Serverless sandboxes that bill only for the seconds your agent's code runs
AI attention layer that learns what matters to you and surfaces priorities before they slip
Stage
MVP
MVP
Founded
Not given
Not given
Based in
MX
Not given
Pricing model
Freemium
Free
Pricing
Shark Pro $5/month includes $5 of usage; Shark Studio $25/month includes $25; Shark Scale $100/month includes $100. Commands run at $0.12 per compute-hour, billed per second only while running. Services: 2 vCPU / 2 GiB at $0.03/h; 4 vCPU / 4 GiB at $0.06/h. Storage $0.08/GiB-month with first 5 GiB f
Not given
Key features
Persistent Space for agent files and databases
Pay only for compute time while command runs, not idle or thinking time
HTTP API with Python and TypeScript SDKs
CLI for devbox with Claude Code and Codex support
Sleeping services that wake in milliseconds
Fork Spaces fast without booting VM
API key isolation outside VM with egress proxy
Fast file search with sharkfn 300–600× faster than ripgrep
Integration with LangChain, LangGraph, smolagents, and Prefect
Connects to Gmail, Google Calendar, Slack and Google Meet
Shadow mode analyzes 30 days of past communications
Resolves people across channels into canonical contacts
Captures meeting decisions with reasoning and participants
Joins Google Meet as visible participant or captures from device
AI assistant Thara searches professional context and answers questions
Earns autonomy progressively through repeated approvals
Coverage honesty alerts when data sources fall behind
Categorizes attention into Needs You, Might Need You and Watching tiers
What makes it different
Billing only for seconds code actually runs, not idle or thinking time
Lowest cost compared to alternatives for agent infrastructure
Persistent Storage with fast Space fork and file access without VM boot
No GPU required, works with unmodified existing agent harnesses
Sleeping services wake in milliseconds with zero idle billing
Never claims certainty, only surfaces what may matter based on evidence
Learns around the way you work across different roles and professions
Maintains decision memory with reasoning and what changed
Requires explicit approval before acting on consequential items
Operates with read-only access and full user control over what is remembered
Attunefy