项目与实践

How Foreman separates a coding agent from supervision, using runtime evidence, Jev judgments, and deterministic policy to continue, verify, stop, or escalate.

Skills Manager distributes a local skill library to Claude Code, Codex, Cursor, and Gemini CLI while managing version and configuration consistency.

How HyperFrames gives agent-generated video an inspectable workflow of HTML, animation, assets, lint, preview, and rendering.

RTK filters test, Git, search, and build noise before command output enters model context, applying context engineering at the tool-output boundary.

OpenCompany uses company.toml, agent teams, and human sign-off to put organizational structure and agent configuration into version-controlled files.

Munim Computer Use reads the accessibility tree and operates desktop controls by element ID, reducing reliance on fragile screenshot-coordinate automation.

How jcode handles multi-agent resources, state synchronization, and verification in its harness, beyond the capabilities of the model alone.

How GitHub Agentic Workflows puts judgment-based automation inside GitHub Actions while retaining permissions, controlled outputs, approval, and security.

A multi-agent engineering workflow uses isolated worktrees, CI, cold-start review, evidence gates, and layered context to control delivery of AI-generated code.

VEP/1 turns images into short evidence packets. Provider fallback, caching, and credential storage manage cost and reliability for text agents.

A Hermes MiniMax plugin with image-01, Hailuo async video tasks, CN/global endpoint fallback, end-to-end tests, and a PyPI release.

The Hermes StepFun image plugin: directory layout, model routing, API calls, billing endpoints, version fixes, and publishing.