8 Best Bisheng Alternatives in 2026 (Open Source)
Bisheng — Open LLM application DevOps platform for enterprise workflows, RAG, and agents. Embeds domain expert preferences and business logic into AI agents via the Agent Guidance Language (AGL) framework for expert-level task handling.
Short answer
- Closest match to Bisheng: LangChain.
- Most actively developed: LangChain (542 commits in the last 90 days).
- Fastest growing: LangChain (+23,097 GitHub stars in the last 30 days).
These 8 open-source tools do the same job. They are ordered by how closely they match Bisheng, with live GitHub data so you can see which projects are actively maintained.
| Tool | GitHub stars | Stars / 30d | Last commit | Downloads / 30d |
|---|---|---|---|---|
| Bisheng(original) | 12.0k | +40 | 2026-09-23 | — |
| LangChain | 147.4k | +23,097 | 2026-10-02 | 169.4M |
| LangGraph | 42.7k | +2,365 | 2026-10-02 | 43.7M |
| crewAI | 59.3k | +1,886 | 2026-10-03 | 2.4M |
| Flock | 1.1k | +4 | 2026-07-06 | — |
| FastGPT | 29.8k | +10 | 2026-10-01 | — |
| MaxKB | 22.9k | -10 | 2026-09-28 | — |
| Semantic Kernel | 28.6k | +165 | 2026-10-01 | 287.7K |
| Spring AI Alibaba | 11.0k | +50 | 2026-08-25 | — |
1. LangChain
The agent engineering platform
What sets it apart: vs other frameworks: Largest ecosystem with 100+ integrations, dual Python/JS support, backed by LangGraph for agent orchestration and LangSmith for production observability - the most widely adopted LLM framework
Best for: Building complex LLM applications with many integrations; Teams needing model interoperability and quick provider switching; Production AI applications requiring observability via LangSmith
2. LangGraph
Build resilient language agents as graphs.
What sets it apart: Unlike CrewAI (high-level role-based crews), LangGraph provides low-level graph-based orchestration with durable execution and memory — trusted by Klarna, Replit, and Elastic for production stateful agents
Best for: Teams building long-running stateful agents that need durable execution and human-in-the-loop; LangChain ecosystem users wanting production-grade agent orchestration with LangSmith observability
3. crewAI
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
What sets it apart: Unlike LangGraph (low-level graph orchestration requiring LangChain), CrewAI is a standalone high-level framework where you define agent roles and goals — the simplest path from idea to production multi-agent system
Best for: Teams building multi-agent systems with role-based collaboration (researcher, writer, reviewer); Enterprises wanting a standalone framework without LangChain dependency
4. Flock
Desktop multi-agent harness with visual workflows, built with Rust, Tauri, React, and langgraph-rust
What sets it apart: vs Dify/Flowise: native human-in-the-loop approval, subgraph nodes for modular reuse, and MCP protocol support for flexible tool integration
Best for: Teams building conversational AI with visual workflow design; Organizations needing human-in-the-loop agent workflows
5. FastGPT
AI agent building platform with data processing, model invocation, visual workflows, and Docker deployment
What sets it apart: Provides a visual workflow orchestration system specifically for building and deploying AI agents.
Best for: developers building complex AI agent applications; visual workflow design for agents; deploying question-answering systems
6. MaxKB
🔥 MaxKB is an open-source platform for building enterprise-grade agents.
What sets it apart: Combines enterprise-grade agent building with comprehensive RAG pipelines and MCP tool-use capabilities in an open-source package.
Best for: Enterprise agent development; Intelligent customer service systems; Corporate internal knowledge bases
7. Semantic Kernel
Integrate cutting-edge LLM technology quickly and easily into your apps
What sets it apart: vs LangChain: enterprise-grade with native .NET/C#/Java support and Microsoft backing; vs CrewAI: more flexible plugin architecture with MCP support and process framework
Best for: Enterprise .NET/C# shops building AI agents; Multi-agent systems requiring complex orchestration; Teams already invested in Azure ecosystem
8. Spring AI Alibaba
Agentic AI Framework for Java Developers
What sets it apart: A production-ready Java framework with integrated admin platform for agent observability and MCP management.
Best for: Java developers building agentic applications; Creating complex multi-agent workflows; Enterprise agent platforms requiring observability
FAQ
- What are the best alternatives to Bisheng?
- The closest open-source alternatives to Bisheng are LangChain, LangGraph and crewAI, followed by Flock, FastGPT and MaxKB. They are ranked by how closely they match what Bisheng does.
- Which Bisheng alternative is the most popular?
- LangChain has the most GitHub stars among Bisheng alternatives, with 147,399 stars.
- Which Bisheng alternative is the most actively maintained?
- By recent activity, LangChain (542 commits in the last 90 days) is the most actively developed alternative.