I built a knowledge system that gives AI perfect codebase memory(github.com)
github.com
I built a knowledge system that gives AI perfect codebase memory
https://github.com/Muvon/octocode
2 comments
# Your AI coding assistant finally has a full "memory" of your codebase
Most of us have experienced that frustrating moment when working with Claude or another AI coding assistant:
"Can you help me fix this authentication bug?"
"Sure! Can you show me your authentication code first?"
"I just showed it to you two messages ago..."
This limitation has been driving me crazy. Our AI coding tools are brilliant but handicapped by their inability to see the big picture. They're like trying to fix a complex engine while only looking through a keyhole.
So I built *Octocode* to solve this fundamental problem.
## What makes Octocode different
Rather than just throwing more tokens at the problem, Octocode creates a genuine understanding of your entire codebase:
1. *Natural language code search*: Ask "where do we validate email addresses?" instead of trying regex patterns
2. *Complete codebase awareness*: It remembers every function, relationship, and dependency across your entire project
3. *Intelligent context management*: Instead of expensive token stuffing, it creates smart summaries that actually work better
4. *Tool integration*: Works with Claude Desktop, VS Code, and other AI assistants you already use
## Real results from daily use
I've been using this daily for several months, and the quality difference is profound:
- Before: Constantly re-explaining my own code structure - After: AI immediately understands full context and relationships
- Before: Getting suggestions that would break other parts of the codebase - After: AI understands dependencies and potential side effects
- Before: Writing commit messages manually - After: `octocode commit` generates perfect ones automatically
## Getting started takes less than a minute
```bash # Install (Mac, Windows, Linux) curl -fsSL https://raw.githubusercontent.com/Muvon/octocode/master/inst... | sh
# Get free API keys (both have generous free tiers) # Voyage AI: https://voyageai.com # OpenRouter: https://openrouter.ai
# Index your project octocode index
# Start asking questions naturally octocode search "how do we handle password resets?"
# Try the AI-powered tools octocode commit # Smart commit messages octocode review # Automated code review ```
GitHub: https://github.com/Muvon/octocode
## Technical details
- Written in Rust for performance - Uses vector embeddings to understand code semantics - Works with 50+ AI models through OpenRouter - Minimal resource usage (only processes what changed) - Privacy-focused: your code stays local
I built this out of necessity - AI coding tools are amazing, but they've been operating with severe blindness. The difference now is like working with a senior developer who knows your codebase inside-out versus explaining your project to a new hire every day.
Questions or feedback? I'd appreciate hearing about your experience with AI coding tools and what problems you're looking to solve.
Most of us have experienced that frustrating moment when working with Claude or another AI coding assistant:
"Can you help me fix this authentication bug?"
"Sure! Can you show me your authentication code first?"
"I just showed it to you two messages ago..."
This limitation has been driving me crazy. Our AI coding tools are brilliant but handicapped by their inability to see the big picture. They're like trying to fix a complex engine while only looking through a keyhole.
So I built *Octocode* to solve this fundamental problem.
## What makes Octocode different
Rather than just throwing more tokens at the problem, Octocode creates a genuine understanding of your entire codebase:
1. *Natural language code search*: Ask "where do we validate email addresses?" instead of trying regex patterns
2. *Complete codebase awareness*: It remembers every function, relationship, and dependency across your entire project
3. *Intelligent context management*: Instead of expensive token stuffing, it creates smart summaries that actually work better
4. *Tool integration*: Works with Claude Desktop, VS Code, and other AI assistants you already use
## Real results from daily use
I've been using this daily for several months, and the quality difference is profound:
- Before: Constantly re-explaining my own code structure - After: AI immediately understands full context and relationships
- Before: Getting suggestions that would break other parts of the codebase - After: AI understands dependencies and potential side effects
- Before: Writing commit messages manually - After: `octocode commit` generates perfect ones automatically
## Getting started takes less than a minute
```bash # Install (Mac, Windows, Linux) curl -fsSL https://raw.githubusercontent.com/Muvon/octocode/master/inst... | sh
# Get free API keys (both have generous free tiers) # Voyage AI: https://voyageai.com # OpenRouter: https://openrouter.ai
# Index your project octocode index
# Start asking questions naturally octocode search "how do we handle password resets?"
# Try the AI-powered tools octocode commit # Smart commit messages octocode review # Automated code review ```
GitHub: https://github.com/Muvon/octocode
## Technical details
- Written in Rust for performance - Uses vector embeddings to understand code semantics - Works with 50+ AI models through OpenRouter - Minimal resource usage (only processes what changed) - Privacy-focused: your code stays local
I built this out of necessity - AI coding tools are amazing, but they've been operating with severe blindness. The difference now is like working with a senior developer who knows your codebase inside-out versus explaining your project to a new hire every day.
Questions or feedback? I'd appreciate hearing about your experience with AI coding tools and what problems you're looking to solve.
If you know of other semantic code search tools, let me know, because when I was looking for one, I totally did not see any.
And yeah, all open source!