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openmake_llm

MCPOpen source

Self-hosted AI workspace for local & BYOK LLMs with agents, MCP tools, and deep research.

24MIT

Open-source, self-hosted AI workspace for local and open-weight LLMs with vLLM, LiteLLM, autonomous agents, MCP tools, deep research, artifacts, and BYOK.

Pros

  • +Local-first with vLLM/LiteLLM for privacy and control
  • +Role-based model orchestration for flexible AI workflows
  • +Includes autonomous agents, deep research, and MCP tool support
  • +Docker sandboxing for security and isolation

Cons

  • −Requires significant setup and infrastructure (Docker, PM2)
  • −Steep learning curve for non-technical users
  • −Single-host design may limit scalability

Target audience: Developers and technical teams seeking a self-hosted, privacy-focused AI workspace with advanced features like agents and MCP integration.

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