Loggles FAQs

Question 1

What is Loggles and how does it help developers?

Accepted Answer

Loggles is a local-first log sink designed to capture structured log data directly from your development applications via OTLP. It transforms your coding agent into a runtime companion, enabling AI tools to efficiently query, filter, and analyze logs for streamlined bug investigation and real-time runtime observation.

Question 2

Can Loggles help with live debugging and monitoring application behavior?

Accepted Answer

Yes, Loggles is designed to assist with live debugging and monitoring. By allowing your AI agent to query logs in real-time—filtering by trace ID, time window, or service—you can narrate application behavior without attaching a traditional debugger, making it ideal for observing runtime actions and investigating issues.

Question 3

How does Loggles integrate with AI coding agents like Claude Code or Cursor?

Accepted Answer

Loggles utilizes a Multi-Modal Companion Protocol (MCP) to allow AI agents to interact directly with your logs. For Claude Code, a dedicated debug skill facilitates investigative debugging or exploratory runtime observation. For Cursor, integration involves adding Loggles to its MCP server configuration.

Question 4

What logging protocols and languages does Loggles support?

Accepted Answer

Loggles primarily ingests logs via OTLP (OpenTelemetry Protocol) using HTTP/protobuf. This supports a wide range of languages including .NET, Node.js, Python, Go, Java, Ruby, and PHP, making it versatile for various development environments.

Question 5

What are the storage and authentication options available in Loggles?

Accepted Answer

Loggles offers flexible storage with SQLite for simplicity and PostgreSQL for scalability. For authentication, it supports API keys for secure access and provides a local OAuth 2.0 + PKCE flow, which AI-aware MCP clients like Claude Code can negotiate automatically for seamless integration.

Loggles

Loggles

主要功能

使用案例

主要功能

使用案例