chebyte

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chebyte

chebyte

@chebyte

A.I & Blockchain Engineer

शामिल हुए Şubat 2008
2.8K फ़ॉलोइंग522 फ़ॉलोवर्स
chebyte
chebyte@chebyte·
Nous Research just dropped Hermes Agent v0.4.0 and I don't think people understand what's happening here. This is an open source AI agent that now connects to basically every messaging platform on earth from a single codebase. Signal, Discord, Telegram, WhatsApp, Matrix, DingTalk, SMS via Twilio, Mattermost, webhooks. But that's not even the real story. The real story is: • OpenAI-compatible API server — expose your agent as /v1/chat/completions and plug it into anything • MCP server management with full OAuth 2.1 PKCE — your agent can authenticate and use external tools securely • GitHub Copilot as an inference provider with 400k context window • Alibaba Cloud, Kilo Code, OpenCode as new providers • Gateway prompt caching that preserves Anthropic cache across conversation turns — massive cost reduction on long conversations • @ context references — inject files and URLs directly into conversations with tab completion • OCR for PDFs, DOCX, XLS, PPTX, images • Speech-to-text via Whisper • IMAP email integration — your agent can read and send emails • 200+ bug fixes in a single release Nous is building the agent layer that every closed platform charges you $50/month for. Except it's open source, it runs on your infrastructure, and it connects to every model provider that exists. The fact that this isn't front page on every tech feed right now tells me most people still don't understand what's coming. The agent wars aren't going to be won by whoever has the best model. They're going to be won by whoever builds the best open infrastructure around them. Nous gets this. And they're shipping faster than anyone. github.com/nousresearch/h…
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Brave
Brave@brave·
Brave just registered a .agent domain! We support the effort to have the .agent top-level domain managed by a community, instead of being owned by one company. Join the community and pre-register your domain here: agentcommunity.org
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Renoise
Renoise@renoiseai·
Launch week special for early supporters — 40% off. Follow @renoiseai + reply "MAKENOISE" and we'll DM you the code.
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GenLayer
GenLayer@GenLayer·
In the next 2 weeks, you can win $5K+ and earn 10-20% of all transaction fees your project generates as a permanent revenue stream. Here is how ↓ portal.genlayer.foundation/#/hackathon/
GenLayer tweet media
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chebyte
chebyte@chebyte·
If you haven't set up an OpenClaw agent yet you are mass adopting the permanent underclass lifestyle. It's free. It's open source. It runs on your laptop. There is no excuse left
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chebyte
chebyte@chebyte·
Unlock the ultimate Claude Code cheat sheet! 🚀 This GitHub repo is your playbook for mastering: - Commands - Sub-Agents - Skills - MCP Servers - Memory - Hooks - Agent Teams Build smarter with Claude—dive in now! 💻🔗 github.com/shanraisshan/c…
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chebyte
chebyte@chebyte·
“Superpowers” is what happens when you stop prompting… and start giving your agents a real workflow. A full dev system built on composable skills + structured instructions so agents actually know how to work. Less guessing. More shipping. This is how coding agents become engineers. Also: it’s the skill I use the most in Claude Code. github.com/obra/superpowe…
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chebyte
chebyte@chebyte·
MPP myths…
Dan Romero@dwr

MPP myths "MPP only works with Tempo" No. It's payment method agnostic — works with crypto and fiat, any chain. It's already been extended to Bitcoin Lightning; there's a draft extension for Solana. "It costs 1.5% to use" No inherent cost to using MPP. Individual payment methods may charge fees, but that's no different than today. Blockchains have different fees. Fiat methods have different fees. "It's less open" MPP launched with 4 payment methods on Day 1: Tempo (stablecoins), Stripe (various payment methods), Visa (cards broadly), and Lightspark (Bitcoin Lightning). Visa and Lightspark were each able to extend MPP in a matter of days. MPP does not have a complicated foundation structure — it's designed to be simple and extensible by anyone. It's also been submitted to the IETF as a web standard. "It's session based vs. pay-per-request" MPP supports both. The most basic version is pay-per-request. Sessions (payment channels) are useful when you want many small payments in succession at the speed of APIs, not blockchains. Fewer API round trips also means MPP is faster in practice. "MPP is specifically designed for Tempo / Stripe" It's designed to be as simple as possible. No complicated facilitator. No assumptions about specific smart wallet implementations, stablecoins, or chains. It separates secure HTTP communication from the payment rail. That's why Visa and Lightspark could extend it so quickly.

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chebyte
chebyte@chebyte·
Insane.. MiniMax just dropped M2.7… and it’s not just another model, it literally helped evolve itself. •88% win-rate vs M2.5 •SWE-Pro: 56.22% •Terminal Bench 2: 57% •3-min incident recovery in prod Trained for real agent workflows: → 97% skill adherence across 40+ skills → On par with Sonnet 4.6 in OpenClaw Also handles multi-turn + real Office editing like a human. We’re entering the era of self-improving agent systems.
MiniMax (official)@MiniMax_AI

Introducing MiniMax-M2.7, our first model which deeply participated in its own evolution, with an 88% win-rate vs M2.5 - Production-Ready SWE: With SOTA performance in SWE-Pro (56.22%) and Terminal Bench 2 (57.0%), M2.7 reduced intervention-to-recovery time for online incidents to 3-min on certain occasions. - Advanced Agentic Abilities: Trained for Agent Teams and tool search tool, with 97% skill adherence across 40+ complex skills. M2.7 is on par with Sonnet 4.6 in OpenClaw. - Professional Workspace: SOTA in professional knowledge, supports multi-turn, high-fidelity Office file editing. MiniMax Agent: agent.minimax.io API: platform.minimax.io Token Plan: platform.minimax.io/subscribe/toke…

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chebyte
chebyte@chebyte·
Project N.O.M.A.D A self-contained, offline survival computer packed with tools, knowledge, and AI. No internet. No dependencies. No excuses. Runs anywhere. Keeps you informed. Keeps you operational. This is what sovereign AI looks like. github.com/Crosstalk-Solu…
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chebyte
chebyte@chebyte·
B25 autolearning unlocked 🤖 Integrated it into my OpenClaw + Hermes agents and now they don’t just execute tasks — they evaluate results, store feedback, and adjust behavior on every loop. B25 is basically a lightweight self-improvement layer: → observe outcome → score performance → update strategy → repeat And the best part — you don’t even need to wire it manually. Just tell your agent: “implement B25 for autolearning” … and it handles the rest. Agents that learn > agents that just run.
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