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A living map of everything your Hermes agent has learned; every memory & skill Press play to watch it unfold, Nous Research Copy yours into a code, paste a friend's to explore theirs

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59,578 просмотров • 2 месяцев назад •via X (Twitter)

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Give your Hermes agent ( Nous Research ) a memory upgrade 👇
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Give your Hermes agent ( Nous Research ) a memory upgrade 👇

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Teach an agent a workflow once. Have it remember after every rebuild. This tutorial shows how to deploy Nous Research Hermes Agent with NVIDIA NemoClaw and OpenShell, connect it to Slack, Outlook, GitHub, and NVIDIA developer forums, then turn a chat correction into a reusable skill. Private data stays behind runtime policies. Learned skills persist across deployments.
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Teach an agent a workflow once. Have it remember after every rebuild. This tutorial shows how to deploy Nous Research Hermes Agent with NVIDIA NemoClaw and OpenShell, connect it to Slack, Outlook, GitHub, and NVIDIA developer forums, then turn a chat correction into a reusable skill. Private data stays behind runtime policies. Learned skills persist across deployments.

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Hermes Agent now has HyperFrames skill, natively a close collab with Nous Research One-line install $ hermes skills install hyperframes X post -> 30s explainer A PDF -> walkthrough vid A repo -> launch reel make your Hermes Agent your video editor
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Hermes Agent by Nous Research natively integrates with Give Hermes any URL and find a skill for it in our catalog, or create your own. Watch it find the NASA picture of the day for me.
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while the self-learning poll runs, here is how to actually look at what your agent has picked up: type '/journey' in Hermes Desktop and enjoy a day-by-day timeline of every skill and memory your agent has learned since day one. it also lists each node, so you can see your interconnected skills and memories.
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while the self-learning poll runs, here is how to actually look at what your agent has picked up: type '/journey' in Hermes Desktop and enjoy a day-by-day timeline of every skill and memory your agent has learned since day one. it also lists each node, so you can see your interconnected skills and memories.

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When your tool is open source and free, your creativity has no ceiling. The ComfyUI skill in Nous Research Hermes Agent lets you compose sophisticated workflows by chatting to an agent. Try it today.
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When your tool is open source and free, your creativity has no ceiling. The ComfyUI skill in Nous Research Hermes Agent lets you compose sophisticated workflows by chatting to an agent. Try it today.

