cpp-langchain is an open-source C++ framework that empowers developers to create AI agents by chaining LLM calls, managing conversation memory, integrating external tools, and handling prompt templates. It supports embeddings for vector stores, agent simulations, and customizable chains. With native C++ performance and type safety, it enables building efficient production-grade AI applications without Python dependencies.
AI Platforms & Frameworks
Coding Assistance
Tool Libraries
#C++ AI library
#LangChain-Integration
#Large Language Models
#API wrappers
#prompt template manager
#agent orchestration
#memory management
#vector databases
#similarity search
#native performance
#low latency
#CMake support
#modular design
#customizable workflows
#conversational AI
#ease of use
#cross-platform compatibility
#embedding tools
#dependency-free
#header-only library
...
Promote this Tool
Update this Tool
cpp-langchain
cpp-langchain is an open-source C++ framework that empowers developers to create AI agents by chaining LLM calls, managing conversation memory, integrating external tools, and handling prompt templates. It supports embeddings for vector stores, agent simulations, and customizable chains. With native C++ performance and type safety, it enables building efficient production-grade AI applications without Python dependencies.
AI Platforms & Frameworks
Coding Assistance
Tool Libraries
#C++ AI library
#LangChain-Integration
#Large Language Models
#API wrappers
#prompt template manager
#agent orchestration
#memory management
#vector databases
#similarity search
#native performance
#low latency
#CMake support
#modular design
#customizable workflows
#conversational AI
#ease of use
#cross-platform compatibility
#embedding tools
#dependency-free
#header-only library
...
Featured
What is cpp-langchain?
cpp-langchain implements core features from the LangChain ecosystem in C++. Developers can wrap calls to large language models, define prompt templates, assemble chains, and orchestrate agents that call external tools or APIs. It includes memory modules for maintaining conversational state, embeddings support for similarity search, and vector database integrations. The modular design lets you customize each component—LLM clients, prompt strategies, memory backends, and toolkits—to suit specific use cases. By providing a header-only library and CMake support, cpp-langchain simplifies compiling native AI applications across Windows, Linux, and macOS platforms without requiring Python runtimes.
Who will use cpp-langchain?
- C++ developers
- AI researchers
- Software engineers building LLM applications
- Game developers integrating AI agents
How to use the cpp-langchain?
- Step1: Clone the repository from GitHub and install dependencies via CMake.
- Step2: Configure your LLM provider API keys or local model endpoints.
- Step3: Include cpp-langchain headers and code in your C++ project.
- Step4: Define prompt templates and initialize an LLM wrapper instance.
- Step5: Assemble chains or agent objects, adding memory and tool integrations.
- Step6: Build and run your application to execute chained LLM calls and agent workflows.
Platform
- mac
- windows
- linux
cpp-langchain's Core Features & Benefits
The Core Features
- LLM wrappers for API and local models
- Prompt template management
- Chain assembly and orchestration
- Agent frameworks with tool calling
- Memory modules for conversational state
- Embedding generation and vector stores
The Benefits
- Native C++ performance and low latency
- Header-only library with CMake support
- Type-safe and dependency-free design
- Easily integrates with existing C++ codebases
- Customizable modules for specialized workflows
cpp-langchain's Main Use Cases & Applications
- Creating conversational chatbots in C++ applications
- Automating documentation or code review with AI agents
- Implementing NPC dialogue systems in games
- Building AI-powered data processing pipelines
- Prototyping LLM-based research tools
FAQs of cpp-langchain
cpp-langchain Company Information
cpp-langchain Reviews
5/5
cpp-langchain's Main Competitors and alternatives?
- LangChain (Python)
- LlamaIndex
- Haystack
- MetaToolKit
- Vertex AI SDK
You may also like:
AI design agent automates workflow creating images, videos, 3D models up to 10x faster.
AI-driven chatbot for top OnlyFans creators.
Aixbt is a tokenized AI Agent optimizing revenue across applications.
theGist AI Workspace unifies work apps with AI for improved productivity.
Generate brand visuals and copy using AI to boost e-commerce sales.
GPTConsole is an AI agent designed for streamlined conversation and task automation.
GenSphere is an AI agent that automates data analysis and provides insights for informed decision-making.
Nullify automates the entire AppSec program for security teams using AI-driven solutions.
