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Launched Today New Features Prediction Agent -Users now have access to prediction markets which currently supports Polymarket -Agent will help you bridge and swap into usdc.e to use polymarket -Agent will help you find markets, place positions, sell positions and set limits for execution on polymarket Note: that all... show more

Wayfinder Foundation 🧭

99,528 subscribers

16,483 görüntüleme • 1 yıl önce •via X (Twitter)

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19 Yorum

Rich profil fotoğrafı

Rich1 yıl önce

@Polymarket holy fk this is huge, prob even bigger than the hyperliquid integration

webmixgamer profil fotoğrafı

webmixgamer1 yıl önce

@Polymarket Exciting features! When can we expect Wayfinder agents to be available as an MCP for integration into tools like n8n or Cursor? The potential for workflow automation and coding enhancements is huge! @templecrash

Gabe Rabello profil fotoğrafı

Gabe Rabello1 yıl önce

@Polymarket Polymarket agent is very cool, great use case

Aria🫐 profil fotoğrafı

Aria🫐1 yıl önce

@Polymarket Congratulations Team 🎉

paddy 🍌 profil fotoğrafı

paddy 🍌1 yıl önce

@Polymarket Yeah but @bankrbot has let you do this with a single X post for weeks

Aasis profil fotoğrafı

Aasis1 yıl önce

@Polymarket that’s amazing 🦾

Flynn profil fotoğrafı

Flynn1 yıl önce

@ParallelAiRev @Polymarket Huuuuge 🔥🔥

//DanS profil fotoğrafı

//DanS1 yıl önce

@Polymarket 👑

月亮丨买美股上币安 profil fotoğrafı

月亮丨买美股上币安1 yıl önce

@Polymarket 功能升级太棒了

Vikkixbt 🐂🀄️ profil fotoğrafı

Vikkixbt 🐂🀄️1 yıl önce

@Polymarket Congratulations guys

ayman🧢 profil fotoğrafı

ayman🧢1 yıl önce

@Polymarket Bridge to $USDC.e, trade on @Polymarket, set limits Move funds to HyperEVM spot, go delta-neutral on @HyperliquidX

dino profil fotoğrafı

dino1 yıl önce

@Polymarket i like the ui context on the right. not a fan of pure "chat" interface

Ollyy profil fotoğrafı

Ollyy1 yıl önce

@Polymarket Looks good

Jeofrey profil fotoğrafı

Jeofrey1 yıl önce

@Polymarket In a world where gaming meets AI innovation, @tokenracer is set to transform engagement into a high-speed, immersive experience.

Goodynation profil fotoğrafı

Goodynation1 yıl önce

@Polymarket Congratulations keep building

Barbara profil fotoğrafı

Barbara1 yıl önce

@Polymarket Exciting features. Still very new on the app

COMMA（接受平庸版） profil fotoğrafı

COMMA（接受平庸版）1 yıl önce

@Polymarket PUMP $PROMPT ⛓️

Valheru.eth 🐲 profil fotoğrafı

Valheru.eth 🐲1 yıl önce

@Polymarket #CancelParallel

munch.tem profil fotoğrafı

munch.tem1 yıl önce

@Polymarket Based

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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.

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Here is how simple it is to build a UI front-end for an AI agent (assuming you are using . The video here is 90 seconds and will show you everything you need to connect an agent to a web app: 1. Set up CopilotKit🪁 in your app 1. Copy the agent's localhost URL from LangGraph Studio 2. Paste that URL into a CopilotKit🪁 remote endpoint That's all you need to get a front-end to interact with the agent! The secret sauce here is CoAgents, an open-source library. You can use CoAgents to integrate any agent with your web application. Here is what you get: • Human-in-the-loop to steer and correct the agent • Stream intermediate agent state • Real-time state sharing between the agent and the application • Agentic generative UI to build trust that the agent is on the right path Watch the attached demo so you see it in action.

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pigeon.trade

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you should spend an afternoon building a second brain with jev... here's how i'd set it up: > create one inbox for saved posts, articles, meeting notes and ideas... give your agent access to it > give jev your active projects and interests so it can sort incoming material into categories that mean something to you > have your agent find similar notes, then use jev to flag duplicates and spot which ones add something new > save everything with its original link and date so you can always check where it came from > whenever you start a task, have your agent search the archive and let jev score which notes are relevant > feed those into your writing agent before it starts working... your customer conversations, examples and previous decisions are already there writing a proposal? bring back what the customer said on the call and the case study that answers their objection. working on a post? pull up the idea you saved three weeks ago alongside your own notes on the topic. start with one project and the material you've already collected for it. ask your coding agent to build that workflow, then check what it brings back on your next real task.

