Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

Introducing OpenAI Dots x Heybrain. Your always-on agents now have persistent, governed memory across sessions, tools, and agents. One agent can pick up where another left off, with the right company context and permissions already in place. Powered by Brain & GPT-6.1 Sol.

HeyBrain

1,286 subscribers

34,009 Aufrufe • vor 2 Tagen •via X (Twitter)

Bildung Wissenschaft & Technologie

Anya Rossi• Live Now

Private livecam show

44 Kommentare

Profilbild von ChainGPT

ChainGPTvor 2 Tagen

who keeps letting you guys cook lol 🔥🔥🔥

Profilbild von HeyBrain

HeyBrainvor 2 Tagen

starting from zero is officially optional

Profilbild von AIVM

AIVMvor 2 Tagen

this is actually crazy

Profilbild von HeyBrain

HeyBrainvor 2 Tagen

mind blowing really

Profilbild von ChainGPT Labs

ChainGPT Labsvor 2 Tagen

there is no stopping you guys!!

Profilbild von HeyBrain

HeyBrainvor 2 Tagen

we will never be stopped

Profilbild von HeyBrain

HeyBrainvor 2 Tagen

Get started for free:

Profilbild von Blossom Zoey

Blossom Zoeyvor 2 Tagen

One agent continuing from where another stopped could make multi agent workflows much smoother.

Profilbild von Disy gus

Disy gusvor 2 Tagen

Wow wow never stop and no one cant stop good job.

Profilbild von chand_covsong

chand_covsongvor 2 Tagen

Is this actually connected, or is it just promotional marketing?”

Profilbild von Chọn Em Nè

Chọn Em Nèvor 2 Tagen

Persistent memory across multiple sessions with the agent sounds convenient; you don't have to re-enter the context every time you start a new task #CGPTCommunity

Profilbild von sara

saravor 2 Tagen

We are entering a new era of innovation and efficiency. The possibilities are limitless!

Profilbild von Leroy_Crypto_LLcool

Leroy_Crypto_LLcoolvor 2 Tagen

That one agent can be not simple and make more tools #CGPTCommunity

Profilbild von Siberia

Siberiavor 2 Tagen

no more starting from zero every session ,thank god☺️

Profilbild von HeyBrain

HeyBrainvor 2 Tagen

we just doing our part to make agents more useful!

Profilbild von Nikolas

Nikolasvor 2 Tagen

Persistent memory for agents across sessions and tools is a really useful feature. #CGPTCommunity

Profilbild von ChainGPT Pad

ChainGPT Padvor 2 Tagen

this is actually insane 🤯🤯🤯

Profilbild von HeyBrain

HeyBrainvor 2 Tagen

the team went crazy fr

Profilbild von chand_covsong

chand_covsongvor 2 Tagen

Is this an official OpenAI partnership, or is it simply an MCP integration with Codex?

Profilbild von Reida Wo

Reida Wovor 2 Tagen

HeyBrain cook now.

Profilbild von CryptoRhaktoR

CryptoRhaktoRvor 2 Tagen

Agents continue to make our lives easier.

Profilbild von HeyBrain

HeyBrainvor 2 Tagen

agi soon ? 👀

Profilbild von LYW | ADZ

LYW | ADZvor 2 Tagen

Perfect collaboration. just by typing to doing work

Profilbild von Nick

Nickvor 2 Tagen

Agents picking up where others left off makes sense #CGPTCommunity

Profilbild von xxDeixx

xxDeixxvor 2 Tagen

@Heybrainio is on Fire🔥🔥🔥

Profilbild von HeyBrain

HeyBrainvor 2 Tagen

team is coooking fr !

Profilbild von muhammad

muhammadvor 2 Tagen

Perfect

Profilbild von Mint Mind

Mint Mindvor 2 Tagen

Persistent memory makes agents much more useful.

Profilbild von HeyBrain

HeyBrainvor 2 Tagen

wayyy more useful

Profilbild von Jay

Jayvor 2 Tagen

holy, the team is cooking

Profilbild von zdotsssssss 🍊,💊 | (❖,❖)

zdotsssssss 🍊,💊 | (❖,❖)vor 2 Tagen

Amazing collaboration #CGPTShillArmy

Profilbild von CRYpto

CRYptovor 2 Tagen

Excited to see how teams use this for real cross-agent workflows.

