Who it is forA knowledge worker or student who has many captured notes and needs to recall a fact with proof of where it came from.
The problemSearching old notes by hand is slow, and an answer without a source is hard to trust.
The outcomeA grounded answer with inline citations such as [person/aaryan], or an honest statement that nothing relevant was found.
What you need first
- Python 3.10 or newer
- Access to an LLM provider and its API key, set in an .env file or as GRAYBOX_LLM_API_KEY
- A config.yaml based on config.example.yaml with your LLM and workspace details
Steps
- Capture notes with
graybox capture "<note text>"as they come up. (inferred, check the README) - Run
graybox organizeto turn the captures into wiki pages. - Ask a question with
graybox ask "<your question>". (inferred, check the README) - Continue the conversation with
graybox chatif you have follow-up questions.
Prompt for your agent
Use the Aaryanverma/graybox repo to answer <question> with `graybox ask`. Expected output: an answer with inline citations to wiki pages or inbox notes. Verify that every cited source exists under `graybox pages` and that the answer does not claim facts beyond those sources.
Caveat. Answers are grounded only in captured notes, and when the wiki has no strong match the tool may fall back to unorganized inbox captures with a warning.
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