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Introducing Threejs Awesome Graphics Agent Skills npx threejs-awesome-graphics-agent-skills install --agent codex I collected some of the best looking graphic Three.js open source projects on X and distilled them into an agent skills pack, AAA game graphics right out of the box so anyone can create games that don't look... show more

Scott

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37,369 次观看 • 1 个月前 •via X (Twitter)

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Introducing My.AGNT I built a one-click OpenClaw agent — and it's free. The goal of My.AGNT is to make sure everyone can participate in the agent economy. All you have to do is sign up with your email, and you get your own personalized agent on OpenClaw with prebuilt skills: → Soul → Identity → Wallet → Full Grok X Search → Full Internet Search → All AI Agent MegaETH Skills → 8004 Registration via AGNT Coming soon: → Polymarket Skills → Abstract Chain AI Agent Skills → So much more Your agent, without all the hassle.

Introducing My.AGNT I built a one-click OpenClaw agent — and it's free. The goal of My.AGNT is to make sure everyone can participate in the agent economy. All you have to do is sign up with your email, and you get your own personalized agent on OpenClaw with prebuilt skills: → Soul → Identity → Wallet → Full Grok X Search → Full Internet Search → All AI Agent MegaETH Skills → 8004 Registration via AGNT Coming soon: → Polymarket Skills → Abstract Chain AI Agent Skills → So much more Your agent, without all the hassle.

tut™

39,394 次观看 • 3 个月前

🔗 Announcing LangChain OSS Skills LangChain has the most popular frameworks for building AI agents — and now your coding agent can be an expert in it. We're excited to release the first iteration of LangChain OSS Skills, giving your agent expertise in our open source frameworks. The skills include guidance on how to use langchain, langgraph, and deepagents to effectively build agents. ➡️ Install our OSS skills for your coding agent here: ➡️ Read more:

🔗 Announcing LangChain OSS Skills LangChain has the most popular frameworks for building AI agents — and now your coding agent can be an expert in it. We're excited to release the first iteration of LangChain OSS Skills, giving your agent expertise in our open source frameworks. The skills include guidance on how to use langchain, langgraph, and deepagents to effectively build agents. ➡️ Install our OSS skills for your coding agent here: ➡️ Read more:

LangChain OSS

65,840 次观看 • 4 个月前

Important new course: Agent Skills with Anthropic, built with Anthropic and taught by Elie Schoppik! Skills are constructed as folders of instructions that equip agents with on-demand knowledge and workflows. This short course teaches you how to create them following best practices. Because skills follow an open standard format, you can build them once and deploy across any skills-compatible agent, like Claude Code. What you'll learn: - Create custom skills for code generation and review, data analysis, and research - Build complex workflows using Anthropic's pre-built skills (Excel, PowerPoint, skill creation) and custom skills - Combine skills with MCP and subagents to create agentic systems with specialized knowledge - Deploy the same skills across Claude Code, the Claude API, and the Claude Agent SDK Join and learn to equip agents with the specialized knowledge they need for reliable, repeatable workflows.

Important new course: Agent Skills with Anthropic, built with Anthropic and taught by Elie Schoppik! Skills are constructed as folders of instructions that equip agents with on-demand knowledge and workflows. This short course teaches you how to create them following best practices. Because skills follow an open standard format, you can build them once and deploy across any skills-compatible agent, like Claude Code. What you'll learn: - Create custom skills for code generation and review, data analysis, and research - Build complex workflows using Anthropic's pre-built skills (Excel, PowerPoint, skill creation) and custom skills - Combine skills with MCP and subagents to create agentic systems with specialized knowledge - Deploy the same skills across Claude Code, the Claude API, and the Claude Agent SDK Join and learn to equip agents with the specialized knowledge they need for reliable, repeatable workflows.

Andrew Ng

887,894 次观看 • 5 个月前

This little device lets your agents do what they do best, whilst making sure you approve every important action. This is a Ledger Nano Gen5, a hardware signer that keeps your accounts secure. You can install a CLI and a set of skills in your projects. These will enable your agents to send their plan to the signer, so you can approve it. This is awesome: 1. You can have an automated agentic workflow 2. Your agents can't make costly mistakes Check the video I recorded to see how this works. You can run all of this in two commands: 1. Install the CLI 2. Install the skills for your agent From here, the agent can query my Ethereum accounts, check balances, and even initiate transactions as long as my Ledger Nano Gen5 is plugged into the computer. My keys are never stored in my computer and never shared with the agent. This is huge! Also, while the agent can set up transactions, it can't execute them unless a human approves them using the device. Pretty awesome! Thanks to the Ledger team for partnering with me on this post.

