Flock

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Flock is a workflow-based low-code platform for rapidly building chatbots, RAG applications, and coordinating multi-agent teams. It is powered by LangGraph, Langchain, FastAPI, and NextJS.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is flock?

Flock is a workflow-based low-code platform designed for the rapid development of chatbots, Retrieval Augmented Generation (RAG) applications, and the orchestration of multi-agent teams. Built upon robust technologies like LangGraph, Langchain, FastAPI, and NextJS, it offers a flexible solution for creating collaborative AI systems. The platform supports various node types including Input, LLM, Retrieval, Tool, Intent Recognition, and Answer nodes, allowing for complex workflow design. Key features include persistent conversations, real-time observability with LangSmith, tool calling capabilities, and human-in-the-loop functionality for review and approval. Flock also supports open-source LLM models and multi-tenancy, making it suitable for diverse application scenarios.

Best used for

Ideal for developers who need to rapidly build custom chatbots, develop sophisticated RAG applications, and coordinate multi-agent teams. Especially valuable for those seeking a flexible, low-code solution built on LangChain and LangGraph with human-in-the-loop capabilities.

Common actions

build chatbots

create AI workflows

coordinate AI agents

develop RAG applications

github copilotface swappingdeepfakeautomated workflowcollaborationopen-sourceworkflows"AI Agents"low-code/no-code

Capabilities

Key features

Workflow-based low-code platform
Chatbot building
RAG application development
Multi-agent team coordination
Human-in-the-loop
Persistent conversations
Tool calling

Target Audience

developerdata scientiststartup founder

Integrations

langchainlanggraphfastapinextjspostgresqlchakra-uilangsmithcrewai

Pricing & Plans

Open Source

Free

FAQs

What technologies power the Flock platform?

Flock is built using a modern tech stack including LangGraph, Langchain, FastAPI, and NextJS. It also leverages React, Chakra UI, and PostgreSQL for its frontend and database, ensuring a robust and scalable architecture for AI application development.

Can Flock integrate with open-source large language models?

Yes, Flock supports the use of open-source LLM models such as Llama, Qwen, and GLM. This flexibility allows users to integrate various models into their workflows, providing options beyond proprietary solutions for their AI applications.

Does Flock support human intervention in AI workflows?

Flock includes a 'Human Node' that enables human-in-the-loop functionality. This allows for human review, editing, or approval of tool calls and LLM outputs, and also facilitates human input for clarification or additional details within the workflow.

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