After bouncing between ChatGPT, Claude, and countless VS Code extensions for months, I got frustrated with the constant context switching and re-explaining my codebase to AI. So we built *Octomind* - an open-source AI assistant that actually understands your project and remembers what you've worked on.
## What's different?
*No more copy-pasting code snippets.* Octomind has semantic search built-in, so when you ask "how does auth work here?" it finds the relevant files automatically. When you say "add error handling to the login function," it knows exactly where that is.
*Built-in memory system.* It remembers your architectural decisions, bug fixes, and coding patterns. No more explaining the same context over and over.
*Real cost tracking.* Shows exactly what each conversation costs across OpenAI, Claude, OpenRouter, etc. I was shocked to see I was spending $40/month on random API calls before this.
*Multimodal support.* Drop in screenshots of error messages or UI mockups - works across all providers.
## The workflow that sold me:
```
> "Why is this React component re-rendering so much?"
[Finds component, analyzes dependencies, explains the issue]
> "Fix it"
[Implements useMemo, shows the diff, explains the change]
- *Does this solve a real pain point for you?* Or are you happy with your current AI workflow?
- *What's missing?* We're thinking about adding team collaboration features
- *Performance concerns?* It's built in Rust, but curious about your experience
The whole thing is Apache 2.0 licensed on GitHub. Would love to hear what you think - especially if you try it and it doesn't work as expected.
After bouncing between ChatGPT, Claude, and countless VS Code extensions for months, I got frustrated with the constant context switching and re-explaining my codebase to AI. So we built *Octomind* - an open-source AI assistant that actually understands your project and remembers what you've worked on.
## What's different?
*No more copy-pasting code snippets.* Octomind has semantic search built-in, so when you ask "how does auth work here?" it finds the relevant files automatically. When you say "add error handling to the login function," it knows exactly where that is.
*Built-in memory system.* It remembers your architectural decisions, bug fixes, and coding patterns. No more explaining the same context over and over.
*Real cost tracking.* Shows exactly what each conversation costs across OpenAI, Claude, OpenRouter, etc. I was shocked to see I was spending $40/month on random API calls before this.
*Multimodal support.* Drop in screenshots of error messages or UI mockups - works across all providers.
## The workflow that sold me:
``` > "Why is this React component re-rendering so much?" [Finds component, analyzes dependencies, explains the issue]
> "Fix it" [Implements useMemo, shows the diff, explains the change]
> /report [Shows: $0.03 spent, 2 API calls, 15 seconds total] ```
One conversation, problem solved, cost tracked.
## Looking for feedback on:
- *Does this solve a real pain point for you?* Or are you happy with your current AI workflow? - *What's missing?* We're thinking about adding team collaboration features - *Performance concerns?* It's built in Rust, but curious about your experience
The whole thing is Apache 2.0 licensed on GitHub. Would love to hear what you think - especially if you try it and it doesn't work as expected.
*Try it:* `curl -fsSL https://raw.githubusercontent.com/muvon/octomind/main/instal... | bash`
*Repo:* https://github.com/muvon/octomind
Really curious to hear your thoughts. What would make this actually useful for your daily coding?