
MIT research and coding assistant using dynamic agent orchestration, configurable models and MCP tools.
AIlice is an MIT-licensed assistant for developers exploring research, coding and document workflows. Its agent orchestration can combine model responses, tool use and script execution, with multimodal and voice features.
You can run it locally or through Docker and configure hosted or local model providers. Supported options include OpenAI-compatible endpoints, Anthropic, OpenRouter, Groq, Mistral, DeepSeek, Ollama/LiteLLM, LM Studio and Hugging Face models; MCP and extension modules add tools.
The source is free, but model calls, hardware, hosting and maintenance are separate costs. The repository’s last recorded push was August 2025, and older installation videos may use different model or setup options.
Product overview
AIlice is an MIT-licensed assistant for developers exploring research, coding and document workflows. Its agent orchestration can combine model responses, tool use and script execution, with multimodal and voice features.
Information as of October 8, 2026
The exact MIT project uses Interactive Agents Call Tree orchestration for research, coding, script execution and document workflows, with multimodal/voice features and configurable tools. Self-expansion goals and completed modules are separated[1]
Source and local/Docker setup are available, with a linked hosted exploration path. Provider configuration, keys and hardware depend on deployment; repo last pushed August 2025. Docker/GUI documentation supersedes old claims that container use is unimplemented.[1]
The README documents MCP tools, extension modules and configurable hosted/local providers including OpenAI-compatible endpoints, Anthropic, OpenRouter, Groq, Mistral, DeepSeek, Ollama/LiteLLM, LM Studio and Hugging Face models. Repository/community links alone do not establish native GitHub or email workflows.[1]
MIT source is accessible, while model calls, local hardware, hosting and maintenance remain separate costs. A free source licence is not free inference or a guarantee of production readiness.[1]
Platforms: Developer-managed source[1]
Access: Source and local/Docker setup are available, with a linked hosted exploration path. Provider configuration, keys and hardware depend on deployment; repo last pushed August 2025. Docker/GUI documentation supersedes old claims that container use is unimplemented.[1]
81/100
Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.
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