I don't understand how this is gonna fly for enterprise security and compliance. Claude needs to inherit permissions from somewhere, and those permissions will never align with the members of a slack channel. And finding the lowest common denominator of access probably results in a dumbed-down, useless experience.
The only way it works is if customers truly start treating agents as humans with the same liability as an employee.
The most important difference from other products:
> @Claude is multiplayer. Within a given Slack channel, there’s one Claude that interacts with everyone. This means that anyone can see what it’s working on, and can pick up the conversation from where the last person left off. This makes tagging Claude very different from working within a single chat or for a single task—it’s much more like interacting collaboratively with a teammate.
Is someone here using a Claude product that's not code? I'm puzzled about the amount of products they put out. I know a lot of people using Claude but we're all using the terminal-based code. Even for non-engineering stuff it suits great (tax documents, 3D modeling with blender through MCP, academic research, etc.)
This is like what you can setup with Hermes or OpenClaw within a few minutes with your ChatGPT subscription, except they handle the Slack setup for you and bill you at API rates.
Is this still using Claude Web sessions? Also, has anyone used Claude Web environments to do anything besides stuff with repo access? Like running real environments? SSHing into anything more super powered? Anyone putting real creds into those environments?
Cursor has had this a while, integrated with their web agents. It was a bit buggy to begin with, not working well with non-github repos, but it was improving last time I checked and was pretty decent.
The best part for me is seeing non-technical folk spec out something in a thread that they discussed something and letting the agent go ahead and build it ready for the humans to review later.
It's interesting to hear that 60% of PRs at Anthropic is created by the Slack bot. While building a Slack bot is easy, making it look like an AI teammate is pretty hard. This is exactly the gap we’re working on with Lobu.ai — disclosure: I’m the founder.
The hard problem is giving a shared agent durable organizational memory and a real isolated environment where it can safely access company systems and perform work. The agents need a durable log of what everybody at the company is doing, prevent data leaks with proper access control and isolate the runtime to give everybody both private & shared space.
It’s also not tied to Claude or Slack. We see Slack as one interface and the models as part of the harness. It's usually better to combine multiple providers to review the work.
I’d be curious how they’ve solved the attribution/provenance/identity problem here. Are instances of Claude Tag, across channels, sharing the same identity? Can I grant one instance access to a range of AWS roles and another instance access to other roles?
During an incident, how do I know which Claude Tag called AWS?
Not Claude but we have AI agents operating like that already. We have 10 different ones actually all deployed in Slack and accessible via DM, or in a shared team chat.
The difference between this and our agents is that they are context aware - i.e. you can use them privately to access personal information safely.
I actually think that "multiplayer" AI usage is very neat I've done a few things where I made a simple telegram wrapper and me alongside a couple of other people were prompting it at the same time to improve a website design / ux. But definitely not whatever the hell this is, how can anthropic make products so much worse when presumeably having access to infinite fable/mythos.
How is this multiplayer? Claude-slackbot needs to inherit my permissions for accessing scoped context and data / tools. Sounds like I need to setup specific credentials for each instance of the agent.
More importantly, claude-slackbot automatically remembering sounds like it'll be company wide AI slop? 75% of the stuff on slack should not be remembered for the future. And 90% of the stuff worth having in context is not even on the slack thread.
Slack is such a simple product, and is so strategic as an interface for AI, Anthropic has to be considering building their own Slack. Hopefully this tag approach is an MVP and it proves the potential of workplace messaging as an interface for AI, but also the limitations of relying on the extension points they salesforce chooses to provide, and it turns into a full fledged slack competitor from anthropic soon.
Not sure how much we'll use this, but it could be useful for filing tickets from conversations. Though I'd prefer to just point claude to the convo post-hoc rather than have to invite it each time just in case I want to ask claude to do something.
The last thing I want is claude chipping into a convo Clippy-style.
Christ I pray the mouthbreathers who control the inane time-and-attention wasting Slack integrations at my work don't hear about this slop, the last thing I need is enabling morons even more in their search to throw LLM answers at me.
Claude Tag
(anthropic.com)180 points by adocomplete 3 hours ago | 98 comments
Comments
Given the reliability and general product quality of the Anthropic product team's code, this doesn't sound like a selling point.
The only way it works is if customers truly start treating agents as humans with the same liability as an employee.
Yeah, that explains a lot.
> @Claude is multiplayer. Within a given Slack channel, there’s one Claude that interacts with everyone. This means that anyone can see what it’s working on, and can pick up the conversation from where the last person left off. This makes tagging Claude very different from working within a single chat or for a single task—it’s much more like interacting collaboratively with a teammate.
The best part for me is seeing non-technical folk spec out something in a thread that they discussed something and letting the agent go ahead and build it ready for the humans to review later.
The hard problem is giving a shared agent durable organizational memory and a real isolated environment where it can safely access company systems and perform work. The agents need a durable log of what everybody at the company is doing, prevent data leaks with proper access control and isolate the runtime to give everybody both private & shared space.
It’s also not tied to Claude or Slack. We see Slack as one interface and the models as part of the harness. It's usually better to combine multiple providers to review the work.
https://lobu.ai https://github.com/lobu-ai/lobu
https://www.ycombinator.com/rfs#company-brain
During an incident, how do I know which Claude Tag called AWS?
https://news.ycombinator.com/item?id=48641261
The difference between this and our agents is that they are context aware - i.e. you can use them privately to access personal information safely.
Can provide a link if interested.
AI enables quick shipping, but the traditional moat of development no longer applies.
More importantly, claude-slackbot automatically remembering sounds like it'll be company wide AI slop? 75% of the stuff on slack should not be remembered for the future. And 90% of the stuff worth having in context is not even on the slack thread.
Not sure how much we'll use this, but it could be useful for filing tickets from conversations. Though I'd prefer to just point claude to the convo post-hoc rather than have to invite it each time just in case I want to ask claude to do something.
The last thing I want is claude chipping into a convo Clippy-style.
A tiny detail...
That explains a lot.