Autoresearch Made Our Models 3x Faster — Tejas Bhakta, Morph
AI Engineer World's Fair 2026 · 7:30
Inference and specialized models for coding agents
Morph provides inference and specialized models for teams building coding agents. Fast Apply merges generated edits into code, WarpGrep searches repositories, and Compact reduces the context agents carry through long sessions. Its inference service also serves open-weight models from providers including Qwen, MiniMax and DeepSeek, giving developers access to general-purpose models alongside tools for individual steps in an agent’s workflow.
Tejas Bhakta is an active founder. Morph’s engineering approach separates tasks such as search, editing, compaction and model routing into specialized models. Reflex extends that approach to behavioral monitoring: classifiers read conversation turns to flag problems such as repeated loops, user frustration, jailbreaks and policy violations that ordinary request logs can miss. Teams can also train their own classifiers.
Developers can integrate Morph through OpenAI- and Anthropic-compatible APIs, MCP and the AI SDK, and deploy it on Morph’s cloud or their own infrastructure, including on-premises systems. Its website reports more than 100 billion tokens per day and over 400 production agents.
AI Engineer World's Fair 2026 · 7:30
Affiliations reflect their AIE appearances, not necessarily current employment.