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Kognitos vs OpenRig

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Kognitos compared with OpenRig
DetailKognitos logo KognitosOpenRig logo OpenRig
What it doesNot given A persistent team of coding agents
StageEstablished Not given
Founded2020 Not given
Based inUS Not given
Pricing modelFreemium Open source
PricingFree 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. Not given
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
  • Start teams with one command and manage agents across multiple machines
  • Mix Claude Code, Codex and Pi agents in one team
  • Agents delegate and coordinate work with named task assignments and queue ownership
  • Agents message each other directly and read each other's screens
  • Restore agent conversations after restart or reboot from snapshots
  • Choose different models and reasoning effort per agent
  • Bring custom harnesses and integrate with MCP servers and Claude Desktop
  • Start Docker Compose services alongside agent teams
  • Control message filtering with typing guards and chat broadcasts
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
  • One conversation interface with a lead agent coordinating specialists behind the scenes
  • Mix multiple coding models and harnesses in one managed team
  • Run entirely self-hosted on your own machine with no external coordination
  • Open source with Apache 2.0 license and extensible harness contracts
Community votes00
DR (Domain Rating by Ahrefs)56 −1 (down) since last check28 no change since last check
Trust Flow (Majestic)116
Citation Flow (Majestic)4036
Referring domains (Majestic)692191

3 details filled in for both companies.

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