Guidance alternatives
Other ai agent frameworks platforms include CrewAI, LangGraph, LangChain, LlamaIndex, AutoGen, Semantic Kernel. They share a category, but their workflows, coverage, and terms can differ. These are options to evaluate, not ranked recommendations.
CrewAI
Framework and platform for coordinating teams of AI agents.
LangGraph
Framework for building stateful, controllable agent workflows.
LangChain
Tools for building AI applications, agents, and retrieval workflows.
LlamaIndex
Data framework and platform for building agents over enterprise information.
AutoGen
Multi-agent application framework in maintenance mode; Microsoft recommends Agent Framework for new projects.
Semantic Kernel
Microsoft SDK for integrating AI models, functions, and agents into applications.
OpenAI Agents SDK
SDK for agent tools, handoffs, guardrails, and tracing.
smolagents
Hugging Face library for building tool-using agents with code.
PydanticAI
Python agent framework with typed outputs and dependency injection.
Mastra
TypeScript framework for agents, workflows, memory, and evaluation.
Agno
Framework and runtime for agents with tools, memory, and knowledge.
Haystack
Framework for retrieval-augmented generation and AI agent pipelines.
DSPy
Program and optimize language model pipelines with structured modules.
Outlines
Generate structured outputs from language models with schema constraints.
Instructor
Extract validated structured data from language model responses.
BAML
Define typed LLM functions and test prompts with a dedicated language.
Google ADK
Build and deploy agents with Google's open-source Agent Development Kit.
Microsoft Agent Framework
Build agents and orchestrated workflows using Microsoft's agent framework.
CAMEL-AI
Build and research multi-agent systems with an open-source framework.
Adala
Adala: Autonomous DAta (Labeling) Agent framework.
Agentic-Ai
A framework for developing and deploying specialized AI agents, including Web Search and Finance AI Agents, powered by advanced models and tools. Includes a user-friendly Playground app for interaction with agents.
Agency Swarm by VRSEN
Reliable Multi-Agent Orchestration Framework.
Agent-Evaluation
A generative AI-powered framework for testing virtual agents.
Agentlab
AgentLab: An open-source framework for developing, testing, and benchmarking web agents on diverse tasks, designed for scalability and reproducibility.
Hivemoot
Framework for AI agent teams that build real software on GitHub — governance, roles, and CLI included.
Agents by AI Waves
An Open-source Framework for Data-centric, Self-evolving Autonomous Language Agents.
AgentVerse
🤖 AgentVerse 🪐 is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation.
Baseai
BaseAI — The Web AI Framework. The easiest way to build serverless autonomous AI agents with memory. Start building local-first, agentic pipes, tools, and memory. Deploy serverless with one command.
Aiconversationflow
AI Conversation Flow provides a framework to create anti-agents to build complex non-linear LLM conversation flows, that are composable, controllable and easily testable.
traceAI
Open Source AI Tracing Framework built on Opentelemetry for AI Applications and Frameworks.
AppAgent
AppAgent: Multimodal Agents as Smartphone Users, an LLM-based multimodal agent framework designed to operate smartphone apps.
Ai-Powered-Chatbot-Generator
Extensible conversational AI framework to build and deploy custom intent-driven chatbots with NLP.
Axolotl
Go ahead and axolotl questions.
Axocore
Axocore is an open-source AI agent infrastructure designed to make building intelligent systems . With a modular plugin system, a built-in Twitter client, and a TypeScript-powered core, Axocore offers a developer-friendly, scalable, and easy-to-use.
Bernstein
The open‑source AI Agents Governance & Orchestration framework: write the rules declaratively, Bernstein enforces them and produces the verifiable, replayable record. Free, Apache-2.0. https://bernstein.run.
Swarmgo
SwarmGo (agents-sdk-go) is a Go package that allows you to create AI agents capable of interacting, coordinating, and executing tasks. Inspired by OpenAI's Swarm framework, SwarmGo focuses on making agent coordination and execution lightweight, highly.
Slam-Llm
A Framework for Speech, Language, Audio, Music Processing with Large Language Model.
Claude Agent SDK
GitHub - anthropics/claude-agent-sdk-python.
Splaa
SPLAA is an AI assistant framework that utilizes voice recognition, text-to-speech, and tool-calling capabilities to provide a conversational and interactive experience. It uses LLMs available through Ollama and has capabilities for extending.
Vercel AI SDK
A unified TypeScript SDK for building AI apps with modern streaming, fallbacks, and multi-model support—powered by Vercel.
fabric
Fabric is an open-source framework for augmenting humans using AI. It provides a modular system for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.
VoltAgent
AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework.
googleapis/go-genai
Google Gen AI Go SDK provides an interface for developers to integrate Google's generative models into their Go applications.
MetaGPT
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming.
OpenManus
No fortress, purely open ground. OpenManus is Coming.
How should you evaluate a switch?
Build agents with code, orchestration, memory, and evaluation libraries. Start with a real task and compare the output, effort, permissions, and full cost. Check licensing, maintenance status, supported providers, and hosting or inference costs. Include migration work, access, and cancellation terms in the evaluation. A shared category does not make two products direct substitutes.
