AI infrastructure engineer. I build the plumbing that makes AI agents actually work in production — agent frameworks, vector & knowledge-graph memory, MCP tool servers, and local-LLM integration. Mostly Go and Rust.

📍 Chengdu, China · 🌐 Remote · 💬 中文 / English

🟢 Available for freelance / contract work — AI agents, RAG & knowledge graphs, MCP integrations, and LLM-powered automation. If you need an LLM wired into your real systems (not just a chatbot), let's talk → ll_faw@hotmail.com

• harness-rs — a Rust agent framework: ReAct loop, pluggable tools & skills, cross-session recall, a self-evolving learning loop, scheduler, sandbox, and an MCP client/server. Published on crates.io as the harness-rs-* crates.
• agent-go — an AI Agent SDK designed for Go developers (teams, tasks, memory, MCP, tool calling).
• roma — Runtime Orchestrator for Multi-Agents.

• cortexdb ⭐ — a pure-Go, single-file AI memory & knowledge-graph library: vector + hybrid (BM25/FTS5) search, GraphRAG, and one-pass structured-data import. Zero external services, fully embedded.
• askdoc — ask questions over your own documents (RAG).

• mcp-swagger-server — turn any Swagger / OpenAPI spec into ready-to-use MCP tools.
• mcp-websearch-server — multi-engine web search with content extraction.
• mcp-sqlite-server · mcp-snapshot-server

• ollama-go — a Go client library for Ollama.
• lmstudio-go — a Go client for LM Studio: chat, embeddings, tool calling, model management.
• ollama-queue — a high-performance task queue for Ollama models.
• gosible · dispatch — infrastructure & multi-server automation in Go.

Go · Rust · TypeScript / React · LLMs (OpenAI-compatible, Anthropic, Gemini, Ollama, LM Studio) · RAG & vector search · knowledge graphs · MCP (Model Context Protocol) · SQLite

I'm best at taking an LLM from "demo" to "running unattended inside your systems": ingest your data, wire up the tools/APIs it needs (via MCP), and ship an agent that does the work — on a schedule, with guardrails.

📧 ll_faw@hotmail.com · 🐙 github.com/liliang-cn