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No-code multi-agent framework to build LLM Agents, workflows and applications with your data
The main features of trypromptly/llmstack are: Agent Frameworks, AI-Powered Development, Application Frameworks, Data Interaction & Memory.
Open-source alternatives to trypromptly/llmstack include: griptape-ai/griptape — Griptape is a Python framework for building generative AI applications, autonomous agents, and complex AI workflows.… langchain-ai/langchain — LangChain is an orchestration framework designed for building, managing, and deploying applications powered by large… botpress/botpress — Botpress is a conversational AI builder and LLM agent platform used to design chatbot workflows and orchestrate agents… deepset-ai/haystack — Haystack is an orchestration framework designed for building complex search and generative AI pipelines. It functions… hwchase17/langchain — LangChain is a framework for building applications that chain large language models with external data sources and… langroid/langroid — Langroid is a multi-agent orchestration framework and tool integration suite designed for building complex AI…
Haystack is an orchestration framework designed for building complex search and generative AI pipelines. It functions as an agentic workflow engine, enabling the construction of automated sequences that allow AI agents to perform multi-step reasoning and data analysis. The framework utilizes a modular, component-based architecture that connects processing steps into directed acyclic graphs. By employing a provider-agnostic integration layer, it decouples core logic from specific external AI services and vector databases, allowing for the flexible exchange of underlying technologies. This desi
Griptape is a Python framework for building generative AI applications, autonomous agents, and complex AI workflows. It functions as both an AI agent orchestrator and a workflow engine, capable of managing sequential pipelines and directed acyclic graphs to ensure predictable execution of AI tasks. The framework distinguishes itself through a focus on security and governance, utilizing a Docker-based environment to execute model-generated code and shell commands in isolation. It employs a driver-based abstraction layer that allows developers to swap language model providers and vector stores
Botpress is a conversational AI builder and LLM agent platform used to design chatbot workflows and orchestrate agents powered by large language models. It provides a framework for managing the entire lifecycle of these agents, from initial creation through to deployment across various production environments. The platform includes a custom integration SDK for developing and publishing third-party connectors that extend agent capabilities. These tools allow for the creation of custom plugins that connect AI agents to external APIs and third-party services. The system supports both visual des
LangChain is a framework for building applications that chain large language models with external data sources and third-party tools. It serves as an orchestrator for autonomous agents that use language models to plan and execute multi-step tasks, while providing a toolkit for linking interoperable AI components into sequences to prototype complex model behaviors. The project provides a model agnostic integration layer, allowing users to switch between different language model providers using a standardized interface. It also includes tools for observability and evaluation to track the perfor