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Spent the week building an iOS Simulator CLI tuned for AI agents bundled in RocketSim - Build Apps Faster Head-to-head vs. popular open-source alternatives across 5 real Settings app flows: 📉 ~12x fewer tokens ⚡️ 1.6x faster ✅ 4x fewer wrong taps Token cost is the killer for any...

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Antoine v.d. SwiftLee 

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29,723 görüntüleme • 4 ay önce •via X (Twitter)

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Stop letting your AI agent guess what’s inside the iOS Simulator. I built RocketSim’s CLI + Agent Skill so agents can inspect screens, tap, type, recover from state changes, and even validate accessibility support with far fewer tokens. Benchmarked against a popular alternative: 19% faster, 63% fewer estimated tokens, 0 wrong taps. Demo below 👇
5:35

Stop letting your AI agent guess what’s inside the iOS Simulator. I built RocketSim’s CLI + Agent Skill so agents can inspect screens, tap, type, recover from state changes, and even validate accessibility support with far fewer tokens. Benchmarked against a popular alternative: 19% faster, 63% fewer estimated tokens, 0 wrong taps. Demo below 👇

Antoine v.d. SwiftLee 

29,098 görüntüleme • 3 ay önce

Introducing InsForge 2.0: The Backend for Agentic Development Our OSS backend provides databases, auth, storage, model gateway, and edge functions accessible through a context-optimized layer that agents can better understand and operate end-to-end. GitHub: Key Benchmarks (vs. Supabase MCP): - 14% higher accuracy - 1.3x faster per task - 2.4x fewer tokens Better. Faster. Cheaper. Build features more quickly and confidently — all at 41.7% of the cost. Shipping your ideas today. $ npx @insforge/cli create
0:49

Introducing InsForge 2.0: The Backend for Agentic Development Our OSS backend provides databases, auth, storage, model gateway, and edge functions accessible through a context-optimized layer that agents can better understand and operate end-to-end. GitHub: Key Benchmarks (vs. Supabase MCP): - 14% higher accuracy - 1.3x faster per task - 2.4x fewer tokens Better. Faster. Cheaper. Build features more quickly and confidently — all at 41.7% of the cost. Shipping your ideas today. $ npx @insforge/cli create

InsForge

1,592,532 görüntüleme • 5 ay önce

OpenAI engineer made $1.2M for one lecture on AI agents - and now Stanford is sharing it for free: 00:16 - how to be in the 5% building agents not the 95% being replaced 28:34 - one agent instead of 20 people 10x faster 59:47 - one prompt creates an agent making $100k a month after watching I realized - while I was paying my team an agent could do their work 10x faster cheaper Save & watch - the article below shows how to become the 5% who build agents and not the 95% they replace.
36:19

OpenAI engineer made $1.2M for one lecture on AI agents - and now Stanford is sharing it for free: 00:16 - how to be in the 5% building agents not the 95% being replaced 28:34 - one agent instead of 20 people 10x faster 59:47 - one prompt creates an agent making $100k a month after watching I realized - while I was paying my team an agent could do their work 10x faster cheaper Save & watch - the article below shows how to become the 5% who build agents and not the 95% they replace.

Noisy

39,111 görüntüleme • 15 gün önce

Every week another AI image app hits the top charts. The window is open, but not forever. That's why I built Platano. Today it's production ready. What's inside: - Expo SDK 56 - Agent skills for setup, rebranding, adding languages, and more - Fully native iOS and Android - Material You on Android, Liquid Glass with iOS 18 fallbacks - Onboarding flow battle-tested in my AI Tattoo app (live in the App Store) - RevenueCat payments - AI editor with Nano Banana 2 - Clean architecture your agent can extend - Interactive CLI to spin it up I use this as the base for every real app I'm building now, not just AI image apps. Ship something maintainable. Validate fast. (link below)
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Every week another AI image app hits the top charts. The window is open, but not forever. That's why I built Platano. Today it's production ready. What's inside: - Expo SDK 56 - Agent skills for setup, rebranding, adding languages, and more - Fully native iOS and Android - Material You on Android, Liquid Glass with iOS 18 fallbacks - Onboarding flow battle-tested in my AI Tattoo app (live in the App Store) - RevenueCat payments - AI editor with Nano Banana 2 - Clean architecture your agent can extend - Interactive CLI to spin it up I use this as the base for every real app I'm building now, not just AI image apps. Ship something maintainable. Validate fast. (link below)

