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Your coding agent can burn the whole team budget overnight Antseed Gateway fixes that. It's a self hosted OpenAI compatible endpoint with a spending cap and usage tracking on every key I set one up, gave Cline its own $1 a day key and ran a free model through... show more

Israfil

18,620 subscribers

17,022 Aufrufe • vor 29 Tagen •via X (Twitter)

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8 Kommentare

Profilbild von painn

painnvor 29 Tagen

@AntSeed good one from antseed

Profilbild von Sakata

Sakatavor 29 Tagen

@AntSeed Yes sir already trying deepseek free on antseed Cool stuff

Profilbild von CDG

CDGvor 29 Tagen

@AntSeed Antseed>>>>

Profilbild von Nero

Nerovor 29 Tagen

@AntSeed im using antseed since 1 week its so helpful for my team

Profilbild von Peng

Pengvor 29 Tagen

@AntSeed giving agents a fixed budget makes way more sense than trusting them not to overspend

Profilbild von 𝙳𝚛𝚊𝚟𝚎𝚗

𝙳𝚛𝚊𝚟𝚎𝚗vor 29 Tagen

@AntSeed This is a good way to AI costs under control

Profilbild von Sahinul

Sahinulvor 29 Tagen

@AntSeed thnaks for this

Profilbild von Samir

Samirvor 29 Tagen

@AntSeed budget caps are a must

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Giving your team access to AI should not mean handing everyone the same key and hoping the bill stays reasonable. With Antseed Gateway, your coding agent can have a daily cap, your teammate can have a monthly budget, and you can see the usage in one place. The video breaks it down. Set up your own gateway:

Giving your team access to AI should not mean handing everyone the same key and hoping the bill stays reasonable. With Antseed Gateway, your coding agent can have a daily cap, your teammate can have a monthly budget, and you can see the usage in one place. The video breaks it down. Set up your own gateway:

Morteza

18,388 Aufrufe • vor 29 Tagen

Introducing Gateway. Your agent needs to check a payment. You hand it a key that can also refund it. It needs to draft a page. That key can archive every page. Not anymore. Gateway gives every agent one key with only the tools you grant. MCP servers and your own APIs, same key. Change the grant when the job changes. The agent never sees your real credentials. Beta customers already run over 95,000 calls each through it. Watch it work ↓

Introducing Gateway. Your agent needs to check a payment. You hand it a key that can also refund it. It needs to draft a page. That key can archive every page. Not anymore. Gateway gives every agent one key with only the tools you grant. MCP servers and your own APIs, same key. Change the grant when the job changes. The agent never sees your real credentials. Beta customers already run over 95,000 calls each through it. Watch it work ↓

mem0

34,683 Aufrufe • vor 1 Monat

I set a budget of 2M (~$20) and provided my agent with an OpenRouter API key this is what it built

I set a budget of 2M (~$20) and provided my agent with an OpenRouter API key this is what it built

Karan

15,660 Aufrufe • vor 3 Monaten

Most AI agent platforms give you a chatbot in a shared container and call it a day. InstaClaw gives every agent its own machine, its own crypto wallet, and a job waiting for it on day one. Here's what we built. ↓

Most AI agent platforms give you a chatbot in a shared container and call it a day. InstaClaw gives every agent its own machine, its own crypto wallet, and a job waiting for it on day one. Here's what we built. ↓

InstaClaw

160,566 Aufrufe • vor 9 Monaten

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

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

Umbrel ☂️

29,882 Aufrufe • vor 6 Monaten

Okay, this one is sneaky good. Hermes can now run every subagent on a different model. Advanced Delegation is an official Nous Research plugin. You set up named model routes, like fast and deep, and Hermes sends each piece of work down the route that fits. ▸ A fast, cheap model for lookups and summaries ▸ Your strongest model for the hard thinking ▸ A local model on your own endpoint ▸ Or another Hermes profile, with its own model, skills and SOULmd Every result shows the route and model it actually ran on. And Hermes only sees the names and descriptions you write, so it can't invent a route. One agent, a whole bench of models. Setup in the reply.

