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, access and store AI information across platforms. According to AGI Open Network’s official social media announcement, the development seeks to integrate Unibase AI’s decentralized AI memory layer for more robust, collaborative and persistent agent behavior. Therefore, the collaboration underlines 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 allows agents to maintain 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 are working together to bring long-term memory to autonomous AI agents
In collaboration with Unibase AI, AGI Open Network (AON) aims to accelerate the advancement of autonomous AI agents with long-term memory integration. In this regard, Unibase AI’s decentralized memory layer allows AI agents to efficiently maintain contextual memory in the long term rather than relying entirely on isolated sessions or preliminary cues. The capability in question allows agents to learn from previous interactions, improve decision-making, and also maintain continuity between environments and applications.
With this collaboration, AGI Open Network (AON) can deliver memory persistence to its network of diverse AI agents. As a result, builders can develop relatively intelligent agent-based apps that appear context-aware, adaptive, and consistent. Furthermore, the collaboration prioritizes interoperability between network agents.
This allows AI agents to collaborate and communicate effectively across siled networks. Instead of being locked into one chain or application, agents can move seamlessly between different platforms while also retaining their identity and memory. This offers unique opportunities when it comes to multi-agent workflows, AI-driven services and decentralized automation. For AON, this is in line with its objective to establish a permissionless and open infrastructure for advanced artificial general intelligence.
Duo is shaping the future of AI agents with composability, perseverance and innovation
According to AGI Open Network, the collaboration with Unibase AI also increases the composability of the AI stack. This provides ease of integration of memory, execution layers, and reasoning for builders. Overall, this approach increases experimentation with various decentralized AI tools and minimizes development friction. Ultimately, this joint move highlights a broader shift toward open AI networks for interoperable, composable, persistent, and smart agents.