grepai-storage-gob▌
yoanbernabeu/grepai-skills · updated Apr 8, 2026
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This skill covers using GOB (Go Binary) as the storage backend for GrepAI, the default and simplest option.
GrepAI Storage with GOB
This skill covers using GOB (Go Binary) as the storage backend for GrepAI, the default and simplest option.
When to Use This Skill
- Single developer projects
- Small to medium codebases
- Simple setup without external dependencies
- Local development environments
What is GOB Storage?
GOB is Go's native binary serialization format. GrepAI uses it to store:
- Vector embeddings
- File metadata
- Chunk information
Everything is stored in a single local file.
Advantages
| 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 |
Limitations
| 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 |
Configuration
Default Configuration
GOB is the default backend. Minimal config:
# .grepai/config.yaml
store:
backend: gob
Explicit Configuration
store:
backend: gob
# Index stored in .grepai/index.gob (automatic)
Storage Location
GOB storage creates files in your project's .grepai/ directory:
.grepai/
├── config.yaml # Configuration
├── index.gob # Vector embeddings
└── symbols.gob # Symbol index for trace
File Sizes
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 |
Operations
Creating the Index
# Initialize project
grepai init
# Start indexing (creates index.gob)
grepai watch
Checking Index Status
grepai status
# Output:
# Index: .grepai/index.gob
# Files: 245
# Chunks: 1,234
# Size: 12.5 MB
# Last updated: 2025-01-28 10:30:00
Backing Up the Index
# Simple file copy
cp .grepai/index.gob .grepai/index.gob.backup
Clearing the Index
# Delete and re-index
rm .grepai/index.gob
grepai watch
Moving to a New Machine
# Copy entire .grepai directory
cp -r .grepai /path/to/new/location/
# Note: Only works if using same embedding model
Performance Considerations
Memory Usage
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 |
Search Speed
GOB provides fast searches for typical codebases:
| Codebase Size | Search Time |
|---|---|
| Small (100 files) | <50ms |
| Medium (1K files) | <200ms |
| Large (10K files) | <1s |
When to Upgrade
Consider PostgreSQL or Qdrant when:
- Index exceeds 1 GB
- Need concurrent access
- Want to share index across team
- Codebase has 50K+ files
.gitignore Configuration
Add .grepai/ to your .gitignore:
# GrepAI (machine-specific index)
.grepai/
Why: The index is machine-specific because:
- Contains binary embeddings
- Tied to the embedding model used
- Each machine should generate its own
Sharing Index (Not Recommended)
While you can copy the index file, it's not recommended because:
- Must use identical embedding model
- File paths are absolute
- Different machines may have different code versions
Better approach: Each developer runs their own grepai watch.
Migrating to Other Backends
To PostgreSQL
- Update config:
store:
backend: postgres
postgres:
dsn: postgres://user:pass@localhost:5432/grepai
- Re-index:
rm .grepai/index.gob
grepai watch
To Qdrant
- Update config:
store:
backend: qdrant
qdrant:
endpoint: localhost
port: 6334
- Re-index:
rm .grepai/index.gob
grepai watch
Common Issues
❌ 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
Best Practices
- Use for small/medium projects: Up to ~10K files
- Add to .gitignore: Don't commit the index
- Backup before major changes: Copy index.gob before experiments
- Re-index after model changes: If you change embedding models
- Monitor file size: Migrate if index exceeds 1GB
Output Format
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
How to use grepai-storage-gob on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add grepai-storage-gob
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches grepai-storage-gob from GitHub repository yoanbernabeu/grepai-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate grepai-storage-gob. Access the skill through slash commands (e.g., /grepai-storage-gob) or your agent's skill management interface.
Security & Verification Notice
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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ 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.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★60 reviews- ★★★★★Kwame Bhatia· Dec 16, 2024
I recommend grepai-storage-gob for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Amelia Agarwal· Dec 8, 2024
Registry listing for grepai-storage-gob matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Noah Torres· Dec 8, 2024
grepai-storage-gob fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Ganesh Mohane· Dec 4, 2024
grepai-storage-gob reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Kiara Johnson· Nov 27, 2024
Useful defaults in grepai-storage-gob — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Jin Torres· Nov 27, 2024
grepai-storage-gob is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Rahul Santra· Nov 23, 2024
I recommend grepai-storage-gob for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Omar Martinez· Nov 19, 2024
Solid pick for teams standardizing on skills: grepai-storage-gob is focused, and the summary matches what you get after install.
- ★★★★★Valentina Mehta· Nov 7, 2024
grepai-storage-gob has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Kabir Torres· Nov 7, 2024
grepai-storage-gob reduced setup friction for our internal harness; good balance of opinion and flexibility.
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