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Hermes Agents aren’t making it easy for OpenClaw. the reason Hermes took off needs to be studied, some personal thoughts: > Hermes won the lottery for timing. OpenClaw proved the demand but took so much hit for being the first. the take-off was huge but it went down just...

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29,315 просмотров • 3 месяцев назад •via X (Twitter)

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Hermes Agent beat OpenClaw on Grok 4.5 in a real security audit. — Hermes: $4.63 / 1.42M tokens / 5m 4s — OpenClaw: $1.31 / 396K tokens / 2m 55s So why would you ever pay more? Because Hermes caught what OpenClaw missed. It flagged the AWS key as a copy-paste docs example instead of a live secret, found the file's path sitting in shell history, and shipped a per-provider rotation checklist that actually closes the incident. OpenClaw was faster, cheaper, and cleaner to read, but it measured the keys without ever asking whether they were real, and stopped at the file instead of chasing where the leak could spread. The honest verdict: OpenClaw is the efficient baseline, perfect when you want a quick, cheap scan. Hermes is the one you want when it actually matters, because it spends the extra time and tokens on judgment, not padding.
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Hermes Agent beat OpenClaw on Grok 4.5 in a real security audit. — Hermes: $4.63 / 1.42M tokens / 5m 4s — OpenClaw: $1.31 / 396K tokens / 2m 55s So why would you ever pay more? Because Hermes caught what OpenClaw missed. It flagged the AWS key as a copy-paste docs example instead of a live secret, found the file's path sitting in shell history, and shipped a per-provider rotation checklist that actually closes the incident. OpenClaw was faster, cheaper, and cleaner to read, but it measured the keys without ever asking whether they were real, and stopped at the file instead of chasing where the leak could spread. The honest verdict: OpenClaw is the efficient baseline, perfect when you want a quick, cheap scan. Hermes is the one you want when it actually matters, because it spends the extra time and tokens on judgment, not padding.

atomicbot.ai

58,421 просмотров • 1 месяц назад

We’re partnering with MiniMax (official) across product and models to make their upcoming releases the best for Hermes Agent users. MiniMax models are already some of the most-used in Hermes Agent. If you haven’t tried MiniMax M2.7 in Hermes Agent, try it today in the Nous Portal!
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We’re partnering with MiniMax (official) across product and models to make their upcoming releases the best for Hermes Agent users. MiniMax models are already some of the most-used in Hermes Agent. If you haven’t tried MiniMax M2.7 in Hermes Agent, try it today in the Nous Portal!

Nous Research

343,817 просмотров • 4 месяцев назад

The first NFT millionaires were humans. The next NFT millionaires will be agents. Introducing the first NFT collection for OpenClaw agents. Claws is a 4,200 supply PFP collection exclusively for OpenClaw🦞 agents on Solana Your agent reads a skill doc, calls the API, signs the transaction, and gets its NFT. Free mint. 81 hand-drawn traits. Took a few intense build sessions to get the signature verification flow right with the Candy Machine guards but seeing agents mint their own PFPs made it worth it Send your agent:
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The first NFT millionaires were humans. The next NFT millionaires will be agents. Introducing the first NFT collection for OpenClaw agents. Claws is a 4,200 supply PFP collection exclusively for OpenClaw🦞 agents on Solana Your agent reads a skill doc, calls the API, signs the transaction, and gets its NFT. Free mint. 81 hand-drawn traits. Took a few intense build sessions to get the signature verification flow right with the Candy Machine guards but seeing agents mint their own PFPs made it worth it Send your agent:

DogeFather (🦴)

240,011 просмотров • 6 месяцев назад

ClawUp is quickly becoming one of the clearest entry points for builders deploying OpenClaw🦞 and Hermes agents across multiple ecosystems. The OpenClaw Summer Builder Bootcamp 2026 is a golden opportunity to learn how to build specialist agents that can actually work, transact, and earn. Qualifying teams may be fast-tracked into Stage 2 of the GOAT AI Builder Grants Program, with up to $1M in funding available. Bootcamp applications close June 24th: Get started today with
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ClawUp is quickly becoming one of the clearest entry points for builders deploying OpenClaw🦞 and Hermes agents across multiple ecosystems. The OpenClaw Summer Builder Bootcamp 2026 is a golden opportunity to learn how to build specialist agents that can actually work, transact, and earn. Qualifying teams may be fast-tracked into Stage 2 of the GOAT AI Builder Grants Program, with up to $1M in funding available. Bootcamp applications close June 24th: Get started today with

