Show HN: Trieve CLI – Terminal-Based LLM Agent Loop with Search Tool for PDFs

Hi HN,

I built a CLI for uploading documents and querying them with an LLM agent that uses search tools rather than stuffing everything into the context window. I recorded a demo using the CrossFit 2025 rulebook that shows how this approach compares to traditional RAG and direct context injection[1].

The core insight is that LLMs running in loops with tool access are unreasonably effective at this kind of knowledge retrieval task[2]. Instead of hoping the right chunks make it into your context, the agent can iteratively search, refine queries, and reason about what it finds.

The CLI handles the full workflow:

```bash trieve upload ./document.pdf trieve ask "What are the key findings?"

```

You can customize the RAG behavior, check upload status, and the responses stream back with expandable source references. I really enjoy having this workflow available in the terminal and I'm curious if others find this paradigm as compelling as I do.

Considering adding more commands and customization options if there's interest. The tool is free for up to 1k document chunks.

Source code is on GitHub[3] and available via npm[4].

Would love any feedback on the approach or CLI design!

[1]: " rel="nofollow">

Comments URL: https://news.ycombinator.com/item?id=44290207

Points: 16

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https://github.com/devflowinc/trieve/tree/main/clients/cli