Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

Today we're launching Amplitude Custom Agents. Teammates that automate recurring workflows on your product data, 24/7. The signal your team needs already exists in Amplitude. Getting it to the right person, in the right format, before the moment passes still requires someone to do the assembly. Custom Agents change...

spenserskates's profile picture

Spenser Skates

11,837 subscribers

11,426 görüntüleme • 3 ay önce •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

6 Yorum

Turner Novak 🍌🧢 profil fotoğrafı
Turner Novak 🍌🧢3 ay önce

This is awesome. So much cool stuff you can build with this.

mrs. robot profil fotoğrafı
mrs. robot3 ay önce

@TurnerNovak love this!

Arya Shah profil fotoğrafı
Arya Shah3 ay önce

Imo the real moat here is the system-of-record write layer. Analytics are great, but executing in jira/slack has the most value for teams

Shaun Gold | Venture Comedy profil fotoğrafı
Shaun Gold | Venture Comedy3 ay önce

Finally, an agent that creates tickets instead of creating another meeting about creating tickets.

Ferbin profil fotoğrafı
Ferbin3 ay önce

cool's not shipping. what's actually hard to productize?

Timur Yessenov profil fotoğrafı
Timur Yessenov3 ay önce

Product-data agents are a good wedge because the input already has ground truth. I’d start with one recurring decision: which churn signal becomes a Linear ticket, who owns it, and what evidence from Amplitude must be attached before anyone acts.

Benzer Videolar

Today we're launching Amplitude MCP MCP was made for data analytics. Ask a vague question and have an AI model iteratively query Amplitude to find you insights. Amplitude MCP exposes all of Amplitude's functionality so an agent can interact with it directly. It allows you to use Amplitude without having to know anything about Amplitude's user interface or your data taxonomy. It uses the intelligence of off the shelf AI agents, including Claude, Gemini, and Cursor, to query Amplitude data you already have to find answers. It leverages all of your existing Amplitude data and how it's used to navigate through large complex behavioral datasets. You can have conversations about your product data directly inside any AI model with MCP. It can create Amplitude dashboards and notebooks with what it finds and even make recommendations. This is the best MCP use case I've ever seen. Watching an AI agent think, reason, query Amplitude, and then repeat that process iteratively is magical. See it in action:
3:08

Today we're launching Amplitude MCP MCP was made for data analytics. Ask a vague question and have an AI model iteratively query Amplitude to find you insights. Amplitude MCP exposes all of Amplitude's functionality so an agent can interact with it directly. It allows you to use Amplitude without having to know anything about Amplitude's user interface or your data taxonomy. It uses the intelligence of off the shelf AI agents, including Claude, Gemini, and Cursor, to query Amplitude data you already have to find answers. It leverages all of your existing Amplitude data and how it's used to navigate through large complex behavioral datasets. You can have conversations about your product data directly inside any AI model with MCP. It can create Amplitude dashboards and notebooks with what it finds and even make recommendations. This is the best MCP use case I've ever seen. Watching an AI agent think, reason, query Amplitude, and then repeat that process iteratively is magical. See it in action:

Spenser Skates

32,464 görüntüleme • 11 ay önce

Introducing Headless Amplitude. Say bye bye to the user interface. Agents are now first class users of Amplitude. - All core areas of Amplitude are now accessible via MCP server and we've optimized the interface for minimal token consumption - Developer CLI to manage events, experiments, flags, and projects so you can make changes in Amplitude deterministically - Service accounts so bots and scripts can query Amplitude on their own accounts In August alone, 6.3M MCP tool calls ran through Amplitude, 5x what we saw in March. Querying product data is now our fastest growing agent use case. You shouldn't have to log into the 100th SaaS dashboard to understand what your users are doing. Amplitude can show up in Codex, Claude, Cursor, or whatever agent your team is already using. We’re building toward that future with MCP, developer CLI, service accounts, and agent readable experiences. Use Amplitude without using the UI.
1:14

Introducing Headless Amplitude. Say bye bye to the user interface. Agents are now first class users of Amplitude. - All core areas of Amplitude are now accessible via MCP server and we've optimized the interface for minimal token consumption - Developer CLI to manage events, experiments, flags, and projects so you can make changes in Amplitude deterministically - Service accounts so bots and scripts can query Amplitude on their own accounts In August alone, 6.3M MCP tool calls ran through Amplitude, 5x what we saw in March. Querying product data is now our fastest growing agent use case. You shouldn't have to log into the 100th SaaS dashboard to understand what your users are doing. Amplitude can show up in Codex, Claude, Cursor, or whatever agent your team is already using. We’re building toward that future with MCP, developer CLI, service accounts, and agent readable experiences. Use Amplitude without using the UI.

