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I want to improve my coding agent (Claude Code, Codex, Cursor, etc...)

Drop in Fast Apply and WarpGrep to make your agent 2x faster with half the tokens

I'm building my own coding agent

Start with our SDK—Fast Apply for edits, WarpGrep for search, embeddings for context

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What is Morph?

Morph provides specialized subagents and models that improve AI coding agents. Where frontier models like Claude and GPT-4 handle reasoning, Morph handles the fast, repetitive tasks: finding code, merging edits, ranking results. Two core models: Fast Apply — Merge AI-generated edits into code at 10,500 tokens/sec with 98% accuracy. No more full-file rewrites or brittle search-and-replace. WarpGrep — Intelligent code search that’s 20x faster than Claude’s stock grepping. Sub-agent that plans searches, ranks results, and returns only relevant context. Both integrate as simple tools in your agent loop. Claude writes the edit, Fast Apply merges it. Claude needs code, WarpGrep finds it. Start Here → Quickstart Guide

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The Problem

Building a coding agent means solving two hard problems: Finding the right code: You need to search large codebases, understand context, and avoid polluting your prompt with irrelevant files. Applying changes correctly: Full-file rewrites are slow and expensive. Search-and-replace is brittle—86% accurate, fails on whitespace, burns tokens on self-correction loops. Morph solves both. WarpGrep retrieves relevant code in seconds. Fast Apply merges edits in milliseconds with 98% accuracy.

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How It Works

For file edits:
  1. Your agent outputs a lazy edit snippet (just the changes, using // ... existing code ... markers)
  2. Call Morph’s Fast Apply API to merge it
  3. Write the result to your filesystem
For code search:
  1. Your agent needs to find authentication middleware
  2. Call WarpGrep with a natural language query
  3. Get back ranked results with precise context—no noise
Both are drop-in tools. No infrastructure changes. OpenAI-compatible API.

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Core Models

Fast Apply

Merge AI edits at 10,500 tok/s with 98% accuracy—60x faster than alternatives

WarpGrep

Code search sub-agent that’s 20x faster than Claude’s stock grepping

Embeddings

Code-specific embeddings trained on millions of commits

Reranking

Rerank search results to pack prompts with relevant code

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Why Morph?

Speed matters. @swyx and @cognition found that every 1 second of latency adds 10% to the probability of breaking developer flow. Morph keeps agents fast:
  • 10,500 tok/s for edits (vs. 100 tok/s for GPT-4o rewrites)
  • 20x faster code search than frontier models
  • 50% fewer tokens by avoiding full-file rewrites and context pollution
Integration is trivial. OpenAI-compatible API. Native support for Anthropic, OpenAI, Vercel AI SDK, and MCP. Add it to your agent in 10 lines of code. Built for production. 98% accuracy on edits. Sub-second search on million-line codebases. Dedicated instances and self-hosted options for enterprise.

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Next Steps

If you’re improving an existing agent:

Fast Apply Quickstart

Replace full-file rewrites with Fast Apply in 5 minutes

Add WarpGrep

Give your agent intelligent code search
If you’re building from scratch:

Morph SDK

Start with our SDK—includes Fast Apply, WarpGrep, and context tools

MCP Integration

Use Morph via Model Context Protocol for instant setup
Or try it first:

API Playground

Test Fast Apply and WarpGrep with live examples—no setup required

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Enterprise

Your code. Your infrastructure. Your performance SLA.
  • Dedicated Instances: Managed cloud with guaranteed performance and 99.9% uptime
  • Self-Hosted: Deploy on-premises or in your VPC with full control
  • Zero Data Retention: Enterprise security, audit trails, and SSO integration

Talk to Sales

Custom deployments and volume pricing