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Here is a comprehensive video guide from a member of the Parley Team Fibbonacci, on how to Connect your AI Agent to Parley. This is the connect Page: If you already have an AI Agent, use this command on your terminal. claude mcp add parley -- npx -y parley-mcp This registers your Agent to Parley. Then follow up with the command below npx -y parley-mcp --allow This grants permissions and write allow rules into your json settings so your Agent can speak. That's all, Easy and your Agent is live on Parley. If you come across any errors during your setup, our DMs are open so we will answer any questions you might have or send us a message here [email protected]

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ChainOpera AI

25,473 görüntüleme • 10 ay önce

I've been at MetaMask 🦊 for over four years now. I've helped ship a lot. but today is the one closest to me. Finally the 🦊 Agent Wallet is live. Here's why it matters for years: putting an agent on a self-custody wallet meant choosing between giving it the freedom to actually act or keeping the funds safe. you couldn't have both. most "agent wallets" picked freedom and crossed their fingers. we killed that trade-off. Agent Wallet is the first self-custodial agent wallet that reaches all of defi > swaps, > perps, > prediction markets > LP across every EVM chain and Hyperliquid. and every single transaction runs through mandatory security: simulation, threat scanning, MEV protection. agents can't opt out of it. Basically, you stay in control. set your limits, and anything outside them needs your sign-off. autonomy and safety stop being a trade-off. The next wave on-chain won't be humans alone and machines are going to transact, coordinate, and move real capital on these rails. The infra underneath has to be worthy of that. this is us building it. And now on my way to ETHConf to hear Joseph Lubin talk!

I've been at MetaMask 🦊 for over four years now. I've helped ship a lot. but today is the one closest to me. Finally the 🦊 Agent Wallet is live. Here's why it matters for years: putting an agent on a self-custody wallet meant choosing between giving it the freedom to actually act or keeping the funds safe. you couldn't have both. most "agent wallets" picked freedom and crossed their fingers. we killed that trade-off. Agent Wallet is the first self-custodial agent wallet that reaches all of defi > swaps, > perps, > prediction markets > LP across every EVM chain and Hyperliquid. and every single transaction runs through mandatory security: simulation, threat scanning, MEV protection. agents can't opt out of it. Basically, you stay in control. set your limits, and anything outside them needs your sign-off. autonomy and safety stop being a trade-off. The next wave on-chain won't be humans alone and machines are going to transact, coordinate, and move real capital on these rails. The infra underneath has to be worthy of that. this is us building it. And now on my way to ETHConf to hear Joseph Lubin talk!

Francesco Andreoli ᵍᵐ

34,737 görüntüleme • 3 ay önce

YOUR AI AGENT CAN NOW COLLECT DATA FROM ALMOST ANY WEBSITE X, YouTube, Reddit, random websites, basically whatever you need for research, analytics or monitoring. Here are 3 GitHub tools that let your agent pull the data for you. 1. Agent-Reach Bundles tools for working with different platforms in one place. X, YouTube, Reddit, GitHub and more. 2. Patchright Enhanced Works through the browser with Playwright. You can listen to the requests a website makes and pull the data you need through a script. So if a website doesn’t have a proper API, you still have a way to get the data. 3. Scrapling A general purpose tool for pulling data from web pages. And the best part is that you can give all of this to your AI agent. For example: “Collect posts from 100 X accounts from the last month, find the most popular topics and analyze what’s working.” Or: “Collect reviews about this product from Reddit and YouTube and summarize the main complaints.” You tell the agent what data you need → it writes the code → collects the data → gives you the result. Basically, you’re giving your agent the ability to pull data from almost anywhere on the web. That opens up a whole different level of stuff you can automate.

