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Discover top open-source software, updated regularly with real-world adoption signals.
Full‑life‑cycle platform for building, testing, and monitoring AI agents
Coze Loop offers developers an integrated suite for prompt engineering, automated evaluation, and end‑to‑end observability of AI agents, with Docker and Helm deployment options.
Coze Loop is a developer‑focused platform that streamlines the entire lifecycle of AI agents, from prompt creation to production monitoring. It targets engineers and teams building conversational or tool‑augmented agents who need a self‑hosted, extensible environment.
The solution provides a visual Playground for prompt debugging and version control, an evaluation engine that runs multi‑dimensional tests (accuracy, compliance, conciseness, etc.), and full observability that records each execution step, including model calls and tool usage. It supports multiple large language models such as OpenAI and Volcengine Ark via the Eino framework, and offers SDKs in three languages for trace reporting.
Developers can launch Coze Loop quickly with Docker Compose or scale it in Kubernetes using the provided Helm chart. Configuration is performed by editing a simple model_config.yaml file with API keys and endpoint IDs. After deployment, the web UI is accessible locally or via an Ingress‑exposed domain.
When teams consider Coze Loop, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
Prompt Iteration
Developers quickly test, compare, and version prompts across multiple LLMs, reducing debugging time.
Automated Evaluation
Run batch evaluations to measure accuracy, compliance, and conciseness, generating actionable metrics for model improvement.
Production Monitoring
Capture detailed execution traces in real time, enabling rapid diagnosis of failures in live agents.
Custom Model Integration
Plug in proprietary or regional LLMs via the Eino framework and manage them through Coze Loop’s UI.
Edit `model_config.yaml` with the appropriate `api_key` and `model` endpoint for the chosen provider.
Coze Loop can be deployed using Docker Compose for local development or via a Helm chart on Kubernetes.
Out of the box, OpenAI and Volcengine Ark are supported, and additional models can be added through the Eino framework.
Yes, a commercial edition exists with extra features; the open‑source edition provides the core modules for free.
Examples are located in the `examples/` directory of the repository, and detailed guides are included in the developer guide.
Project at a glance
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