Roadmap
R3 is now live. See what shipped, what's coming next, and what's in the backlog.
Deterministic, self-guarding execution. Every workflow runs as a tracked, resumable plan, guardrails and advisories fire at the moment of action across every IDE, and a leaner bootstrap keeps each session fast.
- Every workflow runs as a tracked, resumable plan — create, advance, and audit each step
- Sequential phase gates keep the agent on process: preparation, guardrails, HITL, and risk checks are explicit steps
- Plan and act modes supported directly, with atomic writes and resume-after-failure
- Graceful fallback to built-in task tracking when the operation manager is unavailable
- A hooks runtime enforces guardrails and advisories at the moment of action
- Self-reviewable dangerous-actions gate on destructive shell, file, and MCP operations — safe across worktrees and parallel sessions
- Advisory nudges for markdown placement, syntax/type/lint/format steps, and stray module files
- One input adapter normalizes Claude Code, Cursor, Copilot, Codex, and Windsurf — author a hook once, run it everywhere
- Per-session bootstrap roughly half its former size through skill extraction and de-duplication
- Progressive disclosure — thin skills load heavy assets only on demand
- Self-initializing preparation: agents load context, select the workflow, and commit to phases before acting
- Expanded automated-QA flow family — dedicated UI and API AQA flows plus test-case generation
- Structured phases from data collection and requirements clarification through selector implementation, execution, and test correction
- GitNexus code-graph integration for architecture-aware navigation and automatic reindexing
- Public OSS Rosetta MCP and RAGFlow deployment for open-source and demo environments
- GitHub authentication for MCP access
Enterprise-grade release with flexible deployment, built-in security, an expanded workflow library, and intelligent agent orchestration. Backwards-compatible with R1.
- Multiple connection modes — cloud, local, plugin, and fully offline
- Scales horizontally for teams of any size
- Air-gap capable — runs inside your perimeter with no external dependencies
- Container-ready with Docker Compose and Kubernetes support
- Industry-standard authentication with support for major identity providers
- Tokens encrypted at rest; policy-based access control per team and project
- Human-in-the-loop approval gates at every critical decision point
- Sensitive data protection, risk assessment, and scope enforcement built in
- Rosetta is designed so that no source code leaves your organization
- 14+ structured workflows covering the full SDLC — from initialization to validation
- 30 skills spanning coding, testing, planning, research, security, and documentation
- Every request auto-classified and routed to the right workflow
- Context loads progressively — agents get only what they need, when they need it
- Five-phase execution: Prepare, Research, Plan, Act, Validate
- Specialized agents for discovery, planning, implementation, review, and validation
- Persistent execution plans — resume where you left off, even across sessions
- Parallel delegation with scoped context for large workspaces
- Automatic bootstrapping — project context loads before the agent acts
- Three-layer instructions: core standards + organization rules + project-specific context
- Instructions versioned and published as code — rollback anytime
- Automatic workspace documentation generated during onboarding
- Incremental publishing — only changed instructions are updated
- One-file bootstrap — single rule file gets any IDE connected
- Works across 9 IDEs: Cursor, Claude Code, VS Code, Windsurf, JetBrains, Codex, Antigravity, OpenCode
- CLI with dry-run, offline mode, and fast incremental updates
- Works with any MCP-compatible tool — present and future
Delivered the core Rosetta experience — centralized knowledge delivery, automated repo initialization, and structured workflows across all major AI coding IDEs.
- One-command setup across Cursor, Claude Code, VS Code, Windsurf, JetBrains, and any MCP-compatible tool
- Automatic knowledge retrieval and context injection into every AI session
- Automated analysis of tech stack, dependencies, and architecture
- Project documentation generated in minutes, not days
- Agent rules and workflows configured per project
- Centralized knowledge base with rules, guardrails, and best practices
- CLI for publishing and managing instructions as code
- Prepare → Research → Plan → Act → Validate execution model with task classification
We're focused on R3. The backlog captures directions we're exploring — not commitments. Priorities shift based on community feedback and production learnings.
- Automated quality scoring for instructions and workflows
- Before-and-after evaluation when instructions change
- Multi-agent parallel execution for large tasks
- Cross-project awareness — catch breaking changes before they ship
- Open contribution model for workflows and skills
- Self-hosting guides and expanded integrations
Missing a feature? Have a use case we haven't covered? Your feedback directly influences what gets prioritized next.