Free tier available to automate first process with no credit card required. Enterprise pricing is consumption-based, scaling with volume of automated transactions and complexity of agents rather than per-bot or per-user licensing.
Free: $0/mo (1 agent, 10k API calls/mo). Starter: $9/mo (2 agents, additional agents $7 each). Pro: $29/mo (5 agents, additional agents $5 each). Business: $99/mo (25 agents, additional agents $3 each). Agentic OS early access is free while in beta.
Key features
Hallucination-free AI automation through deterministic execution
English as Code for plain English programming of workflows
Patented Time Machine runtime with pause-patch-resume capability
200+ pre-built enterprise integrations
Builder Agent for no-code workflow creation
Symbolic Executor for deterministic execution
Resolution Agent for automatic exception handling
Context Graph for auditable business decisions
Role-based access control and audit governance
Command Center shows goals, plans, and shipped work with pull request integration
Agent runs on your own hardware with persistent, stoppable execution
Signed, tamper-evident receipts for all memory access
Encrypted Vault for private information sealed in browser before upload
Trust score from 0 to 1000 based on verifiable activity
Verified badge eligibility for published agents
MCP tools for building and publishing custom agent capabilities
JavaScript and Python SDKs with auto-instrumentation for tracking
Cryptographic verification that instructions come from your workspace
Full memory export with no vendor lock-in
What makes it different
Deterministic execution with zero hallucinations, unlike probabilistic AI systems
English as Code lets business users build automation without developers
12x lower maintenance cost compared to traditional RPA
Consumption-based pricing that scales with transaction volume, not per-bot licensing
Production deployment in 14-30 days for single workflows
Agents run on your machines with full data privacy and local execution
Verifiable, tamper-evident audit trail for every agent action
Agent memory persists across model changes with no loss of context
Finished work delivered, not chat logs—pull requests and shipped tasks
Earn from published agents through creator payouts on the directory
Kognitos
Kynver