GOAT Network

122,557 просмотров • 2 месяцев назад

You can now give your Agent its own: + Profile + Wallet + DMs + Network One setup prompt. No human in the loop required. An open playground for people and agents to interact. Works with Hermes, Openclaw and any other harness. Copy the prompt below ↓↓↓
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You can now give your Agent its own: + Profile + Wallet + DMs + Network One setup prompt. No human in the loop required. An open playground for people and agents to interact. Works with Hermes, Openclaw and any other harness. Copy the prompt below ↓↓↓

Zora

55,319 просмотров • 2 месяцев назад

wow.. AI agents can do 4K VFX for you now connect Kling MCP to OpenClaw or Hermes, the agent controls your computer to key green screen, replace bg, swap actors, add VFX by itself here’s how to install and use it:
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wow.. AI agents can do 4K VFX for you now connect Kling MCP to OpenClaw or Hermes, the agent controls your computer to key green screen, replace bg, swap actors, add VFX by itself here’s how to install and use it:

el.cine

272,317 просмотров • 1 месяц назад

Since subscribers can now use their existing Grok credentials directly within the Hermes xai shipped grok-via-oauth for hermes. your grok sub works inside the agent now. so i hooked icarus up to it. when hermes finds a thread worth saving, it lands in my obsidian vault as a note. handle. pages, topic pages, backlinks. graph view fills itself out. icarus plugin for hermes agents is why my agent doesn't forget. memory is just markdown in a folder. you can read it, grep it, edit it. Congrats to Teknium 🪽 and Nous Research
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Since subscribers can now use their existing Grok credentials directly within the Hermes xai shipped grok-via-oauth for hermes. your grok sub works inside the agent now. so i hooked icarus up to it. when hermes finds a thread worth saving, it lands in my obsidian vault as a note. handle. pages, topic pages, backlinks. graph view fills itself out. icarus plugin for hermes agents is why my agent doesn't forget. memory is just markdown in a folder. you can read it, grep it, edit it. Congrats to Teknium 🪽 and Nous Research

Icarus

14,652 просмотров • 3 месяцев назад

I built a 1-click deploy for Hermes Agent No terminal, no Docker, no API keys. In one click it: → Spins up a dedicated cloud container → Configures Hermes with persistent memory & 70+ skills → Connects it to your Telegram bot → Goes live in under 60 seconds Your own AI agent that learns, creates skills, and gets smarter the longer it runs. Reply "HERMES" + RT and I'll send you the link (must be following so I can DM)
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I built a 1-click deploy for Hermes Agent No terminal, no Docker, no API keys. In one click it: → Spins up a dedicated cloud container → Configures Hermes with persistent memory & 70+ skills → Connects it to your Telegram bot → Goes live in under 60 seconds Your own AI agent that learns, creates skills, and gets smarter the longer it runs. Reply "HERMES" + RT and I'll send you the link (must be following so I can DM)

Chris

34,698 просмотров • 5 месяцев назад

Hermes Agent vs OpenClaw using Qwen 35B Local Model We asked agents to scrape GitHub star history for both tools, find what caused the growth spikes, build a live dashboard in the browser. MacBook Pro M5 Max 64Gb OpenClaw: 203k tokens, 12m 01s - wrote a bash script Hermes: 257k tokens, 33m 01s - wrote a SKILL.md OpenClaw hit GitHub API, got truncated responses, paginated through contributors, pulled star-history JSON, found a security incident in OpenClaw's history, fetched SVGs, fixed broken HTML from trimming, rewrote it clean. Hermes parallel tool calls across GitHub API, web search, and browser. Hit Google rate limit, auto-switched to DuckDuckGo. Fetched article contents, mapped viral moments, then built the dashboard. Both shipped a live dashboard with star growth charts and spike annotations
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Hermes Agent vs OpenClaw using Qwen 35B Local Model We asked agents to scrape GitHub star history for both tools, find what caused the growth spikes, build a live dashboard in the browser. MacBook Pro M5 Max 64Gb OpenClaw: 203k tokens, 12m 01s - wrote a bash script Hermes: 257k tokens, 33m 01s - wrote a SKILL.md OpenClaw hit GitHub API, got truncated responses, paginated through contributors, pulled star-history JSON, found a security incident in OpenClaw's history, fetched SVGs, fixed broken HTML from trimming, rewrote it clean. Hermes parallel tool calls across GitHub API, web search, and browser. Hit Google rate limit, auto-switched to DuckDuckGo. Fetched article contents, mapped viral moments, then built the dashboard. Both shipped a live dashboard with star growth charts and spike annotations

