AttestdirectorySubmit tool

Verified alternatives · Agent frameworks

Verified AutoGen alternatives

Compare 38 same-category tools using only the descriptions stored in the Attest directory.

Open AutoGen evidenceBrowse Agent frameworks

Comparison rule

No invented feature matrix.

Each option below is in the same live directory category as AutoGen. Its bullets reproduce that tool's stored tagline and description; they do not claim feature parity, superiority or suitability for your workflow.

Same-category directory records

Alternatives to inspect.

Open any name to see its verification record and original outbound links.

Open source

PraisonAI

  • Low-code multi-agent framework with handoffs and workflow patterns
  • PraisonAI aims to deploy agents in a few lines of code, with built-in memory, RAG, agent-to-agent handoffs, parallel execution, and support for 100+ LLM providers. The MIT-licensed project also includes MCP integration and messaging-platform frontends.
Open source

VoltAgent

  • Open-source TypeScript agent framework with observability console
  • VoltAgent provides agents, workflows, RAG, memory, and voice capabilities for TypeScript developers, paired with the VoltOps console for execution traces, monitoring, and evaluation. The framework is MIT-licensed and can be self-hosted or used with the cloud console.
Open source

CopilotKit

  • Frontend stack for agentic applications and generative UI
  • CopilotKit connects agent backends (LangGraph, CrewAI, and others via the AG-UI protocol) to in-app copilots, chat interfaces, and generative UI in React, Angular, Vue, and mobile frameworks. It is MIT-licensed and focuses on the user-facing layer of agent systems.
Open source

elizaOS

  • TypeScript framework and product stack for autonomous agents
  • elizaOS is an MIT-licensed monorepo containing an agent runtime, CLI, cloud services, and first-party plugins for chat, voice, memory, and wallet operations. Agents can run across web, desktop, and mobile with a large plugin ecosystem.
Open source

ChatDev

  • Zero-code multi-agent platform born from agent software companies
  • ChatDev began as a virtual software company staffed by role-playing LLM agents and has grown into ChatDev 2.0 (DevAll), a configurable multi-agent orchestration platform. The Apache-2.0 project is backed by published research, including work accepted at NeurIPS.
Open source

Atomic Agents

  • Modular, schema-first framework for predictable agent pipelines
  • Atomic Agents builds agentic pipelines from small, single-purpose components with strict Pydantic input/output schemas, an approach the project compares to LEGO blocks. It is MIT-licensed, built on Instructor, and supports major LLM providers.
Open source

Apache Burr

  • State machine framework for stateful AI applications
  • Burr expresses agents, chatbots, and simulations as explicit state machines with built-in persistence, monitoring, and a real-time tracing UI. Originally from DAGWorks, it is now an Apache Software Foundation incubating project.
Open source

BeeAI Framework

  • Linux Foundation-hosted toolkit for agents in Python and TypeScript
  • BeeAI Framework, initially developed at IBM and now part of the Linux Foundation AI & Data program, supports building agents and multi-agent systems with workflows, memory, and tool use. It is Apache-2.0 licensed and community-maintained.
Open source

AgentKit

  • Inngest's TypeScript framework for multi-agent systems with tools
  • AgentKit provides composable primitives for building anything from single-model calls to multi-agent networks with shared state, routing, and MCP tool support. Built by Inngest, it integrates with the company's durable execution platform for deployment and orchestration.
Open source

Pipecat

  • Open-source framework for voice agents and realtime multimodal AI
  • Pipecat, maintained by Daily, is a Python framework for building conversational voice and multimodal agents with pluggable speech, LLM, and transport services including WebRTC and WebSockets. It is BSD-2-Clause licensed with client SDKs for JavaScript, React, mobile, and C++.
Open source

LiveKit Agents

  • Realtime framework for voice, video, and physical AI agents
  • LiveKit Agents lets Python and Node.js agents join LiveKit rooms as full participants, streaming audio through STT, LLM, and TTS pipelines with turn detection and multi-agent handoffs. The Apache-2.0 framework targets voice assistants, customer service, translation, and telephony use cases.
Open source

Langflow

  • Visual low-code builder for AI agents and MCP servers
  • Langflow provides a drag-and-drop canvas for composing agentic and RAG applications from LLMs, vector databases, and tools, and can expose flows as APIs or MCP servers. It is open source, with a free cloud option for deployment.
Freemium

