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Use an agent harness to navigate and build complex codebases faster.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "oh-my-openagent" yet — see the docs or source repo.
Act as an agent for a complex codebase. Analyze this project's folder structure, core modules, and key dependencies, then tell me the best place to start reading the code.
A project structure overview, module responsibility summary, and a recommended onboarding path.
Help me trace possible causes of a 'post-login permission error' in this complex repository. Map the call chain, related configs, suspicious code locations, and suggest debugging steps.
A breakdown of impact scope, key call chains, suspicious areas, and actionable debugging steps.
Based on the existing architecture, add an 'audit logging' feature to the project. First identify the modules to change, then propose an implementation plan, code changes, and testing points.
An implementation plan, suggested file-level changes, and corresponding test coverage guidance.
Set up portable agents aligned with your codebase, workflows, and engineering standards.
Delegate coding tasks to background AI coding agents for implementation and changes.
Optimize coding agents with performance, security, memory, and research-first workflows.
Logs OpenCode agent sessions into a safe sandboxed markdown folder.
Delegate Codex CLI tasks to specialized subagents with isolated execution and validation.
Learn OpenCode setup, extensions, and automated AI coding workflows.