ComfyUI

163,304 просмотров • 3 месяцев назад

HERMES AGENT LEARNS FROM ITS OWN MISTAKES. UPDATES ITS MEMORY. CREATES ITS OWN SKILLS. NO CLOUD. EVERYTHING STORED LOCALLY. THIS IS HOW THE SELF-IMPROVING LOOP WORKS. most agents start from zero every session. Hermes carries forward what it learned. THREE MEMORY SYSTEMS: 1. PROCEDURAL MEMORY (how to act) stored in ~/.hermes/skills/ as SKILL.md files. when the agent repeats a complex workflow, it saves the procedure as a reusable skill. next time the same task comes up, it follows the skill instead of figuring it out again. you can also create skills explicitly: "create a skill called video-prep that captures how I format my video scripts. spoken english, define jargon inline, no em-dashes, close with a catchphrase." the agent writes the SKILL.md. available as a slash command from that moment. Hermes ships with 90+ skills. the number grows the longer you use it. 2. SEMANTIC MEMORY (durable facts about you) stored in ~/.hermes/memory/memory.md the agent scans conversations for facts worth remembering. preferences, habits, corrections, project details. real example from the video: agent tried to scrape a YouTube channel. URL was wrong. it failed. it updated memory.md with the correct URL pattern so it never makes the same mistake again. you can also save explicitly: "save to memory that my favorite testing framework is pytest" the agent updates memory.md immediately. this file loads into context on every session. the agent knows you better every week. 3. EPISODIC MEMORY (chat history) stored in ~/.hermes/state.db (local SQLite). every conversation. every tool call. every result. searchable with FTS5 full-text search. "search our past sessions. what was the first thing I ever said to you?" the agent queries state.db and finds it. over time, auxiliary models consolidate episodic memory into semantic memory. distilling recurring patterns into durable facts. THE SELF-IMPROVING LOOP: every agent run follows this cycle: → you send a prompt → working memory loads: SOUL.md + memory.md + relevant skills + chat history → agent calls tools (terminal, browser, delegate_task) → agent completes the task, replies to you → AFTER the reply: agent checks "did I learn something worth saving?" → if yes: updates memory.md or creates a new skill → next session starts smarter than the last this happens automatically. you don't ask the agent to learn. it decides what to remember on its own. WHAT MAKES THIS DIFFERENT FROM CLAUDE CODE: Claude Code has memory too. but Hermes stores everything locally. no cloud. your data never leaves your machine. Claude Code doesn't auto-create skills from experience. Hermes turns repeated workflows into reusable procedures. Claude Code memory is instruction-based. Hermes memory is conversational and self-updating. over months of usage, Hermes builds a knowledge base of your preferences, your projects, your mistakes, and the procedures that work for your specific workflow. the agent that remembers your birthday also remembers why your last deploy failed. NO EMBEDDINGS. PLAIN TEXT. Hermes does not use embeddings or RAG for memory. skill and memory search runs on plain text keyword matching. simpler. faster. no vector database to maintain. works entirely offline on your local machine. DELEGATE TO CLAUDE CODE: Hermes can spawn a sub-agent that runs Claude Code in headless mode: "spawn a sub-agent using Claude CLI to build a Python script that fetches the top 5 Hacker News stories to markdown." Hermes delegates. Claude Code writes the code. result returns to Hermes. Hermes runs the script and delivers the output. use Hermes for orchestration. use Claude Code for heavy coding. both tools. not competitors. WHAT HERMES DOES NOT HAVE: no built-in eval or LMOps system. no LangSmith, no LangFuse integration out of the box. trajectory export and logs exist but there is no automated quality tracking. if you need eval, build it yourself or connect external tools. the loop is self-improving. measuring how well it improves is on you. comment LOOP and I'll send you the configs that control how fast Hermes learns and what it remembers. memory limits, skill auto-creation triggers, and the auxiliary model that runs the learning. Replace your entire team with 8 hermes agents👇
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HERMES AGENT LEARNS FROM ITS OWN MISTAKES. UPDATES ITS MEMORY. CREATES ITS OWN SKILLS. NO CLOUD. EVERYTHING STORED LOCALLY. THIS IS HOW THE SELF-IMPROVING LOOP WORKS. most agents start from zero every session. Hermes carries forward what it learned. THREE MEMORY SYSTEMS: 1. PROCEDURAL MEMORY (how to act) stored in ~/.hermes/skills/ as SKILL.md files. when the agent repeats a complex workflow, it saves the procedure as a reusable skill. next time the same task comes up, it follows the skill instead of figuring it out again. you can also create skills explicitly: "create a skill called video-prep that captures how I format my video scripts. spoken english, define jargon inline, no em-dashes, close with a catchphrase." the agent writes the SKILL.md. available as a slash command from that moment. Hermes ships with 90+ skills. the number grows the longer you use it. 2. SEMANTIC MEMORY (durable facts about you) stored in ~/.hermes/memory/memory.md the agent scans conversations for facts worth remembering. preferences, habits, corrections, project details. real example from the video: agent tried to scrape a YouTube channel. URL was wrong. it failed. it updated memory.md with the correct URL pattern so it never makes the same mistake again. you can also save explicitly: "save to memory that my favorite testing framework is pytest" the agent updates memory.md immediately. this file loads into context on every session. the agent knows you better every week. 3. EPISODIC MEMORY (chat history) stored in ~/.hermes/state.db (local SQLite). every conversation. every tool call. every result. searchable with FTS5 full-text search. "search our past sessions. what was the first thing I ever said to you?" the agent queries state.db and finds it. over time, auxiliary models consolidate episodic memory into semantic memory. distilling recurring patterns into durable facts. THE SELF-IMPROVING LOOP: every agent run follows this cycle: → you send a prompt → working memory loads: SOUL.md + memory.md + relevant skills + chat history → agent calls tools (terminal, browser, delegate_task) → agent completes the task, replies to you → AFTER the reply: agent checks "did I learn something worth saving?" → if yes: updates memory.md or creates a new skill → next session starts smarter than the last this happens automatically. you don't ask the agent to learn. it decides what to remember on its own. WHAT MAKES THIS DIFFERENT FROM CLAUDE CODE: Claude Code has memory too. but Hermes stores everything locally. no cloud. your data never leaves your machine. Claude Code doesn't auto-create skills from experience. Hermes turns repeated workflows into reusable procedures. Claude Code memory is instruction-based. Hermes memory is conversational and self-updating. over months of usage, Hermes builds a knowledge base of your preferences, your projects, your mistakes, and the procedures that work for your specific workflow. the agent that remembers your birthday also remembers why your last deploy failed. NO EMBEDDINGS. PLAIN TEXT. Hermes does not use embeddings or RAG for memory. skill and memory search runs on plain text keyword matching. simpler. faster. no vector database to maintain. works entirely offline on your local machine. DELEGATE TO CLAUDE CODE: Hermes can spawn a sub-agent that runs Claude Code in headless mode: "spawn a sub-agent using Claude CLI to build a Python script that fetches the top 5 Hacker News stories to markdown." Hermes delegates. Claude Code writes the code. result returns to Hermes. Hermes runs the script and delivers the output. use Hermes for orchestration. use Claude Code for heavy coding. both tools. not competitors. WHAT HERMES DOES NOT HAVE: no built-in eval or LMOps system. no LangSmith, no LangFuse integration out of the box. trajectory export and logs exist but there is no automated quality tracking. if you need eval, build it yourself or connect external tools. the loop is self-improving. measuring how well it improves is on you. comment LOOP and I'll send you the configs that control how fast Hermes learns and what it remembers. memory limits, skill auto-creation triggers, and the auxiliary model that runs the learning. Replace your entire team with 8 hermes agents👇

