AgentScore (Latitude) logo — Open-source AI agent monitoring that scores your agent daily and flags production issues.

AgentScore (Latitude) — Open-source AI agent monitoring that scores your agent daily and flags production issues.

#12 in AI Agents & Infrastructure⚡ 20 KP

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AgentScore (Latitude) at a glance

Category
AI Agents & Infrastructure
Best for
Startup, Enterprise
Agent compatibility
Agent Ready · MCP Native
Website
latitude.so ↗
X (Twitter)
@trylatitude ↗
Last updated
29 Sept 2026

About AgentScore (Latitude)

Latitude is an open-source AI agent monitoring platform for teams running agents in production. It discovers failing behavior automatically, sends alerts, and can dispatch coding agents to implement fixes. AgentScore gives a daily score showing whether your agent is improving. It ingests telemetry via SDK or OpenTelemetry and offers an MCP server and a free tier.

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Frequently asked questions

Is Latitude open source?

Yes. The code is on GitHub at latitude-dev/latitude-llm.

How do I send data to it?

Through the SDK or an OpenTelemetry-compatible telemetry pipeline.

Does it work with AI agents and MCP?

Yes, Latitude provides an MCP server for agent integration.

Is there a free plan?

A free tier is available with core features and a setup of under 5 minutes.

Is AgentScore (Latitude) agent ready?

Yes — AgentScore (Latitude) is listed as Agent Ready and MCP Native on Maarket.

Who is AgentScore (Latitude) best for?

AgentScore (Latitude) is listed as a fit for Startup, Enterprise teams.

What does AgentScore (Latitude) do?

Open-source AI agent monitoring that scores your agent daily and flags production issues.

What are the alternatives to AgentScore (Latitude)?

Other AI Agents & Infrastructure products on Maarket include Alexandria by Firecrawl, Answers by Context.dev, Aside, Buddy AI Access (MCP), ChatGPT, Claude.

How is AgentScore (Latitude) ranked on Maarket?

Purely by Karma Points earned from community actions — reviews, recommends, use signals and clicks. There is no pay-to-rank; sponsor placements are always clearly labeled.

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