As AI writes more production code, enterprises need traceable, auditable AI decision trails. CVC provides compliance by architecture, not by policy.
Everything you need for enterprise AI governance
Every AI decision is recorded in a Merkle DAG — the same cryptographic structure used by Git and Bitcoin. History cannot be rewritten.
Real-time compliance scores (0-100%) per session. Event filtering by type, risk level, and date range. Built for SOX, HIPAA, and SOC2.
Run CVC completely offline with Ollama. Zero data leaves your network. Perfect for classified, ITAR, and pre-patent work.
Push and pull cognitive state between team members. Shared AI knowledge base. Like GitHub, but for AI thinking.
Track API spend per developer, per project, per session. CVC's prompt caching saves ~90% on restores — see the savings in real-time.
Three trust levels: Strict (always prompt), Smart (auto-allow safe ops), Yolo (full autonomy). 40+ safe patterns, 30+ risky patterns.
Transfer AI knowledge between projects with cvc inject. Onboard new team members instantly by importing relevant AI sessions.
AI agents learn from corrections and never repeat mistakes. Lessons persist across sessions and are workspace-aware.
From developer laptop to enterprise data center
pip install tm-ai on each developer machine. Each developer gets their own .cvc/ database. Zero infrastructure needed.
Docker deployment behind your firewall. Shared ChromaDB for team-wide semantic search. SSO integration.
Managed cloud service. Team sync, web dashboard, shared memory pools, compliance reports. Like GitHub for AI cognition.
Measurable impact from day one
Free for individuals. Affordable for teams. Custom for enterprise.
Full CVC for individual developers
Sync, shared memory, and team analytics
Air-gapped, compliance, dedicated support
Let's discuss how CVC fits your enterprise requirements — compliance, deployment, and team workflows.
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