Ross ROSS = Recommend OSS · open-source software intelligence for agents

coze-dev/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. observed · 2026-08-28

github.com/coze-dev/coze-loop · Go · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

74/100

  • Activity 99
  • Release rhythm 66
  • Longevity 31
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 13
  • age_days: 436
  • days_rel: 225
  • days_push: 7
  • n_releases_24m: 8

Full methodology

Adoption not part of the score

5705 stars · 795 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Coze Loop is an open-source, self-hostable platform for full-lifecycle AI agent development, offering prompt engineering with a visual playground, automated evaluation, and end-to-end observability of agent execution. It is written in Go and provides a web-based developer platform for debugging, evaluating, and monitoring LLM-powered agents.

Use cases

  • manage and version prompts for LLM apps
  • debug and compare prompts across different models in a playground
  • run automated evaluations on agent outputs
  • trace and monitor agent execution from input to output
  • capture exceptions and intermediate results in LLM pipelines
  • self-host an LLMOps platform for agent development

When to choose

  • you need prompt versioning, debugging, and comparison tooling
  • you want automated multi-dimensional evaluation of prompts and agents
  • you need full-trace observability for LLM agent execution
  • you want a self-hosted, extensible agentops platform

When to avoid

  • you only need a simple LLM API client or chat UI
  • you need a fully managed cloud service with no self-hosting overhead
  • your stack requires a platform in a language other than Go

Facets

service · maturity active

monitoring prompt-engineering agent-framework llm-inference tracing testing developer-tools large-language-models developer-tools monitoring self-hosted go cross-platform llmops agentops prompt-management agent-evaluation observability playground tracing ai-agents natural-language-processing docker web-server

1 source

Member repositories

RepositoryRoleHealth v2
coze-dev/coze-loopmain74

For agents

markdown · JSON · MCP: product_card(name="coze-dev/coze-loop")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem