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Meet Hermes Agent, the open source agent that grows with you. Hermes Agent remembers what it learns and gets more capable over time, with a multi-level memory system and persistent dedicated machine access.

3,993,960 次观看 • 8 个月前 •via X (Twitter)

46 条评论

Nous Research 的头像
Nous Research8 个月前

Hermes Agent runs in your CLI and through messaging platforms like Telegram, WhatsApp, Slack, and Discord - picking up and transferring sessions wherever you go. It has advanced agentic capabilities: command over subagents, programmatic tool calling, advanced filesystem/terminal control, agent-managed skills, browser use, scheduled tasks, and more.

Nous Research 的头像
Nous Research8 个月前

Powered by @OpenRouter and Nous Portal subscriptions. The first 750 new sign-ups at get a free month with coupon code HERMESAGENT.

Nous Research 的头像
Nous Research8 个月前

Hermes Agent is open source and built in Python, so it's easy for developers to extend. It sits between a Claude Code style CLI and an OpenClaw style messaging platform agent, with a wide range of skills and extensibility. It also powers our agentic RL pipeline, expanding Atropos so you can run RL with Hermes Agent primitives, and it supports mass-scale data generation out of the box. Check out the GitHub repo:

Teknium 🪽 的头像
Teknium 🪽8 个月前

Hope everyone enjoys! Join our discord to discuss:

𒐪 的头像
𒐪8 个月前

goodbye opencode, i met someone new

Nous Research 的头像
Nous Research8 个月前

😏

PHD in Being Correct 的头像
PHD in Being Correct8 个月前

Okay but who tf is on this beat?!? Production is crazy

Nous Research 的头像
Nous Research8 个月前

It’s a Nous original

SplitDaWig 🪴 的头像
SplitDaWig 🪴8 个月前

@GrayCarrots Drop the whole track

Nous Research 的头像
Nous Research8 个月前

@GrayCarrots Maybe we will!

Nous Research 的头像
Nous Research8 个月前

@GrayCarrots

dmayhem93 的头像
dmayhem938 个月前

going to be some really exciting things coming out of our rl pipelines with this

nightwing 的头像
nightwing8 个月前

the nightwing research machine has been loving this one, and you all will too

Teng Yan 的头像
Teng Yan8 个月前

very nice - congrats. better than openclaw?

Nous Research 的头像
Nous Research8 个月前

We think so

Parzival - ∞/89 的头像
Parzival - ∞/898 个月前

Open sourced?

Nous Research 的头像
Nous Research8 个月前

Always

SIGKITTEN 的头像
SIGKITTEN8 个月前

wait what did u guys cook here

Gabriel 的头像
Gabriel8 个月前

incredible

ex Tenebris Lucet 的头像
ex Tenebris Lucet8 个月前

@grok since this is open source, can you go investigate and figure out how the multi level memory system works?

ejae dev 的头像
ejae dev8 个月前

the multi-level memory is the most underrated part of this. everyone's building agents that can code, almost nobody is solving the memory degradation problem. agents that accumulate wrong memories over time get confidently worse, not better.

am.will 的头像
am.will8 个月前

Thanks for the free month!

🌸 ellie 🌸 的头像
🌸 ellie 🌸8 个月前

@jicapal @robotson hits keep coming. monitoring the situation. mac mini thesis intensifies

Denis Skripnik (blind) (✱,✱) 的头像
Denis Skripnik (blind) (✱,✱)8 个月前

Well done! Congratulations on such an important launch. Add an easy migration tool from OpenClaw—then it will be easier for those who want to switch to your agent.

BOOTOSHI 👑 的头像
BOOTOSHI 👑8 个月前

GORGEOUS TRAILER

jimmy 的头像
jimmy8 个月前

👀🫵

Brian Cheong 的头像
Brian Cheong8 个月前

Multi-level memory for persistent context is the right direction. The gap between 'I told it once' and 'it actually remembers' is where most agent workflows fall apart.