atomicbot.ai

605,729 просмотров • 3 месяцев назад

YOU CAN NOW CONTROL ALL YOUR HERMES AGENTS FROM ONE INTERFACE. 🚨 Someone just built Hermes Workspace - the most complete GUI for Hermes Agent. Instead of jumping between tools, everything lives in one place. What's inside: > Chat, terminal, memory browser, and skills manager > Run unlimited agents with 1 orchestrator > Kanban board to track everything your agents are doing > 2,000+ skills to install without leaving the workspace > Works with any LLM provider Stop managing agents manually and start running them like a pro 👀 100% Free. Open Source.
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YOU CAN NOW CONTROL ALL YOUR HERMES AGENTS FROM ONE INTERFACE. 🚨 Someone just built Hermes Workspace - the most complete GUI for Hermes Agent. Instead of jumping between tools, everything lives in one place. What's inside: > Chat, terminal, memory browser, and skills manager > Run unlimited agents with 1 orchestrator > Kanban board to track everything your agents are doing > 2,000+ skills to install without leaving the workspace > Works with any LLM provider Stop managing agents manually and start running them like a pro 👀 100% Free. Open Source.

Oliver Prompts

19,409 просмотров • 1 месяц назад

Atomic Bot put Hermes and OpenClaw head-to-head on the exact same task, running the same model (Qwen 3.6 35B) with the same goal: analyzing GitHub history, mapping growth spikes, and shipping a live dashboard in the browser. Key metrics to watch for 👀 > Time to complete the task > Tokens spent > Quality of the final result (dashboard in browser)
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Atomic Bot put Hermes and OpenClaw head-to-head on the exact same task, running the same model (Qwen 3.6 35B) with the same goal: analyzing GitHub history, mapping growth spikes, and shipping a live dashboard in the browser. Key metrics to watch for 👀 > Time to complete the task > Tokens spent > Quality of the final result (dashboard in browser)

🚨 AI News | TestingCatalog

142,411 просмотров • 3 месяцев назад

I stack Hermes agents with OpenClaw for financial research, and the results should be illegal. I track every politician, insider trader, and I know EXACTLY what moves they're making. If you can't beat them, join them. The exact playbook for printing money from insider trading (copy me): Requirements: • OpenClaw setup • Hermes Agent setup Step 1. Define your research thesis Before you send any prompts to either tool, you'll need to clarify exactly what you're trying to research. This could be: a specific industry, asset class, market sector, and so on. Examples: • Tracking smart money buys in the semiconductor industry • Tracking smart money buys in crypto • Tracking a specific politician and where they're bidding (like Nancy Pelosi) Step 2. Deploy Hermes agents to track the smart money (in parallel) Hermes is your data layer. Spin up 5 agents at the same time, each with one job: Agent 1: Track every politician's disclosed trades from the last 30 days (House and Senate stock disclosures) Agent 2: Pull insider transactions (Form 4 filings, CEO/CFO buys and sells) Agent 3: Scrape X sentiment from top 50 accounts on the topic Agent 4: Pull on-chain data (whale wallets, TVL, exchange flows) *if applicable* Agent 5: Monitor news, regulatory filings, and announcements from the last 30 days Each agent runs independently. You're not waiting for one to finish before the next starts. Step 3. Consolidate the output Once your Hermes agents finish, dump every output into a single document. (don't filter or summarize) - you want OpenClaw to see the raw data. Step 4. Feed it all into OpenClaw Open OpenClaw and paste the consolidated research file with this prompt: "Act as an elite macro analyst. Below is raw data gathered from multiple sources on [thesis], including politician disclosures and insider transactions. Synthesize the findings, identify the strongest signals and contradictions, flag any unusual smart-money activity, and give me a clear directional view with conviction levels. Flag any data gaps that need follow-up." OpenClaw will go deep, run its own reasoning chain, and produce a synthesized report. Done. Now you're literally tapping into the financial data they don't want you to see (it's all public - you just had to find it). Make sure to save this playbook so you don't lose it!
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I stack Hermes agents with OpenClaw for financial research, and the results should be illegal. I track every politician, insider trader, and I know EXACTLY what moves they're making. If you can't beat them, join them. The exact playbook for printing money from insider trading (copy me): Requirements: • OpenClaw setup • Hermes Agent setup Step 1. Define your research thesis Before you send any prompts to either tool, you'll need to clarify exactly what you're trying to research. This could be: a specific industry, asset class, market sector, and so on. Examples: • Tracking smart money buys in the semiconductor industry • Tracking smart money buys in crypto • Tracking a specific politician and where they're bidding (like Nancy Pelosi) Step 2. Deploy Hermes agents to track the smart money (in parallel) Hermes is your data layer. Spin up 5 agents at the same time, each with one job: Agent 1: Track every politician's disclosed trades from the last 30 days (House and Senate stock disclosures) Agent 2: Pull insider transactions (Form 4 filings, CEO/CFO buys and sells) Agent 3: Scrape X sentiment from top 50 accounts on the topic Agent 4: Pull on-chain data (whale wallets, TVL, exchange flows) *if applicable* Agent 5: Monitor news, regulatory filings, and announcements from the last 30 days Each agent runs independently. You're not waiting for one to finish before the next starts. Step 3. Consolidate the output Once your Hermes agents finish, dump every output into a single document. (don't filter or summarize) - you want OpenClaw to see the raw data. Step 4. Feed it all into OpenClaw Open OpenClaw and paste the consolidated research file with this prompt: "Act as an elite macro analyst. Below is raw data gathered from multiple sources on [thesis], including politician disclosures and insider transactions. Synthesize the findings, identify the strongest signals and contradictions, flag any unusual smart-money activity, and give me a clear directional view with conviction levels. Flag any data gaps that need follow-up." OpenClaw will go deep, run its own reasoning chain, and produce a synthesized report. Done. Now you're literally tapping into the financial data they don't want you to see (it's all public - you just had to find it). Make sure to save this playbook so you don't lose it!