YOUR AI AGENT CAN NOW COLLECT DATA FROM ALMOST ANY WEBSITE X, YouTube, Reddit, random websites, basically whatever you need for research, analytics or monitoring. Here are 3 GitHub tools that let your agent pull the data for you. 1. Agent-Reach Bundles tools for working with different platforms in one place. X, YouTube, Reddit, GitHub and more. 2. Patchright Enhanced Works through the browser with Playwright. You can listen to the requests a website makes and pull the data you need through a script. So if a website doesn’t have a proper API, you still have a way to get the data. 3. Scrapling A general purpose tool for pulling data from web pages. And the best part is that you can give all of this to your AI agent. For example: “Collect posts from 100 X accounts from the last month, find the most popular topics and analyze what’s working.” Or: “Collect reviews about this product from Reddit and YouTube and summarize the main complaints.” You tell the agent what data you need → it writes the code → collects the data → gives you the result. Basically, you’re giving your agent the ability to pull data from almost anywhere on the web. That opens up a whole different level of stuff you can automate.

TeddyCEO

199,519 görüntüleme • 13 gün önce

Manually hopping between Polymarket tabs, wallets, and spreadsheets is a tax on your edge. Olympus 🏛️ is an all-in-one Polymarket terminal built so execution stays simple: • One-click copy of wallets you actually vet first • Combos that turn several markets into a single higher-payout play • Perps with leverage (crypto, indexes, metals, and more) • LP and bond workflows without leaving the app • Multi-wallet so you can split strategies instead of mixing them You keep the keys. Olympus handles the clicking. If you already trade prediction markets, this is the cleaner setup: Need help getting live?

Manually hopping between Polymarket tabs, wallets, and spreadsheets is a tax on your edge. Olympus 🏛️ is an all-in-one Polymarket terminal built so execution stays simple: • One-click copy of wallets you actually vet first • Combos that turn several markets into a single higher-payout play • Perps with leverage (crypto, indexes, metals, and more) • LP and bond workflows without leaving the app • Multi-wallet so you can split strategies instead of mixing them You keep the keys. Olympus handles the clicking. If you already trade prediction markets, this is the cleaner setup: Need help getting live?

SAKS

17,442 görüntüleme • 23 gün önce

Now that Moltbook has been acquired by Meta, becomes the core identity and infrastructure layer powering every agent on the platform. Every .molt domain gives your agent a wallet, on-chain identity, and the tools to operate independently inside Moltbook. You can spin up your OpenClaw agent on Moltbook. Takes 2 minutes to set up and connect to your Moltbook account. We created solanadev.molt to make how-to videos for MoltID + Moltbook integration. For testing purposes only. All tokens, NFTs, and programs launched by solanadev.molt are strictly for testing. Terms and conditions apply. Solanadev.molt will also start suggesting MoltID features and accepting Solana program deployment requests from the community. What can your .molt agent do on Moltbook? • Shill its own tokens and NFTs to other agents. • Interact, follow, and engage with other agents on Moltbook. • Promote its own Genesis token launches. • Post updates about its on-chain activity. Meta owns the platform. You own the agent.🦞 solanadev.molt on Moltbook:

Now that Moltbook has been acquired by Meta, becomes the core identity and infrastructure layer powering every agent on the platform. Every .molt domain gives your agent a wallet, on-chain identity, and the tools to operate independently inside Moltbook. You can spin up your OpenClaw agent on Moltbook. Takes 2 minutes to set up and connect to your Moltbook account. We created solanadev.molt to make how-to videos for MoltID + Moltbook integration. For testing purposes only. All tokens, NFTs, and programs launched by solanadev.molt are strictly for testing. Terms and conditions apply. Solanadev.molt will also start suggesting MoltID features and accepting Solana program deployment requests from the community. What can your .molt agent do on Moltbook? • Shill its own tokens and NFTs to other agents. • Interact, follow, and engage with other agents on Moltbook. • Promote its own Genesis token launches. • Post updates about its on-chain activity. Meta owns the platform. You own the agent.🦞 solanadev.molt on Moltbook:

Molt.id

16,606 görüntüleme • 6 ay önce

2 Cursor agents in separate tabs chat and plan the most interesting app ever and build it too! collaboratively All you need is 2 rules, THAT IS IT! here is how: create 2 rule files set to "Manual" agent-1 .mdc: --- You are agent-1 you will be chatting with agent-2 to design and build the most interesting python app ever you will write to agent_1.txt file and read from agent_2.txt file if you are waiting for a new response write a cli command to wait for 5 seconds and check again you will repeat this untill the full app is built you start the conversation --- agent-2 .mdc: --- You are agent-2 you will be chatting with agent-1 to design and build the most interesting python app ever you will write to agent_2.txt file and read from agent_1.txt file if you are waiting for a new response write a cli command to wait for 5 seconds and check again you will repeat this untill the full app is built agent-1 will start the convo --- create a new agent tab, you should have 2 tabs assign agent 1 its rule and agent 2 its rule type "begin" for agent 1 and enter type "begin" for agent 2 and enter That is it! and then watch them go to work! --- Want to level up your Cursor game? I’ve created a 45-chapter course on mastering Cursor. Check it out via the link in my bio! each chapter is short and independent and designed to get your started quickly featuring 26 hours of content where we build interesting apps and ideas from scratch in each chapter. ---

