Knowledge Share
Technical articles, tutorials, and insights
Open Source Project #192: shadcn-admin — Vite + shadcn/ui Admin Dashboard Reference Collection, 10+ Pages, RTL Support, Accessibility-First — A UI Reference, Not a Starter Template
satnaing's open-source admin dashboard UI reference collection built on shadcn/ui + Vite + TanStack Router. Includes 10+ pages: Dashboard, Tasks, Users, Chats, Apps, Settings, Help Center. Global search command, light/dark mode, full RTL layout support, Clerk authentication integration. Positioned as a UI reference collection, not a production scaffold. Radix UI foundation ensures accessibility. No Next.js dependency — pure Vite build, lighter and simpler to deploy. 13.9k Stars, MIT.
Open Source Project #193: Semantica — Open-Source Palantir for AI Agents, Knowledge Graph + Deterministic Reasoning + W3C Provenance for Traceable, Auditable, Compliant AI Decisions
semantica-agi's graph-native AI infrastructure layer, positioned as the context and accountability layer for AI agents. Knowledge graph construction (Neo4j/FalkorDB/RDF), deterministic reasoning (Rete/Datalog/SPARQL/forward chaining, no LLM required), W3C PROV-O provenance (every fact traceable to its source), conflict detection and resolution, time-travel snapshots, compliance export (OWL/SHACL/RDF). Not a RAG framework, not a vector database — the explainable decision layer sitting beneath all of them. Integrates with Claude Code, Cursor, Codex, Agno, CrewAI, LangChain, LlamaIndex, and more. 8.2k Stars, MIT.
Open Source Project #194: deepseek-harness — DeepSeek's AI Agent Development Framework, Everything is a Plugin + PTC Programmatic Composition + Full Trajectory Tracing, 137k Stars
DeepSeek AI's agent development framework built on the Cordis plugin architecture — the kernel manages only plugin lifecycle; everything else (tools, backends, UI) is a swappable plugin. Four modes: Standard (full toolchain), PTC (model writes a TypeScript program to compose operations rather than calling tools step-by-step), Minimal (bare bash + editor for benchmarking), Creative (runtime plugin trials). Append-only session logs capture every system prompt, CoT, tool call, and sub-agent dispatch — supports resume/fork/replay. Single-line launch: npx @deepseek-ai/dsh web. 137.1k Stars, MIT.
Code Agent Anatomy (05): How Does the Model Know Which Tools Are Available? How Is Function Calling Implemented?
Follow a tool_call from start to finish: how tools register into the Registry, how the Registry generates function schemas to inform the model, how the Orchestrator batches execution after the model triggers tool_calls, the ToolExecutor's permission/optimistic-lock/circuit-breaker pipeline, why the ToolResult protocol separates internal and external representations, and how observation results are truncated before being written back to history.
Code Agent Anatomy (06): How Do Skills Dynamically Extend an Agent's Capabilities?
A deep dive into the Skills dynamic extension mechanism in MyCodeAgent: how a single Markdown file gives an agent new capabilities without writing any Python code, covering the full lifecycle from definition, scanning, and prompt injection to invocation and execution.
Enterprise Knowledge Base (02): Classic Vector RAG Benchmark — QAnything vs LightRAG
Same 89 questions, two frameworks: QAnything v2 and LightRAG 1.5.6. This article covers the full journey from deployment to results — including Docker GPU mounting, Milvus crash recovery, user_id isolation pitfalls, and the actual numbers across single-hop, multi-hop, and boundary refusal.
Code Agent Anatomy (02): How Does an Agent Think and Act Round by Round?
A deep dive into MyCodeAgent's ReAct main loop: immutable state machine, dual-layer loop structure, three-verdict completion gate, and model error recovery. Understand why an agent isn't just 'call the model once and get a result' — it's a control system with feedback, guarantees, and well-defined termination conditions.
Code Agent Dissected (03): Different LLM Formats — How Does an Agent Unify the Interface?
A deep dive into MyCodeAgent's LLM interface layer: zero-dependency HTTP transport, provider routing table, and five-tuple response normalization. Understand why an agent avoids binding to a single SDK — and how splitting 'sending requests' from 'reading responses' into stable boundaries lets the ReAct loop see only a unified structure.
Code Agent Anatomy (04): How System Prompts Are Assembled, and Where the Agent's 'Personality' Comes From
A deep dive into MyCodeAgent's prompt assembly layer: the four-layer system message architecture — Constitution, Tool Contracts, Project Rules, and Runtime Signals — and how they combine with history projection to form the Model View sent to the LLM. Understanding that agent behavior constraints aren't 'one giant prompt', but a cacheable, fingerprintable, hot-swappable layered assembly.
Open Source Project #190: claude-video — Give Claude Eyes to Watch Videos, One Command to Analyze YouTube/Loom/Local Files, Subtitle-First Zero-Download, Scene-Aware Frame Dedup, Auto Token Budget
Brad Bonanno's Claude Code skill plugin that gives Claude the ability to analyze any video via the /watch command. Seven-step pipeline: yt-dlp download → ffmpeg frame extraction → Whisper transcription → Claude context injection. Subtitle-first optimization (use existing subtitles, skip download entirely), 16×16 thumbnail MAD algorithm for frame deduplication, automatic frame budget scaling by video duration. Four detail modes: transcript/efficient/balanced/token-burner. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and 50+ other agent hosts. 15.2k Stars, MIT.
Open Source Project #191: gstack — YC CEO Garry Tan's Open-Source AI Engineering Team, 23 Expert Role Commands Covering the Full Sprint from Idea to Production
Y Combinator CEO Garry Tan's Claude Code skill set that turns Claude Code into a staffed engineering team. 23 professional role commands covering planning, design, review, testing, and release: /office-hours (YC-style product challenge), /plan-ceo-review, /design-shotgun (4-6 design variants for comparison), /qa (real Playwright browser testing), /cso (OWASP + STRIDE security audit), /ship (sync→test→audit→push→PR). Skills pass context to each other, supports 10-15 concurrent sprints, works across Claude Code/Codex/Cursor and 10 other agents. 128k Stars, MIT.
Code Agent Anatomy (01): What Happens Inside the Agent When a User Types a Message?
A complete trace of a user input flowing through MyCodeAgent, from python main.py to the final response. Covers three phases — CLI entry point, dependency assembly, and the ReAct main loop — to build a mental map for diving deeper into individual modules.