Search System
Top open-source Search System AI systems, agents, and MCP tools.
Discover and install verified Search System AI systems, autonomous agent skills, and Model Context Protocol servers on AIStoreHub. Reusable, security-scanned, and ready for 1-click execution in Cursor, Claude Code, and terminal workflows.
Available AI Systems & Skills (24)
Open in Advanced FilterFully Autonomous AI Research System with Self-Evolution, built natively on Claude Code
Fully Autonomous AI Research System with Self-Evolution, built natively on Claude Code
EurekAgent: an autonomous research system for metric-driven tasks, built with Claude Code. Define the problem and metric. Get breakthrough results.
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Systematic framework for planning and writing academic papers using Claude Code. Includes strategist (planning) and composer (writing) skills with quality checkpoints.
Poirot is a deep research agent kernel built for those who care about how agents are architected.
Hands-on workshop: Build a multi-agent AI system from scratch — Deep Research Agent + Writing Workflow served as MCP servers. Includes code, slides, and video
🤖 Desktop AI Assistant with Local Model Support - OpenAI SDK compatible agent with memory system, file operations, web search, and modern UI. Supports vLLM, Ollama, Qwen, Llama, and more.
USPTO patent creation system with MCP server + Claude Code plugin. Hybrid RAG search over MPEP/USC/CFR, BigQuery access to 76M+ patents, automated 35 USC 112 compliance checks, prior art search, diagram generation. GPU-accelerated with skills and autonomous agents.
Independent research on Claude Code internals, Claude Agent SDK, and related tooling.
Chat with your Obsidian vault using your own Claude Code or Codex on desktop, or hosted AI. Edit notes with approval modes, transcribe audio and find related notes. Free to start.
Autonomous multi-branch research lab. Branches compete for compute budget. The system converges on what works.
A practical AI agents handbook covering agent systems, agentic workflows, LangGraph, MCP/A2A, context engineering, agent memory, evaluation, observability, and multi-agent architecture. Current trend focus: Gemini Interactions API and managed agents, emerging agent runtimes, and production AI workflow patterns.
Claude Code v2.1.88 source analysis: system prompts, 87 hidden feature flags, cost optimization, architecture diagrams, undercover mode, and comparison with Cursor/Cline. No source code redistributed.
Far Cry 3 Memory Editor Python Script 2026: Modify Health, Money, Ammo and Items
医学论文写作与科研助手:面向中国医生和医学研究生的 32 个 Agent Skills,适用于 Claude Code、Codex,覆盖选题、PubMed 文献检索、中英写作、选刊投稿与审稿修回。Medical writing & research skills.
Neo.mjs is a self-evolving software organism: a professional end-to-end AI engineering team whose cross-model swarm inhabits live apps via Neural Link, Active Hybrid GraphRAG, DreamService, and self-healing loops.
Top Autonomous Research Multi-Agent System for 2026 Lab Experiments
Top Autonomous Research Multi-Agent System for 2026 Lab Experiments
Node.js/TypeScript MCP server for Atlassian Bitbucket. Enables AI systems (LLMs) to interact with workspaces, repositories, and pull requests via tools (list, get, comment, search). Connects AI directly to version control workflows through the standard MCP interface.
🔬 Harness Vibe Research with Self-evolving AI Scientists
AI Agent Orchestrator with Skills System - Give AI Agents superpowers: memory search, code graph queries, agent-to-agent messaging. Manage Claude Code, Codex, Grok Build or any AI Agent from one dashboard. Move Agents between computers and locations
Build & Monetize for Search System
Have you created an autonomous agent, MCP server, or Claude Code skill for Search System? Publish it to AIStoreHub with dual-currency checkout (USD $ + INR ₹) and earn 85–90% net revenue.