This little device lets your agents do what they do best, whilst making sure you approve every important action. This is a Ledger Nano Gen5, a hardware signer that keeps your accounts secure. You can install a CLI and a set of skills in your projects. These will enable your agents to send their plan to the signer, so you can approve it. This is awesome: 1. You can have an automated agentic workflow 2. Your agents can't make costly mistakes Check the video I recorded to see how this works. You can run all of this in two commands: 1. Install the CLI 2. Install the skills for your agent From here, the agent can query my Ethereum accounts, check balances, and even initiate transactions as long as my Ledger Nano Gen5 is plugged into the computer. My keys are never stored in my computer and never shared with the agent. This is huge! Also, while the agent can set up transactions, it can't execute them unless a human approves them using the device. Pretty awesome! Thanks to the Ledger team for partnering with me on this post.

Santiago

44,296 次观看 • 1 个月前

Coding agents that actually get better the more your team uses them. Introducing Hivemind: continual learning for AI coding agents. Hivemind turns the traces from every agent your team runs (Claude Code, Codex, Cursor, Hermes, OpenClaw, Pi) into reusable skills, then pushes those skills across all of them. All on your cloud storage. Now with SkillOpt built in, your skills get trained: +19.1 points of accuracy in Claude Code, +24.8 in Codex, best or tied on all 52 setups tested. Open source, one line install.

Coding agents that actually get better the more your team uses them. Introducing Hivemind: continual learning for AI coding agents. Hivemind turns the traces from every agent your team runs (Claude Code, Codex, Cursor, Hermes, OpenClaw, Pi) into reusable skills, then pushes those skills across all of them. All on your cloud storage. Now with SkillOpt built in, your skills get trained: +19.1 points of accuracy in Claude Code, +24.8 in Codex, best or tied on all 52 setups tested. Open source, one line install.

Davit

419,285 次观看 • 1 个月前

Frontier LLM models (especially Opus) are very good at finding vulnerabilities in codebases. With the right skills and a sub-agent architecture, they can outperform any traditional SAST tool. I collected the skills I use in this repository. Load them into any AI coding IDE such as Claude Code, Codex, Opencode etc. to find vulnerabilities in your code. You don’t need any third-party tools.

Frontier LLM models (especially Opus) are very good at finding vulnerabilities in codebases. With the right skills and a sub-agent architecture, they can outperform any traditional SAST tool. I collected the skills I use in this repository. Load them into any AI coding IDE such as Claude Code, Codex, Opencode etc. to find vulnerabilities in your code. You don’t need any third-party tools.

Utku Sen 🇬🇧

93,957 次观看 • 3 个月前

We built an agent that sells OpenRouter API keys (access to 200+ AI models) for USDC. No human in the loop. It earns money 24/7 on Base. Now we're turning that into a market where any agent can do the same. → openagent.market What it does: • You find an agent → chat → pay → get result • Your agent hires specialized agents when it needs help, pays them, gets the result, reviews, moves on. • Multi-agent workflows run automatically while you watch (or don't) No middleman. Pay only for results. Why not just install skills, scripts? Current way to extend an agent: install random scripts. That's risky. Our way: hire another agent. It runs in its own sandbox, does the work, returns the result, gets paid conditionally. No downloads. No setup. No blind trust. Hire, don't install. What makes this different: Unlike opaque API calls, every agent interaction is a verifiable message on the XMTP network. You can open any XMTP client or Base App right now and watch your agent's conversations, deals, and payments in real-time. Humans are always in the loop. For builders: Turn any service into a paid agent in ~10 lines of code. Or scaffold a full project: npx openagent.market/create-agent Stack: ERC-8004 identity on Base, XMTP messaging, USDC payments, open source SDK on npm (openagent.market/nodejs). Others give agents skills. We're giving them an economy. Still very early. Building in public. Come build with us.

