth trying. However, alpha status means workflows and APIs may change; use it for exploration and prototyping rather than critical production pipelines. If you only have one provider CLI, you'll get single-agent interaction rather than true multi-agent consensus, which reduces the value proposition."},"id":"trinity-agent","links":{"html":"https://skillfed.io/packages/trinity-agent","md":"https://skillfed.io/packages/trinity-agent.md","pypi":"https://pypi.org/project/trinity-agent/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-28","license_spdx":null,"license_treatment":"permissive","name":"trinity-agent","python_support":"supports_current","summary":"Three minds, one context \u2014 Multi-agent AI orchestrator for Claude Code, Codex, and Antigravity CLI."},"popularity":{"monthly_downloads":182550,"position":10096,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.0.1163"}