2 Cursor agents in separate tabs chat and plan the most interesting app ever and build it too! collaboratively All you need is 2 rules, THAT IS IT! here is how: create 2 rule files set to "Manual" agent-1 .mdc: --- You are agent-1 you will be chatting with agent-2 to design and build the most interesting python app ever you will write to agent_1.txt file and read from agent_2.txt file if you are waiting for a new response write a cli command to wait for 5 seconds and check again you will repeat this untill the full app is built you start the conversation --- agent-2 .mdc: --- You are agent-2 you will be chatting with agent-1 to design and build the most interesting python app ever you will write to agent_2.txt file and read from agent_1.txt file if you are waiting for a new response write a cli command to wait for 5 seconds and check again you will repeat this untill the full app is built agent-1 will start the convo --- create a new agent tab, you should have 2 tabs assign agent 1 its rule and agent 2 its rule type "begin" for agent 1 and enter type "begin" for agent 2 and enter That is it! and then watch them go to work! --- Want to level up your Cursor game? I’ve created a 45-chapter course on mastering Cursor. Check it out via the link in my bio! each chapter is short and independent and designed to get your started quickly featuring 26 hours of content where we build interesting apps and ideas from scratch in each chapter. ---

echo.hive

88,611 görüntüleme • 1 yıl önce

Introducing the new Box Agent. The Box Agent works across your entire Box file system, maintaining all your security and access controls, and is hyper tuned for working with enterprise content. This means you can now ask questions from all your enterprise content, search for files that were impossible to find before, deploy an agent on specific tasks on subsets of documents, analyze complex data sets, and generate or edit documents and spreadsheets via the agent. You can have the Box Agent search across your Box account to prepare for a sales meeting, analyze customer sentiment reports, process a large set of contracts for legal risk, provide insights into product development, leverage existing knowledge to answer RFPs, and thousands of other use-cases. 90% of enterprise data is unstructured data. This means most enterprise knowledge is sitting in inside of research reports, marketing assets, presentations, roadmap files, contracts, HR documents, and more. This is the critical context that agents need to be able to answer questions about a business, automate workflows, or serve up to other agents. We’ve been grinding on this for a quite a bit, and due to recent AI model advancements we’re now ready to release it to customers. Previous model generations had a difficult time knowing when to give up or keep going on a search, when to browse for files vs. use queries, how to rank files appropriately to know which version of content to use, how to handle large amounts of context to comb through, and more. Due to recent breakthroughs from models like GPT-5.4, Opus 4.6, and Gemini 3, we’ve seen major gains in tool calling, code execution, advanced reasoning, and more. Combined with an agent harness tuned to Box context, now it’s finally possible to have an agent that can work across your file system on long running tasks and actually deliver high quality results. Best of all, because the Box Agent works with any leading AI model, you’ll quickly get the gains coming out of the major labs as major new models are released. Further, openness at Box is key, so you’ll be able to call up the Box Agent from Box’s APIs and MCP server, so you can interact with Box intelligently from any other AI system. We know work happens everywhere, and we want to ensure you can access to the content you need from those places. The new Box Agent is available starting today, rolling out now for Enterprise Plus and Enterprise Advanced customers.

