Nicholas Driyadis Tjoe

What an agent can do with the Kronos corpus

ponskigila-hub/Kronos: Kronos is the first open-source foundation model built specifically for financial candlesticks (K-lines), trained on data from over 45…

• Look up how Kronos implements ai, chatbot, data-analysis, with answers cited to file and line.
• Reuse a worked example: the commit “improve forecasting results and file cleaning” (12 files · Python).
• Answer from Kronos's real Python source instead of memory (AI, prompts and agents).

• Where does Kronos handle “improve forecasting results and file cleaning”?
• How does Kronos implement ai?
• What does webapp do in Kronos?

Search the GitHub repository ponskigila-hub/Kronos with XERJ (https://hub.xerj.org/corpus/ponskigila-hub--kronos).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/ponskigila-hub/Kronos Kronos && git -C Kronos checkout e3262f0c612516452b254ac040f547b0c6bf865e
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./Kronos --url http://127.0.0.1:9200 --prefix kronos --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: MIT. Keep the copyright notice and credit the authors.

corpus ponskigila-hub--kronos · AI, prompts and agents
Related corpora: adalflow, cognita, rio-labs/rio, Amz34/ai-data-analyst
AI search and retrieval with XERJ · Case study: reference coding for agents