Designing, evaluating, and shipping autonomous AI agents.
7613 posts
MCP-first browser primitives for AI agents — real eyes and hands on the web. Local-first. Vendor-agnostic.
AI-native micro issue manager for multi-agent LLM development. Hierarchical task decomposition with context chains, safety-critical standard...
AI 应用开发、AI 编程实战与面试指南，涵盖 LLM、Agent、RAG、MCP、Claude Code、Codex 等核心技术与工程实践。
Write your page once — AHTML emits MCP, OpenAPI, JSON-LD & llms.txt for AI agents from your existing Next.js, Vite or SvelteKit app. Zero mi...
그누보드7
OpenClaw-inspired autonomous AI agent built entirely in n8n. Adaptive RAG-powered memory, Skills via MCP templates, Expert Agents with deleg...
Benchmark, evaluate, and optimize skills to ensure reliable performance across all LLMs
穷理证澈 Academic Research Skills: Plan the work, search the literature, draft and review manuscripts, run research code, and keep the evide...
Open-source SkillOps / instruction-supply-chain control plane for AI-agent teams: policy packs, registry diff, evidence bundles, SARIF/SBOM,...
MCP server for consulting-quality PowerPoint slides. Remote — no install required.
Open, real-time, fully-sourced intelligence on AI startups — MCP-native, zero-cost. A free PitchBook alternative your AI agent can read.
AI-native, agent-first web scraping for Python. Cost-aware tiered fetching (HTTP, browser, stealth, agent), model-agnostic LLM extraction wi...
