Match the project to your task before installing it.
Observability and Evaluation · Public
cyclic-agent
Observability and evaluation project for turning logs, quality metrics, drift, or experiment results into reviewable signals.
ObservabilityEvaluationQuality metricsData driftExperiment tracking
Best fitDevelopers who need reviewable observability or evaluation workflows for AI apps, data pipelines, or experiments.
Check whether this project matches your task before installing it.
What it can doObservability setup paths, metric boundaries, sample-data redaction, evaluation checks, and failure triageReview the portable capability path.
Before continuingVerify in a sandboxDo not treat a preview pack as a proven local install.
GitHub snapshotstars unavailableforks unavailable · contributors unavailable
Publication status · 2026-05-25
What is cyclic-agent?
- cyclic-agent helps developers observe, evaluate, or monitor AI/data application behavior and quality.
- Best fit: Developers who need reviewable observability or evaluation workflows for AI apps, data pipelines, or experiments.
- Not for: Not for users without logs/sample data, privacy boundaries, or those who only need a chat UI.
- Capability added to an AI workflow: Observability setup paths, metric boundaries, sample-data redaction, evaluation checks, and failure triage
- First safe verification step: Verify collection, metric interpretation, export, and deletion paths with redacted sample data first.
- Verification state: source, Quick Start, and sandbox install checks are recorded as passed.
- Top risk: README/documentation is current enough for a first validation pass.
- Evidence base: https://github.com/xingjianll/cyclic-agent, https://github.com/xingjianll/cyclic-agent#readme, Human Manual, Pitfall Log
01
Quick decision
Use this section to decide whether the project is worth a deeper read.Observability and evaluation project for turning logs, quality metrics, drift, or experiment results into reviewable signals.
stars unavailable · forks unavailable
02
What it can do
Translate the upstream project into concrete capabilities the user can judge before installing.Installation and Setup
Related topics: State Base Class, Hello World Example
Sources: [README.md:1-8]()
Project Overview
Related topics: State Base Class, CyclicExecutor
Sources: [README.md:6-9]()
State Base Class
Related topics: CyclicExecutor, Creating Custom States
Sources: [cyclic_agent/state.py:6-9]()
CyclicExecutor
Related topics: State Base Class, Creating Custom States, Helper States
Sources: [cyclic_agent/executor.py:1-34]()
System Architecture
Related topics: State Base Class, CyclicExecutor, Memory Management with Fifo
Sources: [cyclic_agent/state.py:7-11]()
Sources: https://github.com/xingjianll/cyclic-agent, Human Manual, Project Pack evidence, and downstream validation signals.
03
Community Discussion Evidence
Project-level external discussion stays visible on the detail page, not only inside the manual.Community Discussion Evidence
2 source-linked itemsReview these external discussions before using cyclic-agent with real data or production workflows. They are review inputs, not standalone proof that the project is production-ready.
-
01
AI agents as finite state machine ? : r/LocalLLaMA - Reddit
reddit / searxng_indexed
- 02
04
How to start
Only source-backed commands are shown here. Verify them in an isolated environment first.Try the prompt first
Test the workflow without installing the upstream project.
previewRead the Human Manual
Understand inputs, outputs, limits, and failure modes.
manualTake context to your AI host
Use the compiled assets in your preferred AI environment.
contextRun sandbox verification
Confirm install commands and rollback before using a primary environment.
verifypip install cyclic-agentOfficial start command · https://github.com/xingjianll/cyclic-agent#readme · verified: yes
05
Human Manual
The English page must expose the real manual, not a short placeholder.8+ sections · Human Manual
cyclic-agent Manual
CyclicAgent is a framework for creating LLM-powered, fully-autonomous AI agents using a finite state machine (FSM) architecture. The framework abstracts an agent as a collection of states ...
Open the full manual- cyclic-agent Human Manual
- Table of Contents
- Installation and Setup
- Related Pages
- Overview
- Prerequisites
- Required Dependencies
- Installation Methods
Installation and Setup
Related topics: State Base Class, Hello World Example
Sources: [README.md:1-8]()
Project Overview
Related topics: State Base Class, CyclicExecutor
Sources: [README.md:6-9]()
State Base Class
Related topics: CyclicExecutor, Creating Custom States
Sources: [cyclic_agent/state.py:6-9]()
CyclicExecutor
Related topics: State Base Class, Creating Custom States, Helper States
Sources: [cyclic_agent/executor.py:1-34]()
System Architecture
Related topics: State Base Class, CyclicExecutor, Memory Management with Fifo
Sources: [cyclic_agent/state.py:7-11]()
06
AI Context Pack and portable assets
After deciding to continue, take the project context into your own AI host.Complete pack plus user-owned assets
These files are planning and verification assets for Claude Code, Codex, Gemini, Cursor, ChatGPT, and other AI hosts.
07
Preflight checks
Treat this page as a planning asset, not proof that your local environment is ready.- The manual is generated from source-linked project files and Doramagic validation signals.
- Community evidence warnings stay visible instead of being converted into marketing claims.
- This English page is indexable because the locale quality gate passed and explicit English index approval is enabled.
- Use the upstream repository as the final authority for installation commands, license, and version-specific behavior.
08
Pitfall Log and verification risks
Doramagic surfaces high-risk items before users treat a candidate capability as verified.Review upstream issue
README/documentation is current enough for a first validation pass.
Review upstream issue
The source signal needs review before production use.
Review upstream issue
no_demo
Review upstream issue
no_demo
Review upstream issue
issue_or_pr_quality=unknown。
Review upstream issue
release_recency=unknown。