TLDR: Morph: the “other models” you need to build the best coding agents like Cursor and Windsurf.
Retrieve and rerank code, stuff context, and apply edits to files FAST. Relevant context, fast applies, every time.
Morph Apply: The fastest way to apply updates from Claude, GPT-4o, and others into any file - codebases, docs, etc - 2000+ tok/sec
Benchmarked on a 9,000 token file, ~4 seconds
There’s no good way to apply edits that models want to make into files. Outputting the full file again is slow and expensive. Diff/Patch edits are brittle and a poor product experience.
In a production setting, AI agents need to update thousands of files. What about when you have a 50k token docx to update? Or when you need to be world-class at retrieving relevant info from a 500+ file repo?
Morph is the foundational infrastructure for AI Coding Agents that work and feel amazing - not a quick demo.
Tired: Chunked RAG and having Claude re-output full files
Wired: Syntax-aware embeddings, reranking, and Fast Apply models = the perfect product experience
Cursor and Windsurf roughly do this:
We provide:
Morph Apply: Fast Apply model: Merge updates from GPT-4o, Claude, and others into your files in under 2s (1600 toks/second)
Morph Embeddings: Syntax-aware embeddings, built for code
Morph Reranking: Rerank functions/classes or file snippets to stuff your context with only the relevant context - every time.
Morph SDK: Intelligently watch for file changes + smarter embeddings.
Morph Fast Apply dropped errors by 8x vs. patch-based edits in our internal IDE and worked on our largest files - Staff Eng @ Fortune-50
If you’re building the Cursor for ___, or building agents that modify code:
Email us: info@morphllm.com
Grab a Time Here
Get Started for Free: https://morphllm.com