AON and Unibase AI Join Forces to Advance AI Agents With Memory

AGI Open Network, a famous decentralized platform, has collaborated with Unibase AI, a decentralized memory platform for AI agents. The partnership focuses on improving the way independent AI agents share, recall, and store AI information across diverse platforms. As per AGI Open Network’s official social media announcement, the development attempts to integrate the decentralized AI memory layer of Unibase AIfor more robust, collaborative, and persistent agent behavior. Hence, the collaboration underscores a rising market trend of truly autonomous, interoperable, and composable AI mechanisms.

🥳 We’re excited to announce our partnership with @Unibase_AI!🎯 Unibase is a decentralized AI memory layer that enables agents to retain long-term memory and collaborate across platforms.🤝 Partnership Highlights:🔹 Long-term memory support for autonomous AI Agents🔹… pic.twitter.com/UxFqTxKsq1

— AGI Open Network (@AGIOpenNetwork) January 14, 2026

AON and Unibase AI Collaborate to Bring Long-Term Memory to Autonomous AI Agents

In partnership with Unibase AI, AGI Open Network (AON) aims to accelerate the advancement of autonomous AI agents with long-term memory integration. In this respect, Unibase AI’s decentralized memory layer permits AI agents to efficiently retain contextual memory in the long run instead of depending entirely on isolated sessions or provisional prompts. The respective capability lets agents learn from previous interactions, enhance decision-making, and also maintain continuity across environments and applications.

With this collaboration, AGI Open Network (AON) can deliver memory persistence to its network of different AI agents. As a result of this, builders can develop relatively intelligent agent-based apps that seem context-aware, adaptive, and consistent. Additionally, the collaboration prioritizes cross-network agent interoperability.

This permits AI agents to effectively collaborate and communicate beyond siloed networks. Rather than being caged into one chain or application, agents can seamlessly move between diverse platforms while also retaining identity and memory. This offers unique possibilities when it comes to multi-agent workflows, AI-led services, and decentralized automation. For AON, this goes in line with its objective of establishing a permissionless and open infrastructure for cutting-edge artificial general intelligence.

Duo Shapes Future of AI Agents with Composability, Persistence, and Innovation

According to AGI Open Network, the collaboration with Unibase AI also boosts AI stack composability. This provides ease in the integration of memory, execution layers, and reasoning for builders. Overall, this approach increases experimentation across different decentralized AI utilities and minimizes development friction. Ultimately, this joint move highlights a wider shift toward open AI networks for interoperable, composable, persistent, and smart agents.