Mycelis

Categories: Coding & Developer Tools, Automation / Agents, Data Analysis | Pricing: Pricing unavailable | Official Website ↗

Mycelis provides a unified runtime for deploying, routing, and scaling AI agents, offering private AI infrastructure from compute to agents.

Mycelis offers a private AI infrastructure designed for deploying, routing, and scaling AI agents. It provides dedicated GPU instances, managed keys for commercial models like OpenAI and Anthropic, and tools for fine-tuning models with custom data (LoRA). The platform emphasizes data sovereignty, allowing for on-premise or EU-hosted deployments compliant with GDPR. The core of Mycelis is its unified agent runtime, which enables users to connect open-source or frontier models and integrate custom tools via the Model Context Protocol (MCP). A key feature is Smart Routing, which automatically directs requests to the cheapest suitable model, potentially reducing API costs by up to 70% while maintaining output quality. It also includes Knowledge Bases for RAG, semantic caching, and an OpenAI-compatible API gateway.

Key Features

Private AI infrastructure
Dedicated GPU instances
BYOK & Managed Keys for commercial models
Intelligence Agents & Smart Routing
Fine-Tuning (LoRA)
Knowledge Bases & RAG
Semantic Cache
MCP Tools integration

Pros

Reduces API costs by up to 70% through Smart Routing
Offers absolute data sovereignty with on-premise or EU-hosted options
Provides zero vendor lock-in with OpenAI-compatible proxy
Supports fine-tuning models with own data
Transparent, pay-as-you-go pricing with no base fees

Cons

Pricing can be complex due to hourly billing and various components
Requires technical expertise for setup and management
No explicit mention of a free tier, only 'start for free' with managed keys
Limited information on specific GPU types or instance configurations
Focuses heavily on developers and enterprises, potentially less accessible for casual users

Use Cases

Deploying and scaling AI agents
Optimizing AI model costs with intelligent routing
Building custom chatbots with RAG and fine-tuned models
Ensuring data sovereignty and GDPR compliance for AI applications
Integrating internal tools and APIs into AI agent workflows

Best For

AI Engineers
Product Teams
Enterprises requiring data privacy and compliance
SMBs looking for cost-effective AI deployment
Developers building AI agents

Integrations: OpenAI, Anthropic, DeepSeek, Gemma 4, Claude 4.7, GPT-4o, Gemini

Platforms: Web

Watch demo on YouTube ↗

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