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This is pure gold for anyone using Hermes Agent. 10 GitHub skills + tools that make Hermes instantly more useful. Pick the tools for each bottleneck: research, writing, web reading, PDFs, coding, security, memory, and design. 01 Agent Reach → research YouTube, X, Reddit, GitHub, and the web 02...

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Brandon Chin

218,994 subscribers

67,178 görüntüleme • 26 gün önce •via X (Twitter)

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21 Yorum

Milian profil fotoğrafı
Milian26 gün önce

Check out Umanitek's security plugin, was just added to Hermes.

ʟɪsᴀ profil fotoğrafı
ʟɪsᴀ26 gün önce

Me adding more skills to Hermes

BentoBoi profil fotoğrafı
BentoBoi26 gün önce

Beefing up Hermes into a beast!

ʟɪsᴀ profil fotoğrafı
ʟɪsᴀ26 gün önce

It’s fun

Harley Lewis Foote profil fotoğrafı
Harley Lewis Foote25 gün önce

Most people only ever need two of those ten, the rest is config you'll never touch.

BentoBoi profil fotoğrafı
BentoBoi25 gün önce

What 2

swapcherry profil fotoğrafı
swapcherry25 gün önce

caveman one is real

BentoBoi profil fotoğrafı
BentoBoi25 gün önce

I like caveman

Hermes Agent Super-Intel profil fotoğrafı
Hermes Agent Super-Intel26 gün önce

Great stack for Hermes bottlenecks. Defuddle plus a codebase-memory MCP looks like the combo that stops agents re-reading the same pages on long runs. Which of the 10 do you leave on by default?

BentoBoi profil fotoğrafı
BentoBoi26 gün önce

Like all of them esp the coding ones and agent reach

Haley profil fotoğrafı
Haley26 gün önce

Hundreds of hours testing down to these 10 is careful work

BentoBoi profil fotoğrafı
BentoBoi26 gün önce

I like these 10

ben profil fotoğrafı
ben25 gün önce

W graphic

BentoBoi profil fotoğrafı
BentoBoi25 gün önce

W Ben

Ted | unfair.so profil fotoğrafı
Ted | unfair.so26 gün önce

great thing you can do that all in one place called tiny fish

逸风·666 | 🎒 profil fotoğrafı
逸风·666 | 🎒25 gün önce

Humanizer and Defuddle alone save so much friction

BentoBoi profil fotoğrafı
BentoBoi25 gün önce

Yea I use humaizer a good amt

Âxel ⟢ profil fotoğrafı
Âxel ⟢25 gün önce

Pure gold

BentoBoi profil fotoğrafı
BentoBoi25 gün önce

My g

Bren Luengo ♥ Cool Guides profil fotoğrafı
Bren Luengo ♥ Cool Guides25 gün önce

Caveman and Defuddle are the two I'd install first, everything else is situational.

lost_user profil fotoğrafı
lost_user25 gün önce

do i need A $5000 pc for this to run

Benzer Videolar

Opus 5.5 makes this AI stack look f…cking illegal 10 GitHub repos for building everything around the model 01 zen-mcp-server ▸ → your agent debates Gemini, GPT and local models mid-task 02 claude-context ▸ → semantic code search so the agent stops grepping blind 03 wshobson/agents ▸ → a roster of subagents, each with one narrow job 04 mcp-agent ▸ → workflow patterns built around MCP tools, not around chat 05 Backlog.md ▸ → tasks live in git, so the agent and you read the same board 06 Claude Code Development Kit ▸ → hooks, subagents and MCP wired for context at scale 07 agent-rules ▸ → shared guardrails the agent inherits in every repo 08 Agent Skills ▸ → one file that teaches the agent a job, portable across tools 09 agent-scan ▸ → scans your agents, MCP servers and skills for what leaks 10 awesome-claude-code-toolkit ▸ → the map: agents, skills, commands, hooks, MCP configs the architecture: rules → context → subagents → tools → state → review → scan I'd split the stack like this: context: claude-context → Development Kit work: wshobson/agents → mcp-agent → zen-mcp-server state: Backlog.md safety: agent-rules → Agent Skills → agent-scan everyone posts the SDK and the CLI the layer that decides whether your agent survives a week is this one the model is one folder in the stack ⭣
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Opus 5.5 makes this AI stack look f…cking illegal 10 GitHub repos for building everything around the model 01 zen-mcp-server ▸ → your agent debates Gemini, GPT and local models mid-task 02 claude-context ▸ → semantic code search so the agent stops grepping blind 03 wshobson/agents ▸ → a roster of subagents, each with one narrow job 04 mcp-agent ▸ → workflow patterns built around MCP tools, not around chat 05 Backlog.md ▸ → tasks live in git, so the agent and you read the same board 06 Claude Code Development Kit ▸ → hooks, subagents and MCP wired for context at scale 07 agent-rules ▸ → shared guardrails the agent inherits in every repo 08 Agent Skills ▸ → one file that teaches the agent a job, portable across tools 09 agent-scan ▸ → scans your agents, MCP servers and skills for what leaks 10 awesome-claude-code-toolkit ▸ → the map: agents, skills, commands, hooks, MCP configs the architecture: rules → context → subagents → tools → state → review → scan I'd split the stack like this: context: claude-context → Development Kit work: wshobson/agents → mcp-agent → zen-mcp-server state: Backlog.md safety: agent-rules → Agent Skills → agent-scan everyone posts the SDK and the CLI the layer that decides whether your agent survives a week is this one the model is one folder in the stack ⭣