Spenser Skates

10,571 görüntüleme • 23 gün önce

Notion Custom Agents have arrived in Slack! Describe the teammate you need, ground it in your knowledge base, and get to work — all in one central place. Using our Realtime Search API, these agents pull from your latest Slack and Notion data to give you trusted answers without the tab-switching. Get started today with the Notion AI app in Slack Marketplace.
0:40

Notion Custom Agents have arrived in Slack! Describe the teammate you need, ground it in your knowledge base, and get to work — all in one central place. Using our Realtime Search API, these agents pull from your latest Slack and Notion data to give you trusted answers without the tab-switching. Get started today with the Notion AI app in Slack Marketplace.

Slack

254,901 görüntüleme • 7 ay önce

A senior data scientist on call, 24/7. That's the dream. Well, these three built it. This is Data Scout, the agent that connects to Snowflake, Notion, Slack, Github, digs into your data, and sends recurring reports automatically. Honestly, one of our most-used agents at Notion. You can build one too.
2:32

A senior data scientist on call, 24/7. That's the dream. Well, these three built it. This is Data Scout, the agent that connects to Snowflake, Notion, Slack, Github, digs into your data, and sends recurring reports automatically. Honestly, one of our most-used agents at Notion. You can build one too.

Notion

40,481 görüntüleme • 5 ay önce

AI agents should add to the systems your client already uses. One client spent several years and $10 million on one ERP migration. Offer that client a move to an AI-native CRM, and "you've lost them." So we build our agents inside the systems of record. They read the data in Salesforce and do the work in Salesforce. When a human must be in the loop, the agent sends a message in Slack. The staff need no new training, so they use the agents faster. SMB clients with no CRM are the exception. You can put them on one. If you want to work as a forward deployed engineer, build on what your client already uses.
2:29

AI agents should add to the systems your client already uses. One client spent several years and $10 million on one ERP migration. Offer that client a move to an AI-native CRM, and "you've lost them." So we build our agents inside the systems of record. They read the data in Salesforce and do the work in Salesforce. When a human must be in the loop, the agent sends a message in Slack. The staff need no new training, so they use the agents faster. SMB clients with no CRM are the exception. You can put them on one. If you want to work as a forward deployed engineer, build on what your client already uses.

The Startup Ideas Podcast (SIP) 🧃

15,730 görüntüleme • 5 gün önce

Today we're introducing Wave. A proactive product agent that helps teams build self-improving products. Every product team runs the same loop. Build, ship, use, learn. AI has made building and shipping extraordinarily fast. Understanding usage and learning still happen by hand. Wave runs the whole loop: - Analyzes your Amplitude data for signals across analytics, feedback, session replays, error logs, agent traces, and experiment results - Surfaces opportunities in the form of full product specs that you or your agents can approve and ship - Tracks the experiments and outcomes of what you've built so you can start the loop over again Your product learns what works and gets smarter every cycle:
2:36

Today we're introducing Wave. A proactive product agent that helps teams build self-improving products. Every product team runs the same loop. Build, ship, use, learn. AI has made building and shipping extraordinarily fast. Understanding usage and learning still happen by hand. Wave runs the whole loop: - Analyzes your Amplitude data for signals across analytics, feedback, session replays, error logs, agent traces, and experiment results - Surfaces opportunities in the form of full product specs that you or your agents can approve and ship - Tracks the experiments and outcomes of what you've built so you can start the loop over again Your product learns what works and gets smarter every cycle:

Spenser Skates

117,744 görüntüleme • 4 ay önce

Replicas is a background coding agent that lives in sandboxed VMs and works like a teammate: it runs codebases locally with all your dependencies and tooling, iterates until it's satisfied, and opens a PR. Delegate to it from Slack, Linear, or GitHub. Congrats on the launch, Connor Loi!
1:23

Replicas is a background coding agent that lives in sandboxed VMs and works like a teammate: it runs codebases locally with all your dependencies and tooling, iterates until it's satisfied, and opens a PR. Delegate to it from Slack, Linear, or GitHub. Congrats on the launch, Connor Loi!

