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rllm alternatives

Looking for an alternative to rllm? Below are the agent frameworks in our index that do a similar job — open-source options are ranked by real maintained adoption (GitHub stars and recent commit activity), never by sponsorship. rllm is open source, so the list below includes both other self-hostable projects and commercial products.

30 alternatives · all agent frameworks · how we rank

The product you're replacing

rllmFrameworkAgent Frameworks

Democratizing Reinforcement Learning for LLMs

Open source · 5.8k stars · Python · Apache-2.0 · updated Aug 2026

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Commercial alternatives to rllm

Listed alphabetically — GitHub stars don't measure commercial adoption.

LangGraphFrameworkLangChain's low-level orchestration framework for stateful, controllable agents.FreemiumCrewAI PlatformPlatformFramework and platform for orchestrating role-playing multi-agent crews.Freemium

Open-source alternatives to rllm

Ranked by maintained adoption — self-hostable and free to run.

langchainFrameworkThe agent engineering platform.Python · 144k stars · MIT · Aug 2026rufloFrameworkThe leading agent meta-harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems.TypeScript · 68k stars · MIT · Aug 2026autogenFrameworkA programming framework for agentic AIPython · 60k stars · CC-BY-4.0 · Apr 2026crewAIFrameworkFramework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.Python · 57k stars · MIT · Aug 2026pydantic-aiFrameworkAI Agent Framework, the Pydantic wayPython · 19k stars · MIT · Aug 2026elizaFrameworkOpen source agentic operating systemTypeScript · 19k stars · MIT · Aug 2026SuperAGIFramework<> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.Python · 18k stars · MIT · Jan 2025agent-frameworkFrameworkA framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and.NET.Python · 13k stars · MIT · Aug 2026hiveFrameworkMulti-Agent Harness for Production AIPython · 11k stars · Apache-2.0 · Aug 2026evolverFrameworkThe GEP-powered self-evolving engine for AI agents. Auditable evolution with Genes, Capsules, and Events. | evomap.aiJavaScript · 9.0k stars · GPL-3.0 · Aug 2026UpsonicFrameworkBuild autonomous AI agents in Python.Python · 7.9k stars · MIT · Jun 2026yaoFrameworkBuild AI agents and web apps — with a single binary.Go · 7.6k stars · Aug 2026
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open-multi-agentFrameworkTypeScript multi-agent orchestration framework. Describe a goal, a coordinator decomposes it into a task DAG that runs on any LLM: Claude, ChatGPT, Gemini, DeepSeek, or local models.TypeScript · 6.8k stars · MIT · Aug 2026intentkitFrameworkIntentKit is an open-source, self-hosted cloud agent cluster that manages a collaborative team of AI agents for you.Python · 6.5k stars · MIT · Aug 2026agentsFrameworkAn Open-source Framework for Data-centric, Self-evolving Autonomous Language AgentsPython · 6.0k stars · Apache-2.0 · Sep 2024ag2FrameworkAG2 (formerly AutoGen): The Open-Source AgentOS.Join us at: https://discord.gg/sNGSwQME3xPython · 4.9k stars · Apache-2.0 · Aug 2026youtu-agentFrameworkA simple yet powerful agent framework that delivers with open-source modelsPython · 4.6k stars · Mar 2026fast-agentFrameworkCode, Build and Evaluate agents - excellent Model and Skills/MCP/ACP/A2A SupportPython · 3.9k stars · Apache-2.0 · Aug 2026opengapFrameworkA framework-agnostic, git-native standard for defining AI agentsTypeScript · 2.9k stars · MIT · Jul 2026harmonistFrameworkPortable AI agent orchestration with mechanical protocol enforcement. 186 agents, zero runtime dependencies.Python · 2.3k stars · MIT · Jun 2026verl-agentFrameworkverl-agent is an extension of veRL, designed for training LLM/VLM agents via RL. verl-agent is also the official code for paper "Group-in-Group Policy Optimization for LLM Agent Training"Python · 2.2k stars · Apache-2.0 · Jun 2026yomoFrameworkServerless AI Agent Framework with Geo-distributed Edge AI Infra.Rust · 1.9k stars · Aug 2026DemoGPTFrameworkCreate LLM agents in a second with your prompts. Everything you need to create an LLM Agent - tools, prompts, frameworks, and models - all in one place.Python · 1.9k stars · MIT · Apr 2026AgentlyFramework[GenAI Application Development Framework] Build GenAI application quick and easy Easy to interact with GenAI agent in code using structure data and chained-calls syntax Use Event-Driven FlowPython · 1.6k stars · Apache-2.0 · Aug 2026harness-sdkSDK / libraryBuild an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.Python · 6.9k stars · Apache-2.0 · Aug 2026agent-governance-toolkitSDK / libraryAI Agent Governance Toolkit — Policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for autonomous AI agents. Covers 10/10 OWASP Agentic Top 10.Python · 6.0k stars · MIT · Aug 2026Vibe-SkillsSDK / libraryVibe-Skills is an all-in-one AI skills package.Python · 2.9k stars · Apache-2.0 · Aug 2026flowcraftSDK / libraryProduction-grade Go SDK for building AI agents with long-term memory, knowledge retrieval, and voice — runnable as a library, a daemon, or a real-time pipeline.Go · 416 stars · MIT · Aug 2026

Frequently asked

What is the best alternative to rllm?
It depends on whether you'd rather self-host or buy a managed product. langchain is the most widely-adopted open-source alternative (144k GitHub stars); LangGraph is one of the commercial options. Compare the full list above on adoption, license, and pricing.
Is there a free or open-source alternative to rllm?
Yes. langchain, ruflo, and autogen are open-source agent frameworks you can self-host for free — you still pay for the infrastructure you run them on and any model or API usage. See the ranked open-source list above.
How are these rllm alternatives ranked?
Every product in the agent frameworks category is a candidate. Open-source alternatives are ranked by maintained adoption — GitHub stars plus recent commit activity — so you see what's genuinely used, not abandoned. Commercial products are listed separately and alphabetically, because stars don't measure commercial adoption. Sponsored placement is always labeled and never affects the ranking.