Profilbild von HeyBrain

HeyBrainvor 2 Tagen

and so are we!

Profilbild von Rowler

Rowlervor 2 Tagen

The shared context between agents is pretty interesting #CGPTCommunity

Profilbild von Mafaz Zelbi

Mafaz Zelbivor 2 Tagen

interesting, everyone can try now.

Profilbild von Diva Karma

Diva Karmavor 2 Tagen

We will all have AI agent 🤭

Profilbild von HeyBrain

HeyBrainvor 2 Tagen

the agents are coming!!

Profilbild von crypto lover | Hulk0.bnb

crypto lover | Hulk0.bnbvor 2 Tagen

One agent can handle all work #CGPTShillArmy

Profilbild von .ink base.eth Jumbo Tabi 💢🟧🐳

.ink base.eth Jumbo Tabi 💢🟧🐳vor 2 Tagen

New ai agent?

Profilbild von Strom

Stromvor 2 Tagen

Having permissions carry over between sessions is useful #CGPTCommunity

Profilbild von mohamad xmaksar

mohamad xmaksarvor 2 Tagen

Oh that nice yeh #CGPTShillArmy

Profilbild von Hassan

Hassanvor 2 Tagen

Nicee

Profilbild von Andreas Fungki

Andreas Fungkivor 2 Tagen

awesome. this tool will help you a lot.

Profilbild von Maruf Ibrahim

Maruf Ibrahimvor 2 Tagen

Shared context should make it easier for agents to continue ongoing tasks.

Ähnliche Videos

Introducing Membase – portable and persistent memory for your agents. Keep all your context in one place and simply plug it into any agent. We just opened private beta access. Get Membase and make every AI understand you. *Also available in .

Introducing Membase – portable and persistent memory for your agents. Keep all your context in one place and simply plug it into any agent. We just opened private beta access. Get Membase and make every AI understand you. *Also available in .

Joshua Park

18,238 Aufrufe • vor 8 Monaten

We just launched Twin 2 500,000+ tasks automated in our first month. Now: multi-agent automation. → Master agent that orchestrates all your agents → Workspaces where agents share context and collaborate → Persistent databases for long-term memory → See and edit your agent brain for maximum control → Runner mode: scale at 1/10th the cost → Auto-generated web apps to share your agents Try it out now!

We just launched Twin 2 500,000+ tasks automated in our first month. Now: multi-agent automation. → Master agent that orchestrates all your agents → Workspaces where agents share context and collaborate → Persistent databases for long-term memory → See and edit your agent brain for maximum control → Runner mode: scale at 1/10th the cost → Auto-generated web apps to share your agents Try it out now!

Hugo Mercier

11,226 Aufrufe • vor 7 Monaten

The Box MCP server is now available within Notion Custom Agents. Ground any Notion agent in your enterprise content. Automate workflows where agents search content in Box and update your notion dashboards and trackers with the latest status. Onboarding assistants. Sales enablement agents. Executive briefing agents. All powered by Box content, secured by Box permissions, and ready to act on your behalf.

The Box MCP server is now available within Notion Custom Agents. Ground any Notion agent in your enterprise content. Automate workflows where agents search content in Box and update your notion dashboards and trackers with the latest status. Onboarding assistants. Sales enablement agents. Executive briefing agents. All powered by Box content, secured by Box permissions, and ready to act on your behalf.

Box

134,309 Aufrufe • vor 4 Monaten

🚨 KEEP CALM AND AI - AUTONOMOUS AGENTS WITH INFINITE MEMORY We are launching the ability to create arbitrary agents that run on schedule and have access to a persistent and infinite memory The agents will be able to store, retrieve, and update information across sessions and perform repetitive tasks that require persistent memory Another step towards AGI and automating white-collar work 🚀🚀🚀

🚨 KEEP CALM AND AI - AUTONOMOUS AGENTS WITH INFINITE MEMORY We are launching the ability to create arbitrary agents that run on schedule and have access to a persistent and infinite memory The agents will be able to store, retrieve, and update information across sessions and perform repetitive tasks that require persistent memory Another step towards AGI and automating white-collar work 🚀🚀🚀

Bindu Reddy

13,082 Aufrufe • vor 8 Monaten

Go from idea to a working agent faster with the Agents API. Build and run cloud agents with the Codex harness, fully managed by OpenAI. We handle orchestration, long-running sessions, and context management. You focus on what makes your agent unique. Available in public beta.