Y Combinator

22,356 görüntüleme • 6 ay önce

Right now the main paradigm that we think of agents in is chatting back and forth, but the biggest use of tokens will come from agents that are just always on running in the background doing work for us, or ones triggered from a workflow. Agents will be working 24/7 in our workflows processing data, reviewing and generating documents, moving data between systems, writing code, accelerating decision making steps, and more. In Claude's new Managed Agents feature, in a couple minutes you can wire up an agent that can read contracts when they come into Box to review them, and then assign a task in Linear with the critical information from the contract. But this could have been any workflow, like reviewing documents for client onboarding, invoice processing, M&A due-diligence, data extraction pipelines, and millions of other use-cases. And integrating data across any system. This is only possible when you can have long-running agents that can complete real work in the background, accurately. Agents have the ability to execute code safely, leverage tools, access a compute sandbox, and connect across systems is clearly the architecture of the future. The industry is now making it easier and easier for enterprises to build and deploy these agents.
0:43

Right now the main paradigm that we think of agents in is chatting back and forth, but the biggest use of tokens will come from agents that are just always on running in the background doing work for us, or ones triggered from a workflow. Agents will be working 24/7 in our workflows processing data, reviewing and generating documents, moving data between systems, writing code, accelerating decision making steps, and more. In Claude's new Managed Agents feature, in a couple minutes you can wire up an agent that can read contracts when they come into Box to review them, and then assign a task in Linear with the critical information from the contract. But this could have been any workflow, like reviewing documents for client onboarding, invoice processing, M&A due-diligence, data extraction pipelines, and millions of other use-cases. And integrating data across any system. This is only possible when you can have long-running agents that can complete real work in the background, accurately. Agents have the ability to execute code safely, leverage tools, access a compute sandbox, and connect across systems is clearly the architecture of the future. The industry is now making it easier and easier for enterprises to build and deploy these agents.

Aaron Levie

17,543 görüntüleme • 6 ay önce

I shot this video last week to onboard a new set of alpha customers to Notion Custom Agents. Figured I should just put it out here so you can follow along the latest and greatest. It's so cool to see all the things people are building with it. You can see some of my own use cases here: (0:00) Intro to custom agents Starting with personal use cases (1:00) Building a mail triage agent (5:00) Creating a prep doc for all my daily meetings (6:45) Generating a daily report that helps me catch up with multiple slack channels Switching to company use cases (8:30) Agent that automatically answers questions in a slack channel and files tasks when necessary (10:30) Agent that auto-routes product feedback to the right team channel and task db. And it does this with routing rules, that it wrote itself. (12:40) Build your own agent. Let your imaginations run wild! Send us feedback! The product is rolling out quickly, and everyone should have access in the next couple weeks.
13:41

I shot this video last week to onboard a new set of alpha customers to Notion Custom Agents. Figured I should just put it out here so you can follow along the latest and greatest. It's so cool to see all the things people are building with it. You can see some of my own use cases here: (0:00) Intro to custom agents Starting with personal use cases (1:00) Building a mail triage agent (5:00) Creating a prep doc for all my daily meetings (6:45) Generating a daily report that helps me catch up with multiple slack channels Switching to company use cases (8:30) Agent that automatically answers questions in a slack channel and files tasks when necessary (10:30) Agent that auto-routes product feedback to the right team channel and task db. And it does this with routing rules, that it wrote itself. (12:40) Build your own agent. Let your imaginations run wild! Send us feedback! The product is rolling out quickly, and everyone should have access in the next couple weeks.

Akshay Kothari

74,842 görüntüleme • 8 ay önce

Say hello to agentic workflow automation. Box Automate is now generally available. It runs on multiple AI agents working in combination so your workflows can handle real content complexity: -Box Extract pulls structured data from contracts, invoices, and forms -Box Agent reads, interprets, and makes decisions in the workflow -Custom Agents handle specialized use cases with defined instructions One secure platform. Consistent, reliable results at scale.
4:47

Say hello to agentic workflow automation. Box Automate is now generally available. It runs on multiple AI agents working in combination so your workflows can handle real content complexity: -Box Extract pulls structured data from contracts, invoices, and forms -Box Agent reads, interprets, and makes decisions in the workflow -Custom Agents handle specialized use cases with defined instructions One secure platform. Consistent, reliable results at scale.