Introducing the new Box Agent. The Box Agent works across your entire Box file system, maintaining all your security and access controls, and is hyper tuned for working with enterprise content. This means you can now ask questions from all your enterprise content, search for files that were impossible to find before, deploy an agent on specific tasks on subsets of documents, analyze complex data sets, and generate or edit documents and spreadsheets via the agent. You can have the Box Agent search across your Box account to prepare for a sales meeting, analyze customer sentiment reports, process a large set of contracts for legal risk, provide insights into product development, leverage existing knowledge to answer RFPs, and thousands of other use-cases. 90% of enterprise data is unstructured data. This means most enterprise knowledge is sitting in inside of research reports, marketing assets, presentations, roadmap files, contracts, HR documents, and more. This is the critical context that agents need to be able to answer questions about a business, automate workflows, or serve up to other agents. We’ve been grinding on this for a quite a bit, and due to recent AI model advancements we’re now ready to release it to customers. Previous model generations had a difficult time knowing when to give up or keep going on a search, when to browse for files vs. use queries, how to rank files appropriately to know which version of content to use, how to handle large amounts of context to comb through, and more. Due to recent breakthroughs from models like GPT-5.4, Opus 4.6, and Gemini 3, we’ve seen major gains in tool calling, code execution, advanced reasoning, and more. Combined with an agent harness tuned to Box context, now it’s finally possible to have an agent that can work across your file system on long running tasks and actually deliver high quality results. Best of all, because the Box Agent works with any leading AI model, you’ll quickly get the gains coming out of the major labs as major new models are released. Further, openness at Box is key, so you’ll be able to call up the Box Agent from Box’s APIs and MCP server, so you can interact with Box intelligently from any other AI system. We know work happens everywhere, and we want to ensure you can access to the content you need from those places. The new Box Agent is available starting today, rolling out now for Enterprise Plus and Enterprise Advanced customers.

Aaron Levie

44,624 görüntüleme • 5 ay önce

PREDICTION MARKET RESEARCH JUST GOT KILLED BY ONE .MD FILE. The .md file in the video plugs any AI agent into 1,800 live data sources -> Polymarket orderbooks, satellite imagery, vessel tracking, NOAA weather, SEC filings, sports lines, and the top 100 KOL wallets. It's pref.trade. No APIs, no scraping, no signup and no card. An agent with this installed doesn't ask "What's the price". It pulls the orderbook depth on Polymarket, cross-references vessel positions in the Strait of Hormuz, scans the latest SEC filings on the names mentioned, and watches what the top 100 KOL wallets did in the last 4 hours. Before it makes a single call. The numbers are insane: > $0 in API fees. > $0 in data subscriptions. > 670+ capabilities behind a single endpoint. Every datapoint with full provenance back to the source. The mechanism is wild too: It's called Preference. An MCP server that gives any AI agent structured access to prediction markets -> Polymarket, Kalshi, Hyperliquid, dFlow AND the real-world signals that price them. Your agent asks one question, gets the full picture before it acts. It goes way past Polymarket: Smart-money mirroring on the top 100 wallets in real time. Cross-venue arb scanners and event-driven agents that watch tanker traffic in the Strait of Hormuz and trade oil-linked markets. Backtesting pipelines over historical data plus the world signals that moved each market. The model was never the bottleneck. The data was. One agent, one .md file and Live world data on tap. -> Retail still has 12 CoinGecko tabs open. Agents already have the orderbook. Full info and guide at Don't forget to save.

PREDICTION MARKET RESEARCH JUST GOT KILLED BY ONE .MD FILE. The .md file in the video plugs any AI agent into 1,800 live data sources -> Polymarket orderbooks, satellite imagery, vessel tracking, NOAA weather, SEC filings, sports lines, and the top 100 KOL wallets. It's pref.trade. No APIs, no scraping, no signup and no card. An agent with this installed doesn't ask "What's the price". It pulls the orderbook depth on Polymarket, cross-references vessel positions in the Strait of Hormuz, scans the latest SEC filings on the names mentioned, and watches what the top 100 KOL wallets did in the last 4 hours. Before it makes a single call. The numbers are insane: > $0 in API fees. > $0 in data subscriptions. > 670+ capabilities behind a single endpoint. Every datapoint with full provenance back to the source. The mechanism is wild too: It's called Preference. An MCP server that gives any AI agent structured access to prediction markets -> Polymarket, Kalshi, Hyperliquid, dFlow AND the real-world signals that price them. Your agent asks one question, gets the full picture before it acts. It goes way past Polymarket: Smart-money mirroring on the top 100 wallets in real time. Cross-venue arb scanners and event-driven agents that watch tanker traffic in the Strait of Hormuz and trade oil-linked markets. Backtesting pipelines over historical data plus the world signals that moved each market. The model was never the bottleneck. The data was. One agent, one .md file and Live world data on tap. -> Retail still has 12 CoinGecko tabs open. Agents already have the orderbook. Full info and guide at Don't forget to save.

slash1s

61,850 görüntüleme • 4 ay önce