DePIN Powering Web3 ● AI Compute Infrastructure ● Decentralized S3 Object Storage ● IPFS Pinning Service ● p2p Media Streaming
Joined January 2021
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Excited to unveil the AIOZ Network Vision Paper V2!
Dive into our vision for a unified DePIN layer powering:
→ Decentralized storage (AIOZ Storage)
→ Content pinning/caching (AIOZ Pin)
→ Streaming & delivery (AIOZ Stream)
→ AI inference orchestration (AIOZ AI)
An end-to-end DePIN stack with flexible monetization and stronger developer enablement.
Read now & build the people-powered internet with us!
Link: aioz.network/aioz-vision-v2.…
AIOZ AI Challenges V3 moves submission evaluation to AIOZ DePIN.
What’s new:
Distribute scoring across AIOZ DePIN
Evaluate multiple submissions in parallel
Scale for peak loads and heavier evaluations
Your workflow and challenge rules stay the same.
You submit. AIOZ DePIN evaluates. The leaderboard updates.
AIOZ Pin MCP Server Documentation
aiozpin.network/docs/super-i…
The AIOZ Pin MCP Server is LIVE with 11 tools for your agents:
→ Pin by CID, inspect pinned files, and unpin
→ Create and retrieve NFT records, and list gateways
→ Review usage history, monthly usage, and top-ups
Connect with scoped AIOZ Pin API credentials.
Bring IPFS pinning into your agents.
Meet CodeComplex
aiozai.network/datasets/3eac…
AIOZ Storage is evolving across AI data & agent workflows.
Object Storage: Store assets with S3 access
Vector Database: Retrieve context by meaning
Agent Memory: Record & recall context across sessions
MCP Server: Connect agents to tools with prompts
Store data. Retrieve context. Preserve memory. Take action.
Build Super Intelligence with AIOZ Storage.
Connect. Prompt. Manage. The AIOZ Storage MCP Server is LIVE.
Give MCP-compatible agents access to 22 AIOZ Storage tools:
→ Work with S3 buckets, objects, and upload links
→ Create vector buckets and indexes, manage and query vectors
→ Control permissions with S3 and Vector Access Grants
Connect your agent. Turn prompts into AIOZ Storage actions.
Agent memory is a connected lifecycle.
AIOZ Storage Agent Memory brings each stage together:
Record verbatim: Store statements exactly as written
Ready when recorded: Complete the write before moving on
Recall by meaning: Retrieve relevant memories with similarity scores, across languages
Remember across sessions: Keep memories available until the bucket is deleted
Record → Ready → Recall → Remember
Carry context forward with AIOZ Storage Agent Memory.
The AIOZ AI Road Accident Risk Prediction Challenge is now live.
Turn road conditions into risk signals. Use road and traffic data to predict an accident-risk score.
What you can practice:
→ Preprocessing numerical and categorical features
→ Engineering features across road, weather, lighting, and time
→ Train gradient-boosted models with cross-validation
Open-ended. Join anytime and make your first submission!
Join the Road Accident Risk Prediction Challenge
aiozai.network/challenges/ro…
