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pkhodiyar

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投稿

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1 ポイント·投稿者 pkhodiyar·先月·0 コメント

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1 ポイント·投稿者 pkhodiyar·先月·0 コメント

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1 ポイント·投稿者 pkhodiyar·2 か月前·0 コメント

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1 ポイント·投稿者 pkhodiyar·2 か月前·0 コメント

Agent Credential Brokers in 2026

authsome.ai
4 ポイント·投稿者 pkhodiyar·2 か月前·0 コメント

Running AI agents without losing my keys

zriyansh.medium.com
4 ポイント·投稿者 pkhodiyar·2 か月前·0 コメント

Authsome – open-source local auth proxy for AI agents

github.com
7 ポイント·投稿者 pkhodiyar·3 か月前·3 コメント

Show HN: API for 13M+ Indian court cases with citation graphs and vector search

vaquill.ai
2 ポイント·投稿者 pkhodiyar·3 か月前·0 コメント

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1 ポイント·投稿者 pkhodiyar·4 か月前·0 コメント

Show HN: LegalTech – A curated list of tools and software

github.com
3 ポイント·投稿者 pkhodiyar·4 か月前·0 コメント

Show HN: Reddit and HN for Cybersecurity [Free]

socdefenders.ai
1 ポイント·投稿者 pkhodiyar·7 か月前·0 コメント

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1 ポイント·投稿者 pkhodiyar·10 か月前·0 コメント

コメント

pkhodiyar
·先月·議論
is this based on ARM? or x64
pkhodiyar
·先月·議論
Not hired, looking for funding for vaquill.ai and quilldraft.com , a solo developer got a handful of paying users at 99$, so its PMF, stable product.
pkhodiyar
·先月·議論
there is a project that makes macOS alt+tab look like windows grids (if anyone coming from there), its all something alt_tabs or something
pkhodiyar
·2 か月前·議論
[flagged]
pkhodiyar
·3 か月前·議論
Every agent I've built starts the same way. Paste an API key into .env, export it, hope it doesn't end up in a log or a subprocess env dump. token expires and something quietly breaks. We've all been there

so I wrote authsome. The bit I think is actually interesting is the run command:

  authsome run -- python my_agent.py
It launches the child behind a local auth proxy and the proxy intercepts outbound HTTPS and injects Auth headers at request time. the child process never has the secret in its environment, so it can't leak through os.environ, ps -e, or anything that dumps a subprocess env and the agent code doesn't change as well.

the tokens are stored locally, encrypted, and refreshed before they expire. Oauth flows for interactive and headless, plus a browser bridge for API-key providers. There is a cli for pulling headers directly when you don't want the proxy.

the proxy only sees traffic that goes through it, so libraries that pin their own CA bundle slip past, also the streaming uploads and long-lived connections probably have edge cases I haven't hit. It's still alpha, v0.2.1.

Most interested in feedback on the proxy approach itself, that's the part I'm least sure about.

https://github.com/manojbajaj95/authsome
pkhodiyar
·3 か月前·議論
[dead]
pkhodiyar
·4 か月前·議論
So I sat down one day thinking this sucks, there isn't any platform that solves this problem for lawyers who are not Supreme Court or High Court Related as most companies build for them (more like the middle kid who gets ignored.

So built this, let me know what you guys think.

This covers: - ITAT (Income Tax Appellate Tribunal) - CESTAT (Customs, Excise & Service Tax Appellate Tribunal) - GST AAR (GST Authority for Advance Rulings)

- NCLT (National Company Law Tribunal) - IBBI (Insolvency & Bankruptcy Board of India) - DRT (Debt Recovery Tribunal) - SAT (Securities Appellate Tribunal) - CCI (Competition Commission of India)

- NGT (National Green Tribunal) - APTEL (Appellate Tribunal for Electricity)

- TDSAT (Telecom Disputes Settlement & Appellate Tribunal) - CAT (Central Administrative Tribunal) - AFT (Armed Forces Tribunal) - RERA (Real Estate Regulatory Authority)

Would love to pick your brains
pkhodiyar
·7 か月前·議論
working on https://socdefenders.ai, reddit + HN for cybersecurity
pkhodiyar
·10 か月前·議論
quick tldr; We are doing a live 60 minutes AMA with folks from Microsoft, Pinecone, Santiago and Alden (CEO CustomGPT.ai) on MCP, sounds interesting? Register.

The goal is to educate about MCP, answer questions, and cover use cases: RAG + MCP, IDEs + MCP, etc. We’ll have live demos, Pinecone folks talking about what they are up to, and much more fun!

If you have been early in the MCP race, this would surely be worth your time.

Why might this interest you?

Model Context Protocol (MCP) is a low-level JSON-RPC protocol for passing structured context and tools to an LLM. Instead of gluing prompts together, you expose one JSON endpoint for a tool (and it takes care of tons of API endpoints for that tool).

MCP is just REST for LLMs! It really is that simple!

We plan to show a live demo of a working MCP, preferably hosted one, setting up configs, with Claude.

We will also answer any questions!

Featured Speakers:

1. Michael Kistler - Principal Program Manager at Microsoft

2. Arjun Patel - Senior Developer Advocate at Pinecone

3. Santiago (https://www.linkedin.com/in/svpino/) - Computer scientist and teaches hard-core Machine Learning; will walk you through Why do we need MCP?, Before MCP vs. After MCP, Architecture, Primitives, and Advantages.

4. Alden Do Rosario - will dissect the RAG + MCP pipeline we run in prod, live demo.

Format: - 3×10 min tech talks (protocol, integration, case study) - 10 min panel on lessons learned - 20 min open Q&A - bring tough questions

When: - Date: Sept 25, 02 PM ET

Registration (free, no spam): LINK http://customgpt.ai/mcp-ama-hn

Code sample, and infra diagrams will be posted after the session. AMA during and after the call - hope to see HN folks there.