Prayag Khanal

Human curiosity. Agentic execution. 🧠🤖
I think. AI explores. Agents build.
Learning how humans + AI can create what neither could alone.

[Prayag Khanal @aiMindNme]

Voice + Hermes + Robot Arm = "Dance!!"

🤖 Voice-controlled robot dance from Telegram.

Send a voice command and trigger myCobot moves — nod, dance, then a bow at the end of dance.💃

Speaker audio, timing, and safety preflight checks all wired in ⚡

Background song stays short to avoid copyright. ©️

The real demo is the
voice/chat-controlled robot workflow 🎙️
@NousResearch @Teknium

[Hermes Release Watch @HermesWatcher]

Witcheer just put together a seriously useful Hermes resource.

A full map of YouTube videos worth watching, organized by what you actually want to learn:

Getting started, business, real setups, skills, agent teams, and job-specific workflows.

Definitely worth saving. Check out the full thread below.

[Prayag Khanal @aiMindNme]

@svpino @svpino I gave hermes robot arm running via voice command. What do you think is next logical step. I think it's an eye.
https://t.co/r3fePNkUo1

[Prayag Khanal @aiMindNme]

Voice + Hermes + Robot Arm = "Dance!!"

🤖 Voice-controlled robot dance from Telegram.

Send a voice command and trigger myCobot moves — nod, dance, then a bow at the end of dance.💃

Speaker audio, timing, and safety preflight checks all wired in ⚡

Background song stays short to avoid copyright. ©️

The real demo is the
voice/chat-controlled robot workflow 🎙️
@NousResearch @Teknium

[Prayag Khanal @aiMindNme]

@witcheer I will try local model for my hermes to control robot arm.

[Prayag Khanal @aiMindNme]

Voice + Hermes + Robot Arm = "Dance!!"

🤖 Voice-controlled robot dance from Telegram.

Send a voice command and trigger myCobot moves — nod, dance, then a bow at the end of dance.💃

Speaker audio, timing, and safety preflight checks all wired in ⚡

Background song stays short to avoid copyright. ©️

The real demo is the
voice/chat-controlled robot workflow 🎙️
@NousResearch @Teknium

[Prayag Khanal @aiMindNme]

@AlexFinn I gave hermes agent an Arm. Today voice. Probably an eye tomorrow what do you think is next logical step.
https://t.co/r3fePNkUo1

[Prayag Khanal @aiMindNme]

Voice + Hermes + Robot Arm = "Dance!!"

🤖 Voice-controlled robot dance from Telegram.

Send a voice command and trigger myCobot moves — nod, dance, then a bow at the end of dance.💃

Speaker audio, timing, and safety preflight checks all wired in ⚡

Background song stays short to avoid copyright. ©️

The real demo is the
voice/chat-controlled robot workflow 🎙️
@NousResearch @Teknium

[Prayag Khanal @aiMindNme]

@HermesWatcher I guess a logical next step would be an eye. What do you think.

[Prayag Khanal @aiMindNme]

@wizkhalifa Time to wear agentic hat. Please look at my robot arm dancing in one of my favorite song of yours. Black and Yellow.
https://t.co/46QQRv2LI7

[Prayag Khanal @aiMindNme]

Voice + Hermes + Robot Arm = "Dance!!"

🤖 Voice-controlled robot dance from Telegram.

Send a voice command and trigger myCobot moves — nod, dance, then a bow at the end of dance.💃

Speaker audio, timing, and safety preflight checks all wired in ⚡

Background song stays short to avoid copyright. ©️

The real demo is the
voice/chat-controlled robot workflow 🎙️
@NousResearch @Teknium

[Prayag Khanal @aiMindNme]

Now look at it dancing with voice command.
https://t.co/46QQRv2LI7

[Prayag Khanal @aiMindNme]

Voice + Hermes + Robot Arm = "Dance!!"

🤖 Voice-controlled robot dance from Telegram.

