Mangaba-ai / mangaba_ai
Framework profissional de orquestracao multi-agente em Python: crews, flows orientados a eventos, ReAct, RAG, memoria, MCP/A2A e multi-provider LLM
Why this job: says: rag; topics: rag
What it does
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.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 22 days ago
- Stars
- 208
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v4.0.0
- Released 22 days ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- 1
- Last 90 days
- Issues
- 67% closed
- 2 still open
- Pull requests
- 13 merged
- 3 waiting
- Releases
- 2
- 2 in the last year
- No contributing guide
- No security policy
- No code of conduct
More: languages, topics and project record
Languages
- Python 100%
- Shell <1%
- PowerShell <1%
- Batchfile <1%
Topics
- ai-agents
- crewai-alternative
- llm-agents
- model-context-protocol
- multi-agent-systems
- ollama
- python
- rag
Project record
- JobRAG and search
- StatusListed
- Commits73
- Forks52
- Watching7
- Stars in 28 days+1
- CreatedApr 8, 2025
- First seen by usNov 7, 2026
- CheckedNov 7, 2026