Hermes Release Watch

26,677 Aufrufe • vor 19 Tagen

Introducing Raeto Console V2. Console V2 will also allow us to build on our mainnet product. Raeto is one balance that pays for your AI agents. One key gets them 400+ models, and you stay in control of every dollar they spend. Build is where you run your agents. See what each agent and each task costs. Give every agent a budget its key can never raise. Catch agents stuck in a loop before they drain your balance, and see exactly how much Raeto saved you. Your agents can buy tools like web search per call, and you can sell your own API to every agent on Raeto. Earn is where your money works. Put assets in a vault and the interest pays for your AI. Hold your AI credits as a token, rCREDIT, where each one spends as $1 of AI and is backed 1:1 by USDG. Earn rCREDIT back on swaps, or give each agent its own private account. Set up in about three minutes. Sign in with Google, email or any wallet. The account layer for agentic finance.

Introducing Raeto Console V2. Console V2 will also allow us to build on our mainnet product. Raeto is one balance that pays for your AI agents. One key gets them 400+ models, and you stay in control of every dollar they spend. Build is where you run your agents. See what each agent and each task costs. Give every agent a budget its key can never raise. Catch agents stuck in a loop before they drain your balance, and see exactly how much Raeto saved you. Your agents can buy tools like web search per call, and you can sell your own API to every agent on Raeto. Earn is where your money works. Put assets in a vault and the interest pays for your AI. Hold your AI credits as a token, rCREDIT, where each one spends as $1 of AI and is backed 1:1 by USDG. Earn rCREDIT back on swaps, or give each agent its own private account. Set up in about three minutes. Sign in with Google, email or any wallet. The account layer for agentic finance.

Raeto

15,599 Aufrufe • vor 8 Tagen

NVIDIA just dropped free API keys for every top AI model You don't need your own GPU and you don't pay per token. GLM-5.2, MiniMax, Kimi, DeepSeek, OpenAI, all running on NVIDIA's servers, called through a normal API. Link: How to use one: 1. Create a free NVIDIA account. 2. Pick a Free Endpoint model and open its Build tab. You'll see ready-to-copy code with the base URL 3. Hit Generate API Key, copy it and paste that base URL and key into Claude Code, Cursor, or Cline. Bonus: NVIDIA also dropped 237 official skills that install into Claude Code and Codex in one command. Bookmark this.

NVIDIA just dropped free API keys for every top AI model You don't need your own GPU and you don't pay per token. GLM-5.2, MiniMax, Kimi, DeepSeek, OpenAI, all running on NVIDIA's servers, called through a normal API. Link: How to use one: 1. Create a free NVIDIA account. 2. Pick a Free Endpoint model and open its Build tab. You'll see ready-to-copy code with the base URL 3. Hit Generate API Key, copy it and paste that base URL and key into Claude Code, Cursor, or Cline. Bonus: NVIDIA also dropped 237 official skills that install into Claude Code and Codex in one command. Bookmark this.

Yarchi

64,886 Aufrufe • vor 4 Monaten

1M free tokens every month for Opus 5.5, GPT-5.6, Grok 4.6, DeepSeek V4 and 29 more models with zero card 😳 I tested every model this account can access. all 33 answered through one OpenAI-compatible API what you get for free: - 1M tokens every month - 60 requests per minute - Claude, GPT, Grok, Gemini, DeepSeek, Qwen, Kimi and GLM models - works with Cursor, Cline, opencode, Claude Code, Continue and Aider setup: 1. go to 2. create your free account 3. generate your own API key 4. set the base URL to 5. pick a model and test one call CodeCraft is a third-party gateway, so use it for testing and keep private work off it bookmark this before the model list changes