rody

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I wish I found this sooner. 🫡 This open-source collection of Agentic UI Skills teaches AI coding agents how to build interfaces that feel polished, not just functional. You'll find specialized skills for things like: → Better User Interface → Better Typography → Better Colors → Better Layout → Better Accessibility ....& more Instead of relying on generic UI patterns, your AI agent can load the right design-engineering skill for the task at hand. If you're building modern frontends with AI coding agents, this is definitely worth bookmarking :) Source 🔗: github(DOT)com/jakubkrehel/skills Follow me for more amazing AI, Coding & Web Dev insights 💎
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I wish I found this sooner. 🫡 This open-source collection of Agentic UI Skills teaches AI coding agents how to build interfaces that feel polished, not just functional. You'll find specialized skills for things like: → Better User Interface → Better Typography → Better Colors → Better Layout → Better Accessibility ....& more Instead of relying on generic UI patterns, your AI agent can load the right design-engineering skill for the task at hand. If you're building modern frontends with AI coding agents, this is definitely worth bookmarking :) Source 🔗: github(DOT)com/jakubkrehel/skills Follow me for more amazing AI, Coding & Web Dev insights 💎

Ram Maheshwari

15,385 görüntüleme • 3 ay önce

The Hermes Desktop App Changes Everything (Full Setup): 00:00 Hermes Desktop changes the game 01:18 What Hermes Desktop actually is 02:33 Installing Hermes Desktop 03:48 Connecting a model provider 04:38 Adding API keys 05:02 Gateway setup 06:30 Telegram bot setup 08:29 Testing Hermes on Telegram 09:16 Skills, tools, and memory 10:10 Artifacts and files 10:47 Profiles and specialized agents 12:10 Why this matters
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The Hermes Desktop App Changes Everything (Full Setup): 00:00 Hermes Desktop changes the game 01:18 What Hermes Desktop actually is 02:33 Installing Hermes Desktop 03:48 Connecting a model provider 04:38 Adding API keys 05:02 Gateway setup 06:30 Telegram bot setup 08:29 Testing Hermes on Telegram 09:16 Skills, tools, and memory 10:10 Artifacts and files 10:47 Profiles and specialized agents 12:10 Why this matters

Sharbel

36,765 görüntüleme • 5 ay önce

Big one for the Hermes Agent community. TinyFish is now a plugin in the Nous Research Hermes Agent. Your Hermes agent gets free Search and Fetch, so it can find and read the live web at $0. When a task needs real clicks, TinyFish Browser and Web Agent are one approval away.
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Big one for the Hermes Agent community. TinyFish is now a plugin in the Nous Research Hermes Agent. Your Hermes agent gets free Search and Fetch, so it can find and read the live web at $0. When a task needs real clicks, TinyFish Browser and Web Agent are one approval away.

