Orbit 0.2.2

🔍 Semantic Codebase Search

Agents can now search your codebase by meaning, not just by keywords. Turn it on in Settings → Tools → Semantic Codebase Search, point it at a local embedding model (Ollama with nomic-embed-text, for instance), and Orbit builds a private per-workspace index of your source code. Once indexed, the agent's CodebaseSearch tool finds relevant files, functions, and patterns from a natural-language description — no need to know the exact identifier or grep for the right string.

• Works locally and privately. Use Ollama on the same machine and all indexing stays on your hardware. OpenAI-compatible endpoints (OpenAI, vLLM, etc.) are also supported if you prefer a remote model; data is sent to whichever provider you configure.
• Agents use it automatically. When the agent needs to find a concept, architecture pattern, or implementation detail (CodebaseSearch), it falls back to Grep or Glob for exact searches and Read for digging into results.
• Fast incremental updates. After the initial index, Orbit watches your files and re-indexes only the changed ones in the background — saves, creates, deletes, and renames all update the index within about a second.
• Control what gets indexed. Orbit respects your existing search exclusions and .gitignore patterns. Add a .orbitignore file at the workspace root for indexing-specific exclusions:

  private/
  fixtures/generated/**
  *.generated.ts

• Resilient to interruptions. If the embedding provider goes down mid-index, the last valid index is preserved and agents fall back to Grep, Glob, and Read with a graceful message — no hard-failing tools.
• Index state visible in Settings. An in-settings status panel shows the indexing phase (scanning / embedding / saving), file progress, the current file being processed, and a summary of indexed files and chunks once ready.

Note: Semantic indexing is disabled by default and requires a trusted workspace. Enable it in Settings → Tools → Semantic Codebase Search, then configure an embedding endpoint and model.

Bug fixes

• Fixed a bug where toggling semantic search off and back on would re-embed the entire codebase instead of reusing the cached index from disk.
• Fixed a bug where changing the embedding model/provider while search was enabled could produce an index with vectors from two different models, making rankings meaningless.
• Fixed an indexing progress counter inaccuracy for files larger than the 512 KiB size limit.

macOS install

• Recommended (no Gatekeeper warning):

  curl -fsSL https://raw.githubusercontent.com/ashish200729/orbiteditor/main/install.sh | bash

• Or download the .dmg from the release, drag Orbit to Applications, then run once:

  xattr -cr /Applications/Orbit.app

(Orbit isn't notarized by Apple yet, so a browser-downloaded .dmg shows a one-time "unverified developer" prompt; the command above clears it.)