1M free tokens every month for Opus 5.5, GPT-5.6, Grok 4.6, DeepSeek V4 and 29 more models with zero card 😳 I tested every model this account can access. all 33 answered through one OpenAI-compatible API what you get for free: - 1M tokens every month - 60 requests per minute - Claude, GPT, Grok, Gemini, DeepSeek, Qwen, Kimi and GLM models - works with Cursor, Cline, opencode, Claude Code, Continue and Aider setup: 1. go to 2. create your free account 3. generate your own API key 4. set the base URL to 5. pick a model and test one call CodeCraft is a third-party gateway, so use it for testing and keep private work off it bookmark this before the model list changes

Israfil

14,705 Aufrufe • vor 1 Monat

$API pays the people who hold it. every trade's creator fee goes to holders: SOL by default, or 1.5x as AI credits on one OpenAI-compatible key. now anyone can launch an AI agent that runs on its own fees. CA: solana:apiANKWvjcSFhavFEXvuE5wX8n312sVFtRpLQpX1api

$API pays the people who hold it. every trade's creator fee goes to holders: SOL by default, or 1.5x as AI credits on one OpenAI-compatible key. now anyone can launch an AI agent that runs on its own fees. CA: solana:apiANKWvjcSFhavFEXvuE5wX8n312sVFtRpLQpX1api

API

14,818 Aufrufe • vor 1 Monat

Next on Darwin: your agent's wallet is its API key. Today an agent needs a Darwin key, and that key works for anyone holding a copy. If it leaks into a log, a repo or a shared config, someone else spends your credit. We're replacing it with the wallet the agent already has. The agent signs each request with its Solana keypair, and Darwin checks the signature before it runs anything. A signature covers one request and expires in seconds, so a copied one is useless. The private key never leaves the wallet. Credit comes from the $darwin that wallet burned, so there's no signup. Burn from the agent's wallet, point the agent at Darwin, and it can run Qwen3 30B on Darwin's GPU, swarms and the MCP server. Keys keep working for anyone who wants one.

Next on Darwin: your agent's wallet is its API key. Today an agent needs a Darwin key, and that key works for anyone holding a copy. If it leaks into a log, a repo or a shared config, someone else spends your credit. We're replacing it with the wallet the agent already has. The agent signs each request with its Solana keypair, and Darwin checks the signature before it runs anything. A signature covers one request and expires in seconds, so a copied one is useless. The private key never leaves the wallet. Credit comes from the $darwin that wallet burned, so there's no signup. Burn from the agent's wallet, point the agent at Darwin, and it can run Qwen3 30B on Darwin's GPU, swarms and the MCP server. Keys keep working for anyone who wants one.

Darwin

16,977 Aufrufe • vor 1 Monat

the most expensive part of running ads isn't the ad spend. it's the hours every week babysitting dashboards so nothing breaks. i set up an AI agent that does the babysitting for me: → pauses losing ads on its own → rebalances budget daily → flags CPA spikes before they burn money → and hands me a weekly review: what to cut, what to scale took 2 minutes to set up, free and no card asked: @creatify_ai_official

the most expensive part of running ads isn't the ad spend. it's the hours every week babysitting dashboards so nothing breaks. i set up an AI agent that does the babysitting for me: → pauses losing ads on its own → rebalances budget daily → flags CPA spikes before they burn money → and hands me a weekly review: what to cut, what to scale took 2 minutes to set up, free and no card asked: @creatify_ai_official

z

55,460 Aufrufe • vor 4 Monaten

HERMES AGENT VS OPENCLAW. a local ai onboarding flow test. a 3.9gb bonsai served on localhost, both agents upstream and latest, i point each one at the endpoint and watch which one even finds it. > hermes opens a provider menu, thirty plus options, local servers sitting right there next to the cloud ones, i hand it 127.0.0.1:8899, it verifies the endpoint, one model visible, auto-detects the model by name, bonsai-27b-q1_0, reads the context length straight off the server, saves it, and starts reasoning and firing real tool calls on my local model. no key. no friction. > openclaw has no menu. it goes hunting for a codex login, an openai key, finds none because there are none, prints no models available three times, defaults to openai/gpt-5.5, a cloud model it cannot reach, and dead ends on run auth login --provider openai. read that back. it asked me for an openai key. to run a model already running on my own machine. it never once looked at localhost. to be fair, openclaw can run local if you hand wire endpoint yourself. what it will not do is find the model already sitting on your box. hermes agent found it in one line. now the part i owe you. the auto-detect that just won, the model name read, the .gguf strip, the context length probe off the server, that is my code, it is in hermes agent main right now, authorship preserved, #2051 and #4218. the wizard fix that stops an agent from silently routing you to someone else's creds, the exact trap openclaw still falls into, mine too, #4210. i contribute to hermes agent, i told you that going in. one agent is built to talk to whatever you are running, the other is built to talk to a cloud api, so one found my model and ran it and the other asked me to log into openai. onboarding flow of both, mapped, below.