Dify

  • Low-code platform for production agentic workflows and RAG
  • Dify combines a visual workflow studio, knowledge pipelines, agent building with tools and memory boundaries, and a plugin marketplace. The community edition is open source and self-hostable, with paid cloud and enterprise tiers.
Freemium

AutoGPT

  • Platform for building, deploying, and running autonomous agents
  • AutoGPT, one of the earliest autonomous-agent projects, has evolved into a platform with a visual no-code builder, agent dashboard, marketplace, and chat-driven automation. The code is open source and self-hostable, with paid hosted plans available.
Open source

Griptape

  • Python framework for secure, structured AI agent workflows
  • Griptape provides agents, pipelines, and workflow structures with off-prompt memory for keeping sensitive data away from LLMs. The Apache-2.0 framework is complemented by Griptape Cloud for managed deployment and Griptape Nodes, a visual workflow builder.
Open source

Agent Squad

  • Lightweight orchestrator that routes queries across multiple AI agents
  • Agent Squad (formerly AWS Labs' multi-agent-orchestrator, now maintained by 2FastLabs) classifies user intent and routes conversations to specialized agents while maintaining context, in Python, TypeScript, and Swift. It ships pre-built agents for Bedrock, Anthropic, and OpenAI plus supervisor patterns for team coordination.
Open source

Strands Agents

  • AWS-backed model-driven SDK for production agents
  • Strands Agents is an Apache-2.0 SDK for Python and TypeScript built from production systems inside Amazon, taking a model-driven approach where the LLM plans and the framework supplies tools, context management, hooks, and guardrails. It is model-agnostic across Bedrock, Anthropic, OpenAI, and Gemini.
Open source

AgentScope

  • Production-ready agent framework with ReAct loops and sandboxed tooling
  • AgentScope, which originated at Alibaba, pairs an agent SDK (ReAct loops, toolkit management, multi-model support) with a FastAPI-based agent service offering multi-tenancy, agent teams, and channel integrations. It is Apache-2.0 licensed with an emphasis on transparent, debuggable agent behavior.
Open source

MetaGPT

  • Multi-agent framework that simulates a software company
  • MetaGPT assigns LLM agents roles such as product manager, architect, and engineer, encoding standard operating procedures so a team of agents can turn a one-line requirement into software deliverables. The MIT-licensed project underpins the commercial MGX product and related academic work.
Open source

CAMEL

  • Multi-agent research framework for studying agent scaling laws
  • CAMEL is an Apache-2.0 framework from an open-source research community focused on large-scale agent societies, data generation, and world simulation, with support for simulating up to a million agents. It provides modules for agents, societies, tools, memory, and benchmarks.
Open source

Letta

  • Platform for stateful agents with self-editing memory
  • Letta, formerly known as MemGPT, builds agents whose memory, identity, and capabilities persist and evolve across sessions using hierarchical memory management. The Apache-2.0 project is developed by an AI research lab that also offers hosted cloud and desktop clients.
Open source

Agno

  • Python framework and runtime for building and operating agent platforms
  • Agno (formerly Phidata) combines an agent SDK with the AgentOS runtime, exposing agents as a service with a web control plane, memory, sessions, and 100+ integrations. The framework is Apache-2.0 licensed and model-agnostic, with deployment templates for major clouds.
Open source

DSPy

  • Framework for programming, not prompting, language models
  • DSPy, which began at Stanford NLP, expresses LLM tasks as structured signatures and modules (including ReAct-style agents) that can be automatically optimized rather than hand-prompted. It is MIT-licensed and used in production by companies including Databricks and Shopify.
Open source

AI SDK

  • Vercel's provider-agnostic TypeScript toolkit for AI apps and agents
  • The AI SDK offers unified APIs for text generation, streaming, structured output, and tool calling across model providers, plus agent abstractions like ToolLoopAgent and UI streaming hooks for React and other frameworks. It is free, open source, and maintained by Vercel.
Open source

Mastra

  • TypeScript framework for AI agents and graph-based workflows
  • Mastra provides agents, durable graph-based workflows, memory, RAG, and human-in-the-loop primitives for JavaScript/TypeScript developers, with model routing across 40+ providers. Core code is Apache-2.0 licensed, with enterprise features under a separate license.
Open source

