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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.

Nous Research

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3,910,130 görüntüleme • 6 ay önce •via X (Twitter)

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Nous Research profil fotoğrafı

Nous Research6 ay önce

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 profil fotoğrafı

Nous Research6 ay önce

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

Nous Research profil fotoğrafı

Nous Research6 ay önce

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 🪽 profil fotoğrafı

Teknium 🪽6 ay önce

Hope everyone enjoys! Join our discord to discuss:

𒐪 profil fotoğrafı

𒐪6 ay önce

goodbye opencode, i met someone new

Nous Research profil fotoğrafı

Nous Research6 ay önce

😏

PHD in Being Correct profil fotoğrafı

PHD in Being Correct6 ay önce

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

Nous Research profil fotoğrafı

Nous Research6 ay önce

It’s a Nous original

SplitDaWig 🪴 profil fotoğrafı

SplitDaWig 🪴6 ay önce

@GrayCarrots Drop the whole track

Nous Research profil fotoğrafı

Nous Research6 ay önce

@GrayCarrots Maybe we will!

Nous Research profil fotoğrafı

Nous Research6 ay önce

@GrayCarrots

dmayhem93 profil fotoğrafı

dmayhem936 ay önce

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

nightwing profil fotoğrafı

nightwing6 ay önce

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

Teng Yan profil fotoğrafı

Teng Yan6 ay önce

very nice - congrats. better than openclaw?

Nous Research profil fotoğrafı

Nous Research6 ay önce

We think so

Parzival - ∞/89 profil fotoğrafı

Parzival - ∞/896 ay önce

Open sourced?

Nous Research profil fotoğrafı

Nous Research6 ay önce

Always

SIGKITTEN profil fotoğrafı

SIGKITTEN6 ay önce

wait what did u guys cook here

Gabriel profil fotoğrafı

Gabriel6 ay önce

incredible

ex Tenebris Lucet profil fotoğrafı

ex Tenebris Lucet6 ay önce

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

ejae dev profil fotoğrafı

ejae dev6 ay önce

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 profil fotoğrafı

am.will6 ay önce

Thanks for the free month!

🌸 ellie 🌸 profil fotoğrafı

🌸 ellie 🌸6 ay önce

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

Denis Skripnik (blind) (✱,✱) profil fotoğrafı

Denis Skripnik (blind) (✱,✱)6 ay önce

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 👑 profil fotoğrafı

BOOTOSHI 👑6 ay önce

GORGEOUS TRAILER

jimmy profil fotoğrafı

jimmy6 ay önce

👀🫵

Brian Cheong profil fotoğrafı

Brian Cheong6 ay önce

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 profil fotoğrafı

λux6 ay önce

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

subho ghosh profil fotoğrafı

subho ghosh6 ay önce

Cooked

jonny profil fotoğrafı

jonny6 ay önce

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

Jobless ☉ profil fotoğrafı

Jobless ☉6 ay önce

this is exactly what I needed!

scoopy trooples profil fotoğrafı

scoopy trooples6 ay önce

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

Anglo Sigma profil fotoğrafı

Anglo Sigma6 ay önce

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

Nous Research profil fotoğrafı

Nous Research6 ay önce

We haven't named it yet!

Anglo Sigma profil fotoğrafı

Anglo Sigma6 ay önce

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

Varun profil fotoğrafı

Varun6 ay önce

very original work guys. good job.

Nous Research profil fotoğrafı

Nous Research6 ay önce

Bro invented green terminal output

Varun profil fotoğrafı

Varun6 ay önce

it felt like deja nous

Agent 23: The Patriot profil fotoğrafı

Agent 23: The Patriot6 ay önce

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

homanp profil fotoğrafı

homanp6 ay önce

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

sxcpc profil fotoğrafı

sxcpc6 ay önce

10/10 on the aesthetics

Thomas Ip profil fotoğrafı

Thomas Ip6 ay önce

Nous on X news 👀

Allora profil fotoğrafı

Allora6 ay önce

I love how fast AI is moving currently.

gr33nsilky profil fotoğrafı

gr33nsilky6 ay önce

cool music

Tom Lynch profil fotoğrafı

Tom Lynch6 ay önce

Nice!!

