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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 provisionally postponed to December 2, 2027 (2026 Digital Omnibus); 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.
Using Claude Code? See the Claude Code connector for durable, crash-proof telemetry backed by a local write-ahead log.