That frustration is a big part of why we built Rainy MaTE.
A lot of AI products are great at replying, but much weaker at actually operating:
retaining context over time
using tools with control
coordinating execution across tasks
behaving more like a system than a one-off prompt box
We ve been exploring a different direction with Rainy MaTE: local-first AI built around autonomy, memory, tools, and specialist coordination.
Hey PH 👋 We built Rainy MaTE because most AI assistants still feel trapped in chat. They can answer questions, but they struggle to retain context, act with control, and handle real work autonomously.
Over the past few weeks, MaTE evolved far beyond our original scope. What started as a simpler assistant became a local-first AI system focused on real autonomy — with memory, tools, specialist agents, and controlled execution on your machine.
We’re building toward a future where AI doesn’t just respond, but can operate with context, coordination, and control.
We’d love your feedback on the product, the demo, and where you think autonomous AI systems still fall short today.