Dushyant profil fotoğrafı

Dushyant6 ay önce

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

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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👇

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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My Hermes agent can now create LIVE datasets on the fly. Just added a real-time data layer to Hermes using the open-source TinyFish BigSet. First it builds the dataset. Then it finds the signal. This is WHAT agent-native research looks like in 2026.

My Hermes agent can now create LIVE datasets on the fly. Just added a real-time data layer to Hermes using the open-source TinyFish BigSet. First it builds the dataset. Then it finds the signal. This is WHAT agent-native research looks like in 2026.

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22,585 görüntüleme • 3 ay önce

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24,027 görüntüleme • 4 ay önce

You can run Hermes agent by Nous Research with Kimi K2.6 on atomicbot.ai VPS 🌑 Kimi.ai just dropped a new open source coding model. We asked Hermes to build and deploy a game. It did incredibly well!

You can run Hermes agent by Nous Research with Kimi K2.6 on atomicbot.ai VPS 🌑 Kimi.ai just dropped a new open source coding model. We asked Hermes to build and deploy a game. It did incredibly well!

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43,115 görüntüleme • 5 ay önce

My top open source repos: 1. Mission Control self-hosted AI agent orchestration dashboard tasks, multi-agent workflows, spend, governance 5.7k stars 2. awesome-hermes-agent curated skills, tools, integrations, and resources for Hermes Agent 4.6k stars 3. council-of-high-intelligence 18 AI personas deliberate hard decisions across multiple LLM providers 3.4k stars 4. xint X intelligence CLI for search, monitoring, analysis, and engagement 5. marketing-dashboard open-source marketing ops control center for AI agent teams 6. awesome-agent-cortex sovereign agent stack for memory, identity, and agent ownership the thesis is simple: agents need infrastructure, not more demos. Follow nyk moved → @nykdotdev for the daily build in public.

My top open source repos: 1. Mission Control self-hosted AI agent orchestration dashboard tasks, multi-agent workflows, spend, governance 5.7k stars 2. awesome-hermes-agent curated skills, tools, integrations, and resources for Hermes Agent 4.6k stars 3. council-of-high-intelligence 18 AI personas deliberate hard decisions across multiple LLM providers 3.4k stars 4. xint X intelligence CLI for search, monitoring, analysis, and engagement 5. marketing-dashboard open-source marketing ops control center for AI agent teams 6. awesome-agent-cortex sovereign agent stack for memory, identity, and agent ownership the thesis is simple: agents need infrastructure, not more demos. Follow nyk moved → @nykdotdev for the daily build in public.

nyk

20,220 görüntüleme • 2 ay önce

I’ve been waiting to post this! The Box Agent skill now ships pre-installed with Nous Research Hermes agent. Box gives Hermes the content and context to become a real collaborator at work. Update Hermes, prompt `connect to Box`, and your agent can now search, read, and write across Box with Box AI. Here’s a quick demo 👇

I’ve been waiting to post this! The Box Agent skill now ships pre-installed with Nous Research Hermes agent. Box gives Hermes the content and context to become a real collaborator at work. Update Hermes, prompt `connect to Box`, and your agent can now search, read, and write across Box with Box AI. Here’s a quick demo 👇

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12,794 görüntüleme • 4 ay önce

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 görüntüleme • 3 ay önce

LFG! Nous Research's Hermes Agent is live on the Umbrel App Store! It's an AI agent that gets smarter the longer it runs, remembers stuff with persistent memory across sessions, learns your workflow, and autonomously creates its own reusable skills from experience. And it's sandboxed like every Umbrel app so it can't touch anything it's not supposed to. 1-click install. Login with ChatGPT, use an OpenRouter/OpenAI/Anthropic API key, or point it to a local Ollama model running on the same Umbrel.

LFG! Nous Research's Hermes Agent is live on the Umbrel App Store! It's an AI agent that gets smarter the longer it runs, remembers stuff with persistent memory across sessions, learns your workflow, and autonomously creates its own reusable skills from experience. And it's sandboxed like every Umbrel app so it can't touch anything it's not supposed to. 1-click install. Login with ChatGPT, use an OpenRouter/OpenAI/Anthropic API key, or point it to a local Ollama model running on the same Umbrel.

