Best Agent Lightning Alternatives in 2025
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LightAgent: The lightweight, open-source AI agent framework. Simplify development of efficient, intelligent agents, saving tokens & boosting performance.
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Build AI products lightning fast! All-in-one platform offers GPU access, zero setup, and tools for training & deployment. Prototype 8x faster. Trusted by top teams.
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VoltAgent: Open-source TypeScript framework for building powerful, custom AI agents. Gain control & flexibility. Integrate LLMs, tools, & data.
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Build AI agents and LLM apps with observability, evals, and replay analytics. No more black boxes and prompt guessing.
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TaskingAI brings Firebase's simplicity to AI-native app development. Start your project by selecting an LLM model, build a responsive assistant supported by stateful APIs, and enhance its capabilities with managed memory, tool integrations, and augmented generation system.
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AgentScope is a multi-agent framework, aiming to provide a simple yet efficient way to build LLM-empowered agent applications.
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AutoAgent: Zero-code AI agent builder. Create powerful LLM agents with natural language. Top performance, flexible, easy to use.
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Cloudflare Agents: Durable Objects, Workflows, Workers AI. Build agentic AI with reliable execution, serverless compute, and cost optimization.
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EvoAgentX: Automate, evaluate, & evolve AI agent workflows. Open-source framework for developers building complex, self-improving multi-agent systems.
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II-Agent: Open-source AI assistant automating complex, multi-step tasks. Powers research, content, data, dev & more. Enhance your workflows.
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Youtu-Agent: Build & evaluate SOTA autonomous AI agents fast. Modular framework for open-source LLMs, featuring automated generation & tools.
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Open-source tools for DevOps and platform engineers to build, deploy, and run AI-powered solutions in Kubernetes. From intelligent agents to MCP servers.
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AgentKit is a framework to build AI Agents, from single model inference calls to multi-agent systems that use tools. Designed with orchestration at its core, AgentKit enables developers to build, test, and deploy reliable AI applications at scale.
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Build custom AI agents fast with Open Agent Kit! Open-source, flexible, & deployable anywhere. Connect LLMs & extend with plugins.
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AutoLearn is the MCP server that automatically converts your AI agent's reasoning steps into reliable, cost-effective code that runs deterministically every time.
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Sparks is your AI workspace & agent platform. Build or download custom agents, share workspaces, plug in tools, and publish to the agent store.
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LazyLLM: Low-code for multi-agent LLM apps. Build, iterate & deploy complex AI solutions fast, from prototype to production. Focus on algorithms, not engineering.
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SuperAgentX, an open - source AI framework, enables building autonomous AI agents for AGI. Features include goal - oriented multi - agents, easy deployment, and flexible LLM config. Ideal for e - commerce, data analysis, and research. Explore AGI possibilities now!
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AXAR AI is a lightweight framework for building production-ready agentic applications using TypeScript. It’s designed to help you create robust, production-grade LLM-powered apps using familiar coding practices—no unnecessary abstractions, no steep learning curve.
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Orchestra: Open-source LLM agent framework. Empower developers to build dynamic AI workflows & complex multi-agent systems. Universal function calling for any model.
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WhiteLightning: Build custom text classifiers from a prompt, no data required! Deploy lightweight, production-ready AI models fast, anywhere.
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OpenAI Agents SDK: Python for production AI apps. Build agents, tools, guardrails, tracing.
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Archon: AI Agenteer. Easily create autonomous AI agents. Automate development, prototype faster, & learn AI frameworks.
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Superagent: Open-source AI firewall offers reasoning-driven, real-time LLM protection from prompt injections, data leaks, & malicious backdoors.
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Manage AI prompts like code! AgentRunner: version control, visual workflows, team collaboration. Integrate OpenAI, Claude, & more!
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Build reliable AI agents and connect them to 500+ integrations with built-in multi-tenant auth management and granular permissions using our model agnostic platform and unified MCP server.
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Dedalus Labs is building the MCP gateway for next-gen AI applications by unifying the fragmented AI-agent ecosystem with a single drop-in API endpoint.
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AgentX: Easily build & deploy specialized AI agents and teams. Automate tasks, boost efficiency & customer service for your business. No coding required.
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Agent Squad: Open-source framework to orchestrate AI agent teams for complex conversations. Python & TS support, flexible context & routing.
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Explore AI trading research using TradingAgents, the open-source multi-agent framework. Simulate a firm's analysis, debate, and risk-managed decisions.