TinyFish

48,692 görüntüleme • 1 ay önce

IBM engineers just released a 40-minute deep dive into “Agent Engineering” for building production-ready AI agents “80% of building an AI agent has nothing to do with the model. It is frameworks, tools, skills and risk controls.” 00:00 - the 5 core concepts behind every AI agent 11:07 - choosing frameworks for tools, memory and orchestration 23:01 - when agents need MCP, skills or both 31:04 - designing AI architecture around real production risk The core stack: Agent → Framework → MCP → Skills → Risk → Production This 40-minute workshop will teach you more about production AI agents than most $500 Agent Engineering courses. Watch it today, then read the full agent engineering playbook in the article below ↓
37:51

IBM engineers just released a 40-minute deep dive into “Agent Engineering” for building production-ready AI agents “80% of building an AI agent has nothing to do with the model. It is frameworks, tools, skills and risk controls.” 00:00 - the 5 core concepts behind every AI agent 11:07 - choosing frameworks for tools, memory and orchestration 23:01 - when agents need MCP, skills or both 31:04 - designing AI architecture around real production risk The core stack: Agent → Framework → MCP → Skills → Risk → Production This 40-minute workshop will teach you more about production AI agents than most $500 Agent Engineering courses. Watch it today, then read the full agent engineering playbook in the article below ↓

Morlex

14,597 görüntüleme • 3 ay önce

🚀 Hermes Browser Automation Guide (FREE) Use your own browser with Hermes Agent for web automation—no complicated setup. 1. Get an NVIDIA API key (skip if you already have one) 🔗 2. Install Kimi WebBridge 🔗 3. Install the skills bundle Windows iex (irm | Out-String) macOS / Linux curl -fsSL | bash 4. Restart Hermes Close the app completely and reopen it. 5. Configure memory In Hermes, type: Set up my memory 6. (Optional) Explore your new skills Type: "Tell me about the skills you just set up and what they do" ⭐ GitHub: (a star would be appreciated) If you run into any issues, check out the video below or leave a comment. 💡 Pro Tip Use: /interactive-prompt-analyzer + /deep-web-research + your prompt It analyses your prompt, searches the web, and produces a significantly more detailed, research-backed prompt—great for content creation, coding, and research.
2:56

🚀 Hermes Browser Automation Guide (FREE) Use your own browser with Hermes Agent for web automation—no complicated setup. 1. Get an NVIDIA API key (skip if you already have one) 🔗 2. Install Kimi WebBridge 🔗 3. Install the skills bundle Windows iex (irm | Out-String) macOS / Linux curl -fsSL | bash 4. Restart Hermes Close the app completely and reopen it. 5. Configure memory In Hermes, type: Set up my memory 6. (Optional) Explore your new skills Type: "Tell me about the skills you just set up and what they do" ⭐ GitHub: (a star would be appreciated) If you run into any issues, check out the video below or leave a comment. 💡 Pro Tip Use: /interactive-prompt-analyzer + /deep-web-research + your prompt It analyses your prompt, searches the web, and produces a significantly more detailed, research-backed prompt—great for content creation, coding, and research.

Sloemo

19,175 görüntüleme • 3 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 👇
0:23

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

34,958 görüntüleme • 5 ay önce

Finally, a proper chat UI for Hermes Agent (open-source)! Hermes ships an official dashboard, but it's primarily built for management, and its chat is just a terminal piped into a browser tab. Hermes Web UI is an open-source chat-first alternative. It's self-hosted and points at your existing ~/.hermes state, so there's nothing new to configure. - It's a native web chat, not a terminal in a tab - Sessions group by date with a context ring - Kanban renders the agent's task board - Spaces manages your workspaces - Skills panel lists the full catalog - Tasks panel shows cron jobs - Insights show usage and activity - Memory shows MEMORY and SOUL files - Logs tails the agent, gateway, and error logs The whole setup runs 100% locally, binds to localhost by default, and you reach it over an SSH tunnel or Tailscale from your phone. I have shared the Hermes Web UI GitHub repo in the replies. Do note that it's a community project, not official, so expect occasional rough edges (concurrent profile runs are blocked for now). To dive deeper into Hermes Agent, my co-founder wrote a full masterclass about it, covering the learning loop, the memory tiers, self-evolving skills, GEPA, and running multiple isolated agents. Read it below.
0:23

