Rudder is an open-source platform designed to help teams assign, run, review, and refine work performed by AI agents. It provides a structured operating layer that sits above existing agent runtimes, ensuring that agent-driven tasks remain visible, governed, and tied to specific organizational goals. By connecting individual agent sessions into a cohesive loop of goals, issues, runs, and feedback, Rudder enables teams to build institutional memory and improve the quality of AI outputs over time. It is intended for developers, founders, and operators who require a professional framework for managing autonomous or semi-autonomous workflows that have evolved beyond simple one-off prompts.

Functionality centers on coordinating the entire lifecycle of agent-assisted work. Rudder does not replace existing agent runtimes like Claude Code, Codex, or custom scripts; instead, it orchestrates them. It provides a shared interface where humans define goals, initiate agent runs, inspect outcomes, and preserve the learning acquired during the process. By bridging the gap between casual agent interaction and structured task management, Rudder makes complex agent activity audit-able and actionable.

Some of the key features are:

• Goal-Oriented Structure: Connects agent activity to high-level organization objectives for better focus and alignment.
• Durable Issue Tracking: Allows for turning requests into persistent issues with clear ownership, status, and dependency management.
• Agent Run Oversight: Provides centralized visibility into individual agent executions, including logs, transcripts, and final outputs.
• Collaborative Review Flows: Supports explicit review steps, approval processes, and feedback loops to ensure high-quality results.
• Operational Memory: Preserves context, files, and lessons learned from past runs to improve future agent performance.
• Flexible Integration: Works with existing runtimes and development environments rather than locking users into a proprietary system.
• Governance Controls: Enables budget tracking and visibility into automated agent work for better oversight and cost control.

Operating Rudder involves a straightforward workflow that moves from task assignment to evaluation. Users can initiate work either through simple chat conversations for smaller, ephemeral tasks or by creating structured Issues for larger, multi-step projects. Once an agent is triggered via a selected runtime, Rudder monitors the execution and collects the resulting files, logs, and metadata. Humans then review these outputs directly within the platform, where they can approve the work, request revisions, or add the results to a shared library. This entire process is tracked within the organization’s dashboard, ensuring that every piece of work is connected to its originating context and original objective.

Some common use cases include:

• Software Development: Coordinating AI-assisted coding tasks, such as feature implementation or refactoring, with clear peer review and documentation.
• Content Creation: Managing recurring content production, where agents draft copy that requires editorial approval and feedback before publication.
• Automated Research: Running periodic research tasks that require collecting data and summarizing findings into reports accessible by the team.
• System Maintenance: Using scheduled automations for monitoring or cleanup tasks that require clear audit trails and error reporting.
• Project Onboarding: Automating the preparation of development environments or documentation tasks for new team members.