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OPENAGENTSCONTROL
AI agents that learn your coding patterns and follow your team's standards
MIT
ABOUT
AI coding agents typically generate generic code that doesn't match a team's established patterns, architecture, or security requirements — wasting time on rewrites and introducing inconsistencies across the codebase. OpenAgentsControl solves this by adopting a plan-first workflow where agents learn your specific coding patterns upfront, propose structured plans with approval gates, then execute incrementally with per-step validation. It supports TypeScript, Python, Go, and Rust, and is model-agnostic, so teams enforce consistent coding standards no matter which LLM powers the agent.
INSTALL
npm install -g open-agents-controlINTEGRATION GUIDE
1. Train AI agents on your team's coding patterns so generated code matches existing architecture from day one
2. Implement approval gates that require developer sign-off before agents execute risky operations
3. Run plan-first development workflows where agents propose plans, get reviewed, then implement incrementally
4. Enforce consistent code quality across a team with shared pattern definitions and agent behavior profiles
5. Support multi-language codebases (TypeScript, Python, Go, Rust) with a single agent workflow framework
TAGS
codingagentcode-generationdevelopment-workflowapproval-gatespatternsteam-standards