Finally, a proper chat UI for Hermes Agent (open-source)! Hermes ships an official dashboard, but it's primarily built for management, and its chat is just a terminal piped into a browser tab. Hermes Web UI is an open-source chat-first alternative. It's self-hosted and points at your existing ~/.hermes state, so there's nothing new to configure. - It's a native web chat, not a terminal in a tab - Sessions group by date with a context ring - Kanban renders the agent's task board - Spaces manages your workspaces - Skills panel lists the full catalog - Tasks panel shows cron jobs - Insights show usage and activity - Memory shows MEMORY and SOUL files - Logs tails the agent, gateway, and error logs The whole setup runs 100% locally, binds to localhost by default, and you reach it over an SSH tunnel or Tailscale from your phone. I have shared the Hermes Web UI GitHub repo in the replies. Do note that it's a community project, not official, so expect occasional rough edges (concurrent profile runs are blocked for now). To dive deeper into Hermes Agent, my co-founder wrote a full masterclass about it, covering the learning loop, the memory tiers, self-evolving skills, GEPA, and running multiple isolated agents. Read it below.

Avi Chawla

78,258 görüntüleme • 5 ay önce

Andrew Ng just released a 2-hour course On building agentic skills from scratch with Anthropic: 00:00 - How to build agent skills with Claude 22:32 - Claude pre-built skills for AI agents 41:07 - Agentic skills vs tools, MCP, and subagents 01:06:06 - Skills for long-running agents This 2-hour watch can replace 10 paid courses on building agents Taught with Anthropic themselves Bookmark and watch it tonight Then read the article below
1:50:27

Andrew Ng just released a 2-hour course On building agentic skills from scratch with Anthropic: 00:00 - How to build agent skills with Claude 22:32 - Claude pre-built skills for AI agents 41:07 - Agentic skills vs tools, MCP, and subagents 01:06:06 - Skills for long-running agents This 2-hour watch can replace 10 paid courses on building agents Taught with Anthropic themselves Bookmark and watch it tonight Then read the article below

rari🈀

104,869 görüntüleme • 3 ay önce

My Hermes Agent has a newspaper for me now. 🗞️🚀 The Hermes Agent Times: four pages covering my day, my agents’ work, ideas worth exploring, and life beyond the screen. 🚀Next: a morning printout and an Obsidian archive connecting each day’s ideas. Would you read a newspaper made by your own agent? # Give below prompt to your Hermes agent👇 Teknium 🪽 Nous Research
0:38

My Hermes Agent has a newspaper for me now. 🗞️🚀 The Hermes Agent Times: four pages covering my day, my agents’ work, ideas worth exploring, and life beyond the screen. 🚀Next: a morning printout and an Obsidian archive connecting each day’s ideas. Would you read a newspaper made by your own agent? # Give below prompt to your Hermes agent👇 Teknium 🪽 Nous Research

Hermes Agent Super-Intel

46,378 görüntüleme • 2 ay önce

this is where GPT-6 Astra is getting f...cking illegal 10 open-source GitHub repos I'd use to build the system around the model 01 PydanticAI ▸ → typed agents + structured outputs 02 LangGraph ▸ → state + long-running agent workflows BUILD THE AGENTS 03 Agno ▸ → agents + teams + workflows 04 smolagents ▸ → agents that execute through code GIVE THEM MEMORY 05 Mem0 ▸ → persistent agent memory 06 Graphiti ▸ → temporal knowledge graphs GIVE THEM A RUNTIME 07 E2B ▸ → isolated sandboxes for AI-generated code 08 Daytona ▸ → infrastructure for running agent workloads TEST EVERYTHING 09 DeepEval ▸ → evals for LLM systems 10 Langfuse ▸ → traces + evals + production monitoring the flow: request → agent → memory → tools → runtime → eval → retry → deploy that's the part people underestimate the model is one folder the system around it is the product ⭣
0:22

this is where GPT-6 Astra is getting f...cking illegal 10 open-source GitHub repos I'd use to build the system around the model 01 PydanticAI ▸ → typed agents + structured outputs 02 LangGraph ▸ → state + long-running agent workflows BUILD THE AGENTS 03 Agno ▸ → agents + teams + workflows 04 smolagents ▸ → agents that execute through code GIVE THEM MEMORY 05 Mem0 ▸ → persistent agent memory 06 Graphiti ▸ → temporal knowledge graphs GIVE THEM A RUNTIME 07 E2B ▸ → isolated sandboxes for AI-generated code 08 Daytona ▸ → infrastructure for running agent workloads TEST EVERYTHING 09 DeepEval ▸ → evals for LLM systems 10 Langfuse ▸ → traces + evals + production monitoring the flow: request → agent → memory → tools → runtime → eval → retry → deploy that's the part people underestimate the model is one folder the system around it is the product ⭣