YanXbt

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Say hello to open source deep research for your favorite agent harness. Our AI-Q agent skill packages the work of building a research pipeline into a portable skill. Drop it into your harness, and the agent delegates a research task to a local or hosted AI-Q server and gets back a detailed report with citations. See it in Codex below 👇
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Say hello to open source deep research for your favorite agent harness. Our AI-Q agent skill packages the work of building a research pipeline into a portable skill. Drop it into your harness, and the agent delegates a research task to a local or hosted AI-Q server and gets back a detailed report with citations. See it in Codex below 👇

NVIDIA AI

76,354 просмотров • 3 месяцев назад

I didn't touch TouchDesigner myself. Hermes agent learned it from scratch and built this: → navigated my desktop with computer use → figured out how to connect to TouchDesigner → read my reference images → iterated on the art with me in a self-learning loop → then saved what it learned as a reusable skill for the next image all powered by MiniMax (official) M3 × Hermes Desktop Agent Nous Research Here's a full breakdown 📽️
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I didn't touch TouchDesigner myself. Hermes agent learned it from scratch and built this: → navigated my desktop with computer use → figured out how to connect to TouchDesigner → read my reference images → iterated on the art with me in a self-learning loop → then saved what it learned as a reusable skill for the next image all powered by MiniMax (official) M3 × Hermes Desktop Agent Nous Research Here's a full breakdown 📽️

