Harsha Abegunasekara

Donely Knowledge Layer - Queryable company knowledge base + Closed-loop AI employees

Most AI agents are blind. They run without real company context and stop after isolated tasks. Donely Knowledge Layer gives your AI employees a queryable company brain connected to meetings, docs, chats, tickets, and codebases. This enables closed-loop workflows where agents can understand context, take action, observe outcomes, and continue work autonomously. Your AI employees can now understand what happened, what’s happening, and what needs to happen next.

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Harsha Abegunasekara
Hey Product Hunt, Harsha here, founder of Donely. We started Donely because OpenClaw is powerful, but running it in production is still painful. You need setup, infra, uptime, credentials, channels, memory, and someone to fix things when it breaks. That’s fine for hackers. It’s not fine if you’re a founder, agency, or business trying to actually use AI employees every day. So we built Donely. Today, Donely lets you deploy and manage OpenClaw-powered AI employees in the cloud. Each instance is isolated, has its own access, channels, billing, and AI repair layer. But the bigger vision is what I’m most excited about: AI employees should not be blind. They should understand your company. So we’re building a queryable company brain underneath them. Meetings, tickets, docs, code, customer conversations, all connected into one knowledge layer your AI employees can reason over. That means your AI employee can know what happened, what is stuck, what was promised, what shipped, and what needs to happen next. This is the start of AI Founder Mode for us. A founder or team should be able to run a company with a super-agent layer underneath them, helping them stay in the details without drowning in them. Would love your feedback, support, and brutal honesty. We’re building fast.
Ioannis Bakagiannis

Super cool. I find that local implementations are very limiting, since I am using multiple devices daily. Is the AI repair related to managing version upgrades? I am building klodi, a plugin for openclaw (agentic marketplace), and version upgrades are my biggest headache tbh.

Curious Kitty
Can you walk through how “isolated by design” works in practice—compute/container boundaries, network egress controls, secret storage/rotation, and approval flows—and how you make audit logs useful enough for real forensics rather than just debugging?