AgenticBook

ToolLLM

arxiv.org

Research framework and dataset for teaching LLMs to use 16,000+ real-world REST APIs via tool calling. Introduces the DFSDT algorithm for efficient API exploration and a benchmark for measuring tool-use proficiency.

ResearchPaperTool Use

More in Agent Community, Directories & Research

LangChain TemplatesDirectories & Marketplaces

Official collection of reference applications and production-ready LangChain templates. Covers RAG, extraction, chatbots, agents, and more — each deployable with a single command. The fastest way to bootstrap a production LangChain application.

LangChainTemplatesReference
DifyDirectories & Marketplaces

Open-source LLM application development platform that combines BaaS and LLMOps. Provides a visual workflow builder, RAG pipeline, agent framework, and model management in one product. One of the fastest-growing open-source AI application platforms.

Open SourcePlatformVisual
OpenAI GPT StoreAgent Aggregators & Visual Tools

OpenAI's official marketplace for custom ChatGPT agents (GPTs). Browse thousands of community-built specialized agents for coding, research, creative writing, and analysis — or publish your own GPT to reach millions of ChatGPT users without building a standalone product.

MarketplaceOpenAINo-Code
Superagent HubDirectories & Marketplaces

Community hub for sharing and discovering Superagent-based AI assistants and agent configurations. Browse pre-built agents for sales, support, and research use cases. Fork and deploy community agents directly to the Superagent cloud.

CommunityTemplatesHub
Hugging Face AgentsDirectories & Marketplaces

Transformers Agents is a multi-modal agent API built into the Hugging Face ecosystem. Provides a natural language interface for calling 100,000+ HF models as tools. Integrates with the Hub model, dataset, and Space ecosystem for end-to-end AI agent workflows.

PythonHuggingFaceMultimodal
AgentBenchResearch & Foundational Papers

Comprehensive benchmark for evaluating LLM-based agents across 8 distinct environments including code, databases, web browsing, and games. Reveals major performance gaps between open and closed models on real-world agentic tasks. The de-facto standard for comparing agent capabilities.

ResearchBenchmarkPaper