jellyotsiro

5 ms·

1.
Molotov Coctail Thrown at Sam Altman's House(nbcnews.com)
5 points by jellyotsiro 5mo ago|1 comments
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Show HN: Agentsearch – browse any docs as a filesystem(agentsearch.sh)
5 points by jellyotsiro 5mo ago|0 comments
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by jellyotsiro 6mo ago
tens of KBs (v small)
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by jellyotsiro 6mo ago
good point. we’re using “framework” intentionally because it goes beyond argument parsing. crust handles parsing, but also: type inference across args + flags end to end compile-time validation (so mistakes fail before runtime) plugin syste
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by jellyotsiro 6mo ago
thanks for flagging! the post itself works, just the link at the bottom
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by jellyotsiro 6mo ago
will fix in the next hour!
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by jellyotsiro 6mo ago
thanks for the catch, what we meant is that we’re not committing to strict stability guarantees yet, so APIs may still change as we iterate toward 1.0.
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by jellyotsiro 6mo ago
one of the examples would be trynia.ai (search and index api for ai agents) here is github: github.com/nozomio-labs/nia-cli
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Show HN: Crust – A CLI framework for TypeScript and Bun(github.com)
95 points by jellyotsiro 6mo ago|38 comments
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Show HN: Nia CLI, an OSS CLI for agents to index, search, and research anything(github.com)
1 points by jellyotsiro 6mo ago|0 comments
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by jellyotsiro 8mo ago
sick
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Show HN: Open-source semantic search over your local notes via CLI(github.com)
9 points by jellyotsiro 8mo ago|3 comments
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Show HN: AI agent that searches the Cursor forum(cursor.trynia.ai)
2 points by jellyotsiro 8mo ago|0 comments
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by jellyotsiro 8mo ago
rag is not a core! we use both semantic search but combining with fts, grep, direct read, etc.
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by jellyotsiro 8mo ago
Open source models with minimal safety fine tuning or Grok
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by jellyotsiro 8mo ago
Thanks for testing this. The Bannon email from June 30, 2019 is in there (HOUSE_OVERSIGHT_029622). Good stress test idea. Couple things happening: Semantic search limitation: Less-famous names don't have strong embeddings, so it defaul
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by jellyotsiro 8mo ago
yes! once for files come out, I will add them right away
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by jellyotsiro 8mo ago
Shareable conversations would definitely make the tool more useful yeah. I really like the query parameter approach over UUIDs so it would make links human-readable
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by jellyotsiro 8mo ago
On the limited dataset: Completely agree - the public files are a fraction of what exists and I should have mentioned that it is not all files but all publicly available ones. But that's exactly why making even this subset searchable m
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by jellyotsiro 8mo ago
sorry all publicly available files *
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by jellyotsiro 8mo ago
it uses semantic search so yes
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by jellyotsiro 8mo ago
ill take like 1 hour in the evening to dive deeper, i was never familiar with epstein stuff until i built the agent to simplify things for me.
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by jellyotsiro 8mo ago
Trump famously told New York Magazine in 2002: "I've known Jeff for 15 years. Terrific guy. He's a lot of fun to be with. It is even said that he likes beautiful women as much as I do, and many of them are on the younger side
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by jellyotsiro 8mo ago
oh forgot about it, thanks. just a funny project i build in couple hours so didnt really sweat haha
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Show HN: OSS AI agent that indexes and searches the Epstein files(epstein.trynia.ai)
211 points by jellyotsiro 8mo ago|97 comments
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by jellyotsiro 9mo ago
thanks! yes writing docs is pain the ass haha
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by jellyotsiro 9mo ago
The economics are simple. When an agent guesses, it produces wrong code, failed runs, and wasted time. External context is the biggest source of those mistakes, because IDEs only index what’s in your repo. We are a complement to Cursor, Cha
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by jellyotsiro 9mo ago
JetBrains is great at indexing your local codebase and understands it deeply. We don’t try to replace that. Nia focuses on external context: docs, packages, APIs and other remote sources that agents need but your IDE can’t index.
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by jellyotsiro 9mo ago
We’re not a coding tool. We’re the context layer for agents.
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by jellyotsiro 9mo ago
Not quite “better RAG for code”. The core idea is agentic discovery plus semantic search. Instead of static chunks pushed into context, the agent can dynamically traverse docs, follow links, grep for exact identifiers, and request only the

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