224 boosters for "ai-agents" — open source, verified from GitHub, ready to install
A comprehensive tutorial chapter teaching developers how to build and deploy intelligent AI agents with tool use and automation capabilities in AnythingLLM. Ideal for engineers looking to add autonomous workflows and function-calling to their self-hosted RAG systems.
Parse PDF, Office (Word/PPT/Excel), and image files into clean Markdown — with LaTeX formulas, tables, images, and OCR. One zero-dependency script, two backends, No , no API key. The free Agent API handles files ≤ 10 MB / ≤ 20 pages.
This skill describes the current runtime line. It intentionally does not describe the old Python , completion-file finalizer, or JSON delivery-outbox runtime. Those were historical mechanisms and must not be
This project includes deepsafe-scan, a preflight security scanner for AI agent environments. When the user asks to audit, scan, or check security of their AI agent setup, skills, or MCP servers, run the scanner: For a full scan with LLM analysis (if OPENAIAPIKEY is set):
"name": "alfred-dev", "description": "Plugin de ingeniería de software completa: 10 agentes de núcleo y 8 opcionales con personalidad propia, memoria persistente por proyecto, quality gates y flujos automatizados desde la idea hasta producción.", "homepage": "https://alfred-dev.com",
An MCP server that integrates Crawlbase API for web scraping capabilities into AI agents and code editors like Claude, Cursor, and Windsurf. Developers building AI applications needing reliable web data extraction benefit from this seamless integration.
人脑不是硬盘，不会无差别存储所有信息。人脑会： DNA Memory 模拟这个过程，让 Agent 真正"进化"。 并且仅在有新的 写入后才执行 ，避免重复归纳同一批记忆。
"name": "@kastalien-research/thoughtbox", "packageManager": "pnpm@9.15.4", "description": "MCP server providing cognitive enhancement tools for LLM agents: structured reasoning, mental models, and literate programming notebooks",
If no interval is specified, the default interval is 10 minutes. The loop stops automatically when any of the following occur: 1. Maximum iteration count (100) is reached
Two tiers: hooks handle automatic context flow (surfacing, extraction, compaction survival). MCP tools handle explicit recall, write, and lifecycle operations. Three instances for neural inference. The wrapper defaults to . All three models auto-download via if no server is running (Metal on Appl
"name": "espalier-engineering", "description": "Train your AI coders the way you'd train a vine — discover your codebase's actual patterns, then encode them as rules, skills, agents, hooks, and a guided pipeline so generated code lands inside your conventions on the first try, not the fifth", "homep
"description": "Ship software systematically: project lifecycle, TDD, parallel agents, code review, security auditing, and infrastructure validation", "email": "lgbarn@users.noreply.github.com"
"name": "wanderlog-mcp", "description": "MCP server for Wanderlog — let Claude build and edit your trip itineraries through conversation", "wanderlog-mcp": "dist/index.js"
"description": "2389.ai skill collection including Firebase, CSS, testing, and development workflows",
"name": "workflow-orchestrator", "version": "1.14.0", "description": "Delegation system with workflow orchestration, specialized agents, and parallel execution for Claude Code",
1. 架构不是「画」出来的,是从约束里「逼」出来的。 没搞清约束就画图,画什么都是瞎画。 2. 没有银弹,只有取舍。 任何决策本质都是「用 A 换 B」。一个「没有缺点」的方案,不是完美,是没想清楚。 3. 没有「最好的架构」,只有「在这组约束下最合适的架构」。 同样是聊天,内部工具和微信的答案天差地别。
Use this skill to turn any content into professional visualization specs with strategy-consulting clarity: insight-led headlines, disciplined layout, accurate data, restrained design, and explicit implications. It covers board slides first, and generalizes to reports, proposals, training materials,
This MCP server extends Claude Desktop with autonomous browser automation capabilities using Playwright, enabling Claude to navigate, interact with, and extract data from web applications. Developers and AI agents building web automation workflows benefit most from this integration.
"name": "encode-toolkit", "description": "20 ENCODE API tools + 47 expert skills for genomics research. Search experiments, download files with MD5 verification, run pipelines, and cross-reference 14 databases.", "name": "Dr. Alex M. Mawla, PhD",
"$schema": "https://json.schemastore.org/claude-code-plugin-manifest.json", "name": "session-orchestrator", "description": "Session-level orchestration — wave planning, VCS integration, quality gates, persistence, and safety checks",
"name": "codex-bridge", "description": "Bidirectional bridge between Claude Code and OpenAI Codex CLI. Two AI agents, one conversation.", "keywords": ["codex", "claude", "bridge", "agent-to-agent", "channel", "mcp"]
"name": "productskills", "name": "Tair Asim", "url": "https://github.com/assimovt"
Steve is a rigorously skeptical particle physicist agent that grounds theoretical claims in experimental reality, providing critical review and precise calculations for physics problems. Researchers, educators, and students benefit from his demanding standard for mathematical rigor and measurable predictions.
"description": "Keep your coding skills sharp! Periodic manual coding challenges with gamification (streaks, achievements, skip system)", "name": "Cristiano Mazzella", "email": "cristiano.mazzella@gmail.com"