Box

1,079,012 görüntüleme • 5 ay önce

In twelve months, EVERY company will be running a Company Brain. The teams who build it this year will spend the next year compounding. Everyone else is going to play catch up. Here's what it actually is. You connect your Slack, your GitHub, HubSpot, all your tools into one intelligence layer, then build the org chart around it: a main brain up top, a fleet commander running the agent fleet, specialist sub-agents handling execution. The reason it works is change management basically disappears. Your team already lives in Slack. You're just adding agents to the room they're already in. You NEED to start building yours now. In a year this will stop being an advantage and will become table stakes.
2:41

In twelve months, EVERY company will be running a Company Brain. The teams who build it this year will spend the next year compounding. Everyone else is going to play catch up. Here's what it actually is. You connect your Slack, your GitHub, HubSpot, all your tools into one intelligence layer, then build the org chart around it: a main brain up top, a fleet commander running the agent fleet, specialist sub-agents handling execution. The reason it works is change management basically disappears. Your team already lives in Slack. You're just adding agents to the room they're already in. You NEED to start building yours now. In a year this will stop being an advantage and will become table stakes.

ericosiu

338,973 görüntüleme • 3 ay önce

Today, we're launching Ako: our AI teammate that completes work for you in Slack and WhatsApp. Ako works across your team, connects to all your tools and gets work done. Try: You've heard this pitch before, so I'll cover the principles Ako is built on:
0:57

Today, we're launching Ako: our AI teammate that completes work for you in Slack and WhatsApp. Ako works across your team, connects to all your tools and gets work done. Try: You've heard this pitch before, so I'll cover the principles Ako is built on:

Krishna

11,090 görüntüleme • 1 ay önce

The next evolution of the Slack platform is here. 🔮 Now you can build and use powerful, context-aware AI apps and agents that securely connect to your conversational data — right in your flow of work. ⚙️ Explore innovations from industry leaders like OpenAI, Anthropic, Google, Perplexity, WRITER, Dropbox, Notion, and more in the Slack Marketplace. #DF25
0:39

The next evolution of the Slack platform is here. 🔮 Now you can build and use powerful, context-aware AI apps and agents that securely connect to your conversational data — right in your flow of work. ⚙️ Explore innovations from industry leaders like OpenAI, Anthropic, Google, Perplexity, WRITER, Dropbox, Notion, and more in the Slack Marketplace. #DF25

Slack

40,318 görüntüleme • 1 yıl önce

MCP connectors are now available in Basedash. Basedash already reads from your databases and SaaS tools. Now it can act on them too. Connect any MCP server (Linear, HubSpot, Slack, Resend, Notion, GitHub, your own internal one) and the Basedash agent gets new tools it can use right inside chat. Try it today.
0:29

MCP connectors are now available in Basedash. Basedash already reads from your databases and SaaS tools. Now it can act on them too. Connect any MCP server (Linear, HubSpot, Slack, Resend, Notion, GitHub, your own internal one) and the Basedash agent gets new tools it can use right inside chat. Try it today.

Basedash

11,138 görüntüleme • 4 ay önce

AI agents are powerful. They're also isolated. Switch fixes that. Here's the thing about most AI agents: they work alone. They don't see what your team is discussing. They don't share context across conversations. Every new chat is a fresh start. If you've ever tried to actually integrate an agent into your team's workflow, you know the friction. Then I found 𝗦𝘄𝗶𝘁𝗰𝗵. It brings AI agents into Slack, Teams, Discord, and Telegram as named participants. They sit in the same rooms as your team, with the same context, history, and participants. What I actually like about it: → Agents join as real participants in channels — not bots you have to Mention every time → Each room carries its own context, history, and rules → Works with Claude Code, OpenAI, LangChain, Google ADK, and custom agents → Open source and self-hostable. Running in minutes. No migration. No lock-in. Just agents where your team already works. Knowledge lives in the room, not in the agent. Switch keeps people, agents, decisions, and work history together so context survives handoffs. It's from Flint AI. Open source. Runs in minutes. 👉 Human + agent teams, actually working together. 📌 Download 𝗦𝘄𝗶𝘁𝗰𝗵 Console → 🚀𝗦𝘄𝗶𝘁𝗰𝗵 is live on Product Hunt: 🔄 Repost if you've ever wished your AI agent could just join the Slack channel. — #AI #Agents #Slack #Teams #Switch #ProductHunt
0:22

