Popular GitHub Repositories for Calling

? Lobe Chat - an open-source, modern-design AI chat framework. Supports Multi AI Providers( OpenAI / Claude 3 / Gemini / Ollama / DeepSeek / Qwen), Knowledge Base (file upload / knowledge management / RAG ), Multi-Modals (Plugins/Artifacts) and Thinking. One-click FREE deployment of your private ChatGPT/ Claude / DeepSeek application.

Composio equip's your AI agents & LLMs with 100+ high-quality integrations via function calling

✨ 易上手的多平台 LLM 聊天机器人及开发框架 ✨ 平台支持 QQ、QQ频道、Telegram、微信、企微、飞书 | OpenAI、DeepSeek、Gemini、硅基流动、月之暗面、Ollama、OneAPI、Dify 等。附带 WebUI。

All-in-one LLM CLI tool featuring Shell Assistant, Chat-REPL, RAG, AI Tools & Agents, with access to OpenAI, Claude, Gemini, Ollama, Groq, and more.

ACI.dev is the open source platform that connects your AI agents to 600+ tool integrations with multi-tenant auth, granular permissions, and access through direct function calling or a unified MCP server.

Harness LLMs with Multi-Agent Programming

Resource list for generating JSON using LLMs via function calling, tools, CFG. Libraries, Models, Notebooks, etc.

A python chatbot framework with Natural Language Understanding and Artificial Intelligence.

NestJS Helper + AI Chatbot Development

Implementation of Toolformer, Language Models That Can Use Tools, by MetaAI

? Stateful Serverless Framework for Geo-distributed Edge AI Infra. with function calling support, write once, run on any model.

[ICML 2024] LLMCompiler: An LLM Compiler for Parallel Function Calling

Run AI models locally on your machine with node.js bindings for llama.cpp. Enforce a JSON schema on the model output on the generation level

Chat language model that can use tools and interpret the results

Several simple examples for popular neural network toolkits calling custom CUDA operators.

LLM abstractions that aren't obstructions

AI as Workspace - A better AI (LLM) client. Full-featured, lightweight. Support multiple workspaces, plugin system, cross-platform, local first + real-time cloud sync, Artifacts, MCP | 更好的 AI 客户端

HumanLayer enables AI agents to communicate with humans in tool-based and async workflows. Guarantee human oversight of high-stakes function calls with approval workflows across slack, email and more. Bring your LLM and Framework of choice and start giving your AI agents safe access to the world. Agentic Workflows, human in the loop, tool calling

TypeScript Agentic AI Library specialized for LLM Function Calling enhanced by compiler skills.

2025年AI开发实战项目：打造AI恋爱大师和自主规划智能体YuManus！本教程基于Spring Boot 3、Java 21和Spring AI，带你从零构建这两个应用。你将学习AI大模型接入、Spring AI核心特性、Prompt工程与优化、RAG检索增强、向量数据库、Tool Calling工具调用、MCP模型上下文协议、AI Agent开发以及Cursor AI工具等核心技术。掌握这些技能，你将成为AI时代炙手可热的程序员，让你的简历脱颖而出，在求职竞争中占据优势！