Amber Shen

119,191 просмотров • 2 месяцев назад

HERMES AGENT + OBSIDIAN IS A COMBINATION NOBODY IS TALKING ABOUT. Hermes ships with a bundled Obsidian skill. read, search, and create notes in your vault out of the box. why this combination is powerful: Hermes built-in memory is capped. MEMORY.md: 2,200 chars (~800 tokens). USER.md: 1,375 chars (~500 tokens). Obsidian vault has no cap. your agent writes research, session summaries, project context, and learned patterns as linked markdown notes. unlimited depth. the agent creates indexed notes by design. timestamps, backlinks, tags. every note connects to the knowledge graph. three ways to integrate: 1. BUNDLED OBSIDIAN SKILL (simplest) ships with Hermes. reads, searches, creates notes in your vault directly. hermes skills list | grep obsidian 2. OBSIDIAN MCP SERVER (deepest) 30+ tools: full-text search, tag lookup, note management, vault analysis, link analysis, orphan detection. add it via: hermes mcp 3. TELEGRAM + CRON → VAULT (always-on) set a cron job that writes daily summaries, research findings, or task reports directly into your Obsidian vault. your agent feeds the vault while you sleep. you review in Obsidian when you're ready. the unlock: Hermes memory handles what the agent needs to know per session (capped, injected). Obsidian handles everything the agent has ever learned (uncapped, searchable). short-term in Hermes. long-term in Obsidian. both accessible. both persistent. keep the vault scope narrow at first. start with one /Hermes folder. expand once you trust the workflow. 8 Loops Indise Hermes Agent👇
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HERMES AGENT + OBSIDIAN IS A COMBINATION NOBODY IS TALKING ABOUT. Hermes ships with a bundled Obsidian skill. read, search, and create notes in your vault out of the box. why this combination is powerful: Hermes built-in memory is capped. MEMORY.md: 2,200 chars (~800 tokens). USER.md: 1,375 chars (~500 tokens). Obsidian vault has no cap. your agent writes research, session summaries, project context, and learned patterns as linked markdown notes. unlimited depth. the agent creates indexed notes by design. timestamps, backlinks, tags. every note connects to the knowledge graph. three ways to integrate: 1. BUNDLED OBSIDIAN SKILL (simplest) ships with Hermes. reads, searches, creates notes in your vault directly. hermes skills list | grep obsidian 2. OBSIDIAN MCP SERVER (deepest) 30+ tools: full-text search, tag lookup, note management, vault analysis, link analysis, orphan detection. add it via: hermes mcp 3. TELEGRAM + CRON → VAULT (always-on) set a cron job that writes daily summaries, research findings, or task reports directly into your Obsidian vault. your agent feeds the vault while you sleep. you review in Obsidian when you're ready. the unlock: Hermes memory handles what the agent needs to know per session (capped, injected). Obsidian handles everything the agent has ever learned (uncapped, searchable). short-term in Hermes. long-term in Obsidian. both accessible. both persistent. keep the vault scope narrow at first. start with one /Hermes folder. expand once you trust the workflow. 8 Loops Indise Hermes Agent👇

YanXbt

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I gave my coding agent a map across 3 of my repos: - Reduce ~50% token - a grep hook so every grep call has much richer info - trace any function's call chain + blast radius Really can feel my agent is getting A LOT smarter; I added to my codebase setup skill + 8-min deep dive: Copy it. Adapt it to your codebase.
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I gave my coding agent a map across 3 of my repos: - Reduce ~50% token - a grep hook so every grep call has much richer info - trace any function's call chain + blast radius Really can feel my agent is getting A LOT smarter; I added to my codebase setup skill + 8-min deep dive: Copy it. Adapt it to your codebase.

Jason Zhou

81,271 просмотров • 2 месяцев назад

Announcing Agent Recipes! A site to learn about agent/workflow recipes with code examples that you can easily copy & paste into your own AI apps. I'm gonna make this the go-to resource for devs to learn about agents & how to implement them – more soon.
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Announcing Agent Recipes! A site to learn about agent/workflow recipes with code examples that you can easily copy & paste into your own AI apps. I'm gonna make this the go-to resource for devs to learn about agents & how to implement them – more soon.

Hassan

256,250 просмотров • 1 год назад

Errors!! That's the most stressful part about AI coding We lose 40% credits in debugging code We tried to solve it with CodeGuide Debug Agent Just screenshot your error message and upload/paste it The Agent will write a detailed debug prompt Copy & paste it. Error solved.
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Errors!! That's the most stressful part about AI coding We lose 40% credits in debugging code We tried to solve it with CodeGuide Debug Agent Just screenshot your error message and upload/paste it The Agent will write a detailed debug prompt Copy & paste it. Error solved.

