bisheng
BISHENG is an open LLM devops platform for next generation Enterprise AI applications
GraphCanon updated 1d · GitHub synced 1d
Decision brief
BISHENG is a comprehensive open-source LLM DevOps platform designed specifically for next-generation Enterprise AI applications.
Good fit when
- - When you need a unified solution that supports both GenAI workflows and RAG (Retrieval-Augmented Generation) capabilities, which are critical in enhancing the context understanding and response of L
Avoid when
- - If your project requires minimal resource consumption and does not demand high enterprise-level system management or advanced observability features, BISHENG might be overkill given its hardware and
- Requirements:
- Min 16 GB RAM; Requires Docker
Observed Jul 11, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of 1d
- Provenance
- Not a fork · Organization account
- As of 1d
- Security (OSV)
- No criticals
- As of 1mo
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Install
pip install bishengHow it fits your stack(6)
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Integrates
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TradingAgents98k★langflow153k★langchain144k★ragflow87k★daytona72k★LlamaFactory74k★awesome492k★ECC240k★hermes-agent231k★TradingAgents98k★Similar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Offers comprehensive features such as GenAI workflow, RAG, Agent management, model and dataset management, evaluation, SFT, enterprise-level system management, and observability.
Capability facts
- Languages
- python
Source: github.language · Aug 18, 2026
Categories
Tags
README
Quick start
Please ensure the following conditions are met before installing BISHENG:
- CPU >= 4 Virtual Cores
- RAM >= 16 GB
- Docker 19.03.9+
- Docker Compose 1.25.1+
Recommended hardware condition: 18 virtual cores, 48G. In addition to installing BISHENG, we will also install the following third-party components by default: ES, Milvus, and Onlyoffice.
Download BISHENG
git clone https://github.com/dataelement/bisheng.git
---
# Enter the installation directory
cd bisheng/docker
---
# Unzip and enter the installation directory
unzip main.zip && cd bisheng-main/docker
Start BISHENG
docker compose -f docker-compose.yml -p bisheng up -d
After the startup is complete, access http://IP:3001 in the browser. The login page will appear, proceed with user registration.
By default, the first registered user will become the system admin.
For more installation and deployment issues, refer to:：Self-hosting
For agents
This page has a .md twin and JSON over the API.