Lummox

43,873 görüntüleme • 1 ay önce

WTF Broooooooooooooooooo... this is HEAVEN for anyone using AI to build UIs. 🤯 It's a massive collection of agentic UI skills that help AI coding agents build better-looking, more polished interfaces. You can explore skills across different categories like colors, architecture, design systems, frontend development, and much more. Let's be honest... AI can generate some serious UI slop by default. But with the right skills and a little design knowledge, you can turn that slop into an absolute MASTERPIECE. 🔥 If you're a developer, designer, or vibe-coder, you NEED to bookmark this :) Follow me for more amazing AI, Coding & Web Dev insights 💎
0:21

WTF Broooooooooooooooooo... this is HEAVEN for anyone using AI to build UIs. 🤯 It's a massive collection of agentic UI skills that help AI coding agents build better-looking, more polished interfaces. You can explore skills across different categories like colors, architecture, design systems, frontend development, and much more. Let's be honest... AI can generate some serious UI slop by default. But with the right skills and a little design knowledge, you can turn that slop into an absolute MASTERPIECE. 🔥 If you're a developer, designer, or vibe-coder, you NEED to bookmark this :) Follow me for more amazing AI, Coding & Web Dev insights 💎

Ram Maheshwari

26,089 görüntüleme • 17 gün önce

ABSOLUTE F*CKING GOLDMINE AND EVERY ONE FREE Claude Code Pro costs $20 a month. antigravity alone lists 2,750+ installable skills in its catalog, VoltAgent holds 161+ ready subagents across 10 categories, and none charges you extra 10 GitHub repos that staff your Claude Code session: 01 anthropics/skills → Anthropic's own SKILL.md reference folders for Claude Code. shows the canonical format so every custom skill you write loads on the first try 02 awesome-claude-code-subagents → VoltAgent's collection of 161+ ready subagents across 10 categories. copy a reviewer, debugger or architect instead of writing the role prompt yourself 03 claude-skills → ships 398 production-ready skills and plugins for 13 AI coding tools. one install replaces hunting across dozens of repos 04 claude-code-templates → ready configs for agents, commands, hooks and MCP servers. starts a new project with a working .claude folder instead of a blank directory 05 awesome-claude-code → curated index of skills, hooks, plugins and developer tooling. finds the vetted piece without scrolling through GitHub search results 06 ui-ux-pro-max-skill → design intelligence skill for building professional layouts across platforms. gets sane palettes and spacing without a separate designer pass on every screen 07 planning-with-files → persistent file-based plans that survive long sessions and context resets. stops the agent from losing the map when memory clears mid-task 08 marketingskills → marketing-focused skills covering copy, SEO and launch checklists. fills the prompt gap when a codebase agent has to write a landing page 09 vercel-labs/skills → the CLI for the open agent skills ecosystem. one command pulls any published skill into Claude Code, no manual file copying 10 antigravity-awesome-skills → catalogs 2,750+ installable SKILL.md playbooks with a local search engine. searches and previews a plan before the agent touches your codebase pick one recurring task that drains your time every week. install the skill for it, run it once and read what the agent actually did before you schedule the next one source → vet → install → staff → ship every skill runs with your plan's usage and permissions, and community packs are not audited by Anthropic. read a SKILL.md before installing save this and check the full breakdown below ↓
0:24

