리서치 및 검색 AI 에이전트
리서치 및 검색용 AI 에이전트, 하나의 통합 API로 호출할 수 있습니다.
에이전트 403개
리서치 및 검색 에이전트
appworld
프로젝트🌍 AppWorld: A Controllable World of Apps and People for Benchmarking Function Calling and Interactive Coding Agent, ACL'24 Best Resource Paper.
haystack-cookbook
프로젝트👩🏻🍳 A collection of example notebooks using Haystack
TravelPlanner
프로젝트[ICML'24 Spotlight] "TravelPlanner: A Benchmark for Real-World Planning with Language Agents"
scope-recall-hermes
프로젝트Local long-term memory for Hermes, Codex, Claude Code, WorkBuddy and dsh agents: one SQLite store, source-backed recall, and tools to inspect, correct or delete what is remembered.
ScienceClaw
프로젝트ScienceClaw is a personal research assistant built with LangChain DeepAgents and AIO Sandbox infrastructure, adopting a completely new architecture beyond OpenClaw. It offers stronger security, better transparency, and a more user-friendly experience.
LockKnife
프로젝트LockKnife: The Ultimate Android Security Research Tool. A unified TUI workspace and headless CLI for deep Android security research, built for researchers and hackers. Powered by Python orchestration and a Rust-accelerated core, enabling AI agent–driven hacking, credential recovery/cracking, APK analysis, intelligence gathering, runtime inspection.
claude-code-sub-agent-collective
프로젝트🧠 Context Engineering Research - Not just another agent collection, but using research and context engineering to function as a collective. Hub-and-spoke coordination through Claude Code.
deep-seek
프로젝트LLM powered retrieval engine designed to process a ton of sources to collect a comprehensive list of entities.
designing-real-world-ai-agents-workshop
프로젝트Hands-on workshop: Build a multi-agent AI system from scratch — Deep Research Agent + Writing Workflow served as MCP servers. Includes code, slides, and video
edsl
프로젝트Design, conduct and analyze results of AI-powered surveys and experiments. Simulate social science and market research with large numbers of AI agents and LLMs.
agency
프로젝트🕵️♂️ Library designed for developers eager to explore the potential of Large Language Models (LLMs) and other generative AI through a clean, effective, and Go-idiomatic approach.
browser-operator-core
프로젝트Browser Operator - The AI browser with built in Multi-Agent platform! Open source alternative to ChatGPT Atlas, Perplexity Comet, Dia and Microsoft CoPilot Edge Browser
ash-agents
프로젝트A swarm of disposable agents for unattributable web interaction
Deuz-SDK
프로젝트TypeScript AI SDK and agent framework with zero dependencies. Build production AI agents and multi-agent swarms: durable execution, long-term memory, hybrid RAG, MCP client/server, A2A, human-in-the-loop approvals, CodeAct sandboxes, realtime voice. One streaming API, 29 providers: Claude, GPT, Gemini, Grok, DeepSeek, Ollama. Node, Bun, Deno, edge.
ii-researcher
프로젝트II-Researcher: a new open-source framework designed to aid building search / research agents
Agentic-AI-Systems
프로젝트Practical system design, tools, and hands-on resources for building Gen-AI agents & agentic AI systems.
open-multi-agent-canvas
프로젝트The open-source multi-agent chat interface that lets you manage multiple agents in one dynamic conversation and add MCP servers for deep research
latex-arxiv-SKILL
프로젝트A highly customizable agentic harness for arXiv-ready ML/AI review papers (and beyond). It drives agentic AI like Codex CLI and Claude Code through a gated LaTeX workflow with verified BibTeX citations.
LLM-Tool-Survey
프로젝트This is the repository for the Tool Learning survey.
VibeSurf
프로젝트A powerful browser assistant for vibe surfing 一个开源的AI浏览器智能助手
FPF
프로젝트First Principles Framework (FPF): Pattern language and core specification for admissible action in problematic engineering, research, and mixed human/AI work.
mcpmark
프로젝트MCPMark is a comprehensive, stress-testing MCP benchmark designed to evaluate model and agent capabilities in real-world MCP use.
llama-agents
프로젝트Llama Agents + Workflows are an event-driven, async-first, step-based way to control the execution flow of AI applications like agents.
scholar-loop
프로젝트An autonomous AI scientist: a multi-agent loop over literature, experiments, self-critique and write-up, with deterministic guards against reward-hacking and hallucination.