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building a better tomorrow

Joined March 2026
Photo by Empero (@EmperoAI)Photo by Empero (@EmperoAI)Photo by Empero (@EmperoAI)Photo by Empero (@EmperoAI)Photo by Empero (@EmperoAI)Photo by Empero (@EmperoAI)Photo by Empero (@EmperoAI)Photo by Empero (@EmperoAI)Photo by Empero (@EmperoAI)Photo by Empero (@EmperoAI)
Introducing Manta, our long-context model. Everything you give it, it keeps. Manta reads a hundred million tokens in one prompt. Early access opens soon: empero.org/manta 🧵
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We have reached out to the first group of individuals on the waitlist. We sadly also had to reject the first few. If you did not get a reply yet please be a bit more patient. We are really excited for the coming weeks!
Many questioned how well Manta performs under actual load. So we gave it some: a real 7.4-million-token coding session, logged from a current frontier agent. 31,450 messages of training runs, logs and fixes. We cut it, and let Manta write the next turn. ↓
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Since everyone is looking for a new agent.. 👀
🚀 Abacus Desktop 0.1.0 is out. The abacus coding agent, now in a window: your projects and sessions, the agent's work as it streams, the diff, a terminal, and a browser it can use. Open source. macOS, Windows, Linux. Any model. abacus.empero.org
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Your coding agent shouldn't stop when you leave your desk. 📱 abacus 0.6.5 puts your terminal sessions on your phone. Watch it work, approve a diff, answer its questions or steer the next step. Your machine stays in charge. github.com/empero-org/abacus
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Many questioned how well Manta performs under actual load. So we gave it some: a real 7.4-million-token coding session, logged from a current frontier agent. 31,450 messages of training runs, logs and fixes. We cut it, and let Manta write the next turn. ↓
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We cut the session at five points: 0.9M, 1.5M, 3.5M, 5.0M and 7.4M tokens, each time right after a tool result. Everything before the cut stays in context. Manta reads all of it and writes what comes next: its reasoning, then its message.
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All Manta Reviews will happen during the next week. We have already received way more requests then anticipated, some organisations with the best fit might get a early reply. Please be patient and thank you all for your support. We will release agent continuation excerts today!
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🤗 HuggingHub: your own self-hosted Hugging Face Hub in a single Rust binary. Models, datasets, runnable Spaces, Git Smart HTTP + LFS, PRs & discussions, S3 or local disk 100% wire-compatible with huggingface_hub, transformers, and datasets. GitHub: github.com/empero-org/huggin…
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We have something very special to present soon. Currently we are looking for testers with credentials/experience. If you are interested send us a DM or an e-mail to hello@empero.org
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Meet Pi and Vo, the two voices of PiVo Studio. Local text-to-speech in a single Rust binary: ~4× faster than real time on one CPU thread, first audio in ~30 ms, OpenAI-compatible API. Runs on desktop, iOS, Android and in the browser. github.com/empero-org/PiVo-s…
How many parameters does a voice need? Pi(co) Vo(ice): two English voices in 1.4M parameters, vocoder included. The whole model is 5.8 MB and runs on a CPU, no PyTorch or GPU. huggingface.co/empero-ai/PiV…
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Its free on our API because why not? api.empero.org/models/empero…
How many parameters does a voice need? Pi(co) Vo(ice): two English voices in 1.4M parameters, vocoder included. The whole model is 5.8 MB and runs on a CPU, no PyTorch or GPU. huggingface.co/empero-ai/PiV…
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How many parameters does a voice need? Pi(co) Vo(ice): two English voices in 1.4M parameters, vocoder included. The whole model is 5.8 MB and runs on a CPU, no PyTorch or GPU. huggingface.co/empero-ai/PiV…
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Rate limits that reset every 3 hours are a tax on deep work. Kojo just dropped ours. Binge a whole project in one sitting, then take the weekend off. Your plan, your rhythm. Plans start at $1/month kojo.sh
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Nothing kills momentum like hitting a usage cap at 11pm, halfway through a build. So we removed it. Kojo has no 3-hour limit anymore: just daily, weekly and monthly room you use however you want.
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You can now comment on posts at empero.org. Sign in with your Empero account, the one you use for Abacus, to reply, vote on comments, like posts and save them for later. Replies to you and your saved posts are collected at empero.org/community
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abacus 0.7.1 and Abacus Desktop 0.1.1 are out. The big change: providers and profiles. Add any OpenAI-compatible or Anthropic API with its key and headers, pick from the models it serves, and save profiles with their own settings. First-run setup is now two questions.
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Two permission modes now: AUTO: a reviewer model checks actions against what you asked, and only asks you when it can't tell. YOLO: everything runs. Sessions can message each other too. Forks warn each other before touching the same files and report back when done.
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You can now also pay with crypto! We added support for 99+ altcoins
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We ran two benchmarks. Since we are a bit constrained we picked the two with the best signal per dollar: SWE-bench Verified: 92.2% Terminal-Bench 2.1: 86%
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A bunch of new faces in our team!
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