SDYJ_Multi_Agents

About SDYJ_Multi_Agents

SDYJ Multi Agents English | 中文 SDYJ Multi Agents 是一个基于 LangGraph 的多智能体研究框架。它把开放式研究任务拆成“意图识别 - 计划生成 - 人工审核 - 多源检索 - 综合报告”的可控工作流，并重点提供 Trace v2、deterministic replay、证据追踪和可作为 CI gate 的 benchmark。为什么值得关注多 Agent 工作流：Coordinator、Planner、Researcher、Rapporteur 分工协作。 Human-in-the-loop：执行研究前先展示计划，用户可批准或反馈修改。多模型适配：支持 DeepSeek、OpenAI、Claude、Gemini，统一 LLM 抽象层。多源检索：集成 Tavily、arXiv，并预留 MCP 工具适配接口。证据驱动报告：检索结果会规范化为证据项，自动去重并保留 URL、domain、query、发布时间和相关性分数。 Trace v2 可观测性：每次运行都会生成事件时间线，记录节点、LLM 调用、工具调用、routing decision、latency、错误、报告指标和 replay cache。 Deterministic Replay：可用已记录的 LLM/tool I/O...

agent agent-skills agentic-workflow langgraph llm llm-agent llm-tools multi-agent python rag

Quick Facts

Stars	50
Forks	7
Language	Python
Category	Agent Tool
License	MIT
Quality Score	64.8855506615949/100
Open Issues	2
Last Updated	2026-05-28
Created	2025-10-04
Platforms	python
Est. Tokens	~42k

Compatible Skills

These tools work well together with SDYJ_Multi_Agents for enhanced workflows:

designing-real-world-ai-agents-workshop — semantic(0.27)+complementary+same_lang+similar_pop+shared_platform (59%)
CausalAgent — semantic(0.35)+complementary+same_lang+similar_pop+shared_platform (57%)
context_engineering_MCP — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (57%)
mcp-beads-village — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (56%)
learn-hermes-agent — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (56%)

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Frequently Asked Questions

What is SDYJ_Multi_Agents?

SDYJ_Multi_Agents is A LangGraph-powered multi-agent deep research system featuring task planning, human-in-the-loop review, multi-source retrieval, evidence-grounded report generation, full tracing and reproducible evalu. It is categorized as a Agent Tool with 50 GitHub stars.

What programming language is SDYJ_Multi_Agents written in?

SDYJ_Multi_Agents is primarily written in Python. It covers topics such as agent, agent-skills, agentic-workflow.

How do I install or use SDYJ_Multi_Agents?

You can find installation instructions and usage details in the SDYJ_Multi_Agents GitHub repository at github.com/hwfengcs/SDYJ_Multi_Agents. The project has 50 stars and 7 forks, indicating an active community.

What license does SDYJ_Multi_Agents use?

SDYJ_Multi_Agents is released under the MIT license, making it free to use and modify according to the license terms.

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