Open Source Alternatives
Open source alternatives to Phidata
Open source alternatives to Phidata, ranked by GitHub stars and freshness.
9 open-source alternatives in the index, ranked by GitHub stars and freshness.
Botpress
Community
The open-source hub to build & deploy GPT/LLM Agents ⚡️
Best for: Teams building production LLM agents who want open-source control and TypeScript integration
TextAI
Community
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Best for: Python developers building semantic search and RAG systems who want a unified framework
Griptape
Community
Modular Python framework for AI agents and workflows with chain-of-thought reasoning, tools, and memory.
Best for: Python developers building custom AI agents and multi-step workflows
AgentField
Community
Build, run and scale AI agents like API and microservices - observable,auditable and identity-aware from day one.
Best for: Developers building production AI agents that need observable, auditable, and identity-aware behavior from the start
Autochain
Community
AutoChain: Build lightweight, extensible, and testable LLM Agents
Best for: Developers who need a simple, testable framework for building and evaluating LLM agents in Python.
Dust
Community
Custom AI agent platform to speed up your work.
Best for: Developers who want an open-source, TypeScript-native framework for building custom agent orchestration pipelines.
llama-agents
Community
Llama Agents + Workflows are an event-driven, async-first, step-based way to control the execution flow of AI applications like agents.
Best for: Developers building custom agent orchestration with async workflows
Funcchain
Community
⛓️ build cognitive systems, pythonic
Best for: Developers prototyping cognitive systems in Python who want a simple orchestration layer
bondai
Community
BondAI is an open-source tool for developing AI Agent Systems. BondAI handles the implementation complexities including memory/context management, error handling, vector/semantic s
Best for: Python developers who want a lightweight, open-source framework to build AI agents without managing low-level infrastructure.