Miles Deutscher

19,955 просмотров • 3 месяцев назад

Hermes meets SuperGrok! xAI just made every SuperGrok subscription work inside Hermes Agent. One browser login, no API key, no separate billing. And it doesn't just unlock text chat with Grok 4.3. The same OAuth token gives the agent access to: → Grok Text-to-Speech for spoken responses → Grok Imagine for image and video generation → x_search for real-time X/Twitter search I just added a new X Research Agent profile to my Hermes. Now my agent watches X while I ship. Setup takes about 60 seconds: Available on every SuperGrok tier, no restrictions. I wrote a full deep dive covering Hermes agent's architecture, memory system, self-evolving skills, GEPA optimization, and setting up multiple specialized agents The article is quoted below.
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Hermes meets SuperGrok! xAI just made every SuperGrok subscription work inside Hermes Agent. One browser login, no API key, no separate billing. And it doesn't just unlock text chat with Grok 4.3. The same OAuth token gives the agent access to: → Grok Text-to-Speech for spoken responses → Grok Imagine for image and video generation → x_search for real-time X/Twitter search I just added a new X Research Agent profile to my Hermes. Now my agent watches X while I ship. Setup takes about 60 seconds: Available on every SuperGrok tier, no restrictions. I wrote a full deep dive covering Hermes agent's architecture, memory system, self-evolving skills, GEPA optimization, and setting up multiple specialized agents The article is quoted below.

Akshay 🚀

147,042 просмотров • 3 месяцев назад

The lovely moustache of the Mirage ‘Milan’. It was a prototype developed in 1967. The small retractable front surfaces were designed to reduce take-off and approach distances for use in Switzerland. It made its first flight in 1970, but the project was cancelled.
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The lovely moustache of the Mirage ‘Milan’. It was a prototype developed in 1967. The small retractable front surfaces were designed to reduce take-off and approach distances for use in Switzerland. It made its first flight in 1970, but the project was cancelled.

Marlène Aviation

320,139 просмотров • 1 год назад

You took a chance on me and it paid off for both of us. Forever grateful for that. Gonna be weird seein you in a different outfit but somebody gonna get them a great coach with the best brains in the game. Bitter sweet but all great things come to an end. Hats off to the goat.
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You took a chance on me and it paid off for both of us. Forever grateful for that. Gonna be weird seein you in a different outfit but somebody gonna get them a great coach with the best brains in the game. Bitter sweet but all great things come to an end. Hats off to the goat.

