Knowledge Share
Technical articles, tutorials, and insights
Open Source Project #187: Pi — Philosophy-Driven Minimal AI Coding Agent, 86k Stars, 30+ LLM Providers, Unlimited Extensibility
Minimal philosophy-driven AI coding agent harness. 5 npm packages: unified LLM API (30+ providers), agent runtime, TUI library, coding agent CLI, telemetry contracts. Four modes (interactive/print/JSON/RPC/SDK), session branching tree, TypeScript extension system, Skills/Prompt Templates/Pi Packages ecosystem. Deliberately excludes MCP, sub-agents, permission popups, plan mode. TypeScript, MIT, 86k Stars.
Open Source Project #188: AI Agents in Depth — Li Bojie's Complete Open-Source AI Agent Book, 10 Chapters, 95 Experiments, 35k Stars
Li Bojie's fully open-source book 'AI Agents in Depth: Design Principles and Engineering Practice.' Core formula: Agent = LLM + Context + Tools. 10 chapters building progressively: context engineering, user memory and knowledge bases, MCP tool protocol, coding agents, evaluation frameworks, model post-training (SFT/RL), continuous evolution, multimodal interaction, multi-agent collaboration. 95 hands-on experiments, 13 language versions, free PDF/EPUB download. Python, Apache-2.0, 35k Stars.
Open Source Project #176: Better Harness — A Five-Dimension Workflow Evaluator for AI Coding Agents That Reviews the Loop, Not the Diff
QoderAI's open-source tool that converts project and session evidence into prioritized workflow improvements for AI coding agents. Evaluates the workflow around the agent — not final code quality — across five dimensions: task understanding, controlled execution, change validation, reliable delivery, and learning capture. Three independent evidence agents analyze in parallel; a lead agent synthesizes findings into HTML/Markdown/JSON reports. Supports Claude Code, Codex, GitHub Copilot, Cursor, Qwen Code. 1.5k Stars, MIT license.