mangaba_ai

About mangaba_ai

Mangaba AI Framework profissional de orquestração multi-agente com ReAct reasoning, function calling nativo, RAG, memória persistente, protocolos A2A/MCP, vector stores e suporte resiliente a múltiplos provedores LLM. -- Execute o exemplo abaixo em 1 comando (veja ): Alternativa leve e completa a CrewAI + LangChain em um único pacote, com interoperabilidade real entre provedores, arquitetura resiliente e comunicação

ai-agents crewai-alternative llm-agents model-context-protocol multi-agent-systems ollama python rag

Quick Facts

Stars	208
Forks	51
Language	Python
Category	MCP Server
License	MIT
Quality Score	32.75/100
Open Issues	4
Last Updated	2026-10-18
Created	2025-04-08
Platforms	mcp, python
Est. Tokens	~36k

Compatible Skills

These tools work well together with mangaba_ai for enhanced workflows:

a2a-adapter — semantic(0.28)+complementary+same_lang+similar_pop+shared_platform (55%)
honeypot — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (50%)

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Frequently Asked Questions

What is mangaba_ai?

mangaba_ai is Framework profissional de orquestracao multi-agente em Python: crews, flows orientados a eventos, ReAct, RAG, memoria, MCP/A2A e multi-provider LLM. It is categorized as a MCP Server with 208 GitHub stars.

What programming language is mangaba_ai written in?

mangaba_ai is primarily written in Python. It covers topics such as ai-agents, crewai-alternative, llm-agents.

How do I install or use mangaba_ai?

You can find installation instructions and usage details in the mangaba_ai GitHub repository at github.com/Mangaba-ai/mangaba_ai. The project has 208 stars and 51 forks, indicating an active community.

What license does mangaba_ai use?

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

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