tools/morph-warpgrep/SKILL.md
Integration guide for Morph's WarpGrep (fast agentic code search) and Fast Apply (10,500 tok/s code editing). Use when building coding agents that need fast, accurate code search or need to apply AI-generated edits to code efficiently. Particularly useful for large codebases, deep logic queries, bug tracing, and code path analysis.
npx skillsauth add letta-ai/skills morph-warpgrepInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Morph provides two tools that significantly improve coding agent performance:
export MORPH_API_KEY="your-api-key"
bun add @morphllm/morphsdk
# or
npm install @morphllm/morphsdk
ripgrep is installed (required for local search):# macOS
brew install ripgrep
# Ubuntu/Debian
sudo apt install ripgrep
# Verify installation
rg --version
After setup, run the included test script on any local repository:
# Clone a test repo (or use any existing codebase)
git clone https://github.com/letta-ai/letta-code.git test-repo
# Install SDK
cd test-repo
bun add @morphllm/morphsdk
# Run test script
export MORPH_API_KEY="your-key"
bun ../scripts/test-warpgrep.ts .
Expected output:
======================================================================
MORPH WARPGREP TEST
======================================================================
Repo: .
SDK: @morphllm/morphsdk
======================================================================
| Query | Result | Time | Files |
|------------------------------------|--------|--------|-------|
| Find the main entry point | ✅ | 5.2s | 2 |
| Find authentication logic | ✅ | 4.1s | 4 |
| Find where configuration is handled | ✅ | 3.8s | 3 |
| Find error handling patterns | ✅ | 4.5s | 5 |
======================================================================
Results: 4 passed, 0 failed
======================================================================
grep/rg is free and fast enough)import { MorphClient } from '@morphllm/morphsdk';
const morph = new MorphClient({ apiKey: process.env.MORPH_API_KEY });
const result = await morph.warpGrep.execute({
query: 'Find authentication middleware',
repoRoot: '.'
});
if (result.success) {
for (const ctx of result.contexts) {
console.log(`File: ${ctx.file}`);
console.log(ctx.content);
}
} else {
console.error('Search failed');
}
interface WarpGrepResult {
success: boolean;
contexts: Array<{
file: string; // File path relative to repo root
content: string; // File content with relevant code
}>;
summary?: string; // Human-readable summary
}
import { MorphClient } from '@morphllm/morphsdk';
import Anthropic from '@anthropic-ai/sdk';
const morph = new MorphClient({ apiKey: process.env.MORPH_API_KEY });
const anthropic = new Anthropic();
// Define WarpGrep as a tool
const tools = [{
name: 'warpgrep_search',
description: 'Search codebase for relevant code. Use for finding implementations, tracing bugs, or understanding code flow.',
input_schema: {
type: 'object',
properties: {
query: { type: 'string', description: 'What to search for' }
},
required: ['query']
}
}];
// Handle tool calls
async function handleToolCall(name: string, input: { query: string }) {
if (name === 'warpgrep_search') {
const result = await morph.warpGrep.execute({
query: input.query,
repoRoot: process.cwd()
});
if (result.success) {
return result.contexts.map(c => `## ${c.file}\n${c.content}`).join('\n\n');
}
return 'No results found';
}
}
Fast Apply merges AI-generated edits into existing code:
import { MorphClient } from '@morphllm/morphsdk';
const morph = new MorphClient({ apiKey: process.env.MORPH_API_KEY });
const result = await morph.fastApply.apply({
originalCode: `function divide(a, b) {
return a / b;
}`,
editSnippet: `function divide(a, b) {
if (b === 0) throw new Error("Division by zero");
return a / b;
}`
});
console.log(result.mergedCode);
const response = await fetch('https://api.morphllm.com/v1/chat/completions', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Authorization': `Bearer ${process.env.MORPH_API_KEY}`
},
body: JSON.stringify({
model: 'morph-v3-fast', // or 'morph-v3-large' for complex edits
messages: [{
role: 'user',
content: `<instruction>Add error handling</instruction>
<code>function divide(a, b) { return a / b; }</code>
<update>function divide(a, b) {
if (b === 0) throw new Error("Division by zero");
return a / b;
}</update>`
}],
temperature: 0
})
});
const data = await response.json();
const mergedCode = data.choices[0].message.content;
Tested on the letta-code repository (~300 TypeScript files) using SDK v0.2.103:
| Query | Result | Time | Files Found |
|-------|--------|------|-------------|
| "Find authentication logic" | ✅ | 4.2s | src/auth/oauth.ts, src/auth/setup.ts, +2 |
| "Find the main CLI entry point" | ✅ | 5.8s | src/index.ts, src/cli/App.tsx |
| "Find where models are configured" | ✅ | 3.1s | src/agent/model.ts, src/models.json, +1 |
| "Find how memory blocks work" | ✅ | 3.9s | src/agent/memory.ts, src/agent/memoryFilesystem.ts, +1 |
