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Morph

Fast specialized models for coding agents: apply, search, compaction and routing.

Morph (YC S23) provides a model API for coding agents. Fast Apply models merge LLM-generated edits into files (the site cites 10,500 tok/s), WarpGrep is a code-search subagent, and Compact compresses context while keeping original bytes; it also serves open-weight agent-loop models and a router. Access is via an OpenAI-compatible API, TypeScript and Python SDKs, OpenRouter, an MCP server, and CLI/skills for Claude Code, Cursor, Codex and OpenCode, with self-hosting for enterprise. YC lists founder Tejas Bhakta and Columbus, OH.

Featured

Devin, the AI software engineer, and the Windsurf IDE.

Cognition builds Devin, an autonomous AI software engineer that plans and executes engineering tasks end-to-end, and acquired the Windsurf agentic IDE in 2025. One of the defining startups of the coding-agent wave.

~$10.2B valuation (Sep 2025)

3 pros · 4 cons

Serverless cloud built for AI and agentic compute.

Modal lets teams run inference, fine-tuning and arbitrary agent workloads as serverless Python without managing infrastructure — a common substrate for harness backends at scale.

4 pros · 4 cons

Durable execution for long-running agent workflows.

Temporal's durable execution engine is widely adopted to make agent pipelines reliable: state survives crashes, retries are automatic, and workflows run for minutes or months. A key piece of serious harness infrastructure.

$430M total · $300M Series D (Feb 2026) at $5B valuation

3 pros · 4 cons

Connections

Relations from the Harness Hub knowledge graph, as charted in the State of Harness reports.

Built on · 3

Sources

  1. Morph homepage
  2. Y Combinator: Morph