
Jelajahi Agora-1, model dunia multi-agent interaktif. Mainkan bersama 4 agen AI/manusia dalam simulasi real-time bergaya GoldenEye.

Agora-1 adalah model dunia multi-agen revolusioner yang dikembangkan oleh Odyssey, memungkinkan banyak peserta—manusia atau AI—berbagi dan berinteraksi dalam simulasi dunia yang sama secara real-time. Dibangun di atas sistem kausal dan multimodal yang belajar memprediksi dan berinteraksi dengan dunia dalam jangka waktu panjang, Agora-1 mewakili lompatan besar dalam teknologi model dunia tujuan umum.
Agora-1 dirancang untuk peneliti AI, insinyur robotika, pengembang game, dan inovator teknologi yang ingin mengeksplorasi sistem multi-agen dan model dunia. Produk ini menarik bagi organisasi yang mendorong batas-batas kecerdasan buatan umum dan mereka yang memerlukan platform simulasi canggih untuk pelatihan, penelitian, atau aplikasi interaktif.

Run multiplayer game simulations with an AI world model
Massively multi-player game played by talking to an LLM

open source agent engineering platform

Open-source runtime for durable AI agents

Build coding agents with a plugin-based open-source runtime

AI agents built directly into Unity workflows

Open source, free, local debugger for AI agents.

Shared AI memory that stops agents from repeating mistakes

Recruit agents to run your company as a synchronous team

Open robotics model that reasons in 3D before acting

build your own software factory

Open-Source Brain For Your Team

The agentic team member for high-stakes operations

Open-source alternative to Codex & Claude Code

AI Meeting companion with cross-meeting memory

An open source AI harness built with the human in mind
AI agents that turn signals into crypto + Polymarket trades

Skip the prompting. Produce consistently compelling videos.

An AI wearable that remembers your conversations all day

Al sleep companion that helps fall asleep without struggle
The scraping service AI agents run on

Your Chief Agent Operator for multi-agent work

Scrape emails from socials and maps by location

Predict the next Series A from a ProductHunt launch