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PraisonAI
by MervinPraison
Low-code, production-ready framework for building and orchestrating multi-agent LLM systems
Python
Updated Feb 5, 2026
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What It Does
Enable construction and management of multi-agent LLM systems with a low-code Python framework. Provides agent templates agent templates, orchestration patterns, and human-in-the-loop hooks to compose agents that delegate, coordinate, and solve complex tasks. Distinctive for its production-ready focus and emphasis on customization and collaboration workflows.
Why It Matters
As agents become more autonomous and delegate subtasks, teams need clear patterns for coordination, failure handling, and human oversight. PraisonAI gives practitioners a practical framework to build, run, and iterate multi-agent flows so you can expose agent behavior and diagnose interaction faults. That visibility is a prerequisite for measuring agent reliability and building trust across agent-to-agent workflows, often facilitated by MCP-based workflows like those described in the MCP-based patterns.
Ideal For
Teams building production multi-agent workflows who want a low-code SDK with human-in-the-loop controls and customization. For teams needing reliable orchestration and oversight, PraisonAI supports human-in-the-loop workflows to keep agents aligned with goals.
Applications
- Compose specialist agents to solve complex tasks and route subtasks automatically
- Add human-in-the-loop checkpoints and governance to agent workflows
- Iterate and deploy multi-agent pipelines with reusable agent templates and orchestration patterns
Works With
openaihuggingfacelangchain
Topics
agentsaiai-agent-frameworkai-agent-sdkai-agentsai-agents-frameworkai-agents-sdkai-framworkaiagentaiagentframework+10 more
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Keywords
multi-agent orchestrationagent delegationproduction agent monitoring