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References

Reasoning Core References

  • OpenClaw: https://github.com/openclaw/openclaw
  • PicoClaw: https://github.com/sipeed/picoclaw

Use these projects to study agent-loop structure, session handling, prompt/context layering, skill loading, memory boundaries, tool policy, and event logging. TouchPilot should adapt these patterns to a smaller 100% local Android runtime.

Android Control References

  • MobileClaw: https://github.com/MobileClaw/MobileClaw
  • ClawMobile: https://github.com/ClawMobile/ClawMobile

Use these projects to study observe-act loops, screenshot and UI-tree handling, Android action tools, trace capture, workflow replay, and demonstration-to-skill patterns.

UI/Event UX Reference

  • wende/mobileclaw: https://github.com/wende/mobileclaw

Use this project to study mobile chat UX for visible agent work: tool-call cards, running/success/error states, reasoning state, diffs, traces, and event streams.

Local Runtime References

  • LiteRT: https://ai.google.dev/edge/litert
  • ExecuTorch: https://github.com/pytorch/executorch
  • llama.cpp: https://github.com/ggml-org/llama.cpp

Use LiteRT first for compact local routing, classification, ranking, OCR-adjacent models, and other small Android-friendly inference. Keep ExecuTorch and llama.cpp as future local LLM/VLM runtime candidates.

Notes

TouchPilot should borrow patterns, not copy identity. The product direction is a 100% local hybrid Android AI agent: local model reasoning where ambiguity exists, deterministic routing where correctness matters, local skills and workflows for repeatable knowledge, and policy/approvals for safety.