Jamie Collins

336,280 просмотров • 2 лет назад

Excited to launch a new way to upskill with AI agents. This is how we are making it possible for anyone to learn to build with coding agents. To start, we are launching 4 new hands-on labs on the following topics: - Agent Skills - Agentic Image Generation - 30 Days of Hermes Agents - Prompt Engineering with Agents I am confident that with our new DAIR.AI platform, anyone can learn to become a top AI builder by building and acquiring highly-demanded AI skills. And there is a lot more landing in the coming weeks.
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Excited to launch a new way to upskill with AI agents. This is how we are making it possible for anyone to learn to build with coding agents. To start, we are launching 4 new hands-on labs on the following topics: - Agent Skills - Agentic Image Generation - 30 Days of Hermes Agents - Prompt Engineering with Agents I am confident that with our new DAIR.AI platform, anyone can learn to become a top AI builder by building and acquiring highly-demanded AI skills. And there is a lot more landing in the coming weeks.

elvis

19,058 просмотров • 2 месяцев назад

THIS DEVELOPER OPENED HERMES ON A LAPTOP, SPENT $0 ON API SETUP, SAVED 7 WORKFLOWS, AND CUT 2-HOUR CLIENT TASKS DOWN TO 14 MINUTES he is not giving a polished demo. he is just filming the laptop while Hermes runs, and that is why the clip works. you can see the terminal, the workspace, the task history, and the moment a normal chat tool starts looking like a local operating layer most people still run AI like a vending machine: 1 prompt, 1 answer, 1 reset. Hermes is different. after 5-10 repeated jobs, the useful steps start living inside skills instead of getting rewritten every morning the money math is where it gets ugly. $20 for Claude, $40-90 in API usage, $50 for wrappers, $29 for automation tools, and you are already near $140-190/month before you even sell the first report he used the same flow for 9 small research tasks: 18 competitor pages, 126 review snippets, 9 pricing checks, 9 summary drafts. the first one took 43 minutes. later runs were mostly review, edit, send that is the part people miss about Hermes. it is not trying to win the prettiest chatbot contest. it is trying to make repeated work stop leaking out of the machine every time the session ends
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THIS DEVELOPER OPENED HERMES ON A LAPTOP, SPENT $0 ON API SETUP, SAVED 7 WORKFLOWS, AND CUT 2-HOUR CLIENT TASKS DOWN TO 14 MINUTES he is not giving a polished demo. he is just filming the laptop while Hermes runs, and that is why the clip works. you can see the terminal, the workspace, the task history, and the moment a normal chat tool starts looking like a local operating layer most people still run AI like a vending machine: 1 prompt, 1 answer, 1 reset. Hermes is different. after 5-10 repeated jobs, the useful steps start living inside skills instead of getting rewritten every morning the money math is where it gets ugly. $20 for Claude, $40-90 in API usage, $50 for wrappers, $29 for automation tools, and you are already near $140-190/month before you even sell the first report he used the same flow for 9 small research tasks: 18 competitor pages, 126 review snippets, 9 pricing checks, 9 summary drafts. the first one took 43 minutes. later runs were mostly review, edit, send that is the part people miss about Hermes. it is not trying to win the prettiest chatbot contest. it is trying to make repeated work stop leaking out of the machine every time the session ends

Gipp 🦅

14,593 просмотров • 2 месяцев назад

Hermes HUD mode just became my live stock analyst I opened a chart and asked Hermes to analyze what it was seeing Instead of only explaining it in text, HUD drew directly over my screen: • Resistance • Support • Trend direction • Current price context So now Hermes can look at the same chart I’m looking at and annotate the analysis in real time. This is exactly what I wanted HUD mode to become. Not another chat window. An AI layer on top of whatever I’m already doing 👀
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Hermes HUD mode just became my live stock analyst I opened a chart and asked Hermes to analyze what it was seeing Instead of only explaining it in text, HUD drew directly over my screen: • Resistance • Support • Trend direction • Current price context So now Hermes can look at the same chart I’m looking at and annotate the analysis in real time. This is exactly what I wanted HUD mode to become. Not another chat window. An AI layer on top of whatever I’m already doing 👀

Luke The Dev

70,018 просмотров • 4 дней назад

I can no longer recommend folks use Openclaw its amazing and i have two mac minis but Claude Cowork Computer basically does all the same things but 1000% easier like this is what most people will use it for and its so much easier to get going than openclaw
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I can no longer recommend folks use Openclaw its amazing and i have two mac minis but Claude Cowork Computer basically does all the same things but 1000% easier like this is what most people will use it for and its so much easier to get going than openclaw

ashen

231,765 просмотров • 5 месяцев назад