Humalike
Give your AI agents the social intelligence they're missing
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Humalike - Give your AI agents the social intelligence they're missing

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Today's models are capable enough. Smart enough. Fast enough. But we still feel they don’t fit in the room. Humalike is building the behavioral infrastructure for humanlike AI agents. The social skills & proactiveness your agents have been missing. APIs, models, benchmarks.

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Maker
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Hey PH 👋 Martí here, co-founder of Humalike.

What is Humalike? The behavioral infrastructure for humanlike AI agents. The social skills your agents have been missing.

The problem
A few months ago we built an AI community manager. The second it hit a group chat, everyone knew it was a bot. It talked over people, never knew when to shut up. More features didn't fix it. Today's models are capable enough. Smart enough. Fast enough. But we still feel they don’t fit in the room.

The solution: 7 behavioral APIs

  • Turn-Taking (Flagship): Knows when to speak and when to stay silent (bundles all other APIs in one).

  • Theory of Mind: It gives your agent a sense of what people really think and feel.

  • Norms: Reads the group’s tone and responds the way it’s accepted here.

  • Persona: Improve presonality so it’s Opinionated, takes sides, backed by real community data

  • Social Memory: It gives your agent a memory for people, who they are and what matters to them.

  • Social Signals: Catches the pause before sending, a removed reaction, and an edited message.

  • Social Observability: Sees who’s engaged, who’s bored, and who’s annoyed.

Model, use-case and stack agnostic, built for groups, not just 1:1.

Extra highlights

  • 💸 $20 in free tokens to start building

  • 🔌 One-shot integrations with Hermes, WhatsApp & Telegram

  • 📄 Backed by in-house research: LoSoNA (social-norm benchmark) + HUMA (a human-passing group facilitator)

  • 🔒 SOC 2 / ISO 27001 in progress

Who It's for: Anyone building agents that must feel human, AI companions, NPCs, tutors, voice agents, groups, humanoids. If you've ever shipped an agent that was smart but experience using it felt wrong, Humalike is for you.

What we'd love from you: Grab your $20 in tokens, and tell us, how did our APIs improve the experience? Try with Hermes, Openclaw, or any agent you have deployed! We'll be here all day reading every comment, your feedback shapes what we ship!

Backed by the first investors in ElevenLabs, Revolut & more.
Built by a tiny 🇪🇸×🇵🇱 team that hasn't slept much :))

 the turn-taking problem is so underrated. everyone's focused on making agents smarter but the thing that breaks trust in group settings is way more basic, it's the agent that won't shut up or doesn't read when the room has moved on. curious how you're handling conflict between norms and persona, like when the group tone is reserved but the persona is configured to be opinionated?

Maker

 

totally, that's the underrated part, the agent that won't shut up or misses that the room has moved on is what breaks trust.

On norms vs persona: the norms moderate how the agent behaves, but the personality stays the same. A reserved room doesn't change who the agent is, just how and when it expresses it. The persona still takes a side, it's just more measured and better timed. Like a person who's opinionated but reads the room first.

Maker

 100% agree + good intuition :)) tysm for the support

 This is a really interesting problem. Everyone keeps trying to make agents smarter, but half the battle is just making them less "awkward", not trying to anthropomorphize them. But if they are indeed going to be "teammates" of the future, as some think, then knowing when to talk, when to wait, and when to stay quiet matters a lot more than people realize.

Congrats on the launch, excited to see where this goes.

Maker

   Thanks for support! We see a world few years from know where AI is on every platform, every communication channel, and every physical location. These agents will interact with humans and groups of humans just like we interact with each other. AI doesn't need to become "just like human" but it has to adapt to social setting to work alongside us.

Maker

 tysm for the supp Gabe! 100% agree with you

Looks like "groups, not 1:1" framing is the one most people might underrate. Really good! Turn-taking in a 2-person chat is mostly a latency problem, but the second there are 4 people in the room the agent has to decide whether to speak at all, which is a completely different thing.

Wonder when you're stack-agnostic, how do you actually capture a deleted draft or a pulled reaction? I guess on most platforms that event never leaves the client

Maker

 Hey, you nailed it with that question!

The platform forwards those events (edits, removed reactions, a typing indicator that stops) to you, you send them to us, and we do the interpretation. The hard part is understanding of what do these signals actually mean, f.e., if a person removed a reaction from a message, it could mean a change of heart or nothing at all, depending on the context. Right now agents are not able to interpret these signals, and that's where we come in.

Happy to go deeper on any of this, just ask!