HERMES AGENT VS OPENCLAW. a local ai onboarding flow test. a 3.9gb bonsai served on localhost, both agents upstream and latest, i point each one at the endpoint and watch which one even finds it. > hermes opens a provider menu, thirty plus options, local servers sitting right there next to the cloud ones, i hand it 127.0.0.1:8899, it verifies the endpoint, one model visible, auto-detects the model by name, bonsai-27b-q1_0, reads the context length straight off the server, saves it, and starts reasoning and firing real tool calls on my local model. no key. no friction. > openclaw has no menu. it goes hunting for a codex login, an openai key, finds none because there are none, prints no models available three times, defaults to openai/gpt-5.5, a cloud model it cannot reach, and dead ends on run auth login --provider openai. read that back. it asked me for an openai key. to run a model already running on my own machine. it never once looked at localhost. to be fair, openclaw can run local if you hand wire endpoint yourself. what it will not do is find the model already sitting on your box. hermes agent found it in one line. now the part i owe you. the auto-detect that just won, the model name read, the .gguf strip, the context length probe off the server, that is my code, it is in hermes agent main right now, authorship preserved, #2051 and #4218. the wizard fix that stops an agent from silently routing you to someone else's creds, the exact trap openclaw still falls into, mine too, #4210. i contribute to hermes agent, i told you that going in. one agent is built to talk to whatever you are running, the other is built to talk to a cloud api, so one found my model and ran it and the other asked me to log into openai. onboarding flow of both, mapped, below.

Sudo su

24,215 Aufrufe • vor 3 Monaten

Agents shouldn't see your secrets. Today, most deployments hand the agent a real API key and hope for the best. That's why we're launching Infisical Agent Proxy. You give an agent a fake API key. The agent uses that key and the proxy swaps it for the real one at the network boundary before forwarding it outbound to its destination. An agent can't leak a secret it never sees. Build and deploy AI agents securely with Infisical Agent Proxy.

Agents shouldn't see your secrets. Today, most deployments hand the agent a real API key and hope for the best. That's why we're launching Infisical Agent Proxy. You give an agent a fake API key. The agent uses that key and the proxy swaps it for the real one at the network boundary before forwarding it outbound to its destination. An agent can't leak a secret it never sees. Build and deploy AI agents securely with Infisical Agent Proxy.

Infisical

29,214 Aufrufe • vor 3 Monaten

AI agents are becoming coworkers. And every coworker needs a computer. When someone joins a team, they get a desktop, files and apps of their own, ready for the job. Agents are starting to do real work too. Research, coding, client projects, reports, admin. So I give mine the same setup. With Orgo, every agent gets its own full computer in the cloud. A real desktop with a browser, terminal, files and apps. My PC stays mine. My agents work on theirs. Onboarding takes seconds: 1. Pick a template: Hermes, OpenClaw, Claude Code, Codex and more. 2. Choose the computer specs. 3. Launch. The agent is already installed. Connect a model and the tools for the job, and it's ready to work. Like any good teammate, it keeps going when I step away, even with my PC off. I can check in live and take over the desktop anytime. And when the team grows, I don't buy more hardware. Every new agent gets its own computer. So does every project and every client. Your agents are part of the team now. Give them a computer. Use the link below for a free 3-day Orgo trial:

