Live Kanban board for AI agent plans from plan.yaml
Plandeck renders a plan.yaml as a live Kanban board that auto-organizes tasks as an AI agent works. It computes task readiness from dependency edges, so the agent and user always see what is ready, blocked, or done, solving the problem of agents losing context or mis-prioritizing during long runs.
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Safety layer for AI agents with alerts, kill switch, and dashboard
AgentKavach is a safety layer for AI agents that monitors usage, spending, and behavior. It provides real-time alerts, an automatic kill switch to stop misbehaving agents, and a dashboard with insights. It solves the problem of runaway costs and unintended behavior for teams deploying autonomous AI agents.
CleanSlate IDE with built-in agent manager for multi-agent coding workflows
CleanSlate is an IDE that integrates an agent manager directly, allowing developers to create, manage, and switch between multiple coding agents without leaving the editor. It solves the friction of toggling between separate agent management tools and the IDE, enabling seamless context preservation and multi-agent orchestration for developers working with LLM-powered coding agents.
Replay coding-agent sessions on a 3D codebase map
Mindwalk replays coding-agent sessions on a 3D map of your codebase, letting developers visualize and debug agent actions spatially. It uses LLMs to power the coding agent whose sessions are replayed, helping developers understand agent behavior and codebase structure.
AI agent that manages multiple coding tasks across git worktrees
TaskCooker is an open-source AI agent that helps developers manage multiple coding tasks across different git worktrees. It integrates with existing AI subscriptions like Claude Code to automate task tracking and context switching, reducing the cognitive load of juggling many terminal tabs.
Visual canvas for drawing full-stack architecture as typed nodes, exportable as JSON/YAML for AI coding tools
SpecRabbit is a visual canvas tool that lets developers draw full-stack architecture as typed nodes (UI forms, API endpoints, backend services, databases) connected by named flows. It captures global tech stack parameters and exports the specification as JSON or YAML for use by AI coding agents like Claude. The tool was built using Claude as a coding assistant and solves the problem of creating structured architecture specs that AI tools can consume.