Go from idea to a working agent faster with the Agents API. Build and run cloud agents with the Codex harness, fully managed by OpenAI. We handle orchestration, long-running sessions, and context management. You focus on what makes your agent unique. Available in public beta.

OpenAI Developers

1,923,054 Aufrufe • vor 22 Tagen

⚒️ How to build an AI agent with persistent memory? Watch Shaw Walters building an agent from scratch with elizaOS & showing how external, queryable memory based on OriginTrail gives agents context and extends their memory beyond a single session. 02:15 – Set up your first agent 08:55 – Initializing runtime & memory foundations 12:50 – Wiring message handling & agent memory 24:45 – Persistent conversational memory in action 38:00 – Extending agents with plugins

⚒️ How to build an AI agent with persistent memory? Watch Shaw Walters building an agent from scratch with elizaOS & showing how external, queryable memory based on OriginTrail gives agents context and extends their memory beyond a single session. 02:15 – Set up your first agent 08:55 – Initializing runtime & memory foundations 12:50 – Wiring message handling & agent memory 24:45 – Persistent conversational memory in action 38:00 – Extending agents with plugins

OriginTrail

37,365 Aufrufe • vor 8 Monaten

New course: Agent Memory: Building Memory-Aware Agents, built in partnership with Oracle and taught by Richmond Alake and Nacho Martínez. Many agents work well within a single session but their memory resets once the session ends. Consider a research agent working on dozens of papers across multiple days: without memory, it has no way to store and retrieve what it learned across sessions. This short course teaches you to build a memory system that enables agents to persist memory and thereby learn across sessions. You'll design a Memory Manager that handles different memory types, implement semantic tool retrieval that scales without bloating the context, and build write-back pipelines that let your agent autonomously update and refine what it knows over time. Skills you'll gain: - Build persistent memory stores for different agent memory types - Implement a Memory Manager that orchestrates how your agent reads, writes, and retrieves memory - Treat tools as procedural memory and retrieve only relevant ones at inference time using semantic search Join and learn to build agents that remember and improve over time!

New course: Agent Memory: Building Memory-Aware Agents, built in partnership with Oracle and taught by Richmond Alake and Nacho Martínez. Many agents work well within a single session but their memory resets once the session ends. Consider a research agent working on dozens of papers across multiple days: without memory, it has no way to store and retrieve what it learned across sessions. This short course teaches you to build a memory system that enables agents to persist memory and thereby learn across sessions. You'll design a Memory Manager that handles different memory types, implement semantic tool retrieval that scales without bloating the context, and build write-back pipelines that let your agent autonomously update and refine what it knows over time. Skills you'll gain: - Build persistent memory stores for different agent memory types - Implement a Memory Manager that orchestrates how your agent reads, writes, and retrieves memory - Treat tools as procedural memory and retrieve only relevant ones at inference time using semantic search Join and learn to build agents that remember and improve over time!

Andrew Ng

162,048 Aufrufe • vor 6 Monaten

Introducing the Agent Store: one place to discover agents you can text. No downloads, no new apps, just open Messages. Built with our friends Soar, the Agent Store is a marketplace where anyone can discover and interact with conversational agents like Soar, Tomo, and Noscroll in one place.

Introducing the Agent Store: one place to discover agents you can text. No downloads, no new apps, just open Messages. Built with our friends Soar, the Agent Store is a marketplace where anyone can discover and interact with conversational agents like Soar, Tomo, and Noscroll in one place.

Elliott Potter

32,247 Aufrufe • vor 2 Monaten

We gave Pi Code persistent memory with Mem0 Launching the Mem0 plugin for Pi Code: persistent, scoped, semantic memory across sessions and projects. It captures what matters, searches by meaning, and brings the right context back when your agent needs it. Try it out: pi install npm:@ mem0/pi-agent-plugin

We gave Pi Code persistent memory with Mem0 Launching the Mem0 plugin for Pi Code: persistent, scoped, semantic memory across sessions and projects. It captures what matters, searches by meaning, and brings the right context back when your agent needs it. Try it out: pi install npm:@ mem0/pi-agent-plugin

mem0

25,051 Aufrufe • vor 3 Monaten

Today, we’re launching Brain into general availability. One AI workspace for your entire company, people, agents, models, tools, and knowledge, all working together with permissions, privacy, and governance built in. Multiplayer AI is now open to everyone.

