What is MeshAI?
MeshAI provides unified observability, governance, and cost intelligence for enterprise AI agent deployments. It discovers, monitors, and governs all AI agents across your organization, regardless of framework or vendor.The Problem
Organizations are deploying AI agents faster than they can track them. This creates:- Agent sprawl: 144:1 non-human identities per employee, most ungoverned
- Reliability gaps: 20-step agent chains have only ~36% end-to-end reliability
- Cost opacity: Token spend is invisible and unattributed across teams
- Compliance risk: EU AI Act high-risk obligations postponed to December 2, 2027 (2026 Digital Omnibus, Council-adopted June 2026); audit-ready evidence still needs 12+ months of history
Four Pillars
Agent Discovery & Registry
Auto-discover all AI agents. Detect shadow agents, maintain a living inventory, monitor health in real time.
ML-Powered Anomaly Detection
Four detection algorithms catch cost spikes, reliability decay, behavioral drift, and security threats every 5 minutes.
Cost Intelligence
Token-level spend attribution by team, project, and agent. Budget guardrails with automatic enforcement.
Governance & Compliance
Eight policy types enforced in real-time. HITL approval workflows. Oversight metrics and incident evidence packs prove human oversight is real, not decorative. Agent-to-agent delegation mapping traces multi-agent chains. EU AI Act readiness scoring.
Three Ways to Connect
Proxy (Zero-Code)
One env var change. All LLM requests flow through MeshAI’s transparent proxy for automatic monitoring.
SDK (Code)
Python SDK with auto-tracking for 11 frameworks: OpenAI, Anthropic, CrewAI, LangChain, AutoGen, and more.
MCP Server
Governance and observability for MCP-compatible tools that don’t support a custom base URL, like Claude Desktop, VS Code, and JetBrains IDEs.