I contribute upstream fixes to OpenViking, Microsoft Agent Framework and Tencent ncnn, focusing on agent memory, workflow recovery and inference correctness.
42 merged PRs across 9 upstream projects · 36 merges in my three core projects
Explore merged contributions · Website
- OpenViking — 15 merged PRs. Memory and retrieval integrations, MCP streams, transport errors and context handling.
- Microsoft Agent Framework — 15 merged PRs. Conversation persistence, human-in-the-loop recovery and declarative workflow correctness.
- Tencent ncnn — 6 merged PRs. Numerical correctness, portability and Python bindings.
- Agent integration: Parse CR-delimited MCP event streams and preserve response-body transport failures.
- Workflow recovery: Persist HITL user text in thread snapshots and honor BreakLoop in declarative workflows.
- Inference correctness: Fix even-sized LRN channel windows and retain Python custom-layer factories for their required lifetime.
My contribution loop: reproduce the failure → preserve normal behavior → add a focused regression → close the review loop.
Other merged work spans TensorLy, PydanticAI, Qdrant Client, sklearn-onnx, RapidOCR and pyts.
handoff-pack — turn chat messages[] into a paste-ready handoff pack.
Open to upstream collaboration and engineering opportunities around agent infrastructure, memory systems and model tooling.
Public contribution snapshot: October 14, 2026. The headline counts merges into repositories owned by others that are not forks; personal repositories and external forks are excluded.