bisheng
BISHENG is an open LLM devops platform for next generation Enterprise AI applications
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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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 Aug 18, 2026
- Provenance
- Not a fork · Organization account
- As of Aug 18, 2026
- Security (OSV)
- No criticals
- As of Jul 11, 2026
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Install
pip install bishengHow it fits your stack(6)
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Evidence and technical details
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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
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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 follow...
For agents
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