LineWalker
bf776091a8
用户澄清真实案例：腾讯 ima 把自己做成技能包（ima-skills-1.1.9.zip） 供 openclaw 这类 Agent 安装，接入两步都是「复制一段东西交给 Agent」。 实地下载解包取证（S21），据此重写交付形态。 撤销两处判断： - 「skill 包不是一种接入形态」——错。对 A 类通用 Agent 它就是接入形态 - 「remote MCP server 是必做项」——那是 B 类（WorkBuddy）的要求，本期不承诺 B 类 新增核心区分（§3.5）：目标 Agent 分两类 - A 类 有执行能力的通用 Agent（openclaw/Claude Code/自研）：技能包 + HTTP + 个人密钥，对方不必开任何口子；跑在用户可控环境里，**连通性 风险随之消解**（D14 改判） - B 类 平台内配插件（Coze/豆包/WorkBuddy/钉钉）：各家形态不同，D18 二期 §4.10.7 重写：技能包必备件（对标 ima 拆包）、私有化三处差异 （base URL 不可硬编码 / allowed_domains 随实例生成 / 由本实例分发）、 平台现成件（dev_toolkit/skills 包结构 + 匿名分发端点 + 内置包先例）。 标注一处会卡链路的格式差异：现端点产 gzip tarball，ima 用 zip。 §4.10.5 第 4 项改为「给 Agent 的安装提示词」，须按当前实例地址动态生成。 新增 AC-P18~P21（安装提示词带实例地址 / 技能包可解包安装 / 安全白名单 随实例生成 / 端到端链路验收）、附录 A.2-bis ima 拆包记录、S21 来源、 A.8-bis 补 S21 取证性质与 openclaw 未取证的限定、附录 F 两条措辞红线。 Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Proudly made by Chinese，May we, like the creators of Deepseek and Black Myth: Wukong, bring more wonder and greatness to the world.
源自中国匠心，希望我们能像 [Deepseek]、[黑神话：悟空] 团队一样，给世界带来更多美好。
BISHENG is an open LLM application devops platform, focusing on enterprise scenarios. It has been used by a large number of industry leading organizations and Fortune 500 companies.
"Bi Sheng" was the inventor of movable type printing, which played a vital role in promoting the transmission of human knowledge. We hope that BISHENG can also provide strong support for the widespread implementation of intelligent applications. Everyone is welcome to participate.
Features
- Lingsight, a general-purpose agent with expert-level taste: Through the AGL(Agent Guidance Language) framework, we embed domain experts’ preferences, experience, and business logic into the AI, enabling the agent to exhibit “expert-level understanding” when handling tasks.
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Unique BISHENG Workflow
- 🧩 Independent and comprehensive application orchestration framework: Enables the execution of various tasks within a single framework (while similar products rely on bot invocation or separate chatflow and workflow modules for different tasks).
- 🔄 Human in the loop: Allows users to intervene and provide feedback during the execution of workflows (including multi-turn conversations), whereas similar products can only execute workflows from start to finish without intervention.
- 💥 Powerful: Supports loops, parallelism, batch processing, conditional logic, and free combination of all logic components. It also handles complex scenarios such as multi-type input/output, report generation, content review, and more.
- 🖐️ User-friendly and intuitive: Operations like loops, parallelism, and batch processing, which require specialized components in similar products, can be easily visualized in BISHENG as a "flowchart" (drawing a loop forms a loop, aligning elements creates parallelism, and selecting multiple items enables batch processing).
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Designed for Enterprise Applications: Document review, fixed-layout report generation, multi-agent collaboration, policy update comparison, support ticket assistance, customer service assistance, meeting minutes generation, resume screening, call record analysis, unstructured data governance, knowledge mining, data analysis, and more.
The platform supports the construction of highly complex enterprise application scenarios and offers deep optimization with hundreds of components and thousands of parameters.
- Enterprise-grade features are the fundamental guarantee for application implementation: security review, RBAC, user group management, traffic control by group, SSO/LDAP, vulnerability scanning and patching, high availability deployment solutions, monitoring, statistics, and more.
- High-Precision Document Parsing: Our high-precision document parsing model is trained on a vast amount of high-quality data accumulated over past 5 years. It includes high-precision printed text, handwritten text, and rare character recognition models, table recognition models, layout analysis models, and seal models., table recognition models, layout analysis models, and seal models. You can deploy it privately for free.
- A community for sharing best practices across various enterprise scenarios: An open repository of application cases and best practices.
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
# If the system does not have the git command, you can download the BISHENG code as a zip file.
wget https://github.com/dataelement/bisheng/archive/refs/heads/main.zip
# 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
Acknowledgement
This repo benefits from langchain langflow unstructured and LLaMA-Factory . Thanks for their wonderful works.
Thank you to our contributors：
Community & contact
Welcome to join our discussion group