Beto

11,477 görüntüleme • 3 ay önce

24 hours ago, AI agents could help you brainstorm a startup. Today, they can literally incorporate one. Naïve just launched Company Formation: → register an LLC or C-Corp → file documents in any US state → handle compliance flows → retrieve incorporation docs + EIN letter …all from the CLI. The wild part isn’t just automation. It’s that “starting a company” is becoming an API call. We’re watching the barrier between idea → execution collapse in real time. The agent economy is going to move much faster than most people expect.
0:23

24 hours ago, AI agents could help you brainstorm a startup. Today, they can literally incorporate one. Naïve just launched Company Formation: → register an LLC or C-Corp → file documents in any US state → handle compliance flows → retrieve incorporation docs + EIN letter …all from the CLI. The wild part isn’t just automation. It’s that “starting a company” is becoming an API call. We’re watching the barrier between idea → execution collapse in real time. The agent economy is going to move much faster than most people expect.

Mimu | AI Tools & News

16,532 görüntüleme • 3 ay önce

🚨 this chinese guy makes over $1,000,000 a year… by building AI agents. no employees. no massive startup. he just keeps building. while most people are still asking ChatGPT random questions, he’s using Claude to build software that solves real problems. this is what people call vibe coding. he opens Claude and says: “build me an AI agent for real estate businesses that creates property videos.” Claude writes the code. builds the interface. adds subscriptions. helps deploy the app. within a day, he has a working product. then he starts building the next one. that’s the part most people don’t understand. he isn’t trying to build one billion-dollar company. he’s building dozens of AI agents, each solving one problem for one industry. → an AI agent for dentists → an AI agent for ecommerce brands → an AI agent for podcasters → an AI agent for real estate businesses each one automates work that people normally do by hand. each one is built with simple prompts. each one can become a real business. the crazy part? you don’t need to be a software engineer anymore. you need to know how to think like a builder. how to spot problems. how to explain solutions to AI. and how to ship. that’s exactly why i’m reading this article: “How to Actually Build Your First AI Agent.” because this is the skill that’s creating the next generation of builders. the people who learn to build AI agents today won’t just use AI. they’ll own the tools everyone else ends up paying for.
1:15

🚨 this chinese guy makes over $1,000,000 a year… by building AI agents. no employees. no massive startup. he just keeps building. while most people are still asking ChatGPT random questions, he’s using Claude to build software that solves real problems. this is what people call vibe coding. he opens Claude and says: “build me an AI agent for real estate businesses that creates property videos.” Claude writes the code. builds the interface. adds subscriptions. helps deploy the app. within a day, he has a working product. then he starts building the next one. that’s the part most people don’t understand. he isn’t trying to build one billion-dollar company. he’s building dozens of AI agents, each solving one problem for one industry. → an AI agent for dentists → an AI agent for ecommerce brands → an AI agent for podcasters → an AI agent for real estate businesses each one automates work that people normally do by hand. each one is built with simple prompts. each one can become a real business. the crazy part? you don’t need to be a software engineer anymore. you need to know how to think like a builder. how to spot problems. how to explain solutions to AI. and how to ship. that’s exactly why i’m reading this article: “How to Actually Build Your First AI Agent.” because this is the skill that’s creating the next generation of builders. the people who learn to build AI agents today won’t just use AI. they’ll own the tools everyone else ends up paying for.