| "Find the settings manager" | ✅ | 2.9s | src/settings-manager.ts, src/settings.ts |
5/5 tests passed
WarpGrep is an agentic search that runs up to 4 turns:
┌─────────────────────────────────────────────────────────────┐
│ Turn 1: Analyze query, map repo structure, initial search │
├─────────────────────────────────────────────────────────────┤
│ Turn 2-3: Refine search, read specific files │
├─────────────────────────────────────────────────────────────┤
│ Turn 4: Return all relevant code locations │
└─────────────────────────────────────────────────────────────┘
The SDK handles the multi-turn conversation automatically, executing local tools:
| Tool | Description | Implementation |
|------|-------------|----------------|
| grep | Regex search across files | Uses ripgrep (rg) |
| read | Read file contents | Local filesystem |
| list_dir | Show directory structure | Local filesystem |
┌──────────────────────────────────────────────────────────────┐
│ Your Code / Agent │
└──────────────────────────┬───────────────────────────────────┘
│
▼
┌──────────────────────────────────────────────────────────────┐
│ @morphllm/morphsdk │
│ ┌─────────────────────────────────────────────────────────┐ │
│ │ 1. Build repo structure │ │
│ │ 2. Send query to Morph API │ │
│ │ 3. Execute local tools (grep, read, list_dir) │ │
│ │ 4. Multi-turn refinement │ │
│ │ 5. Return relevant code contexts │ │
│ └─────────────────────────────────────────────────────────┘ │
└──────────────────────────┬───────────────────────────────────┘
│
┌──────────────┴──────────────┐
▼ ▼
┌───────────────────────┐ ┌───────────────────────┐
│ Morph API │ │ Local Filesystem │
│ (morph-warp-grep-v1) │ │ (ripgrep, fs) │
└───────────────────────┘ └───────────────────────┘
From Morph's SWE-bench evaluation with Claude 4.5 Opus:
| Metric | Without WarpGrep | With WarpGrep | Improvement | |--------|------------------|---------------|-------------| | Input Tokens | 14K | 9K | 39% fewer | | Agent Turns | 35.0 | 26.0 | 26% fewer | | Tasks Solved | 74.4% | 81.9% | 10% more |
Source: Morph WarpGrep Benchmarks
import { MorphClient } from '@morphllm/morphsdk';
const morph = new MorphClient({ apiKey: process.env.MORPH_API_KEY });
// 1. Search for relevant code
const result = await morph.warpGrep.execute({
query: 'Where is the payment processing logic?',
repoRoot: '.'
});
// 2. Use found contexts to inform next steps
if (result.success) {
const relevantFiles = result.contexts.map(c => c.file);
console.log('Found relevant files:', relevantFiles);
// Now read/edit these specific files
}
import { MorphClient } from '@morphllm/morphsdk';
const morph = new MorphClient({ apiKey: process.env.MORPH_API_KEY });
// 1. Find the code to modify
const search = await morph.warpGrep.execute({
query: 'Find the user validation function',
repoRoot: '.'
});
if (search.success && search.contexts.length > 0) {
const targetFile = search.contexts[0];
// 2. Apply an edit
const result = await morph.fastApply.apply({
originalCode: targetFile.content,
editSnippet: '// Add your modified version here'
});
console.log(result.mergedCode);
}
For personal use with Claude Code, Cursor, or other MCP clients:
# Install MCP server
claude mcp add morph --scope user -e MORPH_API_KEY=YOUR_API_KEY --npx -y @morphllm/morphmcp
This adds a warpgrep_codebase_search tool to your MCP client.
# Install ripgrep
brew install ripgrep # macOS
sudo apt install ripgrep # Ubuntu/Debian
# Verify
rg --version
# Verify API key works
curl -X POST https://api.morphllm.com/v1/chat/completions \
-H "Authorization: Bearer $MORPH_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"morph-v3-fast","messages":[{"role":"user","content":"test"}]}'
Ensure you're using the latest SDK:
bun add @morphllm/morphsdk@latest
# or
npm install @morphllm/morphsdk@latest
testing
Navigates archived ChatGPT or Claude-style conversation exports and a MemFS reference archive on demand. Use when recalling what a past assistant knew, searching old conversations, rendering specific chats, seeding reference memory from export sidecars, or mining historical context without doing a full import.
testing
Migrates deprecated Letta Filesystem folders/files to MemFS using markdown document corpora, chunking, local lexical search, and QMD semantic search via the memfs-search skill. Use when replacing folders.files.upload, working with PDFs or document QA, or emulating open_file, grep_file, and search_file behavior.
data-ai
Configures Letta agent compaction settings and custom summarization prompts. Use when a user asks to change an agent's compaction prompt, improve summaries after context eviction, tune sliding-window or all-message compaction, or design companion/coding-agent continuity summaries.
development
Semantic search over agent memory files. Use when you need to find conceptually related memory blocks, discover forgotten reference files, check what you already know before creating new memory, or search beyond exact keyword matching. Currently supports QMD (local, no API keys).