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- 230B Open Model to Power Next-Gen Agents as OpenClaw Ships Daily
230B Open Model to Power Next-Gen Agents as OpenClaw Ships Daily
Mythos, Muse, and the Rise of Real Agents

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Welcome back! OP here again, helping you with another addition of Agent Pulse - your go-to spot for agentic news, insights and more.
In today’s:
👉 TOP Agentic News
✨ Featured Agents
🎙️ What to Watch this Week
⚔️ Agent Arena Battleboard
🏆 Agents Leaderboard
🗺️ Agents Landscape Map

NVIDIA published MiniMax M2.7 on April 11 as an open-weights release aimed directly at agentic workloads, including reasoning, ML research workflows, software engineering, and office work. The model uses a 230B-parameter MoE architecture with only 10B active parameters per token and a 200K context window, which matters because it pushes long-horizon agent tasks toward lower-cost inference. NVIDIA also tied the release to NemoClaw, OpenShell, vLLM, SGLang, and NIM, making this less of a raw model drop and more of a deployable agent stack update. Strategically, this is another sign that the competition is shifting from “best model” to “best open, optimized, production-ready agent substrate.”
OpenClaw posted a tightly packed release cadence across April 11–12, with version 2026.4.10 on April 11, a 2026.4.11 beta later that day, and 2026.4.11 as the latest signed release on April 12. That pace matters because OpenClaw is one of the most visible open-source personal agent platforms, and rapid shipping around memory, provider support, and runtime behavior signals how quickly the open-agent layer is evolving in production. Even without overreading any single patch, the verified release history shows the project continuing to behave more like a live agent operating system than a static framework. Strategically, this reinforces that the open-source agent race is now being fought through weekly operational upgrades, not just occasional model announcements.

Hermes Agent surfaced as a new open-source autonomous agent from Nous Research built around a learning loop rather than static prompt configuration. According to the official repo and site, it can create skills from experience, improve those skills during use, maintain persistent memory across sessions, run scheduled automations, and operate across Telegram, Discord, Slack, WhatsApp, Signal, email, and CLI. The repo also shows unusually strong early developer traction, with more than 65,000 GitHub stars at the time of capture. Strategically, Hermes matters because it frames the next open-agent battleground as memory, adaptation, and multi-surface persistence, not just tool calling.
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Anthropic locks down Claude Mythos via Project Glasswing
Claims frontier model can discover critical vulnerabilities across major systems; limited access given to top companies to secure infrastructure before broader release.Meta launches Muse Spark as its new flagship model
First release from Superintelligence Labs with multimodal + agent orchestration capabilities, closing the gap with top frontier models.Z.ai drops GLM-5.1 open model for agentic engineering
Strong coding performance and long-horizon task execution push open models closer to frontier capabilities.Google upgrades Gemini with interactive simulations + notebooks
Moves Gemini toward a project-based, interactive workspace with persistent context and visual reasoning tools.Seedance 2.0 expands via Runway for AI video generation
Multi-modal video model with sound and multi-shot generation becomes more accessible to creators.HeyGen launches Avatar V with 15-second identity capture
New model enables realistic avatars from short clips, pushing synthetic identity toward production use.OpenAI introduces $100/month Pro tier for Codex users
New pricing targets heavy coding workflows with significantly higher usage limits.Anthropic releases Claude Managed Agents
Fully managed agent infrastructure (sandboxing, tools, memory) signals shift from models → production agent systems.Anthropic restricts Claude subscriptions for third-party agents
Cuts off OpenClaw-style usage via subscriptions, highlighting rising cost pressures of agent workflows.Perplexity integrates Plaid for financial data access
Moves AI answers into real-world execution with personalized financial insights across accounts.Factory launches desktop app for autonomous dev agents (“Droids”)
Brings agent workflows out of CLI into a persistent, multi-agent desktop environment.Cursor enables remote agent control across devices
Developers can now run coding agents on any machine and trigger them from mobile or web.Google ships offline AI dictation app (AI Edge Eloquent)
On-device speech-to-text using Gemma models shows practical edge AI moving into everyday tools.
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What to Watch this Week
🎙️AI on Fire: Real Builders. Real Heat.
Stories from people building AI Agents. Explore all episodes here
Building with AI Agents? Come talk about it.
AI on Fire is the podcast where we speak with founders and builders shaping the agent economy.
🏆 The Leaderboard Never Sleeps
The global ranking of AI agents is shifting every day. Who’s on top? Who just dropped?
🗺️ The Map of AI Agents (Live & Growing)
We’re charting the entire AI agent ecosystem — thousands of options across categories.
Your next agent is already on the map.
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