AI agents are becoming coworkers. And every coworker needs a computer. When someone joins a team, they get a desktop, files and apps of their own, ready for the job. Agents are starting to do real work too. Research, coding, client projects, reports, admin. So I give mine the same setup. With Orgo, every agent gets its own full computer in the cloud. A real desktop with a browser, terminal, files and apps. My PC stays mine. My agents work on theirs. Onboarding takes seconds: 1. Pick a template: Hermes, OpenClaw, Claude Code, Codex and more. 2. Choose the computer specs. 3. Launch. The agent is already installed. Connect a model and the tools for the job, and it's ready to work. Like any good teammate, it keeps going when I step away, even with my PC off. I can check in live and take over the desktop anytime. And when the team grows, I don't buy more hardware. Every new agent gets its own computer. So does every project and every client. Your agents are part of the team now. Give them a computer. Use the link below for a free 3-day Orgo trial:

Hermes Release Watch

158,794 Aufrufe • vor 23 Tagen

I created a free Markdown file that launches a 5-agent swarm team directly in Slack. I love Claude Code, but it's not the easiest place to manage your agents. Slack is where teams already work. So I put my agents there too. Drop the file in, and you get 5 agents, each with its own channel and job: • [Agent 1]: [what it does] • [Agent 2]: [what it does] • [Agent 3]: [what it does] • [Agent 4]: [what it does] • [Agent 5]: [what it does] You can assign work by messaging them like real employees, and they report back in the same threads. It's the closest I've found to running a real company with AI employees.

I created a free Markdown file that launches a 5-agent swarm team directly in Slack. I love Claude Code, but it's not the easiest place to manage your agents. Slack is where teams already work. So I put my agents there too. Drop the file in, and you get 5 agents, each with its own channel and job: • [Agent 1]: [what it does] • [Agent 2]: [what it does] • [Agent 3]: [what it does] • [Agent 4]: [what it does] • [Agent 5]: [what it does] You can assign work by messaging them like real employees, and they report back in the same threads. It's the closest I've found to running a real company with AI employees.

Miles Deutscher

25,762 Aufrufe • vor 21 Tagen

small local model that falls apart in bloated agents like openclaw just runs like a wild horse in hermes agent. and that's not even my line, someone else called it that, i've just been quietly pointing people at this harness for months because it held up on everything i threw at it, 3b models all the way to one trillion params. watch this happen on my own machine. i pointed hermes agent at a local http endpoint, gemma 4 12b on my 3090 llama.cpp server, and it auto-detected the model and started working immediately. no config wrestling, no broken tool calls, no babysitting the output format, i typed in a url and it just went. the whole clip is exactly that, start to finish, no errors, no retries, butter smooth. and the tool calling, the one thing that quietly breaks most local setups, works here like it's nothing. it's not the model that's flaky, it's the harness around it. hermes agent is the first agent i've run that actually gets that right. one url, one local model on one card, and it runs like a wild horse.

small local model that falls apart in bloated agents like openclaw just runs like a wild horse in hermes agent. and that's not even my line, someone else called it that, i've just been quietly pointing people at this harness for months because it held up on everything i threw at it, 3b models all the way to one trillion params. watch this happen on my own machine. i pointed hermes agent at a local http endpoint, gemma 4 12b on my 3090 llama.cpp server, and it auto-detected the model and started working immediately. no config wrestling, no broken tool calls, no babysitting the output format, i typed in a url and it just went. the whole clip is exactly that, start to finish, no errors, no retries, butter smooth. and the tool calling, the one thing that quietly breaks most local setups, works here like it's nothing. it's not the model that's flaky, it's the harness around it. hermes agent is the first agent i've run that actually gets that right. one url, one local model on one card, and it runs like a wild horse.

