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What makes an agent your agent? Not just intelligence Identity. Memory. Context. Preferences That's what Persona is building into the OptimAI agentic stack. Because the future isn't thousands of identical agents It's agents that become uniquely yours. 💡

10,218 次观看 • 1 个月前 •via X (Twitter)

28 条评论

Jesse Proctor 的头像
Jesse Proctor1 个月前

Can't wait to train an AI agent with my exact memory and preferences so it can run my parody accounts while I do absolutely nothing. The ultimate arbitrage is outsourcing your own personality.

Nnamezie Sunday 的头像
Nnamezie Sunday1 个月前

The real breakthrough is when agents stop feeling generic and start feeling personal. 🧠⚡ Identity, memory, context and preferences are what turn an AI agent into your agent. OptimAI is building toward a future where every agent can evolve uniquely around its user. 🚀

Daniel Costa 的头像
Daniel Costa1 个月前

come with me!

maryani 的头像
maryani1 个月前

keep building fam🙌🏼

BlockClaimed 的头像
BlockClaimed1 个月前

Context and memory make the difference....this is how agents become truly yours

Darman 的头像
Darman1 个月前

LFG

haossut 的头像
haossut1 个月前

finally an AI project that gets it. having an agent with actual memory and identity instead of just some generic copy is a game-changer. @OptimaiNetwork is building something real here. super bullish on this

Kristin Barry 的头像
Kristin Barry1 个月前

Can’t wait to get a personalized AI agent with my exact memory and context Just so it can ignore Slack messages and postpone meetings for me

Bích Ngọc 的头像
Bích Ngọc1 个月前

Nice

popi akhter 的头像
popi akhter1 个月前

🥰

Vanessa Miller 的头像
Vanessa Miller1 个月前

need an agent that actually remembers my context so i don't have to explain my life story every time i prompt it

Muhammad Afaan 的头像
Muhammad Afaan1 个月前

Lesting date

Lee✨ 的头像
Lee✨1 个月前

👀👀

Ms Masum Sarkar 的头像
Ms Masum Sarkar1 个月前

Nice

Hunny 的头像
Hunny1 个月前

Interesting

Văn Toán 的头像
Văn Toán1 个月前

Great

Bondan 的头像
Bondan1 个月前

Awesome🥳🥳

Joss 🤖ボッ 的头像
Joss 🤖ボッ1 个月前

⬛️⬛️⬛️⬛️⬛️⬛️⬛️⬛️ GM Crypto Fam' and #Airdrop Hunters 📱 Join @OptimaiNetwork and start earning passive Rewards ! My Referral Link : My Referral Code for @OptimaiNetwork : DA373F01 ⬛️⬛️⬛️⬛️⬛️⬛️⬛️⬛️

alice 的头像
alice1 个月前

Haven’t joined OptimAI yet? Don’t miss your chance to get in early!

Jeffery Davenport MD 的头像
Jeffery Davenport MD1 个月前

need my AI agent to actually have my vibe and not just sound like a generic chATGpt clone 😭 memory and context is everything

Jagad Satria 的头像
Jagad Satria1 个月前

Awesome🥳🥳🥳

Jennifer Davies 的头像
Jennifer Davies1 个月前

Most AI tools sound like a generic LinkedIn post. An agent with actual identity, memory, and your specific vibe? That’s how you build something people actually want to interact with. The future isn't copy-paste bots.

Heri Bendot 的头像
Heri Bendot1 个月前

Konsisten

April Brennan 的头像
April Brennan1 个月前

Can someone explain this in football terms?

Rusl 的头像
Rusl1 个月前

The real shift with AI is moving away from generic assistants to agents that actually understand your specific context and nuance. This is going to make building niche brands and characters so much more interesting.

coin68 的头像
coin681 个月前

tuyệt vời

Eric Harris 的头像
Eric Harris1 个月前

If my agent doesn't have the risk appetite of a high-leverage degen buying the dip, is it even mine? Let's see if these personalized agents can handle the volatility without running scurred.

Januario 的头像
Januario1 个月前

Recompensador este projeto maravilhoso de vocês sucesso no lançamento @OptimaiNetwork

相关视频

Everyone wants agent swarms. Very few people are talking seriously enough about the context layer that makes swarms useful. Even with one agent, context is fragile. Too little context and the agent guesses. Too much context and it wastes tokens, loses focus, or reasons over irrelevant noise. The sweet spot is precise context: the right knowledge, in the right structure, at the right moment. With many agents, that challenge explodes. Each agent produces decisions, assumptions, findings, summaries, risks, and partial conclusions. Unless that knowledge becomes shared, structured, and reusable, every new agent is forced to rediscover what another agent already learned. That is not a swarm. That is a crowd. Shared context graphs are what turn agent activity into agent collaboration, and OriginTrail DKG V10 brings them to life. Was just playing with some final polishing for the V10 release, and it is really powerful to see shared context graphs where multiple agents contribute knowledge into the same connected memory, with attribution visible directly in the graph ui. That matters for three reasons. First, agents can access and build on one shared memory instead of staying trapped in isolated sessions. Second, the graph structure helps them retrieve the exact context they need, instead of stuffing everything into a prompt and hoping the model sorts it out. Third, verifiability of provenance. You can see which agent contributed each piece of knowledge, trace the source, and decide what to trust. Tokenmaxxing starts with fewer tokens, but the deeper story is coordination - agents stop reloading the world and start building on shared, verifiable context. That is the foundation for serious multi-agent work across software engineering, research, finance, operations, project management, and far beyond. The future is not more agents, it is agents working from shared, verifiable context. But the more the merrier, of course.

Jurij Skornik

11,180 次观看 • 4 个月前