Rosetta - Software Engineering Accelerator providing AI agents with unified access to instructions, workflows, skills, and business context
npx claudepluginhub griddynamics/rosettaRosetta Core 2.0 - OSS foundation for AI agent instructions, workflows, and guardrails. Includes Rosetta MCP for knowledge base access.
Lightweight Rosetta plugin with bootstrap always enforced and Rosetta MCP for all instructions, workflows, skills, and project context.
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Rosetta is a meta-prompting, context engineering, and centralized knowledge management for AI coding agents. It provides structured context - rules, skills, workflows, and sub-agents - guiding AI systems to operate with a deep understanding of system architecture, domain constraints, and engineering standards. Rosetta also accelerates project onboarding by reverse-engineering architecture and domain context, improving the reliability and consistency of AI-generated code.
Every AI interaction follows four phases: Prepare (load guardrails and context), Research (search the knowledge base), Plan (produce a reviewable plan), Act (execute with full context). Read more in the Usage Guide.
Your IDE connects to the Rosetta MCP server. The server exposes guardrails and common best practices, and provides a menu of available instructions — workflows and coding conventions. The coding agent selects only what it needs for the current task; Rosetta delivers just those, keeping the agent's context lean. By design, no source code or project data reaches Rosetta.
Rosetta is designed to not see your source code. It only serves knowledge and instructions to the agent. The agent loads only what it needs per request (progressive disclosure) and follows your organization's workflows.