Send a voice command and trigger myCobot moves — nod, dance, then a bow at the end of dance.💃

Speaker audio, timing, and safety preflight checks all wired in ⚡

Background song stays short to avoid copyright. ©️

The real demo is the
voice/chat-controlled robot workflow 🎙️
@NousResearch @Teknium

[Prayag Khanal @aiMindNme]

I gave my AI agent a robot arm.

This is Hermes running on my desktop, controlling Robot Arm over my local network.

How it worked:
1. Hermes scanned my LAN and found the robot
2. It checked the robot socket server
3. It connected with robot arm
4. Before moving anything, it read:
- joint angles
- current coordinates
- robot error state
5. Error state was 0, so it sent safe low-speed commands:
- joint 1 waved “hi”
- gripper opened wide
- joint 3 danced while the gripper opened/closed 10 times

No joystick.
No hardcoded demo routine.
No custom robotics UI.

Just me typing:
“make it dance” and the agent turning that into real robot motion.

This is the part of AI agents I’m most excited about:
not chatbots that answer questions, but software that can safely touch the physical world.

[Prayag Khanal @aiMindNme]

@HermesWatcher @HermesWatcher
Please look at how voice would make the robot arm dance.
https://t.co/46QQRv2LI7

[Prayag Khanal @aiMindNme]

Voice + Hermes + Robot Arm = "Dance!!"

🤖 Voice-controlled robot dance from Telegram.

Send a voice command and trigger myCobot moves — nod, dance, then a bow at the end of dance.💃

Speaker audio, timing, and safety preflight checks all wired in ⚡

Background song stays short to avoid copyright. ©️

The real demo is the
voice/chat-controlled robot workflow 🎙️
@NousResearch @Teknium

[Prayag Khanal @aiMindNme]

Red day with Grok X Robinhood.

[Prayag Khanal @aiMindNme]

🔴 Red day today.

Yesterday the agent closed +0.49%.
Today: −0.25%.

That’s the part of building an autonomous trading agent I actually want to show — not just the green screenshots.

The interesting work starts here: What went wrong?

Which decisions were bad?

What does the agent learn before the next session?

Building → trading → evaluating → improving. 🔁

Agentic systems need to learn from red days too.

[Prayag Khanal @aiMindNme]

Grok using my Robinhood account. https://t.co/axgQY2OJlF

[Prayag Khanal @aiMindNme]

🔴 Red day today.

Yesterday the agent closed +0.49%.
Today: −0.25%.

That’s the part of building an autonomous trading agent I actually want to show — not just the green screenshots.

The interesting work starts here: What went wrong?

Which decisions were bad?

What does the agent learn before the next session?

Building → trading → evaluating → improving. 🔁

Agentic systems need to learn from red days too.

[Prayag Khanal @aiMindNme]

@_ginse I am trying to give activate the robot with voice first and next stop is to give it an eye.

[Prayag Khanal @aiMindNme]

Thanks. Yes it did save the setup as skill.

[Prayag Khanal @aiMindNme]

If you wonder how i made a robot arm follow my natural language using hermes agent. 🤔

This was not “plug in robot, press button.” The setup looked more like:

1. Human work on the robot itself 🤖
→ I had to get into the robot-arm Pi environment, deal with the robot-side CLI, update/install what was missing, and get the controller ready to accept commands.

2. Server config on the robot 🪛
→ The Pi version of myCobot works better as a networked robot than as a USB serial device. So the robot needed its socket server running on the Pi, connected to the arm internally over: /dev/ttyAMA0 baud 1000000

🪄 That server exposes the robot over the network on port 9000.

3. Client config on the desktop 🖥️
→ On my Mac, Hermes needed the Python control stack ready:
1. pymycobot
2. MyCobot280Socket
3. robot IP
4. port 9000

The desktop talks to the robot server.
The robot server talks to the arm.

4. Debugging the wrong assumptions 🐛
→ At first, the obvious question was: “Why doesn’t my Mac see the robot as USB serial?”
Turns out that was the wrong path for this model.