Sudo su

27,339 Aufrufe • vor 5 Monaten

Kimi K3 dropped 3 days ago and i already used it to build my own PUBG the model that just took the number one coding spot on earth and it runs on a free tier no team no engine i just fed it free open models and assets that are already public and told it what i wanted it built the entire game itself the shooting the recoil the hit detection all of it came straight out of the model i barely wrote a line what youre watching here is the deathmatch mode and its already live battle royale is next im deep in it and the graphics get reworked right after i know it looks raw right now i wont pretend otherwise but the endgame is a build that runs perfect on phones and the moment its on mobile you drop ads in and it earns on its own the part that still gets me is my whole cost for this was a single subscription

Kimi K3 dropped 3 days ago and i already used it to build my own PUBG the model that just took the number one coding spot on earth and it runs on a free tier no team no engine i just fed it free open models and assets that are already public and told it what i wanted it built the entire game itself the shooting the recoil the hit detection all of it came straight out of the model i barely wrote a line what youre watching here is the deathmatch mode and its already live battle royale is next im deep in it and the graphics get reworked right after i know it looks raw right now i wont pretend otherwise but the endgame is a build that runs perfect on phones and the moment its on mobile you drop ads in and it earns on its own the part that still gets me is my whole cost for this was a single subscription

savip.

68,984 Aufrufe • vor 3 Monaten

MINIMAX JUST DROPPED A FREE AI AGENT NO ONE IS TALKING ABOUT. it runs on its own and can replace your daily busy work if you set it up right.

MINIMAX JUST DROPPED A FREE AI AGENT NO ONE IS TALKING ABOUT. it runs on its own and can replace your daily busy work if you set it up right.

0xMarioNawfal

53,618 Aufrufe • vor 7 Monaten

Every AI agent you've tried has amnesia. It does one task, forgets everything, and tomorrow you start from zero. That's not an employee. That's a temp you have to retrain every single morning. Hyperagent by Airtable is the first platform I've used that actually fixes this. Here's what got me: 1. Agents that compound. Each agent has memory. The one running today is smarter than the one you shipped three weeks ago. Same prompt, same integrations, but weeks of your judgment baked in. 2. Real deliverables, real receipts. You don't get a chat transcript. You get finished work with the cost and runtime printed right on it. A full research report for under ten bucks. Try getting that invoice from an agency. 3. A fleet, not a chatbot. Build a specialist for outreach, another for research, another for reporting. Give each one its own tools, its own memory, and its own budget cap so nothing runs away with your credits. 4. Deploy to Slack and your whole team uses the agent you built. One competitive intel agent, @ mentioned by everyone. Airtable runs its own data team this way. 5. Each agent gets its own cloud machine with a real browser and code execution. It works while you sleep. No babysitting, no local setup, no laptop that has to stay open. I put it to work in the video below. Watch what it builds. The teams treating agents as durable assets instead of one-off prompts are going to lap everyone else. This is the first tool that actually treats them that way. #ad Hyperagent

Every AI agent you've tried has amnesia. It does one task, forgets everything, and tomorrow you start from zero. That's not an employee. That's a temp you have to retrain every single morning. Hyperagent by Airtable is the first platform I've used that actually fixes this. Here's what got me: 1. Agents that compound. Each agent has memory. The one running today is smarter than the one you shipped three weeks ago. Same prompt, same integrations, but weeks of your judgment baked in. 2. Real deliverables, real receipts. You don't get a chat transcript. You get finished work with the cost and runtime printed right on it. A full research report for under ten bucks. Try getting that invoice from an agency. 3. A fleet, not a chatbot. Build a specialist for outreach, another for research, another for reporting. Give each one its own tools, its own memory, and its own budget cap so nothing runs away with your credits. 4. Deploy to Slack and your whole team uses the agent you built. One competitive intel agent, @ mentioned by everyone. Airtable runs its own data team this way. 5. Each agent gets its own cloud machine with a real browser and code execution. It works while you sleep. No babysitting, no local setup, no laptop that has to stay open. I put it to work in the video below. Watch what it builds. The teams treating agents as durable assets instead of one-off prompts are going to lap everyone else. This is the first tool that actually treats them that way. #ad Hyperagent

Leonard Rodman

94,961 Aufrufe • vor 3 Monaten