Umbrel ☂️

29,882 görüntüleme • 5 ay önce

HERMES AGENT: 5 USEFUL COMMUNITY PLUGINS RIGHT NOW Hermes already ships with strong core features — Skills, MCP, Memory, Curator, and a plugin system. These extensions don’t replace anything in the core. They fill practical gaps. Here are the ones worth installing: 1. hermes-plugins by 42-evey Solid collection. Adds goal management, inter-agent communication, cost tracking, and easier model switching. Good for running Hermes autonomously. 2. web-search-plus Much stronger web search than the default. Supports multiple providers, smart routing, quality scoring, and a proper research mode. 3. super-hermes by Cranot Adds “Prisms” — structured analytical frameworks. Makes the agent noticeably better at deep analysis and catching its own blind spots. 4. Hermes Agent Self-Evolution (by Nous Research) Official companion that automatically improves skills and prompts using DSPy + GEPA. Useful if you want the agent to get better over time with minimal manual work. 5. Advanced Memory Providers When built-in memory isn’t enough for long projects, external providers give Hermes stronger long-term recall and context handling. All of these work cleanly on top of Hermes v0.16.0 without conflicting with core systems. Which plugins or extensions are you actually using with Hermes right now? Github links 👇

HERMES AGENT: 5 USEFUL COMMUNITY PLUGINS RIGHT NOW Hermes already ships with strong core features — Skills, MCP, Memory, Curator, and a plugin system. These extensions don’t replace anything in the core. They fill practical gaps. Here are the ones worth installing: 1. hermes-plugins by 42-evey Solid collection. Adds goal management, inter-agent communication, cost tracking, and easier model switching. Good for running Hermes autonomously. 2. web-search-plus Much stronger web search than the default. Supports multiple providers, smart routing, quality scoring, and a proper research mode. 3. super-hermes by Cranot Adds “Prisms” — structured analytical frameworks. Makes the agent noticeably better at deep analysis and catching its own blind spots. 4. Hermes Agent Self-Evolution (by Nous Research) Official companion that automatically improves skills and prompts using DSPy + GEPA. Useful if you want the agent to get better over time with minimal manual work. 5. Advanced Memory Providers When built-in memory isn’t enough for long projects, external providers give Hermes stronger long-term recall and context handling. All of these work cleanly on top of Hermes v0.16.0 without conflicting with core systems. Which plugins or extensions are you actually using with Hermes right now? Github links 👇

YanXbt

34,564 görüntüleme • 3 ay önce

Introducing Humalike x Hermes One command gives your Hermes agent social intelligence. It decides when to speak, adapts to your group's tone and remembers who said what.

Introducing Humalike x Hermes One command gives your Hermes agent social intelligence. It decides when to speak, adapts to your group's tone and remembers who said what.

Humalike

334,346 görüntüleme • 1 ay önce

You can now connect Hermes Agent directly to your browser as a side panel. It's called Hermes Browser Extension. It reads your active tab and sends the context straight into a live Hermes session. > Summarize, explain, or extract action items from any page > Connects to a local gateway, Hermes Cloud, or a self-hosted server > Works with Chrome, Edge, Brave, and other Chromium browsers > Full Hermes runtime: tools, skills, sessions, and memory included 100% Free. Open Source.

You can now connect Hermes Agent directly to your browser as a side panel. It's called Hermes Browser Extension. It reads your active tab and sends the context straight into a live Hermes session. > Summarize, explain, or extract action items from any page > Connects to a local gateway, Hermes Cloud, or a self-hosted server > Works with Chrome, Edge, Brave, and other Chromium browsers > Full Hermes runtime: tools, skills, sessions, and memory included 100% Free. Open Source.

Simplifying AI

43,761 görüntüleme • 2 ay önce

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.

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 görüntüleme • 4 ay önce

The Hermes Agent Creative Hackathon ends in 9 days Build a creative project with Hermes for a chance to win from the $26,000 prize pool sponsored by Kimi.ai! We asked Hermes Agent to generate 1000 ideas for you:

The Hermes Agent Creative Hackathon ends in 9 days Build a creative project with Hermes for a chance to win from the $26,000 prize pool sponsored by Kimi.ai! We asked Hermes Agent to generate 1000 ideas for you:

Nous Research

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