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casibase

by casibase

Enterprise AI Cloud OS with MCP/A2A routing and admin UI

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Updated Feb 3, 2026
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Summary

Provides an open-source AI Cloud OS for managing knowledge bases and agent-to-agent workflows with built-in MCP/A2A support. Implements model-context-protocol (MCP) and agent-to-agent routing alongside an admin UI, user management and SSO for enterprise deployments. Connects to ChatGPT, Claude, Llama, Hugging Face and other LLM providers for RAG, chatbots and multi-agent coordination. See how the MCP Pattern for structured context works and how the A2A Protocol Pattern enables seamless agent collaboration: MCP Pattern and A2A Protocol Pattern.

Key Benefits

As agents interact and delegate, a standard way to route context and manage identities is essential for trust and reproducibility. Casibase gives teams an operational surface for agent interactions and audit trails, making agent behavior and delegation easier to inspect. That visibility is a necessary foundation for tracking agent track records, reputation signals and pre-production evaluation pipelines. For governance and human oversight considerations, see Human-in-the-Loop.

Target Use Cases

Teams building production multi-agent systems who need MCP/A2A routing, admin controls, and integrations with major LLM providers. Consider integrating an agent registry for scalable coordination: Agent Registry Pattern.

Applications

  • Manage agent-to-agent conversations and delegate subtasks with audit logs
  • Deploy RAG-powered chatbots with centralized knowledge base and SSO
  • Integrate multiple LLM providers and standardize context delivery via MCP
  • Provide admin controls and user management for enterprise agent deployments
Works With
openaianthropichuggingfacellamaollamalangchain
Topics
a2aagentagicasibasechatbotchatgptclaudegeminigpthuggingface+10 more
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Keywords
multi-agent trusta2amcpagent-to-agent evaluationagent governance