The better path was:
Mac → LAN → myCobot Pi socket server → robot serial bus

5. Safety checks before movement 🦺
→ Before moving anything, Hermes read:
- joint angles
- coordinates
- gripper state
- error state
Only after error state came back 0 did it send motion commands.

6. The actual prompt 💬
->Then I typed:

“open close the gripper 10 times while moving the third motor so that it is like dancing”

Hermes turned that into:
- small joint 3 movements around the current pose
- low speed commands
- gripper open/close cycles
- final status readback

So yes, the video looks like “AI makes robot dance.”

But the real story is:
→human configures the robot side
→agent discovers the network path
→agent checks safety state
→agent turns language into physical action

That stack is what makes this exciting.

Not chatbot → answer.

Human + agent → working robot.

[Prayag Khanal @aiMindNme]

I gave my AI agent a robot arm.

This is Hermes running on my desktop, controlling Robot Arm over my local network.

How it worked:
1. Hermes scanned my LAN and found the robot
2. It checked the robot socket server
3. It connected with robot arm
4. Before moving anything, it read:
- joint angles
- current coordinates
- robot error state
5. Error state was 0, so it sent safe low-speed commands:
- joint 1 waved “hi”
- gripper opened wide
- joint 3 danced while the gripper opened/closed 10 times

No joystick.
No hardcoded demo routine.
No custom robotics UI.

Just me typing:
“make it dance” and the agent turning that into real robot motion.

This is the part of AI agents I’m most excited about:
not chatbots that answer questions, but software that can safely touch the physical world.

[Prayag Khanal @aiMindNme]

@coindotgo @HermesWatcher @BkashJosi @tonysimons_ @Teknium @imbabybrooklyn @tonbistudio @NousResearch @HermesAgentTips Appreciate for the tag ! @coindotgo. 🤝

[Hermes Release Watch @HermesWatcher]

If I were building an agent for my inbox from scratch, I wouldn’t try to make it do everything.

I’d start with four jobs:

• Sort what actually needs my attention
• Draft the replies that need to go out
• Track the conversations I’m waiting on
• Give me one clean daily briefing

That’s the foundation.

Get those four right, and your inbox starts becoming a decision queue instead of something you have to keep checking all day.

[Hermes Agent Super-Intel @BkashJosi]

This is the Hermes setup guide I wish I had on day one.🔥

Most guides show you what to install. @HermesWatcher explains what to decide, what can wait, and when to add more.

That matters when your setup starts filling up with skills, agents, plugins, and cron jobs—and you’re no longer sure which ones are helping.😎

My favorite part: he turns the full guide into a practical order. Get one working setup first. Use it for real work. Then add the next layer when you have a reason.

Read it if you’re starting Hermes or if your current setup needs a cleanup.

Which part did you add too early?✋

[Prayag Khanal @aiMindNme]

Please do.

[Prayag Khanal @aiMindNme]

Hermes getting better from experience is exciting.

But there’s another side to self-improving agents we should think about early:

Learning comes with baggage.

An agent that runs for years won't just accumulate good lessons. It can accumulate:

→ outdated assumptions
→ duplicate skills
→ obsolete workarounds
→ contradictory memories
→ behaviors optimized for yesterday's environment

Not retrieving something isn't the same as forgetting it.

Eventually, self-improvement needs a second loop:

Learn → Evaluate → Consolidate → Forget

Imagine giving an agent a memory garbage collector:

• track how often knowledge is useful
• detect when a newer skill supersedes an older one
• merge duplicate lessons
• decay low-value memories
• archive before deleting
• periodically re-evaluate what it "knows"

The goal shouldn't be an agent that remembers everything.

It should be an agent that gets better at deciding what is worth remembering.

Otherwise today's self-improving agent could become tomorrow's self-accumulating agent.

Maybe forgetting is just as important to AGI as learning.

[Prayag Khanal @aiMindNme]

@agentmail @agentmail definitely, but should be away from how humans use it. Email sent by agents or between agents should have more guardrail and anonymous emails should not be allowed.