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🎯
Building structure for reliable intelligence
🎯
Building structure for reliable intelligence
534 followers · 242 following

Sponsors

@wey-gu

Achievements

Achievement: Pull Sharkx4Achievement: Pair Extraordinairex3Achievement: YOLOAchievement: QuickdrawAchievement: Public Sponsor

Achievements

Achievement: Pull Sharkx4Achievement: Pair Extraordinairex3Achievement: YOLOAchievement: QuickdrawAchievement: Public Sponsor

Highlights

  • Pro

Organizations

@apache @rust-osdev @arrow-udf @agentclientprotocol

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psiace/README.md

Hi, I'm PsiACE 👋

AI needs structure. I build it.

I work on the structure layer beneath AI systems: data, context, capability, memory, and ecosystem, so intelligence becomes reliable, observable, and reusable.

What I work on

  • Data systems & execution/storage foundations
  • Unified abstraction layer
  • Structured context for AI
  • Capability protocols & SDKs
  • Open-source governance & ecosystem structure

Current focus

  • Senior Engineer @ OceanBase - open-source and ecosystem engineering for a production-grade database system
  • PMC Member @ Apache OpenDAL

Selected projects

Structure first. Then intelligence.

Pinned Loading

  1. run-llama/llama_index run-llama/llama_index Public

    LlamaIndex is the leading framework for building LLM-powered agents over your data.

    Python 46k 6.7k

  2. agentclientprotocol/python-sdk agentclientprotocol/python-sdk Public

    Python SDK for ACP clients and agents.

    Python 105 7

  3. apache/opendal apache/opendal Public

    Apache OpenDAL: One Layer, All Storage.

    Rust 4.8k 699

  4. crabml/crabml crabml/crabml Public

    a fast cross platform AI inference engine 🤖 using Rust 🦀 and WebGPU 🎮

    Rust 465 43

  5. databendlabs/databend databendlabs/databend Public

    One Warehouse for Analytics, Search, AI. Snowflake + Elasticsearch + Vector DB — rebuilt from scratch. Unified architecture on your S3.

    Rust 9.1k 843

  6. apache/datafusion apache/datafusion Public

    Apache DataFusion SQL Query Engine

    Rust 8.2k 1.8k