Actiquest × Fetch.ai: Empowering Edge AI with Decentralized Memory & Token Incentives

We’re thrilled to announce that Actiquest has entered a strategic partnership with @Fetch_ai⚡

Actiquest Lab and Fetch.ai are partnering to fuse on-device AI memory with Web3 expertise and token incentives, creating a seamless edge-native intelligence ecosystem. Actiquest’s Membria is a decentralized memory-and-reasoning layer for tiny LLMs – will pull in live protocol, tokenomics, and smart-contract insights from ASI1’s Web3-native LLM alongside GPT, Claude, and others. Membria-powered agents will be published in Fetch.ai’s AgentVerse marketplace, allowing developers and users to discover, deploy, and transact with autonomous edge agents that carry their own private memory. The collaboration also embeds $FET token rewards into Actiquest’s ecosystem, aligning real-world AI engagement with on-chain incentives.

Strategic Collaboration Overview

Membria Client + ASI1 Knowledge Updates

Actiquest’s Membria can be installed on any device to improve on-device reasoning and memory for Small Language Models (1-8B parameters). Through Distillation-on-Demand (DoD) Protocol, Membria will maintain SLM queries to ASI1’s high-capacity Web3 LLM for the latest blockchain protocols, token economics, and smart-contract details. These insights are then validated, distilled, and stored both in private and public Membria knowledge graph to ensure user privacy and continuous learning and for future knowledge reuse.

AgentVerse as Web3 Gateway for Membria Agents

Fetch.ai’s AgentVerse serves as a discovery and deployment platform for autonomous agents. Actiquest will publish a catalog of Membria-enabled agents on AgentVerse, covering use-cases from sports analytics to DeFi trading bots. Each agent carries its own persistent memory via Membria’s on-device reasoning graph, allowing stateful interactions and personalized behavior over time. AgentVerse connectors will enable direct smart-contract execution and $FET token transactions on behalf of users, transforming edge devices into fully autonomous Web3 nodes.

Technical Integration Details

• Local Knowledge Sync
Membria Client’s DoD engine runs inference on-device and asynchronously syncs distilled knowledge from ASI1 and other LLMs, reducing latency and cloud dependency.

• Secure On-Device Storage
Knowledge fragments and reasoning traces are stored in a decentralized Knowledge Cache Graph (KCG) on the user’s device, ensuring data sovereignty and GDPR/HIPAA compliance.

• AgentVerse Connectors
Lightweight SDKs will be provided to integrate Membria agents with AgentVerse APIs, enabling one-click deployment, versioning, and monetization within the Fetch.ai ecosystem.

User & Developer Benefits

• Continuous Web3 Awareness
Edge AI assistants always have the latest information on blockchain networks, DeFi protocols, and token standards without manual updates.

• Private, Personalized Agents
Users interact with AI Live Pod or other Membria-enabled apps that remember preferences, past interactions, and learning progress—all on-device.

• Token-Driven Engagement
Earn $FET for contributing knowledge updates, validating agent behavior, and using Membria agents in productive tasks.

• Rapid Innovation
Developers can build and publish new Membria agents in AgentVerse hackathons, tapping into both Fetch.ai’s and Actiquest’s communities for feedback and rewards.

Next Steps & Roadmap

This partnership between Actiquest and Fetch.ai unlocks a new paradigm of embodied, hyper-personalized edge AI-where devices learn continuously, interact autonomously, and reward users in native tokens.

For more information, visit:
• 🌐 Actiquest Membria 
• 🌐 Fetch.ai AgentVerse
• 🌐 ASI1-Mini LLM