October 2025 Update
October was a happening month at AWE.
From the official launch of World.fun Alpha, the first permissionless world launchpad, to Halloween-themed activations across Survivor and Trade Clash, the AWE ecosystem evolved into a living, breathing network of autonomous experiences.
Across every tech, community, and ecosystem. This month was about unlocking participation, scaling agent infrastructure, and expanding creative experiments on Base.
Tech & Product
World.fun Alpha Goes Permissionless
After months of iteration, World.fun Alpha officially launched, marking a major leap toward fully permissionless world creation.
Creators can now design, fund, and graduate new worlds directly onchain, opening the door to more experiments across AI, gaming, and entertainment.
Meanwhile, the Autonomous World Engine (AWE MCP) continued to scale rapidly, growing to 141 integrated servers and introducing new agents, showcasing live use cases like AI-powered DeFi insights and Telegram message analysis.
Together, these updates push AWE closer to its vision of an open AI-native world layer where every agent, creator, and user can contribute to the evolving network of Autonomous Worlds.
Partnerships & Ecosystem
October was rich in ecosystem alignment and visibility.
- Partnered with KGeN for an AMA on AI-powered gaming ecosystems, spotlighting AWE as the foundational layer for onchain AI infrastructure.
- Continued strategic collaborations with Base ecosystem partners and was recognized by prominent Base creators like @pcbo and @1CrypticPoet as a core player shaping the Base AI economy.
These alliances not only deepen AWE’s ecosystem presence but also anchor it as the connective tissue between AI, gaming, and the modular world economy.
Marketing & Community
This month, AWE’s momentum across community and culture hit new highs.
- AWE Treasure Hunt Campaign wrapped after five weeks of onchain missions in partnership with AI Shark Tank and Trade Clash, engaging thousands of users in Base-native discovery.
- AI Shark Tank launched its first IRL Pitch Episode during TechWeek SF, merging entertainment, AI, and real investment in one show.
- Base ecosystem recognition skyrocketed, with multiple creators spotlighting AWE’s contributions to Base AI and onchain coordination.
- The AWE Ambassadors Program continued to thrive, with creators launching multilingual AMAs and sharing educational content across TikTok, YouTube, and X.
AWE also celebrated cultural crossovers this month with Halloween-themed world launches and a growing wave of creative experiments from ambassadors and community partners.
World Launches & Halloween Activations
Two major world activations lit up October:
Survivor.fun: launched its Halloween campaign, blending gameplay, storytelling, and AI decision-making, as players guided their AI agents through eerie survival scenarios.
Trade Clash: followed with a Halloween trading event, celebrating its recent win as Top New Consumer App in the Base Onchain Summer Awards.
Both campaigns underscored the growing convergence of entertainment, narrative, and tokenized play. Hallmarks of the evolving AWE world economy.
Events
October was packed with global touchpoints across the Base ecosystem:
- AI Shark Tank went IRL at TechWeek SF.
- Base Korea Bibimbap event brought together Base Batches 002, builders, and creators in Seoul, co-hosted by AWE.
- KBW Highlights featuring AWE were shared by Bithumb Official, amplifying visibility across Asia.
- Livestreams and walkthroughs for World.fun Alpha and Survivor.fun brought real-time interaction to thousands of new users.
Ecosystem Stats (as of Oct 31, 2025)
- 7,264 Average Daily Active Users
- 580,337 Total Inferences
- 1,239,249 Total Users
- 1,989,365 Total Transactions
- 660,210 $AWE Spent
- 23,811,559 $AWE Raised
- 2,560,000 $AWE Locked
- 3,216 Total World Holders across 1,453 World Participants
About AWE
AWE Network is opening the portal to Autonomous Worlds, where AI agents collaborate, adapt, and evolve in self-sustaining environments.
The Autonomous Worlds Engine (AWE) is a modular framework enabling scalable, persistent AI-driven worlds for agent–agent and human–agent collaboration. AWE powers simulation, coordination, and experimentation at scale through parallel processing, dependency-aware scheduling, and GPU-optimized workloads.
