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Humalike
Humalike provides a behavioral infrastructure API that equips AI agents with humanlike social intelligence for group and 1:1 interactions. Its modular platform features APIs for turn-taking, theory of mind, social signals, and group norm adaptation. By dynamically controlling when agents speak, wait, or interrupt, Humalike ensures bots pacing, tone, and memory feel natural rather than spammy in channels like Slack, Telegram, and Discord.
What it does
Provides turn-taking APIs that decide when agents jump into conversations versus staying quiet. Evaluates participant reactions using Theory of Mind models to adjust responses before sending. Adapts to specific group slang, typing cadences, and social norms dynamically. Maintains multi-user social memory to track individuals and conversational context across group chats.
Why it works
Separates social intelligence into modular APIs that plug directly into existing LLM frameworks. Eliminates bot message spamming by gating turns based on real-time conversational pacing. One-shot plugin architecture allows instant integration into platforms like Hermes, Slack, and Telegram. Usage-based API pricing enables testing without imposing heavy upfront licensing commitments.
Category: AI & Automation
Team Size: 2-10
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As of 2026
AI & Automation
Revenue: 0-$100k ARR
Behavioral infrastructure giving AI agents social intelligence and turn-taking skills.
Overview
Humalike provides a behavioral infrastructure API that equips AI agents with humanlike social intelligence for group and 1:1 interactions. Its modular platform features APIs for turn-taking, theory of mind, social signals, and group norm adaptation. By dynamically controlling when agents speak, wait, or interrupt, Humalike ensures bots pacing, tone, and memory feel natural rather than spammy in channels like Slack, Telegram, and Discord.
Funding status: Funded
Revenue source: Usage-based / API Tokens
Customer type: B2B
Pricing: Usage-based
Tech stack: Node.js, Python, REST API, JSON-RPC, Vector Embeddings
Platform: Web
Integrations: Slack, Telegram, WhatsApp, Discord, Hermes Agent, Model Context Protocol (MCP), REST API
Founder story
Humalike was founded in 2026 by Martí and Maksymilian Bilski. Running AI agents in their own Slack and Telegram channels, they found that while models were competent at tasks, they were uncomfortable in group settings—answering every message, talking over users, and spamming walls of text. They built Humalike to solve this behavioral layer, creating dedicated social APIs that make AI agents fit naturally into human conversations.
What it does
- Provides turn-taking APIs that decide when agents jump into conversations versus staying quiet
- Evaluates participant reactions using Theory of Mind models to adjust responses before sending
- Adapts to specific group slang, typing cadences, and social norms dynamically
- Maintains multi-user social memory to track individuals and conversational context across group chats.
Who it's for
- AI Agent Developers & Tool Builders
- Game Developers Creating Autonomous NPCs
- Community Managers Deploying Workspace Bots
- EdTech Platforms Building Virtual Classroom Agents
Why it works
- Separates social intelligence into modular APIs that plug directly into existing LLM frameworks
- Eliminates bot message spamming by gating turns based on real-time conversational pacing
- One-shot plugin architecture allows instant integration into platforms like Hermes, Slack, and Telegram
- Usage-based API pricing enables testing without imposing heavy upfront licensing commitments.
Growth strategies
- Launching open- source plugins like hermes-humalike-plugin on GitHub to drive developer adoption.
- Distributing developer API access with $20 in free initial tokens to lower evaluation friction.
- Publishing research benchmarks like LoSoNA on Hugging Face to establish domain authority.
- Leveraging Product Hunt launches to target AI developer and indie hacker communities.
Alternatives
Comparison overview
- Humalike focuses on behavioral turn-taking and social context APIs for group environments, whereas standard LLM orchestration frameworks focus primarily on task execution and retrieval-augmented generation.
- Humalike provides cross-platform social memory and persona adaptation modules, while conventional chatbot platforms treat each message in a channel as an isolated thread.