Maker

 100%!! Thanks for your support Art

The Turn-Taking API is the part that jumps out at me. I build voice AI that calls elderly parents every day, and the single hardest thing has been the bot cutting people off. Older folks pause mid-sentence to find a word, and every VAD setup I've tried reads that silence as their turn ending. How does Turn-Taking handle long, uneven pauses? Is it purely acoustic timing, or does it factor in whether the thought is actually complete? Following to see where the benchmarks land.

Maker

 It is a hard problem, not solved well by anyone yet, especially in group conversations. One hard thing about it is that you can't only rely on what other person is doing (e.g. is there a moment of silence), but turn-taking needs to take into account personality of your agent, it's goals, it's relationship with human, it's memory etc. With this launch we tackle this problem for text and online chat first, while we work on end-to-end model for turn-taking in voice.

Maker

 tysm for the supp Igor!

"Knows when to speak and when to stay silent" that line is doing a lot of work, and it's the whole ballgame. I run Pushary (permission requests shot to your lock screen so you always come back to a completed task), and knowing when not to fire is harder and more valuable than the sending itself. Nice to see someone treat social behavior as real infrastructure instead of a clever prompt, and build it for groups rather than just 1:1. Congrats on the launch, rooting for you. 🚀

Maker

 Social behavior is a hard problem to solve, clever prompt might still always be needed, but it's not a reliable solution if you aim to deliver a top user experience! Looking forward to checking Pushary :)))

Maker

 That's totally accurate, the when to stay silent is one of the hardest problems we've been working on.

Good luck with Pushary too!

 

feel free to reach out if user permissions learnings/data (hashed user information) could help in someway, looking forward to seeing Humalike #1 today!

Maker

   I'm gonna be pissed if you guys don't go #1 today

The social observability feature seems really interesting. It’s something I feel humans can do very naturally so It’ll be interesting to see agents being able to read the room just like humans.

Will try this out with my agents!

Maker

 Exactly, most agents are blind to that layer entirely, with our social observability API, agents can now see how the environment is feeling and adjust their behavior based on it, delivering a much better experience.

Would love to hear how it goes when you try it out with your agents!

P.S. Waiting for your feedback ;)

Maker

 Thank you so much for the comment Chitranish! I will gladly assist if you need any help :)

Maker

Hey everyone! I'm Mateusz, co-founder and CTO of Humalike 👨‍💻

We put a lot of effort to transform our in-house research and know-how gained in the past year into a product everyone can use. Today we are releasing 7 APIs you can plug-in to your agent or product

Research

Our team includes people previously working at NVIDIA, Revolut, TSMC and High Frequency Trading firms. Making AI behave in humanlike way in social scenarios is a hard hard hard problem. We publish part of our research, feel free to give it a look:


Security
We are in the process of getting SOC 2 compliant which is gold standard of security, reliability and safety of data 🔒

Theory of Mind is the hardest one to get right, honestly.

How are you evaluating whether it's actually working vs just inferring emotions in an obvious way?

Maker

 Hey! It's hard to evaluate Theory of Mind, as anything in Social Intelligence problem space :)
There was pre-existing body of research about LLM's theory of mind capabilities and the interesting finding is that LLMs already have some level of literal theory of mind but they have hard time using this information to adjust their own behavior - which is called functional theory of mind. We rely on that research and our in-house research when approaching this problem.

Interesting read:

Maker

 Totally! tysm for the supp Abdul :))

Maker

Hey! Ignacio here, Founding Product Engineer at Humalike.

We encourage you to integrate our APIs into your agents and watch their performance improve immediately in social scenarios. Trust me, you won't want to go back to your old agent behaviour. ;)

P.S. Enjoy your free credits on sign-up!

Maker

Hey everyone, I’m Mateusz, founding researcher at Humalike.

For me, the interesting problem is the gap between intelligence and behavior. Agents are getting very capable, but they still often feel awkward in real conversations.

Humalike is our attempt to work on that missing layer.

Maker

Hey! Maks here, Founding Engineer at Humalike 👋

Besides the raw APIs, we also open-sourced a Hermes Agent plugin that plugs them straight in (Turn-Taking, Persona via `/soul enhance`, Theory of Mind and Social Learning), so you get the behavior without writing the integration yourself. ⚡️

If you're running a Hermes agent it's a one-drop-in. If not, the code is a decent reference for how the APIs fit together. MIT-licensed: 🔌

If you have any questions, feel free to reach out to me anytime, happy to help. 🙌

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