MIKE

38,108 görüntüleme • 1 ay önce

So here’s the deal - we’re officially launching Wordware today, and it turns out our Y Combinator batchmate -Phonely decided to launch on the same day. Annoying, right? Then the CEO of Product Hunt 😸, Rajiv Ayyangar , challenged us to a friendly head-to-head battle. Now we’re fighting for PH votes - whoever gets fewer votes has to eat only beans for a whole week! I’m sure Will will enjoy it because we’re not losing this! Remember to vote for Wordware - your tool for building AI agents with natural language. Our platform is an IDE for building AI agents with natural language. Now, anyone can build and iterate 20x faster on AI applications with prebuilt tools, API deployment, tracing, and more.
1:33

So here’s the deal - we’re officially launching Wordware today, and it turns out our Y Combinator batchmate -Phonely decided to launch on the same day. Annoying, right? Then the CEO of Product Hunt 😸, Rajiv Ayyangar , challenged us to a friendly head-to-head battle. Now we’re fighting for PH votes - whoever gets fewer votes has to eat only beans for a whole week! I’m sure Will will enjoy it because we’re not losing this! Remember to vote for Wordware - your tool for building AI agents with natural language. Our platform is an IDE for building AI agents with natural language. Now, anyone can build and iterate 20x faster on AI applications with prebuilt tools, API deployment, tracing, and more.

Filip Kozera

12,751 görüntüleme • 2 yıl önce

Box is a launch partner for Microsoft’s Apps in Copilot launch. The Box AI Agent for Microsoft365 Copilot will be able to surface rich visual previews like slides, graphs, and images right in the conversation and have access to all of the Box MCP server tools. Coming soon to the Box AI Agent in Microsoft 365 Copilot: 🔹 MCP-powered workflows — metadata extraction, document generation, and more 🔹 Visual-first search — view complicated graphs or rich visuals that are buried in your Box content, without having to open files. 🔹 Fewer clarifications, faster decisions - move from chat to action Enable agents to bring apps into the flow of work, while keeping IT in control:
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Box is a launch partner for Microsoft’s Apps in Copilot launch. The Box AI Agent for Microsoft365 Copilot will be able to surface rich visual previews like slides, graphs, and images right in the conversation and have access to all of the Box MCP server tools. Coming soon to the Box AI Agent in Microsoft 365 Copilot: 🔹 MCP-powered workflows — metadata extraction, document generation, and more 🔹 Visual-first search — view complicated graphs or rich visuals that are buried in your Box content, without having to open files. 🔹 Fewer clarifications, faster decisions - move from chat to action Enable agents to bring apps into the flow of work, while keeping IT in control:

Box

335,591 görüntüleme • 5 ay önce

10 repos that cut your ai agent token bill by up to 80% 1. microsoft/LLMLingua → cuts prompt size by up to 95% compresses prompts before the api call. 20x compression. published at EMNLP + ACL. near-zero quality loss. 6,100 stars 2. mem0ai/mem0 → replaces full conversation history in context stores what matters. retrieves only what's needed. 10,000 token history → 200 token memory. per agent. 54,800 stars 3. BerriAI/litellm → routes each call to the cheapest model simple task → haiku. complex task → sonnet. tracks cost per agent, per call, per day. 45,700 stars 4. run-llama/llama_index → replaces sending full documents rag: 100-page doc → 3 relevant chunks → same answer. 98% fewer tokens per query. 49,100 stars 5. chroma-core/chroma → replaces keyword search in full context vector store. finds the closest match. feeds only that. 50-200 tokens per query instead of thousands. 27,800 stars 6. letta-ai/letta → replaces infinite context window crashes paged memory for agents. loads only relevant memory. stops your agent from hitting limits and retrying. 22,400 stars 7. guidance-ai/guidance → cuts output token bloat by 30-50% structured generation. constrains model output natively. no more 100-token prompts to get json back. 21,400 stars 8. Aider-AI/aider → replaces pasting entire codebases builds a repo map. sends only files relevant to the task. not your whole project. just what the agent needs. 44,300 stars 9. openai/tiktoken → count tokens before you send know the exact cost before the api call happens. not after the bill arrives. 18,100 stars 10. simonw/ttok → hard cap on what gets sent cli tool: count tokens, truncate to budget limit. pipe any text in. get truncated output back. 389 stars most agents are expensive not because the model is expensive. because nobody checked what was being sent to it.
0:51

