Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
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Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
AI agent toolkit: unified LLM API, agent loop, TUI, coding agent CLI
Autonomous coding agent as an SDK, IDE extension, or CLI assistant.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.
Parlant is an open platform for building customer-facing chat agents with AI. Describe how the agent should behave, and your coding agent implements it for you.
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
A framework for building realtime voice AI agents 🤖🎙️📹
Unified framework for building enterprise RAG pipelines with small, specialized models
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
LangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It offers a unified API over popular LLM providers and vector stores, and makes implementing tool calling (including MCP support), agents and RAG easy. It integrates seamlessly with enterprise Java frameworks like Quarkus and Spring Boot.
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
An open-source, code-first Go toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
A framework for building agentic apps
Open-source framework for building agentic apps in JavaScript, Go, Dart, and Python, built and used in production by Google
Building AI agents, atomically
Superduper: End-to-end framework for building custom AI applications and agents.
The Ruby AI framework.
Python trading framework with AI agents that actually place the trade. Backtest, paper and live trade on 12 brokers: stocks, options, futures, forex, crypto and prediction markets.
A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.
KaibanJS is a JavaScript-native framework for building and managing multi-agent systems with a Kanban-inspired approach.
A research-friendly, high-performance multi-agent collaboration coding framework.
A unified framework for building, evaluating, and recursively improving embodied agents. 🚀 Code release coming soon.