This skill covers using GOB (Go Binary) as the storage backend for GrepAI, the default and simplest option.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiongrepai-storage-gobExecute the skills CLI command in your project's root directory to begin installation:
Fetches grepai-storage-gob from yoanbernabeu/grepai-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate grepai-storage-gob. Access via /grepai-storage-gob in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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This skill covers using GOB (Go Binary) as the storage backend for GrepAI, the default and simplest option.
GOB is Go's native binary serialization format. GrepAI uses it to store:
Everything is stored in a single local file.
| Benefit | Description |
|---|---|
| 🚀 Simple | No external services needed |
| ⚡ Fast setup | Works immediately |
| 📁 Portable | Single file, easy to backup |
| 💰 Free | No infrastructure costs |
| 🔒 Private | Data stays local |
| Limitation | Description |
|---|---|
| 📏 Scalability | Not ideal for very large codebases |
| 👤 Single user | No concurrent access |
| 🔄 No sharing | Can't share index across machines |
| 💾 Memory | Loads into RAM for searches |
GOB is the default backend. Minimal config:
# .grepai/config.yaml
store:
backend: gob
store:
backend: gob
# Index stored in .grepai/index.gob (automatic)
GOB storage creates files in your project's .grepai/ directory:
.grepai/
├── config.yaml # Configuration
├── index.gob # Vector embeddings
└── symbols.gob # Symbol index for trace
Approximate .grepai/index.gob sizes:
| Codebase | Files | Chunks | Index Size |
|---|---|---|---|
| Small | 100 | 500 | ~5 MB |
| Medium | 1,000 | 5,000 | ~50 MB |
| Large | 10,000 | 50,000 | ~500 MB |
# Initialize project
grepai init
# Start indexing (creates index.gob)
grepai watch
grepai status
# Output:
# Index: .grepai/index.gob
# Files: 245
# Chunks: 1,234
# Size: 12.5 MB
# Last updated: 2025-01-28 10:30:00
# Simple file copy
cp .grepai/index.gob .grepai/index.gob.backup
# Delete and re-index
rm .grepai/index.gob
grepai watch
# Copy entire .grepai directory
cp -r .grepai /path/to/new/location/
# Note: Only works if using same embedding model
GOB loads the entire index into RAM for searches:
| Index Size | RAM Usage |
|---|---|
| 10 MB | ~20 MB |
| 50 MB | ~100 MB |
| 500 MB | ~1 GB |
GOB provides fast searches for typical codebases:
| Codebase Size | Search Time |
|---|---|
| Small (100 files) | <50ms |
| Medium (1K files) | <200ms |
| Large (10K files) | <1s |
Consider PostgreSQL or Qdrant when:
Add .grepai/ to your .gitignore:
# GrepAI (machine-specific index)
.grepai/
Why: The index is machine-specific because:
While you can copy the index file, it's not recommended because:
Better approach: Each developer runs their own grepai watch.
store:
backend: postgres
postgres:
dsn: postgres://user:pass@localhost:5432/grepai
rm .grepai/index.gob
grepai watch
store:
backend: qdrant
qdrant:
endpoint: localhost
port: 6334
rm .grepai/index.gob
grepai watch
❌ Problem: Index file too large ✅ Solution: Add more ignore patterns or migrate to PostgreSQL/Qdrant
❌ Problem: Slow searches on large codebase ✅ Solution: Migrate to Qdrant for better performance
❌ Problem: Corrupted index ✅ Solution: Delete and re-index:
rm .grepai/index.gob .grepai/symbols.gob
grepai watch
❌ Problem: "Index not found" error
✅ Solution: Run grepai watch to create the index
GOB storage status:
✅ GOB Storage Configured
Backend: GOB (local file)
Index: .grepai/index.gob
Size: 12.5 MB
Contents:
- Files: 245
- Chunks: 1,234
- Vectors: 1,234 × 768 dimensions
Performance:
- Search latency: <100ms
- Memory usage: ~25 MB
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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I recommend grepai-storage-gob for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Registry listing for grepai-storage-gob matched our evaluation — installs cleanly and behaves as described in the markdown.
grepai-storage-gob fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
grepai-storage-gob reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in grepai-storage-gob — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
grepai-storage-gob is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
I recommend grepai-storage-gob for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: grepai-storage-gob is focused, and the summary matches what you get after install.
grepai-storage-gob has been reliable in day-to-day use. Documentation quality is above average for community skills.
grepai-storage-gob reduced setup friction for our internal harness; good balance of opinion and flexibility.
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