Search

More Filters

Show More
Add Listing
Go Back

flock

0
New
Multi-Agent Platforms & Frameworks
Report

Report Abuse

Basic Information

Flock is a workflow-based low-code platform designed to rapidly build chatbots, retrieval-augmented-generation (RAG) apps, and coordinate multi-agent teams. It provides a visual node-based workflow system that integrates LLMs, retrieval, tool calls and agents to create end-to-end conversational and autonomous applications. The project is built on LangChain and LangGraph and supports offline operation. The repository includes both frontend and backend components, recommends a tech stack (React, Next.js, Chakra UI, PostgreSQL) and provides deployment paths using Docker Compose or local development. Flock targets developers and teams who need a modular orchestrator for collaborative agents, offering persistent conversations, multi-tenancy and observability features to monitor agent performance.

Links

Stars
960
App URL
https://github.com/Onelevenvy/flock
Github Repository
https://github.com/Onelevenvy/flock/blob/main/README.md

Categorization

App Details

Features
Flock exposes many prebuilt node types including Input, LLM, Retrieval, Tool, Retrieval Tool, Intent Recognition, Answer, Subgraph and Start/End nodes. Recent additions include an Agent Node for autonomous agents, MCP tools support to connect Model Context Protocol servers and convert MCP tools to LangChain tools, a Parameter Extractor node to output structured JSON, a Human Node for human-in-the-loop review, multimodal chat (image) support, If-Else conditional node, Python Code Execution node, Intent Recognition node and CrewAI integration. It supports tool calling, RAG with vector stores, observability via LangSmith, persistent chat history, open-source model support and multi-tenancy. The repo includes Docker and local build instructions, backend requirements (Python 3.12, uvicorn) and optional Celery for RAG tasks.
Use Cases
Flock helps teams and developers accelerate creation of conversational agents and multi-agent workflows by providing a low-code, modular orchestration layer. The node-based design enables rapid composition and reuse of sub-workflows, while Agent Node and MCP tooling let you integrate autonomous agents and external model/tool endpoints. Human-in-the-loop nodes support safety and approval flows. Built-in intent recognition, parameter extraction and retrieval nodes simplify common RAG and dialogue tasks. Observability and persistent conversations help monitor and continue sessions, and multi-tenancy supports multiple users and teams. Deployment guides, Docker Compose support and compatibility with open-source and hosted models reduce operational friction for prototypes and production deployments.

Categories

Content Creation (5042)
Monetization & Business (2246)
Development Tools (1407)
Marketing & Social Media (1403)
Education & Career (1380)
Multi-Agent Platforms & Frameworks (1009)
Health & Life (957)
AI Resources (920)
Agents & Automation (778)
Data & Analytics (764)
Productivity Tools (679)
Writing & Editing (666)

Similar Listings

listing image

virtual lab

0 (0 review)
listing image

mnemo

0 (0 review)
listing image

EdgeChains

0 (0 review)
listing image

RAG Agents Accelerator

0 (0 review)
listing image

LLM Zero to Hundred

0 (0 review)

Featured Listings

Tags

Please fill the required fields*