10 repos that cut your ai agent token bill by up to 80% 1. microsoft/LLMLingua → cuts prompt size by up to 95% compresses prompts before the api call. 20x compression. published at EMNLP + ACL. near-zero quality loss. 6,100 stars 2. mem0ai/mem0 → replaces full conversation history in context stores what matters. retrieves only what's needed. 10,000 token history → 200 token memory. per agent. 54,800 stars 3. BerriAI/litellm → routes each call to the cheapest model simple task → haiku. complex task → sonnet. tracks cost per agent, per call, per day. 45,700 stars 4. run-llama/llama_index → replaces sending full documents rag: 100-page doc → 3 relevant chunks → same answer. 98% fewer tokens per query. 49,100 stars 5. chroma-core/chroma → replaces keyword search in full context vector store. finds the closest match. feeds only that. 50-200 tokens per query instead of thousands. 27,800 stars 6. letta-ai/letta → replaces infinite context window crashes paged memory for agents. loads only relevant memory. stops your agent from hitting limits and retrying. 22,400 stars 7. guidance-ai/guidance → cuts output token bloat by 30-50% structured generation. constrains model output natively. no more 100-token prompts to get json back. 21,400 stars 8. Aider-AI/aider → replaces pasting entire codebases builds a repo map. sends only files relevant to the task. not your whole project. just what the agent needs. 44,300 stars 9. openai/tiktoken → count tokens before you send know the exact cost before the api call happens. not after the bill arrives. 18,100 stars 10. simonw/ttok → hard cap on what gets sent cli tool: count tokens, truncate to budget limit. pipe any text in. get truncated output back. 389 stars most agents are expensive not because the model is expensive. because nobody checked what was being sent to it.

self.dll

39,554 görüntüleme • 3 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_builderz moved to nykdotdev for the daily build in public.
1:30

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_builderz moved to nykdotdev for the daily build in public.

Nyk 🌱

19,770 görüntüleme • 1 ay önce

How will companies build agents that work alongside their employees? I discuss this with Guillermo Rauch, the CEO of Vercel, who’s building V... an internal agent used by almost 1,000 people across Vercel. We talk about: - The Openclaw Movement - How to get started building agents for your team? - Do we build a team of many agents or one GOD agent? - Hard parts of creating agents - Agents that delegate to other agents with different permissions and computer access - Eve The framework for building agents This is Agent Native #4 00:00 Intro 01:21 The State of Agent Adoption 07:26 "V" - Vercel's Internal Company Agent 14:32 Lessons from OpenClaw: Soul & Computer use 22:20 One God Agent OR a Team of Agents 27:11 Build Your Own Agent: Skills, Tools & Permissions 33:52 Proactive Agents, Triggers & Self-Improvement 40:30 Who Will Build Agents & Getting Started 46:22 Open Models - Cheaper, Faster, Better 53:05 Closing Thoughts: Owning Your Own Intelligence
54:22

How will companies build agents that work alongside their employees? I discuss this with Guillermo Rauch, the CEO of Vercel, who’s building V... an internal agent used by almost 1,000 people across Vercel. We talk about: - The Openclaw Movement - How to get started building agents for your team? - Do we build a team of many agents or one GOD agent? - Hard parts of creating agents - Agents that delegate to other agents with different permissions and computer access - Eve The framework for building agents This is Agent Native #4 00:00 Intro 01:21 The State of Agent Adoption 07:26 "V" - Vercel's Internal Company Agent 14:32 Lessons from OpenClaw: Soul & Computer use 22:20 One God Agent OR a Team of Agents 27:11 Build Your Own Agent: Skills, Tools & Permissions 33:52 Proactive Agents, Triggers & Self-Improvement 40:30 Who Will Build Agents & Getting Started 46:22 Open Models - Cheaper, Faster, Better 53:05 Closing Thoughts: Owning Your Own Intelligence

Riley Brown

75,929 görüntüleme • 22 gün önce

Today, we're introducing not one but TWO new models, striking the balance between efficiency and quality to enable you to build production AI agents. — Gemini 3.6 Flash: Addresses efficiency feedback we received from Gemini 3.5 Flash with upgrades in coding, knowledge work, and multimodal tasks faster, more accurately, and with substantially fewer tokens per task — Gemini 3.5 Flash-Lite: Our fastest, most cost-effective 3.5-class model yet built for agentic workflows, hitting ~350 output tokens/sec with improved coding and overall quality Start building with these today via the Gemini API in Google AI Studio or try them out in the Google Gemini
0:42