Flowith is a canvas-based agentic workspace which offers free 🍌Nano Banana Pro and other effective models...
Langbase is an AI agent that generates and analyzes natural language content efficiently.
AiTerm: AI Terminal Assistant converting natural language to commands.
Generate intriguing facts effortlessly with our AI-powered tool.
Automate your job applications and find the perfect job with AI technology.
Intellika AI enables seamless automation of data analysis and reporting for businesses.
ScholarRoll helps students find and apply for scholarships easily.
OneReach AI simplifies interactions by automating customer engagement through intelligent messaging.
Phoenix AI Assistant helps streamline tasks using intelligent automation and personalized support.
Refly.AI empowers non-technical creators to automate workflows using natural language and a visual canvas.
Refly.AI empowers non-technical creators to automate workflows using natural language and a visual canvas.
Edusign simplifies digital attendance and document signatures.
OLI is a browser-based AI agent framework enabling users to orchestrate OpenAI functions and automate multi-step tasks seamlessly.
Simulate conversations with people who have anxiety, receive feedback, and improve your support skills.
Maige automates GitHub workflows with AI for seamless issue and PR management.
Rehance offers an AI copilot to enhance SaaS platforms with automated productivity tools.
SWE-1 is an AI-powered coding assistant designed to speed up software development.
Generate BI reports from your competitors’ Google Maps reviews to understand customer sentiment.
AIHelp provides AI-powered customer support and in-app messaging solutions.
Kadoa is an AI agent that enhances customer support and engagement through personalized interactions.
Aide is an AI agent designed to streamline workflows and enhance productivity.
Transform your customer communications with AI-powered calls seamlessly using Regal AI Agent Platform.
Batai Assistant automates customer service with innovative voice models for seamless conversations.
Jupid is an AI agent designed to enhance productivity through automated assistance in various tasks.
aiXplain offers AI-driven model creation for diverse applications effortlessly.
AI Library is a developer platform for building and deploying customizable AI agents using modular chains and tools.
A Python-based framework implementing flocking algorithms for multi-agent simulation, enabling AI agents to coordinate and navigate dynamically.
Clone, Design, and Create Expressive AI Voices in Seconds, with Perfect Sound Effects and Music.
An open-source framework enabling autonomous LLM agents with retrieval-augmented generation, vector database support, tool integration, and customizable workflows.
An AI agent template showing automated task planning, memory management, and tool execution via OpenAI API.
Pipe Pilot is a Python framework that orchestrates LLM-driven agent pipelines, enabling complex multi-step AI workflows with ease.
Open-source repository providing practical code recipes to build AI agents leveraging Google Gemini's reasoning and tool usage capabilities.
RModel is an open-source AI agent framework orchestrating LLMs, tool integration, and memory for advanced conversational and task-driven applications.
An open-source framework implementing cooperative multi-agent reinforcement learning for autonomous driving coordination in simulation.
Python library with Flet-based interactive chat UI for building LLM agents, featuring tool execution and memory support.
Agentic Workflow is a Python framework to design, orchestrate, and manage multi-agent AI workflows for complex automated tasks.
A GitHub demo showcasing SmolAgents, a lightweight Python framework for orchestrating LLM-powered multi-agent workflows with tool integration.
A Python framework for easily defining and executing AI agent workflows declaratively using YAML-like specifications.
All-in-one AI video creation studio that turns any text and images into full videos up to 30 minutes.
OpenSpiel provides a library of environments and algorithms for research in reinforcement learning and game theoretic planning.
A Pythonic framework implementing the Model Context Protocol to build and run AI agent servers with custom tools.
pyafai is a Python modular framework to build, train, and run autonomous AI agents with plug-in memory and tool support.
LangGraph enables Python developers to construct and orchestrate custom AI agent workflows using modular graph-based pipelines.
A Python wrapper enabling seamless Anthropic Claude API calls through existing OpenAI Python SDK interfaces.
Agent Adapters provides pluggable middleware to integrate LLM-based agents with various external frameworks and tools seamlessly.
Java-Action-Storage is a LightJason module that logs, stores, and retrieves agent actions for distributed multi-agent applications.
LinkAgent orchestrates multiple language models, retrieval systems, and external tools to automate complex AI-driven workflows.