Agent Memory · Workflow Recovery · Inference Correctness
My projects · Merged upstream contributions · X / Twitter · Personal website
I contribute upstream fixes to OpenViking, Microsoft Agent Framework and Tencent ncnn, working across agent integrations, recoverable workflows and inference runtimes.
67 verified merged AI-ecosystem upstream PRs · 19 upstream projects · 47 merges across OpenViking, Microsoft Agent Framework and Tencent ncnn.
59 authored PRs + 8 additional coauthored PRs, deduplicated by upstream repository and PR number.
From persistent agent memory and recoverable workflows to inference edge cases, I contribute focused fixes that make AI systems more dependable—and work with upstream reviewers to get them landed.
- OpenViking — 20 merged PRs. Agent memory and retrieval integrations, MCP streams, transport handling and OpenWebUI compatibility.
- Microsoft Agent Framework — 18 merged PRs. Conversation persistence, human-in-the-loop recovery and declarative workflow correctness.
- Tencent ncnn — 9 merged PRs. Inference correctness, portability and Python binding lifetimes.
- Agent integrations: Handle CR-delimited MCP event streams and support bracketed IPv6 bind addresses in the OpenWebUI integration.
- Durable workflows: Persist HITL user text in thread snapshots and honor BreakLoop in declarative workflows.
- Inference runtimes: Correct even-sized LRN channel windows and retain Python custom-layer factories for their required lifetime.
- Python infrastructure: Reject readonly buffers before consuming buffered data in fsspec and preserve defaultdict batch conversion in PyTorch Ignite.
- Numerical stability: Prevent overflow when summing probability-selection fitness in PyGAD.
My contribution loop: reproduce the failure → preserve normal behavior → add a focused regression → close the review loop.
Further merged work includes TensorLy, PydanticAI, Qdrant Client, sklearn-onnx, RapidOCR, pyts, scikit-lego and Patsy.
- AIFlowHub — my independent continuation of Flowise, focused on skill-driven workflow generation, cloud/local LLM integration and quota, cost and evaluation tooling.
- handoff-pack — a CLI that turns agent conversation messages into a compact handoff pack for the next model or session.
Based in Shenzhen, China. Open to upstream collaboration around AI agents, memory systems, inference tooling and infrastructure reliability.
Verified baseline: October 20, 2026, 09:22 UTC+8; latest integration addition verified at 16:57 UTC+8. Counts cover merged PRs in external, non-fork AI-ecosystem upstream repositories, including verifiable coauthorship; each upstream PR is counted once. Personal repositories, forks and pending AI classifications are excluded. Coauthor discovery is evidence-based and not claimed globally exhaustive.