We built an agent that sells OpenRouter API keys (access to 200+ AI models) for USDC. No human in the loop. It earns money 24/7 on Base. Now we're turning that into a market where any agent can do the same. → openagent.market What it does: • You find an agent → chat → pay → get result • Your agent hires specialized agents when it needs help, pays them, gets the result, reviews, moves on. • Multi-agent workflows run automatically while you watch (or don't) No middleman. Pay only for results. Why not just install skills, scripts? Current way to extend an agent: install random scripts. That's risky. Our way: hire another agent. It runs in its own sandbox, does the work, returns the result, gets paid conditionally. No downloads. No setup. No blind trust. Hire, don't install. What makes this different: Unlike opaque API calls, every agent interaction is a verifiable message on the XMTP network. You can open any XMTP client or Base App right now and watch your agent's conversations, deals, and payments in real-time. Humans are always in the loop. For builders: Turn any service into a paid agent in ~10 lines of code. Or scaffold a full project: npx openagent.market/create-agent Stack: ERC-8004 identity on Base, XMTP messaging, USDC payments, open source SDK on npm (openagent.market/nodejs). Others give agents skills. We're giving them an economy. Still very early. Building in public. Come build with us.

applefather

117,838 次观看 • 5 个月前

I built a Three.js game director skill system for Codex & Claude Code to help agents create more polished playable browser games. It guides gameplay loops, graphics, HUD/UI, debugging, QA, and optional Tripo🔜SIGGRAPH2026 ElevenLabs Nano Banana 2 Lite 3D/image/audio assets with API keys. Open source, get the skills in this thread 👇

I built a Three.js game director skill system for Codex & Claude Code to help agents create more polished playable browser games. It guides gameplay loops, graphics, HUD/UI, debugging, QA, and optional Tripo🔜SIGGRAPH2026 ElevenLabs Nano Banana 2 Lite 3D/image/audio assets with API keys. Open source, get the skills in this thread 👇

Majid Manzarpour

143,983 次观看 • 1 个月前

here's an awesome coding workflow i found: i was tired of giving claude/codex the right places to look in the docs and also tired of waiting for it to explore through shit ton of files to give me an answer.... consuming tons of tokens and time i ALSO dont want to have shit ton of unnecessary files. so, i use webpull with SMFS - i just pull an entire website into a 'docs' folder, and then let the agent figure things out. 90% of the times, it WILL one shot find the answer. and then i can unmount it/ bring it to my other projects with just one command BTW smfs will work with skills, docs, anything. wherever there's filesystem search, mount smfs, and watch your agent get much better 🔥

here's an awesome coding workflow i found: i was tired of giving claude/codex the right places to look in the docs and also tired of waiting for it to explore through shit ton of files to give me an answer.... consuming tons of tokens and time i ALSO dont want to have shit ton of unnecessary files. so, i use webpull with SMFS - i just pull an entire website into a 'docs' folder, and then let the agent figure things out. 90% of the times, it WILL one shot find the answer. and then i can unmount it/ bring it to my other projects with just one command BTW smfs will work with skills, docs, anything. wherever there's filesystem search, mount smfs, and watch your agent get much better 🔥

Dhravya Shah

13,828 次观看 • 2 个月前

Let’s install the Verified Identity Skill on our agent 𝘁𝗼 𝗯𝗲 𝗲𝗹𝗶𝗴𝗶𝗯𝗹𝗲 𝗳𝗼𝗿 𝘂𝗽𝗰𝗼𝗺𝗶𝗻𝗴 𝗙𝗔𝗜𝗔𝗥 𝗿𝗲𝘄𝗮𝗿𝗱𝘀 from Billions Network (Commands to install it are here with video tutorial) Remember, if you don’t do this and have only verified your agent, you 𝐰𝐨𝐧’𝐭 be eligible for FAIAR rewards Before this, as I made a post an hour ago, I’m assuming you all have: - verified your agent on Billions using Termux - not uninstalled or cleared data of that Termux - and if you uninstalled it earlier, you’ve verified a new agent and are ready to install the skill Let’s move ahead with the commands Command 1 - npx clawhub@latest install verified-agent-identity It will ask for your permission to install the latest clawhub version. Type "Y" and press enter Command 2 - once the previous download completes, run this command npx skills add BillionsNetwork/verified-agent-identity Type "Y" and enter again. I’ve attached a video tutorial for the remaining steps, as it’s difficult to explain in text That’s it, congratulations, you have successfully installed the Verified Identity Skill on your agent gBillions 💙

