Clawdi

Best home for all AI agents

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Artificial Intelligence

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Genuine q as a builder, when an agent has persistent memory + cron + app connections all running in your cloud, what does the off ramp look like if I want to pull my setup out 6 months in ? Memory state is usually the part that locks you in hardest, hard to replicate elsewhere once its built up context.

forcing people to share personal API keys or personal agent memory. In other words: team-level vaults, team-level environments, and permissioned access instead of one giant shared account.

We started with personal AI environments first because that pain was immediate, but multi-user / org workflows are one of the next big things we want to support.

This is the missing infrastructure layer. The agents get all the attention but the environment they run in is what makes or breaks long-term usability. Great insight from the Clawdi team.

That's a legitimate concern—abstraction layers only work if they reduce complexity, not add to it. Have you looked into their uptime SLA and whether they offer fallback mechanisms or local-first options for critical agents? Understanding their infrastructure resilience would probably be the first thing I'd validate before committing.

Congrats on launch⭐. How does persistence work for memory and API keys between agents?

I like the vision, but I'm a bit wary of adding another abstraction layer on top of my already-complex agent stack. What happens to my workflow if Clawdi has downtime

Genuinely excited about this. Most AI agent tools compete on flashy capabilities. Clawdi is competing on reliability and persistence — which is actually what matters for daily use. Rare positioning.

Installed in 5 minutes, synced my OpenClaw config to the hub, then spun up Hermes pointing at the same environment. Actually worked. This is the boring-but-essential infrastructure the space has been missing.

Solid concept, but "shared memory across agents" needs a strong access control story. If one compromised agent can write to the shared context, it could affect all others. How are you thinking about isolation?

Is there a way to selectively share part of an environment with a collaborator without giving full access? Thinking about pair-programming-style AI workflows.

Hey, do you have plans for team or org accounts? I'd love to let my team access shared environments without sharing personal API keys.

Been waiting for something like this. I've rebuilt my agent setup from scratch 3 times this year switching between frameworks. The "iCloud for AI agents" framing really clicks. Upvoted and sharing this with my team.

Running OpenClaw on Telegram and Claude Code locally — this is literally built for my setup. Installing now.

Congrats on the launch! 🎉

Hey Product Hunt! 👋 I'm Xiaolu, part of the team at Clawdi, specifically focusing on product research and agent development. It's incredibly exciting to finally share what we've been building with this community.

The honest origin of Clawdi: I kept losing my agent setup. Every time I switched from one framework to another, or picked up a new device, I'd spend the first hour just reconstructing context, re-entering API keys, and re-teaching the agent how I work. It felt like the AI was getting smarter, but the infrastructure around it was still completely fragile.

So we built the layer that was missing. Not another agent, not another framework, just a persistent environment that travels with you. Your memory, skills, secrets, and connected tools live in Clawdi. Every agent you run connects to it. Switch frameworks, add a device, spin up a new agent , your entire setup is already there.

What I'm most proud of: it's MIT-licensed and self-hostable from day one. We didn't want anyone to have to trust a black box with their API keys.

Would love to hear from anyone who's felt this pain, especially if you're running multiple agents in parallel or switching between Claude Code and Codex regularly. That's exactly the use case we've been obsessing over.

Happy to answer any questions below. 🙌

My name is Maggie. I’m the marketing manager at Phala, the TEE infrastructure that Clawdi runs on. So I’ve been close to this project from the start.

My job involves running GTM, social, lifecycle campaigns, content, and a bunch of other things at once. So it's fair to say I am constantly bouncing between tabs, juggling multiple workflows, trying to pulling info from different sources and keep things moving. Also I’m not a developer. I don't have a technical background, so when OpenClaw blew up and because I was actively looking for something to automate my workflows, I tried setting it up locally twice, got lost in the Docker setup both times, and eventually gave up.

Being at Phala meant I knew early on what the team was building with Clawdi. I also knew what it was supposed to solve. But I didn’t actually use it until it was ready enough to just work. I logged in with Google, connected Gmail and Telegram, hit deploy. All under three minutes. My agent said hi to me on Telegram.

First thing I asked Clawdi to do: wiped my Promotions folder. I'd been receiving alerts that my inbox storage is running low but I’d been putting that off for months. 25,500 emails gone in two minutes. Then I set Clawdi up for work. I asked it to pull KPIs from Analytics, the CRM, and our social dashboards every Monday morning and drop a summary in Notion. That used to take me at least 1 hour and a half. With Clawdi all I need to do is to connect it to my work apps with literally just one click and a 1-line prompt “Drop me a clean weekly KPI summary from Analytics, CRM, and socials every Monday morning at 10:00AM EST.”

The part that shaped how we positioned the product: I kept telling the team that the setup was the wall. Not the concept, not the price but the setup. Every non-technical person I showed OpenClaw to bounced at the same point. Clawdi is the answer to that. The 3-minute deployment is NOT a marketing line, it’s the actual fix. With Clawdi integration, the deployment of Hermes agent got even sweeter: Now it doesn’t just do tasks across apps, it learns from every run and gets better over time.

If you work in marketing, ops, or anything that involves a lot of tabs and repetitive tasks, and you’ve already tried OpenClaw and given up, Clawdi is worth another look.

Hey Product Hunt 👋 — Marvin here, co-founder of Clawdi.

The honest origin story: I spent three weeks configuring an OpenClaw agent. Skills, cron jobs, 20+ app connections, memory, the whole thing. It was finally working exactly how I wanted. Then a new agent framework dropped that looked genuinely better. I switched.

Everything was gone. Three weeks of work, starting from scratch.

That's the problem we built Clawdi to solve. Every time you switch agent frameworks — and you will switch, because this space is moving insanely fast — you lose everything. Your API keys, your skills, your cron schedules, your agent's memory of how you work. It's not just annoying. It's the reason most people give up on personal agents after a few weeks.

We realized the issue is that your environment — your connections, memory, and config — is trapped inside the framework. So we decoupled them. Clawdi is the environment layer that lives above the framework. Your Gmail, Slack, GitHub, cron jobs, and agent memory live in Clawdi. The agent framework is just the engine you swap in and out.

Switch from OpenClaw to Hermes? Your entire setup carries over. When the next great framework ships next month, you won't start over again.

We also run every workspace inside an Intel TDX hardware-encrypted VM — because a personal AI agent has the keys to your entire digital life, and that deserved real security, not just a promise.

We built this because we needed it. 5,000+ people have tried it since February. Would love to hear what you think — especially if you've felt this pain yourself.

Try it free: https://clawdi.ai