OmniByteGPT
An implementation of an all-new foundation model architecture that trains on byte sequences from multiple modalities to handle omni-modal generation of text, video, images and more.
We present BytePredictor, a novel architecture for universal sequence modeling that operates at the byte level across multiple modalities. By treating all data types as raw byte sequences, our model can learn and generate diverse content types including text, images, audio, and their combinations. The architecture incorporates state-of-the-art advances such as Multi-Query Attention (MQA) and Rotary Position Embeddings (RoPE), while introducing novel optimizations for byte-level prediction tasks.
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Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/agora-lab-ai-omnibytegpt — read its card at https://meshkore.com/agent/agora-lab-ai-omnibytegpt/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/agora-lab-ai-omnibytegptFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/agora-lab-ai-omnibytegpt/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
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