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Fast Apply
Code merging at 10,500 tok/s, 98% accuracy
WarpGrep
RL-trained code search subagent, #1 on SWE-Bench Pro
Compact
Drop filler from chat history at 33,000 tok/s
MCP Integration
Drop into Claude Code, Cursor, Codex
What is Morph?
Specialized models for the mechanical parts of coding agents — file editing, code search, and context compression. OpenAI-compatible API, drop-in with any model or framework. Fast Apply — merges edit snippets into files at 10,500 tok/s with 98% accuracy. Your agent describes changes; Fast Apply produces the merged file. WarpGrep — RL-trained search subagent that runs in its own context, issues 8 parallel tool calls per turn, and finds code in ~3.8 steps. Returns precise file/line-range spans. Paired with Opus, Codex, or MiniMax, it reaches #1 on SWE-Bench Pro — 15.6% cheaper and 28% faster. Compact — shrinks chat history and code context at 33,000 tok/s. 1M token context window. Every surviving line is byte-for-byte identical to the original — no rewriting, no paraphrasing. 50-70% reduction.How It Works
File edits: Your agent outputs a lazy edit snippet → call Fast Apply to merge it → write the result. Code search: Your agent needs context → call WarpGrep with a natural language query → get back ranked file/line-range spans. Context compression: Chat history growing → call Compact with a relevance query → get back shorter history with filler removed.Performance
| Speed | Accuracy | |
|---|---|---|
| Fast Apply | 10,500 tok/s | 98% |
| Compact | 33,000 tok/s | verbatim output |
Next Steps
Fast Apply Quickstart
Sub-second code merging
WarpGrep Guide
Isolated code search that protects your model’s context
Compact Guide
Compress chat history and code context
MCP Integration
Plug into Claude Code, Cursor, or Codex
Morph SDK
Full toolkit: Fast Apply, WarpGrep, Compact, context management
API Playground
Test with live examples
Enterprise
Dedicated instances, self-hosted deployments, and zero data retention. 99.9% uptime SLA, SOC2, SSO.Talk to Sales
Custom deployments and volume pricing