CoChat - Openclaw for Teams that is secure, collaborative, autonomous
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CoChat is where your team and AI agents work together. It’s the most secure way to use OpenClaw with a company: connect self-hosted or CoChat-managed gateways and share agents without sharing your machine (no SSH). Every connection is auto security-audited, with logs and approvals for sensitive steps. Agents have personality, memory, and scheduled tasks. The thing that makes it click: one thread where humans and agents bring different strengths and produce better output together.
Replies
Great work, but I have some security concerns. How to set up a secure connection for cloud-deployed OpenClaw?
The “agents as teammates” framing is really interesting.
One thing I’m curious about: when a new team first opens CoChat, what’s the main starting workflow you expect them to try first?
With platforms that combine agents, automation and collaboration, sometimes the hardest part is helping users understand the first simple use case.
Great idea, it solves one of the key shortcomings of Openclaw. Congratulations on the launch!
Agentplace
This looks super useful for marketers. Real-time insights from actual consumers can make a huge difference in understanding brand performance. Congrats on the launch!
the memory and personality per agent is the right call. most team AI tools feel stateless, like starting over every session.
curious about the cold start for new team members though. agents build context over time, but what about day one? been using northr identity for that exact gap, portable user identity that loads into any AI session instantly. combined with cochat's memory layer that could be pretty powerful.
Question: Is the "CoChat" name hinting at a real-time collaborative layer over existing chatbots, or is this building something from scratch? The minimalist landing page has me intrigued but also wondering if I'm looking at a wrapper around ChatGPT's API or a completely new conversational architecture.
Origin
Congratulations on your launch, and interesting concept! Caught my eye because recently our org completely banned OpenClaw due to IP/data leakage risks, even if running locally.
I understand that having logs and approvals for sensitive steps is a great way forward, but can you really claim that's all it takes to make it "secure"? Also, what about data retention since agents have memory? Curious how you tackle data retention and leakage risks.