What goes wrong
Modern coding assistants can call tools, but retrieval is still DIY: a one-off script, a cloud knowledge-base connector, or hope that searching the repo is enough. Each editor ends up with different wiring, and “the agent didn't find it” is hard to debug without a search screen against the same index the agent uses.
Why it matters
Agent workflows fail quietly when context is missing. You want one setup, ranked passages with source paths, and the same search quality everywhere — not a second knowledge stack per editor.
What good looks like
Index the docs once on your machine. Point the assistant at that local search. When it misses, you can reproduce the miss in a search UI on the same corpus — not guess what the plugin did.
How Aura Terran helps
Aura Terran lets assistants search your local docs with the same pipeline as the built-in Search page — including tools that speak MCP, such as Cursor and Claude Desktop.
- Paste one command into the assistant to connect
- Search returns ranked passages with scores and source paths the agent can use
- Auth is on by default so the local search is not an open door
Try Aura Terran
Give AI your project docs without uploading them to the cloud. Index a folder on Windows and search in minutes.
Windows installer — the .exe will not run on Mac, Linux, phones, or tablets. Open the download on a Windows PC.
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