Verifiable AI memory infrastructure on 0G. Persistent agent memory, storage indexing, and proof verification for autonomous agents.




Verifiable Agent Memory Vault
Verifiable Agent Memory Vault is a decentralized memory infrastructure layer for autonomous AI agents built during the 0G APAC Hackathon.
The project explores a core problem in modern AI systems.
AI agents can generate outputs and maintain context, but memory itself is often opaque, fragile, and difficult to verify independently.
As agents become more autonomous and begin handling operational, financial, and coordination tasks, verifiable memory becomes critical.
This project introduces a system where agents can:
• Store persistent memory on 0G Storage
• Anchor proof hashes on 0G Chain
• Maintain transparent execution history
• Verify memory provenance independently
• Continue operating while distributed storage indexing propagates
The architecture combines decentralized storage persistence with onchain proof anchoring to create a resilient memory verification workflow.
Core Workflow
1. Create Agent
2. Anchor Memory
3. Verify Proof
Each agent maintains its own memory history and execution logs.
When memory is anchored, the application:
• Generates a content hash
• Uploads memory through 0G Storage
• Anchors proof hashes onchain
• Tracks verification state
• Validates propagation once indexing completes
Infrastructure Design
The system was intentionally designed with fallback-aware architecture.
Distributed storage systems can experience temporary indexing delays. Instead of failing completely during propagation, the product maintains proof continuity while verification finalizes in the background.
This creates a more production-aware experience compared to fragile single-success-state systems.
Technologies Used
• 0G Storage
• 0G Chain
• Solidity
• Next.js
• React
• Node.js
• Ethers.js
Vision
The goal is not simply to create another AI interface.
The goal is to make autonomous agents more trustworthy, auditable, and verifiable through transparent memory infrastructure.
Eventually, it will not be enough for AI agents to claim what they remember.
They will need to prove it.
Development focused on building a working end to end proof flow for autonomous AI agent memory on 0G infrastructure.
During the hackathon, the project progressed from initial architecture design into a live functional MVP capable of:
• Creating agent identities on 0G Chain
• Anchoring memory proofs onchain
• Uploading memory payloads through 0G Storage
• Tracking propagation and verification states
• Maintaining usability during indexing delays through fallback-aware architecture
The frontend interface, verification workflow, proof visualization system, and contract integration were all refined throughout the hackathon iteration process.
Additional effort was placed on simplifying the user experience so both technical and non-technical reviewers could understand the infrastructure flow immediately.
The result is a production aware MVP exploring verifiable memory infrastructure for autonomous AI agents.
Currently self funded and independently developed during the 0G APAC Hackathon.
The project is presently focused on infrastructure validation, product refinement, and real-world proof workflows for autonomous AI agents.
Open to future ecosystem support, infrastructure partnerships, and research collaboration opportunities around verifiable AI memory systems.