wavefront

About wavefront

Enterprise AI Middleware For Building Production Ready AI Applications Open source alternative to UnifyApps, LyzrAI, SuperAGI & AgentGPT Alternative to n8n, for building enterprise grade AI workflows GitHub • Website • Docu

agentic-ai agentic-rag ai-guardrails ai-middleware ai-workflow crewai enterprise flo-ai langchain langgraph

Quick Facts

Stars	201
Forks	29
Language	Python
Category	MCP 服务器
Quality Score	39.646/100
Open Issues	17
Last Updated	2026-06-15
Created	2024-07-25
Platforms	mcp, python
Est. Tokens	~15k

Compatible Skills

These tools work well together with wavefront for enhanced workflows:

pydantic-ai-middleware — semantic(0.26)+complementary+rare_topics+same_lang+similar_pop+shared_platform (63%)
BRAD-Video — semantic(0.25)+complementary+rare_topics+same_lang+similar_pop+shared_platform (58%)
agentic-ai-engineering — semantic(0.18)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
BRAD — semantic(0.16)+complementary+rare_topics+same_lang+similar_pop+shared_platform (55%)
CodeRAG — semantic(0.15)+complementary+rare_topics+same_lang+similar_pop+shared_platform (55%)

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Frequently Asked Questions

What is wavefront?

wavefront is 🔥🔥🔥 Enterprise AI middleware, alternative to unifyapps, n8n, lyzr. It is categorized as a MCP 服务器 with 201 GitHub stars.

What programming language is wavefront written in?

wavefront is primarily written in Python. It covers topics such as agentic-ai, agentic-rag, ai-guardrails.

How do I install or use wavefront?

You can find installation instructions and usage details in the wavefront GitHub repository at github.com/rootflo/wavefront. The project has 201 stars and 29 forks, indicating an active community.

View on GitHub → Browse MCP 服务器 tools