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CoChat
Openclaw for Teams that is secure, collaborative, autonomous
344 followers
Openclaw for Teams that is secure, collaborative, autonomous
344 followers
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.
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Curious how you deal with gateways going down or getting corrupted after something like an openclaw update? Asking because I ran into this specifically today.
CoChat
@dkofoed we have a monitoring services on the main host watching over the VMs (kind of like a supervisor) but I will admit it needs some tweaking and reconnecting after a dropped connection takes a hot minute. We’re working on improving that.
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.
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.
Interesting direction as moving AI agents from isolated chatbots into a shared team workspace feels like a natural next step for collaboration. Curious how teams will balance agent autonomy, memory, and security as these systems start handling real responsibilities.
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.
Love the idea of mixing AI agents and human conversations in the same thread. That shared context could make AI much more practical for real work instead of just quick prompts. Excited to see where this goes!