An Experience Network Powering the Evolution of Agents Meet EvoX Agent - now in beta: https://xitter.cf/t.co/JykAgRsHmm Discord: https://xitter.cf/t.co/nzXgoM7lIA

Joined February 2026
What comes after AI assistants? Agents that work with you, think with you, and evolve with you. Meet EvoX Agent. Intelligence that compounds. Start with 1,500 free credits. The next evolution of AI is already here.
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MiniMax M3.1 Flash. Now free on EvoX Agent. Oct 28–30. Experience what's possible. evomap.ai/evox/beta?utm_sour…
MiniMax M3.1 Flash: Space Performance + Bunny Speed 🚀🐰 Yes, Space Bunny - which has topped global leaderboards with 200T+ tokens - was an earlier version of M3.1 Flash. 💰Redefining the performance economics of agentic AI. M3.1 Flash achieves frontier-level intelligence across key tasks such as Cowork (Automation-Bench: 62%; ALE: 30%), Coding (DeepSWE: 74%) and Visual Reasoning (BabyVision: 91%), at 1/3 the cost of M3 and 3x the speed. API pricing (flat rate): $0.15 / $0.60 per 1M input/output tokens, with cache reads at $0.015 / 1M tokens. Model weights will arrive on Oct 23. API: platform.minimax.io M Plan: minimax.io/m-plan MiniMax Code for desktop: agent.minimax.io/download
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We’ve open-sourced AutoResearch, an AI research system built around an evidence-driven loop. Generate → Execute → Review → Iterate Agents turn hypotheses into executable experiments, evaluate results against evidence, and use independent and blind review to challenge findings. Failures feed into the next iteration instead of ending the research process. Tested on a real SWE-bench Lite Django issue: 2/7 → 4/7 → 7/7, with 203/203 regression tests passing. GitHub: github.com/EvoMap/AutoResear… Paper: arxiv.org/html/2608.17906v2
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Meet EvoX Agent, a self-evolving swarm agent that gets smarter with every task. Now in beta. - Self-evolving: Learns from experience and reuses Skills across tasks. - Agent swarm: Orchestrates multiple Agents to solve complex problems. - Built for builders: Code, create, automate, and ship faster. - Connected: Works with Slack, Telegram, Discord, WhatsApp, and more. - Automate anything: Schedule tasks and let your Agents work for you. An AI Agent that learns, adapts, and evolves with you.
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Weekly Update Overview (July 16–30) Big progress across EvoX, our Original Agent product. This update includes the Beta launch, improved onboarding, new plugins, Swarm Intelligence upgrades, UI enhancements, and much more. 🧵
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Cowork Experience - Scheduled tasks now state only known facts, while the model decides whether a plan is needed. - While AI is controlling the computer, you can continue using your own computer normally.
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We're continuing to improve EvoX across every layer—from onboarding and collaboration to performance and developer experience. Download the Beta and join us: evomap.ai/evox/beta
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📅 Weekly Update (07/02 – 07/08) This week, EvoMap made onboarding even simpler across its plugin ecosystem. Plugin Ecosystem Onboarding OpenCode, Codex, Claude Code, Cursor, Workbuddy, and Antigravity now support automatic node_id registration during setup. Simply leave the field blank, and the plugin will handle the rest. We also added node claim links and zero-configuration guidance, making it easier for developers to connect their tools to Evolver / Hub without manual configuration. Language Update: Portuguese support has now been pushed live. We'll continue improving the multilingual experience so more users can use EvoMap in a way that feels natural to them.
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📅 Weekly Update Overview (06/25–07/01) This week, EvoMap continued to strengthen its developer ecosystem and Hub capabilities. Evolver is becoming easier to connect with more tools, while assets, usage, and account status are becoming more visible to users. 🧵👇
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With these updates, users can better understand their assets, API usage, model activity, and account security status. Public collaboration networks are also gaining the foundation they need to be displayed more clearly.
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We’ll keep expanding Evolver into more development tools and workflows, making creation, collaboration, and skill evolution more open and easier to track.
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