Galdor adds local tracing and replay for Go AI agents
Galdor is an for building and running AI agents in Go. Version 1.0.0 was released in June 2026 under the . Its main focus is making agent behavior easier to inspect: model calls, tool calls, and workflow steps can be traced and viewed through a local dashboard backed by SQLite.
The dashboard runs from the same binary, so teams do not need a separate paid monitoring service just to see what happened during an agent run. Galdor can record a real run and replay it later under controlled conditions, which helps debug failures and compare changes before shipping them. It supports several s, including OpenAI, Anthropic, , AWS Bedrock, Ollama, and vLLM-style setups.
It also includes MCP and A2A support on both the client and server side, built-in multi-agent patterns, short-term and options, and an evaluation framework.
Key points
- Galdor is a Go framework for building AI agents, released as v1.0.0 in June 2026.
- It includes local tracing, a SQLite trace store, and a built-in dashboard.
- Replay lets teams rerun recorded agent behavior to debug and compare changes.
- Multiple s are supported, which can help test cheaper model choices.
- MCP, A2A, multi-agent patterns, memory, and evaluation tools are included.