ABSOLUTE F*CKING GOLDMINE AND EVERY ONE FREE Claude Code Pro costs $20 a month. antigravity alone lists 2,750+ installable skills in its catalog, VoltAgent holds 161+ ready subagents across 10 categories, and none charges you extra 10 GitHub repos that staff your Claude Code session: 01 anthropics/skills → Anthropic's own SKILL.md reference folders for Claude Code. shows the canonical format so every custom skill you write loads on the first try 02 awesome-claude-code-subagents → VoltAgent's collection of 161+ ready subagents across 10 categories. copy a reviewer, debugger or architect instead of writing the role prompt yourself 03 claude-skills → ships 398 production-ready skills and plugins for 13 AI coding tools. one install replaces hunting across dozens of repos 04 claude-code-templates → ready configs for agents, commands, hooks and MCP servers. starts a new project with a working .claude folder instead of a blank directory 05 awesome-claude-code → curated index of skills, hooks, plugins and developer tooling. finds the vetted piece without scrolling through GitHub search results 06 ui-ux-pro-max-skill → design intelligence skill for building professional layouts across platforms. gets sane palettes and spacing without a separate designer pass on every screen 07 planning-with-files → persistent file-based plans that survive long sessions and context resets. stops the agent from losing the map when memory clears mid-task 08 marketingskills → marketing-focused skills covering copy, SEO and launch checklists. fills the prompt gap when a codebase agent has to write a landing page 09 vercel-labs/skills → the CLI for the open agent skills ecosystem. one command pulls any published skill into Claude Code, no manual file copying 10 antigravity-awesome-skills → catalogs 2,750+ installable SKILL.md playbooks with a local search engine. searches and previews a plan before the agent touches your codebase pick one recurring task that drains your time every week. install the skill for it, run it once and read what the agent actually did before you schedule the next one source → vet → install → staff → ship every skill runs with your plan's usage and permissions, and community packs are not audited by Anthropic. read a SKILL.md before installing save this and check the full breakdown below ↓

Ridark

15,483 görüntüleme • 13 gün önce

this GPT-6 Astra setup is getting f...cking dangerous 8 GitHub repos for turning one coding agent into an entire engineering team 01 OpenHands ▸ → autonomous software development 02 SWE-agent ▸ → issue → inspect repo → patch → test BUILD THE WORKERS 03 Aider ▸ → pair programming directly inside your repo 04 Cline ▸ → plan → edit → terminal → browser 05 Roo Code ▸ → specialized coding agent modes GIVE THEM A WORKSPACE 06 E2B ▸ → isolated sandboxes for parallel execution 07 Daytona ▸ → reproducible environments for agent workloads CHECK THE WORK 08 SWE-bench ▸ → test agents against real GitHub issues the swarm: issue → planner → split tasks → parallel agents → patches → tests → critic → merge one agent fixes the backend another handles the frontend another runs tests while a critic checks the diff that's where GPT-6 Astra gets interesting not one AI writing more code an entire software team running inside the repo ⭣
0:22

this GPT-6 Astra setup is getting f...cking dangerous 8 GitHub repos for turning one coding agent into an entire engineering team 01 OpenHands ▸ → autonomous software development 02 SWE-agent ▸ → issue → inspect repo → patch → test BUILD THE WORKERS 03 Aider ▸ → pair programming directly inside your repo 04 Cline ▸ → plan → edit → terminal → browser 05 Roo Code ▸ → specialized coding agent modes GIVE THEM A WORKSPACE 06 E2B ▸ → isolated sandboxes for parallel execution 07 Daytona ▸ → reproducible environments for agent workloads CHECK THE WORK 08 SWE-bench ▸ → test agents against real GitHub issues the swarm: issue → planner → split tasks → parallel agents → patches → tests → critic → merge one agent fixes the backend another handles the frontend another runs tests while a critic checks the diff that's where GPT-6 Astra gets interesting not one AI writing more code an entire software team running inside the repo ⭣

Lummox

37,036 görüntüleme • 1 ay önce

Moving your Coding Agents to the Cloud (ft. Codex Desktop & GPT-6 Astra) 00:00 The limitations of running agents locally 01:13 Parallel development and Git worktrees 02:03 Moving your coding agent to a remote machine 02:25 Introducing Railway Cloud Agents 02:52 Installing the CLI and signing in 03:03 Configuring your project and default agent 03:42 Bringing your agent skills 04:24 Connecting the Codex desktop app 04:48 How SSH configuration works 05:10 Adding the SSH connection in Codex 05:39 Creating a remote project and starting a chat 06:09 Long-running tasks and remote execution 06:26 ChatGPT mobile access 07:03 Using Railway from your coding agent 07:15 Orchestrating multiple cloud agents
8:20

Moving your Coding Agents to the Cloud (ft. Codex Desktop & GPT-6 Astra) 00:00 The limitations of running agents locally 01:13 Parallel development and Git worktrees 02:03 Moving your coding agent to a remote machine 02:25 Introducing Railway Cloud Agents 02:52 Installing the CLI and signing in 03:03 Configuring your project and default agent 03:42 Bringing your agent skills 04:24 Connecting the Codex desktop app 04:48 How SSH configuration works 05:10 Adding the SSH connection in Codex 05:39 Creating a remote project and starting a chat 06:09 Long-running tasks and remote execution 06:26 ChatGPT mobile access 07:03 Using Railway from your coding agent 07:15 Orchestrating multiple cloud agents

