Your agents. Our agents. One operational ecosystem.
Put native AI agents to work across operations
- Deploy native AI SRE agents to investigate complex root-cause investigations across your stack
- Receive explainable diagnostic evidence and step-by-step remediation plans for human review
- Accelerate resolution while keeping engineers in full control
Bring the agents and AI workflows you already use
- Connect customer-built and third-party agents without re-architecting your existing tech stack
- Extend production context into tools like Cursor, Copilot, or custom LLMs via open interfaces
- Preserve existing AI investments, prompts, and developer workflows
Give every agent a deeper understanding of your operations
- Connect telemetry, topology, dependencies, and changes into a shared operational context
- Deliver pre-correlated payloads in one round-trip to eliminate repeated raw-data queries
- Ground agent reasoning in validated system state to stop hallucinations and speed resolution
Connect agents, tools, and intelligence across your stack
- Extend your agentic ecosystem by connecting New Relic intelligence with external agents and tools
- Expose operational context through open standards including Model Context Protocol (MCP) and open APIs
- Apply role-based access controls and policy limits to keep all agent interactions secure
Explore the New Relic Agentic Ecosystem
Agentic Ecosystem FAQs
The New Relic Agentic Ecosystem brings New Relic, customer-built, and third-party AI agents together with trusted operational context through an open ecosystem, helping teams investigate issues, coordinate workflows, and act faster without replacing existing AI investments.
The ecosystem supports New Relic native agents (such as Autopilot), partner agents (like GitHub Copilot or Cursor), and custom customer-built AI agents. Through open standards like Model Context Protocol (MCP) and APIs, any agent can access real-time operational context.
New Relic Autopilot launches specialized AI agents, beginning with SRE Agent, to investigate complex issues, surface diagnostic evidence, and guide teams toward resolution.
New Relic Ground Truth provides trusted operational intelligence that agents can use to better understand applications, infrastructure, services, dependencies, incidents, changes, and business context. It grounds agent reasoning in real-time system state to stop LLM hallucinations and token-burning polling loops.
No. Ground Truth and Autopilot can deliver value independently. Ground Truth provides trusted operational intelligence for AI, while Autopilot orchestrates specialized operational agents. Together, they provide a more connected experience within the broader Agentic Ecosystem.
Yes. The Agentic Ecosystem is built for openness. Through open standards like MCP, integrations, and open APIs, organizations can connect customer-built agents, internal LLMs, and existing AI workflows without replacing their tech stack.
Model Context Protocol (MCP) provides a standards-based way for AI agents and tools to access New Relic capabilities and operational context, helping organizations connect existing AI investments without building custom integrations for every use case.
The Agentic Ecosystem brings together key building blocks of New Relic Autonomous Operations: native and external agents, trusted operational intelligence, open connectivity, and governed workflows. Together, these capabilities help teams achieve operations that detect, understand, guide, and increasingly coordinate responses with more autonomy.