dejavu

Find code you forgot, by describing what it did.

Dejavu is a semantic code search tool that lets you find code across your projects using natural language descriptions. Instead of remembering filenames, function names, or exact keywords, just describe what the code did:

dejavu "that drag and drop kanban board"
dejavu "CSV parser that grouped by date" --lang python
dejavu "animated sidebar component" --when "last summer"

1. Index your code directories -- Dejavu uses tree-sitter AST parsing to extract functions, classes, and methods from 20+ languages
2. Embed each code chunk using local vector embeddings via Ollama (no data leaves your machine)
3. Search with natural language -- your query is embedded and matched against your code using vector similarity

Everything runs locally. Your code never leaves your machine.

pip install dejavu-code

• Python 3.10+
• Ollama running locally

Pull the embedding model:

ollama pull nomic-embed-code

For large codebases, install the sqlite-vec extension for hardware-accelerated KNN search:

pip install "dejavu-code[vec]"

Without it, Dejavu falls back to numpy-based cosine similarity (works fine for most codebases).

# 1. Initialize config
dejavu init

# 2. Edit ~/.dejavu/config.toml to set your code directories
#    (defaults: ~/code, ~/projects, ~/dev, ~/src, ~/repos, ~/work)

# 3. Index your code
dejavu index

# 4. Search!
dejavu "that function that parsed CSV files and grouped them by date"

dejavu index ~/projects/my-app

dejavu "auth middleware" --lang python
dejavu "React component with tabs" --when "last summer"
dejavu "deployment script" --path work

dejavu "au