Today, we're introducing not one but TWO new models, striking the balance between efficiency and quality to enable you to build production AI agents. — Gemini 3.6 Flash: Addresses efficiency feedback we received from Gemini 3.5 Flash with upgrades in coding, knowledge work, and multimodal tasks faster, more accurately, and with substantially fewer tokens per task — Gemini 3.5 Flash-Lite: Our fastest, most cost-effective 3.5-class model yet built for agentic workflows, hitting ~350 output tokens/sec with improved coding and overall quality Start building with these today via the Gemini API in Google AI Studio or try them out in the Google Gemini

Google AI

437,193 görüntüleme • 1 ay önce

This GitHub repo is gold for anyone running Claude Code/ Codex / Any coding agent at all. My usage limits almost last double since I started using this. An open source context layer that stops your agent from reading 40 files to answer one question. No API key, no billing, no rate limit tiers. Benchmarked against Claude Code baseline: 27x token efficiency, 36% lower cost, 89% fewer file reads, 49% fewer tool calls. Every number is reproducible, the harness is in the repo. 3.5k+ stars. 50k+ pip installs, 30+ contributors, works with Claude Code, Cursor and VS Code out of the box. pip install repowise and point it at your codebase.
0:20

This GitHub repo is gold for anyone running Claude Code/ Codex / Any coding agent at all. My usage limits almost last double since I started using this. An open source context layer that stops your agent from reading 40 files to answer one question. No API key, no billing, no rate limit tiers. Benchmarked against Claude Code baseline: 27x token efficiency, 36% lower cost, 89% fewer file reads, 49% fewer tool calls. Every number is reproducible, the harness is in the repo. 3.5k+ stars. 50k+ pip installs, 30+ contributors, works with Claude Code, Cursor and VS Code out of the box. pip install repowise and point it at your codebase.

Srishti

12,998 görüntüleme • 1 ay önce

We flew the Nebula team to SF, drove 2 hours to a cabin, spent this week on one goal: Ship months of product in days. This wasn't an offsite, it was hack week. No agendas, no normal work, just crazy output. Here's what we built: -Mini Apps: embedded apps agents control -Public Agents: discover, share, clone agents -Nebula Advisor Model: 3.3x cheaper, same perf -CLI: nebula in the terminal -Local Device: nebula runs your computer -Desktop App: always-on nebula -Workspaces: spaces for your agents -Multiplayer: invite people, collaborate -Voice Mode: talk to your agents Half are live, rest hitting soon. Still plenty to improve but this finally feels like the v1 we've been building toward.
0:37

We flew the Nebula team to SF, drove 2 hours to a cabin, spent this week on one goal: Ship months of product in days. This wasn't an offsite, it was hack week. No agendas, no normal work, just crazy output. Here's what we built: -Mini Apps: embedded apps agents control -Public Agents: discover, share, clone agents -Nebula Advisor Model: 3.3x cheaper, same perf -CLI: nebula in the terminal -Local Device: nebula runs your computer -Desktop App: always-on nebula -Workspaces: spaces for your agents -Multiplayer: invite people, collaborate -Voice Mode: talk to your agents Half are live, rest hitting soon. Still plenty to improve but this finally feels like the v1 we've been building toward.

Furqan Rydhan

12,864 görüntüleme • 4 ay önce

Most token launches on Solana are still messy. 5+ tools, manual wallets, copy-paste commands and still getting front-run. ForgeX CLI fixes that. One command-line tool for the full lifecycle, from creating your token on @pumpdotfun or launching directly on Raydium, then seamlessly managing volume and steering price across Raydium pools. No stitched scripts. No big team. One workflow, or hand it to an AI agent to run end-to-end. The unlock most people miss: ForgeX CLI lets you manage Token ops at scale that require coordinated wallets, not one, not five, but hundreds acting together that distribute funds, run ops, and collect with a single prompt. What used to need custom infra is now open source for everyone to use.
0:53

Most token launches on Solana are still messy. 5+ tools, manual wallets, copy-paste commands and still getting front-run. ForgeX CLI fixes that. One command-line tool for the full lifecycle, from creating your token on @pumpdotfun or launching directly on Raydium, then seamlessly managing volume and steering price across Raydium pools. No stitched scripts. No big team. One workflow, or hand it to an AI agent to run end-to-end. The unlock most people miss: ForgeX CLI lets you manage Token ops at scale that require coordinated wallets, not one, not five, but hundreds acting together that distribute funds, run ops, and collect with a single prompt. What used to need custom infra is now open source for everyone to use.