Let’s install the Verified Identity Skill on our agent 𝘁𝗼 𝗯𝗲 𝗲𝗹𝗶𝗴𝗶𝗯𝗹𝗲 𝗳𝗼𝗿 𝘂𝗽𝗰𝗼𝗺𝗶𝗻𝗴 𝗙𝗔𝗜𝗔𝗥 𝗿𝗲𝘄𝗮𝗿𝗱𝘀 from Billions Network (Commands to install it are here with video tutorial) Remember, if you don’t do this and have only verified your agent, you 𝐰𝐨𝐧’𝐭 be eligible for FAIAR rewards Before this, as I made a post an hour ago, I’m assuming you all have: - verified your agent on Billions using Termux - not uninstalled or cleared data of that Termux - and if you uninstalled it earlier, you’ve verified a new agent and are ready to install the skill Let’s move ahead with the commands Command 1 - npx clawhub@latest install verified-agent-identity It will ask for your permission to install the latest clawhub version. Type "Y" and press enter Command 2 - once the previous download completes, run this command npx skills add BillionsNetwork/verified-agent-identity Type "Y" and enter again. I’ve attached a video tutorial for the remaining steps, as it’s difficult to explain in text That’s it, congratulations, you have successfully installed the Verified Identity Skill on your agent gBillions 💙

Sam

169,978 次观看 • 2 个月前

GitHub + Cursor is just INSANE GitHub has 28 million open-source projects that anyone can fork and build a new product So I built a new product: Repo to Docs The Agent will scan entire GitHub repo, analyze all files and create a knowledge base (docs) for AI coding tools: ↓

GitHub + Cursor is just INSANE GitHub has 28 million open-source projects that anyone can fork and build a new product So I built a new product: Repo to Docs The Agent will scan entire GitHub repo, analyze all files and create a knowledge base (docs) for AI coding tools: ↓

CJ Zafir

123,772 次观看 • 1 年前

Start building for an agent-first world. If you have a product, you need to start offering skills for Claude, Codex, Cursor, and any other agents. Your skills should specify: • How to navigate and use your product • Best practices the agent must follow • Detailed instructions on how to accomplish things • Anti-patterns to avoid Redis is one of the most popular in-memory data stores in the world, and they just released their agent skills. It takes one second to install, and it will turn your agent into a Senior Redis Engineer: $ npx skills add redis/agent-skills In the attached video, I show you how to install it as a plugin in Claude Code and some of its benefits. This is the easiest way to "teach" models what they don't know and keep their knowledge up to date. If you ask me, skills is literally one of the most brilliant ideas that Anthropic has put out there. If you use Redis, their skill is a must-have. If you don't, this skill will show you how to build and structure yours. Here is what their skill teaches your agent: 1. Current patterns for common use cases: caching, rate limiting, session management, vector search, semantic caching, pub/sub, streams. 2. Which data structure to use and when: hashes vs. JSON vs. sorted sets vs. vector sets. 3. Anti-patterns to avoid: no KEYS in loops, no unbounded key growth, no large values that amplify every operation. 4. Production-aware defaults: connection pooling, pipelining, cluster compatibility, error handling that doesn't silently swallow failures.

Start building for an agent-first world. If you have a product, you need to start offering skills for Claude, Codex, Cursor, and any other agents. Your skills should specify: • How to navigate and use your product • Best practices the agent must follow • Detailed instructions on how to accomplish things • Anti-patterns to avoid Redis is one of the most popular in-memory data stores in the world, and they just released their agent skills. It takes one second to install, and it will turn your agent into a Senior Redis Engineer: $ npx skills add redis/agent-skills In the attached video, I show you how to install it as a plugin in Claude Code and some of its benefits. This is the easiest way to "teach" models what they don't know and keep their knowledge up to date. If you ask me, skills is literally one of the most brilliant ideas that Anthropic has put out there. If you use Redis, their skill is a must-have. If you don't, this skill will show you how to build and structure yours. Here is what their skill teaches your agent: 1. Current patterns for common use cases: caching, rate limiting, session management, vector search, semantic caching, pub/sub, streams. 2. Which data structure to use and when: hashes vs. JSON vs. sorted sets vs. vector sets. 3. Anti-patterns to avoid: no KEYS in loops, no unbounded key growth, no large values that amplify every operation. 4. Production-aware defaults: connection pooling, pipelining, cluster compatibility, error handling that doesn't silently swallow failures.

Santiago

37,546 次观看 • 4 个月前

You can create an AI Agent that answers your email with a few clicks. 1. Go to ChatLLM ( 2. Click on AI Engineer 3. Select Create an AI Agent 4. Choose the Email Answering Agent ChatLLM will do the rest: it will code, test, and deploy the agent for you. You can also create a custom agent in English. The Agent Economy is coming (somebody should write a book and use this title.) We are going to see examples like this, times 1,000 in 2025. Just think about how many repetitive tasks you perform every day. Some of these tasks are involved enough that we couldn't automate them with pre-AI solutions. That's where we'll see agents explode, and I'm here for it.