Railway

82,044 görüntüleme • 2 ay önce

this is pure f*cking treasure 15 GitHub projects with 1.21M combined stars that can form a real agent stack specs. memory. web data. documents. context. sandboxes. monitoring. video 01 hermes-agent ▸ 02 OpenSpec ▸ 03 caveman ▸ 04 Scrapling ▸ 05 Docling ▸ 06 PageIndex ▸ 07 mem0 ▸ 08 headroom ▸ 09 Daytona ▸ 10 TrendRadar ▸ 11 Fabric ▸ 12 spec-kit ▸ 13 hyperframes ▸ 14 OpenMontage ▸ 15 AI Engineering Hub ▸ the loop: define the job → collect the evidence → parse the docs → save the memory → compress the context → run the code safely → watch what changes → ship the output the entire stack is open source save this to build your own business with the help of an AI employee ⭣
0:24

this is pure f*cking treasure 15 GitHub projects with 1.21M combined stars that can form a real agent stack specs. memory. web data. documents. context. sandboxes. monitoring. video 01 hermes-agent ▸ 02 OpenSpec ▸ 03 caveman ▸ 04 Scrapling ▸ 05 Docling ▸ 06 PageIndex ▸ 07 mem0 ▸ 08 headroom ▸ 09 Daytona ▸ 10 TrendRadar ▸ 11 Fabric ▸ 12 spec-kit ▸ 13 hyperframes ▸ 14 OpenMontage ▸ 15 AI Engineering Hub ▸ the loop: define the job → collect the evidence → parse the docs → save the memory → compress the context → run the code safely → watch what changes → ship the output the entire stack is open source save this to build your own business with the help of an AI employee ⭣

beamnxw ./

159,360 görüntüleme • 1 ay önce

HERMES JUST FIXED THE BIGGEST PROBLEM WITH BROWSER AGENTS Most AI agents still click around websites like confused interns. This new setup gives them the map. Hermes + → Hermes now connects to Browserbase’s new Browse hub → Browse launched with 100+ browser skills → Each skill is a plain-text playbook for a specific website or task → Your agent can search, preview, and install skills inside Hermes Why This Matters: ✓ Less random clicking ✓ Fewer timeouts ✓ Better form filling ✓ More reliable website navigation ✓ Skills can be edited, reused, bundled, and shared The Real Stack: → Hermes runs the agent → Browserbase handles cloud browser infrastructure → gives the agent site-specific skills → Vision helps when pages get weird → Bundles let you load repeat workflows faster The killer detail: If a website breaks, you don’t wait for the model to magically improve. You update the skill. Now your agent gets better forever. That’s the difference between an AI tool and an actual agent system.
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HERMES JUST FIXED THE BIGGEST PROBLEM WITH BROWSER AGENTS Most AI agents still click around websites like confused interns. This new setup gives them the map. Hermes + → Hermes now connects to Browserbase’s new Browse hub → Browse launched with 100+ browser skills → Each skill is a plain-text playbook for a specific website or task → Your agent can search, preview, and install skills inside Hermes Why This Matters: ✓ Less random clicking ✓ Fewer timeouts ✓ Better form filling ✓ More reliable website navigation ✓ Skills can be edited, reused, bundled, and shared The Real Stack: → Hermes runs the agent → Browserbase handles cloud browser infrastructure → gives the agent site-specific skills → Vision helps when pages get weird → Bundles let you load repeat workflows faster The killer detail: If a website breaks, you don’t wait for the model to magically improve. You update the skill. Now your agent gets better forever. That’s the difference between an AI tool and an actual agent system.

