What to compare

  • Does the framework fit your language and deployment runtime?
  • How will a failed run resume without repeating side effects?
  • Can you test the workflow with your own examples?

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GolemCore Bot

Agent frameworks

GolemCore Bot is an agent platform for AI-native teams, with channel-connected agents, skills, plugins, MCP servers, memory, and execution tracing.

Haystack

Agent frameworks

Haystack is an end-to-end LLM framework facilitating the construction of applications powered by LLMs, Transformer models, vector search, and more, offering flexibility, transparency, and extensibility, with features including retrieval-augmented generation, document search, question answering, and semantic search, along with a diverse user base including companies like Airbus, Apple, and Netflix

Hive

Agent frameworks

A model-agnostic runtime for production AI agent teams, with dynamic worker colonies, shared task state, and human oversight.

Julep

Agent frameworks

Julep builds durable, composable AI agents as workflows that can resume after failures, retry safely, and expose step-by-step execution.

Kodo

Agent frameworks

An autonomous multi-agent coding orchestrator that runs coding agents through work cycles with independent verification.

LangChain JS

Agent frameworks

LangChain JS is a framework for developing applications powered by language models, enabling context-aware and reasoning-based applications through composable tools and off-the-shelf chains, with seamless integration with the LangChain Python package

LangGraph.js

Agent frameworks

LangGraph.js is a TypeScript and JavaScript library enabling the development of stateful, multi-actor applications with LLMs, featuring capabilities to construct cyclic coordination across multiple computation steps for complex agent-like behaviors, with support for conditional edges and cycles, not limited to DAGs, and extensive documentation with examples on implementation

LangServe

Agent frameworks

LangServe facilitates the deployment of LangChain runnables and chains as a REST API, providing features like automatic schema inference, efficient endpoints, and a playground page, with plans for a hosted version for one-click deployments

Lobe Chat

Agent frameworks

Lobe Chat is an open-source UI framework for building ChatGPT/LLM-based chat applications, featuring modern design, speech synthesis, multi-modal support, extensible plugins, and free one-click deployment for various AI agents

LoopGPT

Agent frameworks

LoopGPT is a modular auto-GPT framework with features such as a 'Plug N Play' API, GPT 3.5 compatibility, minimal prompt overhead, human-in-the-loop capability, and full state serialization, facilitating easy installation and usage through Python code, CLI, or Docker, with the ability to add custom tools and course correction, along with saving and loading agent state, requiring Python 3.8+ and an OpenAI API Key, and optional setup for Google search support

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