λux 的头像
λux8 个月前

banger release!! loved parallelism + multi-level memory system ⚡️

subho ghosh 的头像
subho ghosh8 个月前

Cooked

jonny 的头像
jonny8 个月前

been using hermes agent for a few weeks. It can cook fr 😎

Jobless ☉ 的头像
Jobless ☉8 个月前

this is exactly what I needed!

scoopy trooples 的头像
scoopy trooples7 个月前

let people look at the site before having to put in personal information

Anglo Sigma 的头像
Anglo Sigma8 个月前

I need music like this on a playlist. What genre called?

Nous Research 的头像
Nous Research8 个月前

We haven't named it yet!

Anglo Sigma 的头像
Anglo Sigma8 个月前

Similar to Stardew Valley soundtrack but better. More bass. More cyber.

Varun 的头像
Varun8 个月前

very original work guys. good job.

Nous Research 的头像
Nous Research8 个月前

Bro invented green terminal output

Varun 的头像
Varun8 个月前

it felt like deja nous

Agent 23: The Patriot 的头像
Agent 23: The Patriot8 个月前

Would 100% make this my primary agent if it played this on startup every morning

homanp 的头像
homanp8 个月前

the agent memory problem is mostly a curation problem. what you choose NOT to remember matters as much as what you do.

sxcpc 的头像
sxcpc8 个月前

10/10 on the aesthetics

Thomas Ip 的头像
Thomas Ip8 个月前

Nous on X news 👀

Allora 的头像
Allora8 个月前

I love how fast AI is moving currently.

gr33nsilky 的头像
gr33nsilky8 个月前

cool music

Tom Lynch 的头像
Tom Lynch8 个月前

Nice!!

Dushyant 的头像
Dushyant8 个月前

Sweet! Have to give this a go.. openclaw with codex is really dumb and openclaw with Claude.. not feasible

相关视频

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

23,088 次观看 • 4 个月前

HERMES AGENT WITHOUT THESE 3 FILES IS A CHATBOT. WITH THEM IT KNOWS WHO IT IS, WHO YOU ARE, AND WHAT IT LEARNED. SOUL.md — who the agent is. first thing in the system prompt. defines personality, voice, values, how it operates, what it can and can't do. structure yours like this: → identity (name, role, relationship to you) → values (what matters, what principles guide decisions) → voice (how it communicates, tone, style) → operations (autonomy level, ground rules) → restrictions (what it never does) → failure protocol (how to operate when things break) lives in ~/.hermes/SOUL.md. auto-seeded on first install. edit anytime. scanned for prompt injection on every load. keep it concise. SOUL.md injects into every turn. a 200-line soul burns tokens on every message. aim for 50-80 lines. one paragraph per section. MEMORY.md — what the agent remembers. persistent facts, insights, preferences. survives across sessions and restarts. capped at ~800 tokens by default: memory: memory_char_limit: 2200 the agent writes to this automatically as it learns about your work. USER.md — who you are. your profile, preferences, context. capped at ~500 tokens by default: memory: user_char_limit: 1375 injected every turn so the agent always knows who it's working for. bonus: AGENTS.md — project-specific instructions. drop one in any project folder. subdirectory AGENTS.md files load lazily during tool calls, not at startup. keeps your system prompt light. prompt stack order on every turn: SOUL.md → tool guidance → MEMORY.md + USER.md → skills index → AGENTS.md → platform hints skills come preloaded. 60+ built-in tools. the agent creates more skills from completed work. you focus on these 3 files. each profile gets its own copy: ~/.hermes/SOUL.md (default profile) ~/.hermes/profiles/researcher/SOUL.md ~/.hermes/profiles/ops/SOUL.md different agent, different soul, different memory, same machine. full breakdown of Hermes as a Personal AI OS in the article 👇

YanXbt

28,924 次观看 • 4 个月前