Julian Goldie SEO

43,472 görüntüleme • 5 ay önce

GitHub is becoming f...cking dangerous for AI agents 10 open-source repos that turn one powerful model into an entire autonomous system 01 LangGraph ▸ → stateful agent orchestration 02 PydanticAI ▸ → typed agents + structured outputs BUILD THE CONTROL LAYER 03 Mastra ▸ → agents + workflows + memory 04 Agno ▸ → multi-agent systems GIVE IT CONTEXT 05 Cognee ▸ → data → knowledge → agent memory 06 Graphiti ▸ → knowledge that changes over time GIVE IT A COMPUTER 07 Browser Use ▸ → AI agents that operate websites 08 E2B ▸ → isolated environments for execution KEEP IT ALIVE 09 Langfuse ▸ → traces + evals + observability 10 DeepEval ▸ → test agent behavior before production the architecture: model → context → planner → memory → tools → execution → eval → retry that's the shift happening on GitHub the best repos aren't making another chatbot they're building everything the model needs around it ⭣
0:20

GitHub is becoming f...cking dangerous for AI agents 10 open-source repos that turn one powerful model into an entire autonomous system 01 LangGraph ▸ → stateful agent orchestration 02 PydanticAI ▸ → typed agents + structured outputs BUILD THE CONTROL LAYER 03 Mastra ▸ → agents + workflows + memory 04 Agno ▸ → multi-agent systems GIVE IT CONTEXT 05 Cognee ▸ → data → knowledge → agent memory 06 Graphiti ▸ → knowledge that changes over time GIVE IT A COMPUTER 07 Browser Use ▸ → AI agents that operate websites 08 E2B ▸ → isolated environments for execution KEEP IT ALIVE 09 Langfuse ▸ → traces + evals + observability 10 DeepEval ▸ → test agent behavior before production the architecture: model → context → planner → memory → tools → execution → eval → retry that's the shift happening on GitHub the best repos aren't making another chatbot they're building everything the model needs around it ⭣

Lummox

168,963 görüntüleme • 1 ay önce

Hermes keeps finding ways to make agent work cost fewer tokens. And the latest cuts are automatic. Recent changes reduced recurring context overhead across several parts of Hermes: • Desktop’s model-facing UI tool schema dropped 41% • Memory and Skills guidance went from 537 to 255 tokens • Desktop’s always-served guidance was trimmed again • roughly another 727 tokens were removed from recurring platform and steering instructions That matters whether you use Hermes for coding, research, content, automations, business workflows, or long-running agent tasks. Every token spent explaining tools, Skills, memory, or platform behavior is context that isn’t being spent on your actual work. Hermes was already notably lean here. Composio recently put that to the test using the same K3 model across competing agent harnesses. Hermes came out among the strongest on completion while also posting the lowest average cost per task in their comparison. And the Hermes team clearly isn’t treating that as good enough. They continue cutting token waste across tools, Skills, memory, platform instructions, compression, and other parts of the agentic process. The goal is simple: more of your context goes toward the work you actually asked Hermes to do. Clip via Tom
0:36

Hermes keeps finding ways to make agent work cost fewer tokens. And the latest cuts are automatic. Recent changes reduced recurring context overhead across several parts of Hermes: • Desktop’s model-facing UI tool schema dropped 41% • Memory and Skills guidance went from 537 to 255 tokens • Desktop’s always-served guidance was trimmed again • roughly another 727 tokens were removed from recurring platform and steering instructions That matters whether you use Hermes for coding, research, content, automations, business workflows, or long-running agent tasks. Every token spent explaining tools, Skills, memory, or platform behavior is context that isn’t being spent on your actual work. Hermes was already notably lean here. Composio recently put that to the test using the same K3 model across competing agent harnesses. Hermes came out among the strongest on completion while also posting the lowest average cost per task in their comparison. And the Hermes team clearly isn’t treating that as good enough. They continue cutting token waste across tools, Skills, memory, platform instructions, compression, and other parts of the agentic process. The goal is simple: more of your context goes toward the work you actually asked Hermes to do. Clip via Tom

Hermes Release Watch

20,037 görüntüleme • 2 ay önce

HERMES AGENT IS STARTING TO FEEL LIKE A DIFFERENT CATEGORY OF AI TOOL. Not just a chatbot or a coding assistant, but a server side agent that remembers workflows, builds skills, and gets better the more you use it.
9:23

HERMES AGENT IS STARTING TO FEEL LIKE A DIFFERENT CATEGORY OF AI TOOL. Not just a chatbot or a coding assistant, but a server side agent that remembers workflows, builds skills, and gets better the more you use it.

0xMarioNawfal

49,497 görüntüleme • 6 ay önce