Haystack

  • Open-source AI orchestration framework for production-grade agents and RAG
  • Haystack, developed by deepset, composes modular components for retrieval, reasoning, memory, and tool use into pipelines and agents. It integrates with major model providers and vector databases and is used for advanced RAG, agentic, and conversational applications in production.
Open source

LlamaIndex

  • Framework for agentic applications over data and documents
  • LlamaIndex is an MIT-licensed framework for building agents and workflows grounded in enterprise data, with more than 300 integration packages for models, vector stores, and readers. Its event-driven Workflows API supports multi-step agent orchestration, and the company offers commercial cloud services such as LlamaParse.
Open source

smolagents

  • Hugging Face's minimal library for code-writing agents
  • smolagents is a lightweight agent library whose core logic fits in roughly a thousand lines, centered on a CodeAgent that expresses actions as Python code rather than JSON tool calls. It supports sandboxed execution, open and proprietary models, and sharing tools via the Hugging Face Hub.
Open source

Pydantic AI

  • Type-safe Python agent framework from the Pydantic team
  • Pydantic AI is a typed, extensible agent loop that brings Pydantic-style validation and end-to-end type safety to LLM applications. It supports structured outputs, tool calling, multi-agent handoffs, durable execution, and swapping between model providers with minimal code changes.
Open source

Claude Agent SDK

  • Anthropic's SDK for building agents on the Claude Code harness
  • The Claude Agent SDK gives programmatic access to the same agent loop that powers Claude Code, including file tools, bash execution, custom in-process MCP tools, and hooks for controlling agent behavior. It is MIT-licensed with Python and TypeScript versions; usage requires Claude API access.
Open source

Agent Development Kit (ADK)

  • Google's open-source framework for building and deploying agents at scale
  • ADK offers code-first agent development with multi-agent orchestration, graph-based workflows, tool integration, and built-in evaluation, with SDKs for Python, TypeScript, Go, Java, and Kotlin. It is model-agnostic but optimized for Gemini and deployment on Google Cloud.
Open source

OpenAI Agents SDK

  • OpenAI's lightweight SDK for agents, handoffs, and guardrails
  • The OpenAI Agents SDK is a production-oriented successor to the experimental Swarm project, built around three primitives: agents, handoffs between agents, and guardrails for input/output validation. It includes sessions for persistent memory, realtime voice agents, and built-in tracing.
Open source

Semantic Kernel

  • Model-agnostic SDK for embedding AI agents into applications
  • Semantic Kernel is Microsoft's MIT-licensed SDK for integrating LLMs into apps with plugins, memory, and multi-agent orchestration, available for Python, .NET, and Java. Microsoft has positioned the newer Agent Framework as its successor, while Semantic Kernel remains widely used in enterprise codebases.
Open source

Microsoft Agent Framework

  • Microsoft's unified framework for production AI agents in Python and .NET
  • Microsoft Agent Framework consolidates ideas from Semantic Kernel and AutoGen into a single SDK for building, orchestrating, and deploying agents and multi-agent workflows. It supports graph-based patterns such as sequential, concurrent, handoff, and group collaboration across Python, .NET, and Go.
Open source

AG2

  • Community-driven agent framework continuing the original AutoGen line
  • AG2 is an open-source multi-agent framework maintained by the original creators of AutoGen after the project split from Microsoft's fork. It focuses on agent orchestration patterns, cross-framework interoperability, and human-in-the-loop workflows.
Open source

CrewAI

  • Python framework for orchestrating role-based multi-agent crews
  • CrewAI organizes agents into 'Crews' of role-playing collaborators and 'Flows' for event-driven, precisely controlled workflows. The core framework is MIT-licensed, and the company also offers a commercial enterprise platform for deployment, observability, and governance.
Open source

LangChain

  • Framework for building agents and LLM-powered applications
  • LangChain provides standardized interfaces to models, tools, retrievers, and vector stores, plus higher-level agent abstractions built on top of LangGraph. Available in Python and JavaScript under an MIT license, it is one of the most widely adopted LLM application frameworks.
Open source

LangGraph

  • Low-level orchestration framework and runtime for stateful AI agents
  • LangGraph models agent workflows as graphs with persistent state, enabling cycles, branching, human-in-the-loop interrupts, and durable execution. It is MIT-licensed and maintained by LangChain, with an optional commercial platform (LangSmith) for deployment and observability.