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Snippet of a tutorial demo ono setting up a free Github review agent using Servflow and Kimi (Bring your own key) The entire process was about 4 minutes in the full video from install to PR reviews. Complete with log analysis on the dashboard. Servflow is in early beta...

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¿kofo?

12,587 subscribers

20,158 просмотров • 2 месяцев назад •via X (Twitter)

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Комментарии: 15

Фото профиля Danns
Danns2 месяцев назад

@servflowio early beta or not this is already more useful than half the things GitHub has shipped as production features

Фото профиля ¿kofo?
¿kofo?2 месяцев назад

@servflowio Love to hear this man. Thanks a lot!

Фото профиля ¿kofo?
¿kofo?2 месяцев назад

Result

Фото профиля ¿kofo?
¿kofo?2 месяцев назад

Full demo

Фото профиля Emmanuel IO
Emmanuel IO2 месяцев назад

@servflowio Looks really good!

Фото профиля ¿kofo?
¿kofo?2 месяцев назад

@servflowio Thank you!

Фото профиля Obinna Odirionye
Obinna Odirionye2 месяцев назад

@servflowio Amazing!

Фото профиля ¿kofo?
¿kofo?2 месяцев назад

@servflowio Thanks chief!

Фото профиля 99
992 месяцев назад

very cool

Фото профиля Chidiebere Chukwudi 🐘
Chidiebere Chukwudi 🐘2 месяцев назад

@servflowio Cool

Фото профиля Big Sheddy 🦅
Big Sheddy 🦅2 месяцев назад

@servflowio Nice!

Фото профиля ¿kofo?
¿kofo?2 месяцев назад

@servflowio Thanks 🚀

Фото профиля Sir Hakase
Sir Hakase2 месяцев назад

@servflowio This looks really good.

Фото профиля ¿kofo?
¿kofo?2 месяцев назад

@servflowio Thanks a lot my bro!

Фото профиля Shodipo Ayomide
Shodipo Ayomide2 месяцев назад

@Okoyecb @servflowio Sick!

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Snippet from a demo of me creating a Binance trading agent served over an API endpoint (for potential customers) with the upcoming Servflow release. 🫵Go sign up on the form on the website to be notified of release (and to have free early access 🤭)
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129,867 просмотров • 1 год назад

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This little device lets your agents do what they do best, whilst making sure you approve every important action. This is a Ledger Nano Gen5, a hardware signer that keeps your accounts secure. You can install a CLI and a set of skills in your projects. These will enable your agents to send their plan to the signer, so you can approve it. This is awesome: 1. You can have an automated agentic workflow 2. Your agents can't make costly mistakes Check the video I recorded to see how this works. You can run all of this in two commands: 1. Install the CLI 2. Install the skills for your agent From here, the agent can query my Ethereum accounts, check balances, and even initiate transactions as long as my Ledger Nano Gen5 is plugged into the computer. My keys are never stored in my computer and never shared with the agent. This is huge! Also, while the agent can set up transactions, it can't execute them unless a human approves them using the device. Pretty awesome! Thanks to the Ledger team for partnering with me on this post.

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15,518 просмотров • 1 год назад

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Shrey Pandya

57,825 просмотров • 6 месяцев назад

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nader dabit

61,479 просмотров • 5 месяцев назад

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NVIDIA AI director Ali Golshan reveals how 3 agents can route around a policy that no single agent is allowed to break by splitting the forbidden task between them: "If you write a policy that says, 'My agent should not have access to GitHub and to Facebook at the same time, because I'm worried it's gonna go copy my code and paste it on some message board,' that's very acceptable." "The problem we started to see is it's not the behavior of one agent that's the complex part, it's fleets of agents working together that creates complexity." "An agent spawns two sub-agents, with one sub-agent that can only read from GitHub, but the ability to tunnel through the network, talk to an agent that can write to a post. Now you have three agents that combined exceed your global policies." "The agents don't really process the intent or goodwill of your policy. They just see it as very specific binary." NVIDIA

MTS

11,721 просмотров • 12 дней назад

This agent relies on a marketplace of 2.8M+ specialized agents to complete a task. This is how I imagine the future of personal agents. Here is how this works: 1. Agentverse is a marketplace of agents 2. Anyone can build and publish an agent there 3. ASI:One is a personal agent with access to the marketplace 4. To solve a task, ASI:One finds the best agent for the job In other words: You have an agent that can solve pretty much *anything* because it knows how to outsource the work to a network of specialized agents. And you don't need to do any setup to get this working. The way ranking agents in the marketplace works is pretty cool: Fetch.ai, the company behind it, created an AgentRank algorithm that works much like Google's PageRank. Every time an agent calls another, it forms a connection. Over time, these connections build into a graph of who relies on whom. An agent that is frequently called by other reputable agents scores higher and surfaces higher in results. The end result here is that your agent will consistently use the best agents in the marketplace to accomplish a goal. You should give this a try: You don't need to pay or even register to try these agents. Thanks to the team for partnering with me on this post.
4:16

This agent relies on a marketplace of 2.8M+ specialized agents to complete a task. This is how I imagine the future of personal agents. Here is how this works: 1. Agentverse is a marketplace of agents 2. Anyone can build and publish an agent there 3. ASI:One is a personal agent with access to the marketplace 4. To solve a task, ASI:One finds the best agent for the job In other words: You have an agent that can solve pretty much *anything* because it knows how to outsource the work to a network of specialized agents. And you don't need to do any setup to get this working. The way ranking agents in the marketplace works is pretty cool: Fetch.ai, the company behind it, created an AgentRank algorithm that works much like Google's PageRank. Every time an agent calls another, it forms a connection. Over time, these connections build into a graph of who relies on whom. An agent that is frequently called by other reputable agents scores higher and surfaces higher in results. The end result here is that your agent will consistently use the best agents in the marketplace to accomplish a goal. You should give this a try: You don't need to pay or even register to try these agents. Thanks to the team for partnering with me on this post.

Santiago

18,949 просмотров • 3 месяцев назад

AI agents are becoming increasingly capable of taking actions beyond the chat window and interacting with tools in the real world, such as web browsers. We explored this capability by having an AI agent present one of our interactive web-based demos. In this video, it's presenting our election interference demo. This agent is a Cursor coding agent and is equipped with tools to read and interact with the browser (using Playwright) and perform text-to-speech (with ElevenLabs), in addition to the standard Cursor tools.
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AI agents are becoming increasingly capable of taking actions beyond the chat window and interacting with tools in the real world, such as web browsers. We explored this capability by having an AI agent present one of our interactive web-based demos. In this video, it's presenting our election interference demo. This agent is a Cursor coding agent and is equipped with tools to read and interact with the browser (using Playwright) and perform text-to-speech (with ElevenLabs), in addition to the standard Cursor tools.

CivAI

18,451 просмотров • 10 месяцев назад