zh2408

8 ms·

31.
Agentic Coding: Let Agents Build Agents for You(zacharyhuang.substack.com)
2 points by zh2408 2y ago|0 comments
32.
Build AI Agent Memory from Scratch – Tutorial for Dummies(zacharyhuang.substack.com)
3 points by zh2408 2y ago|0 comments
33.
by zh2408 2y ago
"Workflow can be very dynamic" is a great summary!
34.
by zh2408 2y ago
No. It's not many agents in the workflow. It's not an agent per node. The whole workflow and the Runner class is for one agent. Check out this line: https://github.com/openai/openai-agents-python/blob&#x2
35.
by zh2408 2y ago
I do agree what you said except the first sentence. The design of the Graph is super important. Pocketflow is for those with technical background.
36.
by zh2408 2y ago
Yes!!
37.
by zh2408 2y ago
Let me clarify: we are discussing how the Agent is internally implemented, given LLM calls and tools. It can be built using a graph, where one node makes decisions that branch out to tools and can loop back. The workflow can vary. For examp
38.
by zh2408 2y ago
By low-level, it is with respect to the agent interface. The original purpose is to help people understand how the inner agent framework is internally implemented, like those: OpenAI Agents: https://github.com/openai/op
39.
by zh2408 2y ago
Oh, that’s embarrassing ... pardon my poor English, and thanks so much for pointing that out!
40.
by zh2408 2y ago
Thank you!
41.
by zh2408 2y ago
Thank you!
42.
by zh2408 2y ago
Thank you! I'm not against such hype TBH :)
43.
by zh2408 2y ago
It's hard for me to comment on something not open sourced
44.
by zh2408 2y ago
I think you’re referring to function calling: https://platform.openai.com/docs/guides/function-calling This still returns a string. You need to explicitly program the branch to the right function. For example, che
45.
by zh2408 2y ago
It’s kind of like the different levels of abstraction. For example, for software projects, the algorithmic level is where most people focus because that’s typically where the biggest optimizations happen. But in some critical scenarios, you
46.
by zh2408 2y ago
The current implementations of Agents, e.g., OpenAI agents released last week, are based on graph (workflow): https://github.com/openai/openai-agents-python/blob/48ff99bb... Not sure about Cursor you mentione
47.
by zh2408 2y ago
Hey, sorry for the confusion. This tutorial is focusing on the low-level internals of how agents are implemented—much like how intelligent large language models still boil down to matrix multiplications at their core.
48.
by zh2408 2y ago
Let me clarify: this tutorial focuses on the technical internal implementation of the agent (e.g., OpenAI agent, Pydantic AI, etc.), rather than the UI/UX of the agent-based products that end users interact with.
49.
by zh2408 2y ago
Thank you!!
50.
LLM Agents Are Simply Graph – Tutorial for Dummies(zacharyhuang.substack.com)
263 points by zh2408 2y ago|80 comments
51.
by zh2408 2y ago
Hey folks! I just posted a quick tutorial explaining how LLM agents (like OpenAI Agents, Pydantic AI, Manus AI, AutoGPT or PerplexityAI) are basically small graphs with loops and branches. For example: OpenAI Agents: for the workflow logic:
52.
Show HN: I built an Open-Source Cursor Agent, with Cursor(github.com)
2 points by zh2408 2y ago|1 comments
53.
by zh2408 2y ago
I just released a simple, open-source version of Cursor Coding Agents. You give it a user request and a code base, and it’ll explore directories, search files, read them, edit them, or even delete them—all on its own! I built this using the
54.
Show HN: Ask AI Paul Graham(pocket-pg-851564657364.us-east1.run.app)
1 points by zh2408 2y ago|0 comments
55.
by zh2408 2y ago
HAHAHA thank you!
56.
Show HN: Ask AI Paul Graham (Open Sourced)(github.com)
6 points by zh2408 2y ago|3 comments
57.
Show HN: I built an agent to write personalized cold email opener(github.com)
3 points by zh2408 2y ago|1 comments
58.
by zh2408 2y ago
For cold email, the first few sentences are make-or-break - they determine whether someone keeps reading or hits delete. I built a small LLM app that: 1. Takes a person’s name + a few keywords 2. Does a Google search to find relevant info a
59.
Show HN: I built an LLM Agent Framework in 100 lines of code(github.com)
2 points by zh2408 2y ago|0 comments
60.
Show HN: AI YC Partner Agent(github.com)
3 points by zh2408 2y ago|1 comments

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