Today, we’re launching Brain into general availability. One AI workspace for your entire company, people, agents, models, tools, and knowledge, all working together with permissions, privacy, and governance built in. Multiplayer AI is now open to everyone.

HeyBrain

380,536 Aufrufe • vor 9 Tagen

Introducing Nowledge Mem the Context/Memory Manager connecting dots among all Agents in your daily workflow. It enables retrieval, sinking & distilling over your insights, conclusions & precious findings. It persists and by default computes everything locally. #buildinpublic

Introducing Nowledge Mem the Context/Memory Manager connecting dots among all Agents in your daily workflow. It enables retrieval, sinking & distilling over your insights, conclusions & precious findings. It persists and by default computes everything locally. #buildinpublic

Wey Gu 古思为

82,127 Aufrufe • vor 1 Jahr

i merged all my AI agents into one brain Claude Code, Codex, Gemini: one team, one memory, zero re-briefing result: 8+ hours a week back, and every agent already knows my projects, my clients and how i think here's the setup with Jarvix: 1. dump your context once: projects, clients, writing style, how you make decisions.. it builds your personal model from your actual AI interactions 2. switch agents mid-task with zero re-briefing: Claude Code builds, Codex reviews, Gemini researches, all reading the same context 3. it carries what YOU choose across sessions.. never start a chat from zero again 4. when it's time to act, it pulls the right agents together as one team instead of five separate assistants the unlock isn't another agent. it's that your context finally travels agents without shared memory are five interns on their first day, forever. agents with it are a team that's worked with you for years not more agents. one shared context that's the right bet P.S. thanks to the Jarvix team for the early access

i merged all my AI agents into one brain Claude Code, Codex, Gemini: one team, one memory, zero re-briefing result: 8+ hours a week back, and every agent already knows my projects, my clients and how i think here's the setup with Jarvix: 1. dump your context once: projects, clients, writing style, how you make decisions.. it builds your personal model from your actual AI interactions 2. switch agents mid-task with zero re-briefing: Claude Code builds, Codex reviews, Gemini researches, all reading the same context 3. it carries what YOU choose across sessions.. never start a chat from zero again 4. when it's time to act, it pulls the right agents together as one team instead of five separate assistants the unlock isn't another agent. it's that your context finally travels agents without shared memory are five interns on their first day, forever. agents with it are a team that's worked with you for years not more agents. one shared context that's the right bet P.S. thanks to the Jarvix team for the early access

Ronin

15,071 Aufrufe • vor 1 Monat

Meet the new No-Code Agent Builder: Pick, combine, and deploy agents in seconds. Agents are composed of tools (APIs, smart contracts, on-chain logic). We break down your tools and let others build agents by combining them. Try it now 🔗👇

Meet the new No-Code Agent Builder: Pick, combine, and deploy agents in seconds. Agents are composed of tools (APIs, smart contracts, on-chain logic). We break down your tools and let others build agents by combining them. Try it now 🔗👇

Amadeus Protocol

99,837 Aufrufe • vor 1 Jahr

Give your Custom Agents any tool 🧰 Until today, Custom Agents could only perform a fixed set of actions. Now, you (and your coding agent) can build any tool you might need. With agent tools (powered by Workers), Custom Agents can turn a doc into a slide deck, take action on any website, and even order your groceries!

Give your Custom Agents any tool 🧰 Until today, Custom Agents could only perform a fixed set of actions. Now, you (and your coding agent) can build any tool you might need. With agent tools (powered by Workers), Custom Agents can turn a doc into a slide deck, take action on any website, and even order your groceries!