You can create an AI Agent that answers your email with a few clicks. 1. Go to ChatLLM ( 2. Click on AI Engineer 3. Select Create an AI Agent 4. Choose the Email Answering Agent ChatLLM will do the rest: it will code, test, and deploy the agent for you. You can also create a custom agent in English. The Agent Economy is coming (somebody should write a book and use this title.) We are going to see examples like this, times 1,000 in 2025. Just think about how many repetitive tasks you perform every day. Some of these tasks are involved enough that we couldn't automate them with pre-AI solutions. That's where we'll see agents explode, and I'm here for it.

Santiago

79,974 次观看 • 1 年前

Introducing the context course: a free course on doing ML with agent context. You will learn how to train models, optimize inferences, and build datasets, all by defining harness context with`SKILLS.md`, Plugins, MCP, Subagents, and Hooks. The course includes: - Weekly live AMA on YouTube - Weekly practical projects for ML with context - Instructions in Pi, Codex, Claude, and Opencode - Tutorials and guides on fundamentals - Interactive Quizzes Learn to give AI agents the right knowledge, tools, and structure to actually get work done. Skills, MCP servers, plugins, multi-agent workflows, and building an agent from scratch. Join here:

Introducing the context course: a free course on doing ML with agent context. You will learn how to train models, optimize inferences, and build datasets, all by defining harness context with`SKILLS.md`, Plugins, MCP, Subagents, and Hooks. The course includes: - Weekly live AMA on YouTube - Weekly practical projects for ML with context - Instructions in Pi, Codex, Claude, and Opencode - Tutorials and guides on fundamentals - Interactive Quizzes Learn to give AI agents the right knowledge, tools, and structure to actually get work done. Skills, MCP servers, plugins, multi-agent workflows, and building an agent from scratch. Join here:

Ben Burtenshaw

16,905 次观看 • 2 个月前

Two highly requested features just landed in Stitch! You can now generate custom images like logos right on the canvas and copy screens across projects. ✨ Native Image Generation: Create custom logos or hero graphics, and ask the agent to drop them directly into your UI. ✨ Copy & Paste Across Projects: Grab that perfect screen you made last week and paste it into a new project. Perfect for combining styles and merging content. Your vibe design partner just leveled up. Let’s build! 👇

Two highly requested features just landed in Stitch! You can now generate custom images like logos right on the canvas and copy screens across projects. ✨ Native Image Generation: Create custom logos or hero graphics, and ask the agent to drop them directly into your UI. ✨ Copy & Paste Across Projects: Grab that perfect screen you made last week and paste it into a new project. Perfect for combining styles and merging content. Your vibe design partner just leveled up. Let’s build! 👇

Stitch by Google

56,652 次观看 • 3 个月前

I love working in terminal, but I can't design or brainstorm in there. So I built Hatch! One IDE for the full loop: explore ideas → test out designs with SuperDesign.Dev → find right skills for the job → ship with agents. > build: supports Claude code, OpenCode and Cursor agents in parallel with worktrees. > idea maze: use the canvas to sketch out ideas, paste tweets or images. > idea maze: let your agent make connections, critique your ideas or come up with related ones. > design: bring SuperDesign.Dev prompts or exports directly into your workspaces. vibedesign before vibecoding. > skills: ask your agent what skills to get with your workspace context. All open source!

I love working in terminal, but I can't design or brainstorm in there. So I built Hatch! One IDE for the full loop: explore ideas → test out designs with SuperDesign.Dev → find right skills for the job → ship with agents. > build: supports Claude code, OpenCode and Cursor agents in parallel with worktrees. > idea maze: use the canvas to sketch out ideas, paste tweets or images. > idea maze: let your agent make connections, critique your ideas or come up with related ones. > design: bring SuperDesign.Dev prompts or exports directly into your workspaces. vibedesign before vibecoding. > skills: ask your agent what skills to get with your workspace context. All open source!

