1. Conduid
  2. AI
  3. Langchain4j Aideepin
MCP server · AI

Langchain4j Aideepin

AI 应用平台(聊天、绘画、知识库、工作流、 MCP服务市场、语音输入输出、长期记忆) | AI application platform (Chat,Draw,RAG,Workflow,MCP marketplace, ASR,TTS, Long-term memory etc)

86Excellent

Scored 6 hours ago · breakdown

About Langchain4j Aideepin

Langchain4j Aideepin is an MCP server published by moyangzhan in the AI category: aI 应用平台(聊天、绘画、知识库、工作流、 MCP服务市场、语音输入输出、长期记忆) | AI application platform (Chat,Draw,RAG,Workflow,MCP marketplace, ASR,TTS, Long-term memory etc).

The repository has 1.4K stars and 335 forks, with the last commit 8 days ago. Recent commit activity is the strongest signal that reported issues will get attention.

Install

From source
git clone https://github.com/moyangzhan/langchain4j-aideepin

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

Static checks derived from the repository 6 hours ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • ✓Tests presentA test suite exists in the repository.
  • ✓Dependencies pinnedA lockfile pins dependency versions.
  • ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

Releases

v3.30.03.30.0 · 1 Sep 2026Release v3.30.0 What's New Knowledge base document refactor: QA-pair and parent-child segment modes with document editing page, Q&A file import and auto-indexing on upload Fully async indexing: all index triggers routed through a task…
v3.29.03.29.0 · 26 Jun 2026Long-Term Memory: Semantic + Episodic Dual Channels** Long-term memory is now split into two independent vector stores — semantic (personality traits, values, style habits, long-term concerns) and episodic (timeline of past interactions).…
v3.28.03.28.0 · 16 Jun 2026Workflow Observability** Run-level metrics (input tokens, output tokens, duration) persisted per workflow run; node-level metadata captured per node type (LLM, image, HTTP, search, mail, document, knowledge retrieval, agent) Real-time…
v3.27.03.27.0 · 27 May 2026New Features** Add configurable KB document split strategy and API key management on KB list page Update AI models (tinydolphin→qwen3:8b, cosyvoice-v2→cosyvoice-v3-flash) Bug Fixes** Fix graph extraction output language to match input…
v3.26.03.26.0 · 20 May 2026Conversation → Character Rename** Renamed "Conversation" to "Character" across entire codebase (Java, DB, frontend, API, i18n). Renamed OpenApi to ExtApi, extracted ExtApiResourceType enum. External API** New API Key-based external access…

README

Getting Started

🇨🇳 中文文档 | English

LangChain4j-AIDeepIn — AI application platform.

Integrates AI chat, knowledge base (RAG), workflow orchestration, long/short-term memory, MCP tools, and more — for rapidly building intelligent business assistants.

Demo: http://www.aideepin.com

Repository Structure

Directory Description Docs
server/ Backend service (Spring Boot + langchain4j + langgraph4j) README
admin-web/ Admin dashboard (Vue 3 + Naive UI) README
user-web/ User-facing web app (Vue 3 + Naive UI) README

Documentation

Section On GitHub Rendered site
User Guide docs/en/guide Site
API Reference docs/en/api Site
Developer Docs docs/en/dev Site

The rendered site is auto-built and published by GitHub Actions when docs/** changes on main. To run it locally: pnpm install && pnpm run docs:dev.

For deployment, see docker/README.md or each sub-project's README.

Features

Feature Description
AI Chat Multi-character (multi-conversation) with configurable prompts, models, and parameters. Streaming output
Image Generation Text-to-image and image editing. Supports GPT-Image-2, DashScope Wanx, and more
Knowledge Base (RAG) Supports both vector search and knowledge graph retrieval
AI Workflow Visual editor with conditional branching, parallel execution, and built-in nodes for LLM calls, knowledge base queries, human feedback, and more
MCP Service Marketplace Integrate MCP services to extend AI with external tools and data sources
ASR & TTS Flexible text/voice input and output combinations (text⇄text, text⇄voice, voice⇄text, voice⇄voice), with selectable AI voice tones
Short & Long-term Memory Automatically extracts and stores key information from conversations for personalized responses based on historical context
Storage Local file storage, Alibaba Cloud OSS integration
Open API RESTful API for Characters, Knowledge Bases, and Workflows — generate API keys and integrate with external systems. Supports streaming and blocking response modes

Integrated Platform Features

Model Platform Chat Image Generation Image Recognition Text-to-Speech Speech Recognition
OpenAI ✓ ✓ ✓ ✓ ✓
Qwen ✓ ✓ ✓ ✓ ✓
SiliconFlow ✓ ✓ ✓ ✓ ✓
Ollama ✓
DeepSeek ✓

Screenshots

⭐ Support the Project

If you find LangChain4j-AIDeepIn useful, please consider:

  • Starring the repository on GitHub
  • Recommending it to others
  • Sharing your experience

❤️ Thanks to

Contributors

Infrastructure Sponsor:

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README fetched from the repository 6 hours ago. The original is authoritative.

Questions

About Langchain4j Aideepin

How do I install Langchain4j Aideepin?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Langchain4j Aideepin safe to use with an AI agent?

Its trust score is 86 out of 100 (excellent). It passes 5 of the 6 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Langchain4j Aideepin still maintained?

Yes — the latest release is v3.30.0 (1 Sep 2026), and the last commit was 8 days ago. The repository has 1.4K stars and 3 open issues.