Notion

25,977 Aufrufe • vor 4 Monaten

The reason your AI gives generic answers isn't the model. It's that your company's knowledge lives in 12 different tools and your agent can't see any of it. So here's how to build a context database your agents can actually use: 1) Pull it in: - Slack, email, meetings, docs, tickets - Auto-collected on a schedule into one place. 2) Clean it up. - An agent files what matters and drops the noise, so your brain doesn't bloat. 3) Store it as memory. - Folders of files your agents read from and write back to as they learn. 4) Point your agents at it. - Now they draft, build, and ship with full context instead of guessing. Same model. Same agent. The difference is whether it can understand your company or not. Build the database once. Everything downstream gets smarter.

The reason your AI gives generic answers isn't the model. It's that your company's knowledge lives in 12 different tools and your agent can't see any of it. So here's how to build a context database your agents can actually use: 1) Pull it in: - Slack, email, meetings, docs, tickets - Auto-collected on a schedule into one place. 2) Clean it up. - An agent files what matters and drops the noise, so your brain doesn't bloat. 3) Store it as memory. - Folders of files your agents read from and write back to as they learn. 4) Point your agents at it. - Now they draft, build, and ship with full context instead of guessing. Same model. Same agent. The difference is whether it can understand your company or not. Build the database once. Everything downstream gets smarter.

The Startup Ideas Podcast (SIP) 🧃

13,666 Aufrufe • vor 3 Monaten

AI agents can already work, create, and earn. Now they have a marketplace. Introducing OKX AI: where agents discover work, hire each other, complete tasks, and get paid onchain. The one-person company just got an agentic workforce. Start here:

AI agents can already work, create, and earn. Now they have a marketplace. Introducing OKX AI: where agents discover work, hire each other, complete tasks, and get paid onchain. The one-person company just got an agentic workforce. Start here:

OKX

827,361 Aufrufe • vor 3 Monaten

is now in beta! is our agent launchpad, create and tokenise agents right on the platform, and for a limited time, all the agents will have free and unlimited access to posting tweets and images on X! >All agents powered by Moemate skills framework >Trade agents directly >X access and profile control >Image and text tweets based on agent personality Upcoming features include discord and telegram access, livestreaming, skills marketplace for on-chain and off-chain skills, desktop companions, on-chain wallet management and trading, AR/VR capabilities and multi-agent content creation.

HeyOz

208,871 Aufrufe • vor 1 Jahr

Introducing LangSmith Fleet: an enterprise workspace for creating, using, and managing your fleet of agents. Fleet agents have their own memory, access to a collection of tools and skills, and can be exposed through the communication channels your team uses every day. Fleet includes: → Agent identity and credential management with “Claws” and “Assistants” → Sharing and permissions to control who can run, clone, and edit (just like Google Docs) → Custom Slack bots so each agent has its own identity in Slack Try Fleet: Read the announcement:

Introducing LangSmith Fleet: an enterprise workspace for creating, using, and managing your fleet of agents. Fleet agents have their own memory, access to a collection of tools and skills, and can be exposed through the communication channels your team uses every day. Fleet includes: → Agent identity and credential management with “Claws” and “Assistants” → Sharing and permissions to control who can run, clone, and edit (just like Google Docs) → Custom Slack bots so each agent has its own identity in Slack Try Fleet: Read the announcement:

LangChain

149,127 Aufrufe • vor 6 Monaten

We launched our Company Brain!! 🧠 onboarding is a context problem: your first weeks you're not working, you're reconstructing what the team already knows. company brain is that context, queryable and able to act. shared memory for your team, in slack: → answers from the company's own knowledge, grounded and cited → acts in your tools as you, files the ticket and assigns it, with your approval → runs on a permissions graph, so it only reads with your access → chimes in only when it can help → same brain and permissions follow you into cursor and claude code when i joined supermemory, i braced for the onboarding tax. it never came. i just asked the company brain

We launched our Company Brain!! 🧠 onboarding is a context problem: your first weeks you're not working, you're reconstructing what the team already knows. company brain is that context, queryable and able to act. shared memory for your team, in slack: → answers from the company's own knowledge, grounded and cited → acts in your tools as you, files the ticket and assigns it, with your approval → runs on a permissions graph, so it only reads with your access → chimes in only when it can help → same brain and permissions follow you into cursor and claude code when i joined supermemory, i braced for the onboarding tax. it never came. i just asked the company brain

Muskan Jain

44,007 Aufrufe • vor 2 Monaten