Show HN: Clawe – Open-Source Trello for Agent Teams

Why It Matters

Clawe lowers the barrier for enterprises to orchestrate autonomous AI teams, turning fragmented prompts into a managed workflow. Its open‑source nature accelerates adoption and customization across SaaS and internal automation projects.

Key Takeaways

• Runs multiple AI agents with distinct roles.
• Kanban board integrates tasks, subtasks, and mentions.
• Cron‑based heartbeats schedule agent work automatically.
• Convex backend stores shared state and notifications.
• Docker Compose simplifies one‑click deployment.

Pulse Analysis

Clawe emerges at a time when businesses are experimenting with AI agents beyond single‑prompt use cases. By providing a Trello‑like interface, the platform translates the familiar task‑board metaphor into a collaborative environment for autonomous agents. Each agent operates from an isolated workspace, complete with personality files and memory, while the OpenClaw gateway routes requests and enforces cron‑driven heartbeats. This architecture bridges the gap between ad‑hoc AI scripts and production‑grade orchestration, offering developers a turnkey solution that scales with Docker and Convex.

Technically, Clawe leverages Docker Compose to bundle the OpenClaw gateway, a notification watcher, and a Next.js dashboard. The Convex backend handles persistent state, task metadata, and real‑time notifications, ensuring agents can share context without custom databases. Integration with Anthropic’s Claude (and optional OpenAI image generation) provides high‑quality language models out of the box. The modular CLI lets users query tasks, update statuses, and trigger notifications, while the heartbeat scheduler mitigates rate‑limit concerns by staggering agent wake‑ups. This stack reduces operational overhead, making multi‑agent deployments accessible to teams without deep MLOps expertise.

From a business perspective, Clawe’s open‑source AGPL‑3.0 license encourages community contributions and rapid feature iteration. Companies can prototype AI‑driven workflows—such as content creation, design iteration, or SEO analysis—without building infrastructure from scratch. The platform’s Kanban view aligns with existing project‑management tools, easing adoption for non‑technical stakeholders. As AI agents become more capable, tools like Clawe will be pivotal in turning isolated models into coordinated squads that deliver measurable outcomes, positioning early adopters at the forefront of the next automation wave.