Integrate Codanna codebase indexing
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- Dominant language
- Go
- Stars
- 49.2k
- Forks
- 4.5k
- Avg merge
- 1d 3m
- Merged PRs (30d)
- 239
Description
Is your feature request related to a problem? Please describe.
It's always frustrating that assistants and agents know nothing of my codebase.
Describe the solution you'd like
https://github.com/bartolli/codanna
has been created exactly to solve that problem, now developers can talk to their codebase and agents can find all function calls in popular languages like Python, JavaScript, Java and Rust.
Is it possible to integrate it into the existing LocalAI workflows?
It has to be installed, the model has to be downloaded once and each codebase has to be initialized and indexed once.
Describe alternatives you've considered
Each developer could do these steps manually, but maybe LocalAI could go a long way automating most of it to make it a point-and-click experience.
Additional context
It's also compatible to Claude Code, maybe a perfect addition after the new Anthropic Messages API support.
Project description
X-ray vision for your agent.
Give your code assistant the ability to see through your codebase—understanding functions, tracing relationships, and finding implementations with surgical precision. Context-first coding. No grep-and-hope loops. No endless back-and-forth. Just smarter engineering in fewer keystrokes.
Built for rapid R&D and pair programming—instant answers when LSP is too slow.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading Codanna's installation, model-download, and codebase-initialization/indexing documentation, then inspect LocalAI's existing workflows and Anthropic Messages API support. Done means a point-and-click workflow that installs Codanna, downloads its model once, and initializes and indexes each codebase.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- go
- Domain
- ai, devtools, search
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100