cocofhu/grasp

Grasp helps you manage multiple projects and parallel coding agents in one visual workflow, so humans can understand faster and ship more.

What it solves

Grasp addresses the inefficiency of managing multiple AI agent projects simultaneously and the difficulty of interpreting the verbose, text-heavy outputs produced by AI models. It reduces the cognitive load of switching between different IDEs and run states, while transforming long agent responses into structured, visual artifacts that are easier for humans to review and approve.

How it works

It provides a unified platform that integrates with various agent backends (such as Cursor, Claude Code, and CodeBuddy) and orchestrates them using a visual Finite State Machine (FSM) canvas. Users can design workflows with nodes for clarification, planning, and implementation, defining success, failure, and rollback paths. The system executes these workflows within Docker sandboxes, utilizing an artifact MCP to ensure required outputs are produced before transitioning between states. It also includes "human gates" where the process pauses for manual approval before proceeding.

Who it’s for

Developers and project managers who orchestrate complex, multi-step AI agent workflows across multiple projects and need a structured way to monitor, review, and approve agent-generated code and plans.

Highlights

  • Visual Workflow Canvas: Design agent logic using nodes with checkpoints, success/fail paths, and rollback edges.
  • Multi-Backend Support: Plugs into multiple agent backends including Cursor, Claude Code, CodeBuddy, Trae, and OpenCode.
  • Structured Artifacts: Converts agent verbosity into visual specs, plans, and HTML previews for rapid review.
  • Sandbox Execution: Runs agents in isolated Docker sandboxes with integrated Git delivery (GitHub/GitLab/SSH).
  • Observability Tools: Includes a timeline, sandbox logs, and detailed token usage and cost analytics.

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