Serverless inference with per-token pricing (pay for output, input, and cached tokens). Training pricing from $0.50 to $10.00 per 1M training tokens depending on model size and fine-tuning type. On-demand deployments at $0.134 to $0.334 per minute ($8 to $20 per hour) for various GPU types.
Not given
Key features
Guided training runs
Configuration-led training
Custom training logic
Serverless inference
On-demand dedicated deployments
Reserved capacity
OpenAI compatible API
Model library with latest open models
Reinforcement learning support
Multi-region deployments
Connect once through MCP endpoint across Claude, ChatGPT, Cursor and Claude Code
Shared memory automatically synced across all connected AI tools
Plain markdown storage with YAML frontmatter
EU-hosted data with no vendor lock-in
Lexical search across memory
No API keys or complex configuration needed
Account created automatically on first connection
What makes it different
Drop-in replacement for closed-model APIs with cost savings of 50-75%
Instant production deployment from any training checkpoint in seconds
Optimized inference engine for industry-leading throughput and latency
Elastic and global RL inference scaling
Own the complete learning loop for specialized intelligence
Cross-vendor memory through MCP instead of locked to one assistant
Plain readable markdown you own forever, not black-box vectors or rented format
EU-hosted by architecture so data stays in your region
Survives AI tool changes and deprecations unlike built-in assistant memory
No maintenance needed unlike DIY scripts and cron jobs
Agentage Memory