Firat Sertgoz

38,578 次观看 • 6 个月前

New course: Nvidia's NeMo Agent Toolkit: Making Agents Reliable, taught by Brian McBrayer 🐬 from NVIDIA. Many teams struggle to turn agent demos into reliable systems that are ready for production. This short course teaches you to harden agentic workflows into reliable systems using Nvidia's open-source NeMo Agent Toolkit (NAT). Whether you built your agent in raw Python or using a framework like LangGraph, or CrewAI, NAT provides building blocks for observability, evaluation, and deployment that turn proofs-of-concept into production-ready systems. NAT makes it easy to troubleshoot and optimize agent performance with execution traces, systematic evaluations, and CI/CD integration. Skills you'll gain: - Build configuration-driven agent workflows with REST APIs and minimal code - Add observability with tracing to visualize agent reasoning and debug performance bottlenecks - Create systematic evaluations using gold-standard datasets to measure and improve agent reliability - Deploy multi-agent systems with authentication, rate limiting, and professional web interfaces - Orchestrate agents from different frameworks to collaborate on complex tasks Join and learn how to turn agent demos into reliable systems!

New course: Nvidia's NeMo Agent Toolkit: Making Agents Reliable, taught by Brian McBrayer 🐬 from NVIDIA. Many teams struggle to turn agent demos into reliable systems that are ready for production. This short course teaches you to harden agentic workflows into reliable systems using Nvidia's open-source NeMo Agent Toolkit (NAT). Whether you built your agent in raw Python or using a framework like LangGraph, or CrewAI, NAT provides building blocks for observability, evaluation, and deployment that turn proofs-of-concept into production-ready systems. NAT makes it easy to troubleshoot and optimize agent performance with execution traces, systematic evaluations, and CI/CD integration. Skills you'll gain: - Build configuration-driven agent workflows with REST APIs and minimal code - Add observability with tracing to visualize agent reasoning and debug performance bottlenecks - Create systematic evaluations using gold-standard datasets to measure and improve agent reliability - Deploy multi-agent systems with authentication, rate limiting, and professional web interfaces - Orchestrate agents from different frameworks to collaborate on complex tasks Join and learn how to turn agent demos into reliable systems!

Andrew Ng

63,773 次观看 • 7 个月前

Hermes agent just left the terminal. 𝗛𝗲𝗿𝗺𝗲𝘀 𝗗𝗲𝘀𝗸𝘁𝗼𝗽 dropped yesterday. native app for macOS, Windows, and Linux. for months Hermes was the agent that learned your projects, wrote its own skills, and built a model of who you are. all of it buried in terminal logs. now it has a window. the important part is that it's not a wrapper. it runs the same agent core, the same sessions, memory, and skills as the CLI. you can start a task in the terminal and finish it in the app without anything resetting. the state is shared across every interface, not copied between them. what the GUI actually adds: → streaming chat that shows live tool calls and inline reasoning instead of a spinner → a preview rail that renders pages, code, and images right beside the conversation → an artifacts panel that collects every file the agent has ever produced → remote gateway mode, so you can point the app at a VPS and run the heavy work elsewhere → skills, cron, profiles, and gateways managed point-and-click instead of through YAML → voice mode, drag-drop files, and inline image generation remote gateway mode is the one worth slowing down on. the agent runs 24/7 on a $5 server while you control it from your laptop like a local app. other agent UIs are chatboxes with a logo. this one shows the autonomy instead of hiding it, so you watch the skills load, the tools fire, and the artifacts pile up as it works. it was teased in Jensen's GTC keynote. MIT licensed, local-first, no telemetry. if you already run Hermes, download it and everything is already there. your chats, memory, and skills carry straight over. i wrote a full masterclass on Hermes Agent that walks through the SOUL. md identity layer, the three-tier memory system, the self-evolving skills loop, and how to run three specialized agents 24/7. desktop is the interface that finally does all of it justice. the article is quoted below.

Akshay 🚀

51,370 次观看 • 1 个月前

Introducing Mint MCP - It turns your coding agent into a 3D engine! ✅ Create Threejs apps and games ✅ Generate 3D models ✅ Rig and animate models ✅ Generate Gaussian Splat worlds ✅ Generate PBR materials ✅ Generate themed Asset packs ✅ Generate audio / sfx ✅ Retopologize 3D models ✅ Convert 3D models to any popular format All the scenes in this demo were created with 5.6 + Mint Mcp + Mint Threejs Skills (links below)

Introducing Mint MCP - It turns your coding agent into a 3D engine! ✅ Create Threejs apps and games ✅ Generate 3D models ✅ Rig and animate models ✅ Generate Gaussian Splat worlds ✅ Generate PBR materials ✅ Generate themed Asset packs ✅ Generate audio / sfx ✅ Retopologize 3D models ✅ Convert 3D models to any popular format All the scenes in this demo were created with 5.6 + Mint Mcp + Mint Threejs Skills (links below)

tamrat

57,709 次观看 • 9 天前