# Mangaba-ai/mangaba\_ai

<https://repo.masters-masters.com/en/repos/Mangaba-ai/mangaba_ai>

[Home](https://repo.masters-masters.com/en) › [Mangaba-ai](https://repo.masters-masters.com/en/owners/Mangaba-ai) › [mangaba\_ai](https://repo.masters-masters.com/en/repos/Mangaba-ai/mangaba_ai)

Mangaba-ai/mangaba\_ai has 208 stars on GitHub. Its RepoMasters card: Prototype tier. Framework profissional de orquestracao multi-agente em Python: crews…

| Field | Value |
| --- | --- |
| Owner | [Mangaba-ai](https://repo.masters-masters.com/en/owners/Mangaba-ai) |
| Stars | 208 |
| Forks | 52 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2025 |
| Topics | ai-agents, crewai-alternative, llm-agents, model-context-protocol, multi-agent-systems, ollama, python, rag |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Mangaba-ai/mangaba\_ai](https://github.com/Mangaba-ai/mangaba_ai) |

## Repository

Framework profissional de orquestracao multi-agente em Python: crews, flows orientados a eventos, ReAct, RAG, memoria, MCP/A2A e multi-provider LLM

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.