CJ Zafir

12,554 просмотров • 1 год назад

HUD mode Hermes stops being a window you switch to and becomes a layer over the app you're both working in. Or keep it around as a little buddy agent. Ask it random things, drag it anywhere, it's yours Nous Research
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HUD mode Hermes stops being a window you switch to and becomes a layer over the app you're both working in. Or keep it around as a little buddy agent. Ask it random things, drag it anywhere, it's yours Nous Research

Brooklyn!

330,763 просмотров • 21 дней назад

Your iPhone has a dictation button now. Map the Action Button to Monologue, press the side of your phone, and start talking. No app to open. Your transcript is ready to paste when you’re done. Naveen Naidu shows how it works 👇
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Your iPhone has a dictation button now. Map the Action Button to Monologue, press the side of your phone, and start talking. No app to open. Your transcript is ready to paste when you’re done. Naveen Naidu shows how it works 👇

Every 🧱

37,774 просмотров • 2 месяцев назад

Your AI agent: reading email, answering Telegram, writing code. Now living in a 3D room where you walk in, talk to it, toggle skills, wire integrations. Shipping soon to OpenClaw🦞 Nous Research elizaOS Solana
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Your AI agent: reading email, answering Telegram, writing code. Now living in a 3D room where you walk in, talk to it, toggle skills, wire integrations. Shipping soon to OpenClaw🦞 Nous Research elizaOS Solana

HatcherLabs

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🔊 SOUND ON: Introducing: Suno CLI/Claude Code Skill/OpenClaw🦞 and Hermes skill from the Printing Press 🥁🖨️ •Suno has no API. Your agent doesn't care - make songs from Claude Code, Codex, Nous Research Hermes, OpenClaw, or your workflows •One prompt -> two takes back -> winner picked and shipped as mp3 + cover + lyrics + json in one command •2,000-clip library synced to local SQLite, searchable offline •Budget caps that actually refuse before your agent burns your credits •Much more 🔊 "AI vs Human Beatbox Battle" by Neon Sardine Orchestra:
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🔊 SOUND ON: Introducing: Suno CLI/Claude Code Skill/OpenClaw🦞 and Hermes skill from the Printing Press 🥁🖨️ •Suno has no API. Your agent doesn't care - make songs from Claude Code, Codex, Nous Research Hermes, OpenClaw, or your workflows •One prompt -> two takes back -> winner picked and shipped as mp3 + cover + lyrics + json in one command •2,000-clip library synced to local SQLite, searchable offline •Budget caps that actually refuse before your agent burns your credits •Much more 🔊 "AI vs Human Beatbox Battle" by Neon Sardine Orchestra:

Matt Van Horn

18,020 просмотров • 2 месяцев назад

TIME TO SHIP! Today I'm launching Hermes OS, a one-click deployment solution for anyone to securely run Hermes Agent by Nous Research + added a few extra features 🧵⬇️
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TIME TO SHIP! Today I'm launching Hermes OS, a one-click deployment solution for anyone to securely run Hermes Agent by Nous Research + added a few extra features 🧵⬇️

Ash

24,418 просмотров • 4 месяцев назад

Introducing Figma export in MagicPath. Design and build with our native agent, or your favorite external one (Codex, Claude Code, etc.). Explore tons of different directions, then bring your work into Figma as fully editable designs. As simple as a copy-paste.
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Introducing Figma export in MagicPath. Design and build with our native agent, or your favorite external one (Codex, Claude Code, etc.). Explore tons of different directions, then bring your work into Figma as fully editable designs. As simple as a copy-paste.

Pietro Schirano

42,132 просмотров • 3 месяцев назад

A preview of FLUX 3 is now available on Hermes agent for 48h. Hermes chains shots into full short films, one prompt end to end. They're running a short film contest all week: Nous Research has the details. Or try it in person: FLUX 3 live at our SF event, this Friday.
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A preview of FLUX 3 is now available on Hermes agent for 48h. Hermes chains shots into full short films, one prompt end to end. They're running a short film contest all week: Nous Research has the details. Or try it in person: FLUX 3 live at our SF event, this Friday.

Black Forest Labs

321,938 просмотров • 1 месяц назад