darrenhinde/OpenAgentsControl

Health v2 · maintenance only

Adoption not part of the score

4786 stars · 387 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

OpenAgentsControl (OAC) is an AI agent framework built on OpenCode that enforces plan-first development workflows with approval-based execution. It teaches agents your codebase patterns and coding standards so generated code is consistent, with automatic testing, code review, and validation across multiple languages.

Use cases

• generate code that matches my team's coding patterns
• review and approve AI agent plans before execution
• automate code validation and testing for AI-generated code
• set up repeatable AI coding workflows for a team
• use AI coding agents with Claude, GPT, or local models
• enforce architecture and security standards in AI-generated code

When to choose

• you use OpenCode and want specialized agents with approval gates
• your team needs consistent, pattern-matching output from AI coding agents
• you want plan-first workflows with validation before code execution
• you work across TypeScript, Python, Go, or Rust with AI assistance

When to avoid

• you need a general-purpose agent framework independent of OpenCode
• you want fully autonomous agents without human approval steps
• your project doesn't involve AI-assisted code generation

Facets

framework · maturity active

agent-framework prompt-engineering code-review testing workflow-automation developer-tools developer-tools large-language-models cross-platform python cli opencode plan-first-development approval-gates code-generation multi-language model-agnostic ai-agents automation nodejs

Member repositories

For agents

markdown · JSON · MCP: product_card(name="darrenhinde/OpenAgentsControl")