Agent harness infrastructure that gives AI agents memory for each user, connected accounts, action limits and an audit record.
Stage
Not given
Not given
Founded
Not given
Not given
Based in
US
CA
Pricing model
Paid
Freemium
Pricing
Starter plan is free with $30/month compute credits. Team plan is $250/month plus compute. Enterprise plan is custom. Compute is billed per second for CPU, GPU, and memory with no charges for idle time.
Free: first 500 monthly-active end users per month, free forever. Paid: $0.30 per monthly-active end user above 500, billed monthly.
Key features
Serve LLMs, image, video, and audio models
Isolated environments for coding agents and RL rollouts
Fine-tune and train models on GPUs
Autoscale compute from zero to thousands of GPUs
Distributed storage for models and weights
Global capacity across 20+ clouds
Serverless functions with HTTPS endpoints
Out-of-the-box observability and logs
Timestamped memory ingestion with backdating capability
Per-user data isolation and privacy scoping
Ranked memory recall with dated evidence
Connected accounts integration per user
Long-running agent jobs with folder-level operations
Configurable token ceiling per API call
Enforced action limits on agent operations
Complete action audit trail with hash chaining
MCP server integration for Claude and other clients
What makes it different
Custom infrastructure built for AI including container runtime, storage, and scheduler
Sub-second container startup times for GPU workloads
Pay only by the second with no idle charges
Programmatically create millions of concurrent sandboxes
Highest published BEAM benchmark score at 128K tokens: 85.1, compared to competing memory systems
98% fewer tokens required than raw tool output, making responses 4× cheaper
Works with 20+ agent frameworks including LangChain, LangGraph and LlamaIndex
First 500 monthly-active end users free forever
Per-person billing model scales with user growth, not API calls