AI agents are powerful. They're also isolated. Switch fixes that. Here's the thing about most AI agents: they work alone. They don't see what your team is discussing. They don't share context across conversations. Every new chat is a fresh start. If you've ever tried to actually integrate an agent into your team's workflow, you know the friction. Then I found 𝗦𝘄𝗶𝘁𝗰𝗵. It brings AI agents into Slack, Teams, Discord, and Telegram as named participants. They sit in the same rooms as your team, with the same context, history, and participants. What I actually like about it: → Agents join as real participants in channels — not bots you have to Mention every time → Each room carries its own context, history, and rules → Works with Claude Code, OpenAI, LangChain, Google ADK, and custom agents → Open source and self-hostable. Running in minutes. No migration. No lock-in. Just agents where your team already works. Knowledge lives in the room, not in the agent. Switch keeps people, agents, decisions, and work history together so context survives handoffs. It's from Flint AI. Open source. Runs in minutes. 👉 Human + agent teams, actually working together. 📌 Download 𝗦𝘄𝗶𝘁𝗰𝗵 Console → 🚀𝗦𝘄𝗶𝘁𝗰𝗵 is live on Product Hunt: 🔄 Repost if you've ever wished your AI agent could just join the Slack channel. — #AI #Agents #Slack #Teams #Switch #ProductHunt

Anuj

337,509 görüntüleme • 1 ay önce

Introducing Base44 Superagents. AI agents built with managed infrastructure, secured by default, one-click integrations, and 24/7 execution from the start. Everything is taken care of so you can focus on what your agent does, not how to get it running. That means no API keys to juggle, no config files, no security setup, and no maintenance. We handle all of it. Your Superagent connects to all the tools you already use in one click, runs on schedules and triggers, remembers context across sessions, acts proactively on your behalf, and keeps working around the clock. All from wherever you already are, WhatsApp, Telegram, Slack, or your browser. The AI agent everyone's been waiting for, with everything you need already built in. We're excited to get this into your hands, so we're giving free credits to everyone who comments and reposts in the next 24 hours.
1:51

Introducing Base44 Superagents. AI agents built with managed infrastructure, secured by default, one-click integrations, and 24/7 execution from the start. Everything is taken care of so you can focus on what your agent does, not how to get it running. That means no API keys to juggle, no config files, no security setup, and no maintenance. We handle all of it. Your Superagent connects to all the tools you already use in one click, runs on schedules and triggers, remembers context across sessions, acts proactively on your behalf, and keeps working around the clock. All from wherever you already are, WhatsApp, Telegram, Slack, or your browser. The AI agent everyone's been waiting for, with everything you need already built in. We're excited to get this into your hands, so we're giving free credits to everyone who comments and reposts in the next 24 hours.

Base44

1,583,801 görüntüleme • 7 ay önce

🚨 Secure OpenClaw - Message Your Custom AI Agent From Telegram We are excited for our first release of personal agents. You can now use Abacus AI's DeepAgent to vibe code a personal agent on Telegram Create and simply message the agent! - do tasks like respond to emails - schedule meetings - use the browser to book tickets - connect to your internal systems The agent runs on a secure environment with constraints and you can pretty much customize it exactly like you want it when you are building it This is just v1 - we are going to be launching something WAY more exciting soon
1:07

🚨 Secure OpenClaw - Message Your Custom AI Agent From Telegram We are excited for our first release of personal agents. You can now use Abacus AI's DeepAgent to vibe code a personal agent on Telegram Create and simply message the agent! - do tasks like respond to emails - schedule meetings - use the browser to book tickets - connect to your internal systems The agent runs on a secure environment with constraints and you can pretty much customize it exactly like you want it when you are building it This is just v1 - we are going to be launching something WAY more exciting soon

Bindu Reddy

10,702 görüntüleme • 7 ay önce

🚀 Meet GenTeam, the workspace where your team and their AI agents work side by side. We've reimagined Genspark Teams into something new: a place where people and agents chat, stay on the same page, and get work done together. Your team, instantly staffed — deploy agents from the marketplace in one click (Marketer, Coder, Designer, Copywriter, and more), or build your own. Real pros, not chatbots — every agent runs on frontier models, has access to all the tools and Skills in Genspark, and works 24/7. Work side by side — bring your own agents in, DM them privately, or pull people and agents into a group chat to collaborate. Your data, protected — clean, reliable permission controls you can trust. Meet your new team →
3:37

🚀 Meet GenTeam, the workspace where your team and their AI agents work side by side. We've reimagined Genspark Teams into something new: a place where people and agents chat, stay on the same page, and get work done together. Your team, instantly staffed — deploy agents from the marketplace in one click (Marketer, Coder, Designer, Copywriter, and more), or build your own. Real pros, not chatbots — every agent runs on frontier models, has access to all the tools and Skills in Genspark, and works 24/7. Work side by side — bring your own agents in, DM them privately, or pull people and agents into a group chat to collaborate. Your data, protected — clean, reliable permission controls you can trust. Meet your new team →

Genspark

107,924 görüntüleme • 2 ay önce

The Every team runs as much work as possible through agents. To help the whole team share skills when a new model comes out, they built a company agent on Claude Managed Agents that everyone uses in Slack. Once it caught on internally, they released it to their subscribers.
2:57

The Every team runs as much work as possible through agents. To help the whole team share skills when a new model comes out, they built a company agent on Claude Managed Agents that everyone uses in Slack. Once it caught on internally, they released it to their subscribers.

