Visual state machines to make AI agents reliable
Open-source framework for designing agent workflows as explicit state machines instead of free-form prompt chains — every transition is auditable, every failure mode has a state to land in. Aimed at teams shipping agents to production who got burned by unbounded loops or unrecoverable errors. HN launch May 2026 with 39 pts in the emerging agent-reliability category.
| Directr tier | C | S | A | A |
| Price | Free / Open-source | Free / BYO API key | Pay per token | Free |
| Free tier | Fully open-source | Fully free; bring your own model | Free tier available | Free |
| API access | ✓ | ✓ | ✓ | ✓ |
Peter Steinberger's open-source personal AI agent that lives inside the messaging apps you already use — WhatsApp, Telegram, Discord, Slack, Signal, iMessage — and can take real actions on your behalf: browse the web, run shell commands, read files, and orchestrate tasks across 50+ integrations. Bring-your-own model: cloud (Anthropic, OpenAI, Google) or fully local through Ollama or LM Studio if you want inference to stay on your hardware. Independent project, explicitly not affiliated with Anthropic, with persistent memory that carries context across sessions.
Anthropic's framework for building production AI agents on top of Claude — with built-in tool use, file system access, code execution, and the same orchestration that powers Claude Code itself. The most direct path for developers who want agent capabilities without rebuilding the harness from scratch, and the official SDK to use when you need to ship agents on Claude in production.
Google's desktop orchestration app for building and running multi-agent pipelines. Version 2.0 adds expanded model support and live workflow monitoring. PH launch 21 May 2026 with 242 votes.