Traceable AI

A proactive AI agent for secure, traceable, human-in-the-loop task execution over long-running workflows.

One person, one software company. Manage 47 AI agents from a single Electron app — with Harness Engineering (Skills + Hooks + FileWatchers) for disciplined, traceable AI workflows.

Resumable, traceable AI coding — plans and handoffs stay with the repo, across any host

Privacy-first AI project and Skill feedback loop for Codex and Claude Code—turn corrections into traceable requirements and verified repair plans.

A Windows workbench and native Python Pi harness for Odoo 19: approved business actions, state readback, traceable runs, and ERP-Bench evaluation.

Engineering workflow layer for AI coding tools with specs, review, quality gates, and traceability.为 AI 编程工具提供工程化流程、质量门禁与可追溯能力。

Evidence-grounded AI research workflow for traceable claims, explicit uncertainty, causal-language checks, and reviewable JSON, Markdown, and Excel exports.

Agent harness for codebases. Gives Claude Code, Codex, and CI a shared task system, verdict ledger, and state store so agent work is traceable and auditable.

Evidence-first reading for AI agents — turn articles, books and PDFs into traceable claims, evidence, source locations and knowledge maps.

The open-source AI research workbench for scientific research and agent workflows. Local-first, model-agnostic desktop app with extensible skills, MCP tools and connectors, Python/R execution and traceable artifacts for reproducible research on macOS, Windows and Linux.

AI-native agent harness for coding workflows by python: multi-model LLM orchestration, stateful sessions, tool governance, traceable delivery, and provider routing for GPT, Claude, DeepSeek, Qwen, Kimi, GLM, and MiniMax.