workflowstacks
ai-agent

coze-loop: Streamline AI Agent Development and Monitoring

Accelerate your AI agent lifecycle—from coding and debugging to evaluation and real‑time monitoring. Ideal for founders building scalable LLM‑ops solutions. 5.8k+ GitHub stars.

From the repo · “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. ”

5,782 stars+14★ this week801 forksGoGuide quality 8/10 · reviewed Oct 6Updated 10/21/2026100% free · open source
What it does

Cozeloop streamlines AI agent development by providing a full-lifecycle management platform for development, debugging, evaluation, and monitoring of AI agents.

When to use it
  • •When building a complex AI system that requires multi-stage development and testing
  • •When needing to monitor and evaluate AI agent performance in real-time
  • •When requiring a unified platform for AI agent development, debugging, and deployment
Ready-to-paste prompt
cozeloop agent create --name my_agent --type reinforcement_learning --env cartpole
Heads up: Ensure you have Go (version 1.17 or higher) installed on your system before installing Cozeloop, as it is required for building and running the platform
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/coze-loop && curl -fsSL https://workflowstacks.com/api/skills/coze-loop/claude-skill -o ~/.claude/skills/coze-loop/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How coze-loop: Streamline AI Agent Development and Monitoring works
Codeflow
Free to inspect

Coze-loop: Streamline AI Agent Development and Monitoring is a very large Go project (~920k lines across 4470 code files, plus 65 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, Apache-2.0 license, has a test suite.

Size
Very large codebase
~920k lines · 4470 code files · days to read — use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Go
No API keys detected
Go 75%TypeScript 21%Thrift 3%JavaScript 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
What's in each folder
backend/Backend / API2582 files
frontend/Frontend / UI2416 files
docs/Documentation5 files
release/Folder344 files
idl/Folder70 files
common/Folder53 files
.github/CI / automation (GitHub Actions)19 files
.vscode/Editor / agent settings4 files
READMEHas testsDocumentedCI checksApache-2.0 licenseUpdated this month
Quick Actions
Details
Creator
coze-dev
Language
Go
Category
ai-agent
Published
6/24/2025

Are you the creator of this tool? and earn 85% of every sale.

Show it off in your README:

Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/coze-loop.svg)](https://workflowstacks.com/skills/coze-loop?utm_source=github&utm_medium=badge)
🔥 Hot this week, in your inbox
Skills like this, every Monday.

The five fastest-growing open-source AI skills, ranked by GitHub star growth. One email a week, unsubscribe anytime.

Related skills

More ai-agent tools founders pair with this one.

ai-agent★ 303,229
superpowers
An agentic skills framework & software development methodology that works.
ai-agent★ 277,148
Track GitHub Stars with 996.ICU
Get a popular GitHub star counter for your startup, backed by 276k+ GitHub stars, ideal for founders.
ai-agent★ 253,013
Linux – 251k+ GitHub stars for building custom kernel solutions
Get the complete Linux kernel source in C, perfect for founders needing deep system control or tailored OS components.
ai-agent★ 2,909
penguin-harness
🐧 Unified and Stable RSI Platform
ai-agent★ 11,737
cocoindex: Power Real‑Time Data Indexing for Long‑Horizon AI Agents
Boost your AI agent’s context and knowledge graph with cocoindex’s incremental engine—ideal for founders building long‑term, data‑driven agents. 12k+ GitHub stars.
ai-agent★ 44,102
Ray: Scale AI Workloads with 44k+ GitHub Stars
Accelerate your ML training and inference across clusters with Ray’s distributed runtime and AI libraries—perfect for founders building data‑intensive, scalable AI products.