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coze-loop

Next-generation AI Agent Optimization Platform: Cozeloop addresses challenges in AI agent development by providing full-lifecycle management capabilities from development, debugging, and evaluation to monitoring.

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makeGocozeprompt-managementplaygroundagentaiagent-evaluationobservabilityopenaiagent-appagentopsopen-sourcellm-observabilityeinoagent-observabilityevaluationlangchainllmopsmonitoring

Coze-loop is an open-source AI Agent optimization platform that covers the full lifecycle of agent development: development, debugging, evaluation, and monitoring. It is written in Go, licensed under Apache-2.0, and ships with an AGENTS.md and a Make-based toolchain.

It consolidates prompt management, evaluation, and LLM observability into a single platform when your agent project needs lifecycle tooling beyond the code itself.

Use it to

  • Manage and version prompts for agent development
  • Run evaluations on agent and LLM outputs
  • Monitor LLM observability traces in production
  • Debug agents in a playground environment
  • Build agent ops workflows on open-source infrastructure

For Developers building and operating LLM-based agents

Role
agent-app
Language
Go
Licence
Apache-2.0
Forks
794
Open issues
44
Last push
2026-09-15
Latest release
v1.0.0 · 2025-08-01
topicsagentsllmopsevaluationobservabilityprompt-managementmonitoring