Sonic SVM

76,480 görüntüleme • 5 ay önce

ChatGPT: Opens a new tab, you copy-paste. Siri: Transcribes text, you still do the work. Lemon: Completes the entire task while you keep working. Traditional voice assistants are convenient to use. But they cannot complete tasks for you. That's why Lemon stands out. Lemon is an AI agent that completes tasks from voice commands, without opening new tabs or switching apps. Press the fn key. Say what you need done. Watch it happen: ➟ "Reply to Sarah's email and tell her I'll have the report by Friday" — sent ➟ "Create a project brief for the new client" — done ➟ "Search for the latest stats on AI adoption" — on your screen ➟ "Make this email sound more professional" — edited ➟ "Give me three angles for this campaign" — ideas generated ➟ "Write this paragraph in a more casual tone" — rewritten No new tabs. No manual steps. No switching back and forth. Lemon works across every app on your Mac. The results: ✓ Users save 2+ hours daily ✓ Reply to emails 12x faster ✓ Open 70% fewer tabs ✓ Type 5x faster than traditional workflows Your voice isn't just for dictation anymore. It's a faster way to complete your work tasks. 📌 Try Lemon (it's free for 30 days): 🔄 Repost to help others work faster — #AI #Agent #LemonPartnership
0:31

ChatGPT: Opens a new tab, you copy-paste. Siri: Transcribes text, you still do the work. Lemon: Completes the entire task while you keep working. Traditional voice assistants are convenient to use. But they cannot complete tasks for you. That's why Lemon stands out. Lemon is an AI agent that completes tasks from voice commands, without opening new tabs or switching apps. Press the fn key. Say what you need done. Watch it happen: ➟ "Reply to Sarah's email and tell her I'll have the report by Friday" — sent ➟ "Create a project brief for the new client" — done ➟ "Search for the latest stats on AI adoption" — on your screen ➟ "Make this email sound more professional" — edited ➟ "Give me three angles for this campaign" — ideas generated ➟ "Write this paragraph in a more casual tone" — rewritten No new tabs. No manual steps. No switching back and forth. Lemon works across every app on your Mac. The results: ✓ Users save 2+ hours daily ✓ Reply to emails 12x faster ✓ Open 70% fewer tabs ✓ Type 5x faster than traditional workflows Your voice isn't just for dictation anymore. It's a faster way to complete your work tasks. 📌 Try Lemon (it's free for 30 days): 🔄 Repost to help others work faster — #AI #Agent #LemonPartnership

Andrew Bolis

91,782 görüntüleme • 6 ay önce

Our most intelligent workhorse model yet for coding and agents has arrived ⚡ Meet Gemini 3.7 Flash. — Crush that seemingly endless to-do list. Gemini Spark in the Google Gemini now uses 3.7 Flash. The new model can equip your personal AI agent to work even smarter for you by seamlessly handling complex, multi-step tasks across your Google Workspace apps like Gmail, Google Calendar and Google Docs — Enjoy a smoother build experience. The model thinks more diligently, putting more effort into multi-step planning and tool calls. A more disciplined execution means less manual oversight and fewer retries across engineering workflows — Build more, spend less. 3.7 Flash is available through the end of the year with an introductory price of half the original 3.6 Flash cost per million tokens ($0.75/1M input tokens and $3.75/1M output tokens)
1:15

Our most intelligent workhorse model yet for coding and agents has arrived ⚡ Meet Gemini 3.7 Flash. — Crush that seemingly endless to-do list. Gemini Spark in the Google Gemini now uses 3.7 Flash. The new model can equip your personal AI agent to work even smarter for you by seamlessly handling complex, multi-step tasks across your Google Workspace apps like Gmail, Google Calendar and Google Docs — Enjoy a smoother build experience. The model thinks more diligently, putting more effort into multi-step planning and tool calls. A more disciplined execution means less manual oversight and fewer retries across engineering workflows — Build more, spend less. 3.7 Flash is available through the end of the year with an introductory price of half the original 3.6 Flash cost per million tokens ($0.75/1M input tokens and $3.75/1M output tokens)