Claude

333,528 görüntüleme • 3 gün önce

Another blow to Anthropic! They spent months building what's now fully open-source. Anthropic recently put Claude inside Slack, where you can tag it in a channel. It reads the thread, breaks the task into steps, and posts the result back. The problem is that it only runs Claude and only in the channels Anthropic supports. Running your own agent there is harder. The reasoning, tool calls, and state management are mostly handled by the framework. Connecting that agent to a messaging platform is not. Moreover, each platform has a different integration: - Slack renders messages with Block Kit - Teams uses Adaptive Cards - and each has its own SDK, auth flow, and delivery model. If an agent needs to run on three platforms, one must write three separate integrations against the same agent logic. That overhead explains why most custom agents never get deployed to Slack, and why the ones that do are usually a single vendor's hosted assistant. The alternative is to keep the agent in one place and add a per-platform adapter that translates its output into each platform's native format. The agent is written once, and each channel requires just another output target instead of a separate build. CopilotKit open-sourced this full implementation in the Channels SDK. Essentially, any agent that implements AG-UI can run in a messaging platform in a few lines of code, like Slack, Teams, Discord, WhatsApp, and many more. Because the agent runs inside the thread, it has that conversation's context, so it can summarize the discussion, open a ticket, or route to the right person. It works with any backend, so LangGraph, CrewAI, Mastra, Google ADK, or a plain HTTP agent can connect through an existing endpoint. The same message can render as a Block Kit in Slack and as Adaptive Cards in Teams. In practice, the model and orchestration stay the same; it requires no migration or rewrite. It also handles human-in-the-loop approvals, persistence, and transcripts that carry state across platforms, so a thread started in Teams can continue in Slack. CopilotKit is open-source, and AG-UI is supported across every major agent framework, including LangGraph, CrewAI, Mastra, and Google ADK. Here's the repo: (don't forget to star it ⭐) The agent running in Slack no longer has to be a vendor's. It can be the one you already built. The video below shows this in action. Thanks to CopilotKit for working with me on this launch.
0:30

Another blow to Anthropic! They spent months building what's now fully open-source. Anthropic recently put Claude inside Slack, where you can tag it in a channel. It reads the thread, breaks the task into steps, and posts the result back. The problem is that it only runs Claude and only in the channels Anthropic supports. Running your own agent there is harder. The reasoning, tool calls, and state management are mostly handled by the framework. Connecting that agent to a messaging platform is not. Moreover, each platform has a different integration: - Slack renders messages with Block Kit - Teams uses Adaptive Cards - and each has its own SDK, auth flow, and delivery model. If an agent needs to run on three platforms, one must write three separate integrations against the same agent logic. That overhead explains why most custom agents never get deployed to Slack, and why the ones that do are usually a single vendor's hosted assistant. The alternative is to keep the agent in one place and add a per-platform adapter that translates its output into each platform's native format. The agent is written once, and each channel requires just another output target instead of a separate build. CopilotKit open-sourced this full implementation in the Channels SDK. Essentially, any agent that implements AG-UI can run in a messaging platform in a few lines of code, like Slack, Teams, Discord, WhatsApp, and many more. Because the agent runs inside the thread, it has that conversation's context, so it can summarize the discussion, open a ticket, or route to the right person. It works with any backend, so LangGraph, CrewAI, Mastra, Google ADK, or a plain HTTP agent can connect through an existing endpoint. The same message can render as a Block Kit in Slack and as Adaptive Cards in Teams. In practice, the model and orchestration stay the same; it requires no migration or rewrite. It also handles human-in-the-loop approvals, persistence, and transcripts that carry state across platforms, so a thread started in Teams can continue in Slack. CopilotKit is open-source, and AG-UI is supported across every major agent framework, including LangGraph, CrewAI, Mastra, and Google ADK. Here's the repo: (don't forget to star it ⭐) The agent running in Slack no longer has to be a vendor's. It can be the one you already built. The video below shows this in action. Thanks to CopilotKit for working with me on this launch.

Akshay 🚀

244,387 görüntüleme • 2 ay önce