The Enterprise Agent Build & Runtime for the work your business runs on
Memory that follows you between AI apps
Stage
Not given
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Founded
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Based in
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Pricing model
Freemium
Open source
Pricing
Free plan with 50 workflow executions per month and visual editor. Enterprise plan with custom pricing includes governance, dedicated VPC, and comprehensive support.
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Key features
Visual editor and AI copilot
No-code visual editor, exportable to Python
Code-first API built for total control
Real-time tracing of every LLM call, tool call, and memory read
RBAC and audit with immutable audit trails and Enterprise IAM
Human-in-the-loop approval gates and intervention during execution
Runtime hooks inject PII redaction and policy checks
Automated and human-guided training for continuous improvement
Multi-LLM testing for model swapping at runtime
GitHub integration
Connect to Claude via custom connector in Settings
Add to ChatGPT with developer mode
Automatic session save for Claude Code and Codex
Save and resume sessions with brief summaries
GitHub sign-in for private separate memory
Delete individual memories or all data by email
Zero model calls to save a session
Session brief generated in ~450 tokens
What makes it different
Agentic use case generator powered by billions of agent runs
Intelligently guided by 700k agent workflow patterns
Control Plane sits in execution path ensuring every agent interaction is observable, compliant, and reversible
Every production run turns into training data to sharpen accuracy and save money
Shared memory across multiple AI apps and agents, not confined to one app
Setup in about one minute with no credit card or waitlist
Open source code so users can verify data handling
No data selling, ads or use for AI model training
Private per-account database with no cross-account access
CogniCore