Google AI

126,054 görüntüleme • 14 gün önce

10 GitHub repos with ⭐ 450k+ combined stars that stop your agent from wasting tokens 1. caveman 98k⭐ - makes your AI agent talk like a caveman. Same answers, 65% fewer output tokens. 2. rtk 76k⭐ - CLI proxy that filters git/test/docker output before it hits your context. Up to 90% less bash noise. 3. mem0 63k⭐ - memory layer for AI agents. Stops your agent from re-explaining the same context every session. 4. context7 60.7k⭐ - pulls exact, up-to-date docs into context instead of your agent guessing and burning tokens on retries. 5. aider 48k⭐ - builds a map of your repo instead of loading the whole codebase into context. 6. code-review-graph 30k⭐ - graphs your codebase so your agent reads 2-3 files instead of the whole repo. Up to 376x fewer tokens per question. 7. serena 28k⭐ - gives agents symbol-level code access instead of reading full files line by line. 8. repomix 28k⭐ - compresses your entire repo into an AI-friendly format. ~70% token reduction. 9. ccusage 18k⭐ - shows you exactly where your Claude Code sessions are burning tokens. 10. GPTCache 8k⭐ - semantic cache for LLM calls. Stop paying twice for the same question. Save this before your next agent session burns through your subscription 👇
1:03

10 GitHub repos with ⭐ 450k+ combined stars that stop your agent from wasting tokens 1. caveman 98k⭐ - makes your AI agent talk like a caveman. Same answers, 65% fewer output tokens. 2. rtk 76k⭐ - CLI proxy that filters git/test/docker output before it hits your context. Up to 90% less bash noise. 3. mem0 63k⭐ - memory layer for AI agents. Stops your agent from re-explaining the same context every session. 4. context7 60.7k⭐ - pulls exact, up-to-date docs into context instead of your agent guessing and burning tokens on retries. 5. aider 48k⭐ - builds a map of your repo instead of loading the whole codebase into context. 6. code-review-graph 30k⭐ - graphs your codebase so your agent reads 2-3 files instead of the whole repo. Up to 376x fewer tokens per question. 7. serena 28k⭐ - gives agents symbol-level code access instead of reading full files line by line. 8. repomix 28k⭐ - compresses your entire repo into an AI-friendly format. ~70% token reduction. 9. ccusage 18k⭐ - shows you exactly where your Claude Code sessions are burning tokens. 10. GPTCache 8k⭐ - semantic cache for LLM calls. Stop paying twice for the same question. Save this before your next agent session burns through your subscription 👇

unicode

66,024 görüntüleme • 13 gün 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 • 3 ay önce

🚨 The OriginTrail Bounty is UNDERWAY! 🔥 Round 1 is OPEN NOW — 50,000 TRAC Tokens up for grabs! OriginTrail is paying builders 1,000 to 10,000 TRAC Tokens to connect AI agents (ChatGPT, Claude, OpenClaw, Hermes, etc.) to the new Working Memory and Shared Memory layers in DKG v10. Just dropped a clear breakdown video explaining: ✅ - How the 3 memory layers work ✅ - What makes a Flagship integration (10k TRAC) ✅ - Real examples you can actually build ✅ - How to submit your project If you're a developer or agent builder → this is your moment. Watch the full explainer 👇
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🚨 The OriginTrail Bounty is UNDERWAY! 🔥 Round 1 is OPEN NOW — 50,000 TRAC Tokens up for grabs! OriginTrail is paying builders 1,000 to 10,000 TRAC Tokens to connect AI agents (ChatGPT, Claude, OpenClaw, Hermes, etc.) to the new Working Memory and Shared Memory layers in DKG v10. Just dropped a clear breakdown video explaining: ✅ - How the 3 memory layers work ✅ - What makes a Flagship integration (10k TRAC) ✅ - Real examples you can actually build ✅ - How to submit your project If you're a developer or agent builder → this is your moment. Watch the full explainer 👇

dkg://TriniZone

39,451 görüntüleme • 3 ay önce