CLOUDM0N
Repository intelligence

elastic/elastic-agent

GitHub

An unified operational agent framework designed to orchestrate agent policies, manage system component specifications, and ingest monitoring data across diverse runtime environments.

CLOUDM0N decision
REVIEW BEFORE ADOPTION
Trust REVIEW · 55/100
Good fit if

Developers contributing to the Elastic Agent codebase who need to run and test local modifications securely on developer workstations

Watch out for

Development installations created with the '--develop' or '--base-path' options cannot run Elastic Defend because it strictly requires the default agent path

Practical intelligence

What matters before you adopt it

Problem it solves

The friction of developing and testing core agent changes on local development machines that already host enterprise endpoint protection software, and the complexity of managing distinct dependency baselines for different deployment environments.

Best for
Developers contributing to the Elastic Agent codebase who need to run and test local modifications securely on developer workstations
Infrastructure teams who want to deploy unified monitoring agents across Kubernetes, Docker, or managed Elastic Cloud platforms
Elastic employees who have an enterprise-managed endpoint protection agent installed and require an isolated development environment
Main trade-offs
Development installations created with the '--develop' or '--base-path' options cannot run Elastic Defend because it strictly requires the default agent path
Two agents running on the same host cannot bind to the same monitoring port, requiring configuration changes to prevent socket conflicts
Development installations are not officially supported and are intended strictly for agent developers
Why it stands out
Supports cross-platform compiling and packaging for multiple OS and architecture targets (Darwin, Linux, and Windows for both amd64 and arm64)
Enforces a robust CI check structure requiring changelog fragments and automated NOTICE file generation for all PR dependency updates
Integrates seamlessly with kind clusters and Terraform deployment scripts for streamlined local and cloud testing
Trust & CVEs

Security evidence without the noise

Trust remains a decision signal; CVEs and scanner evidence explain what is driving the risk.

Security findings
3
CLOUDM0N scanner findings
Critical
0
High
1
Medium
2
Low
0
View trust evidence & security findings▼
Why this score
No trust rationale was stored for this scan.
CLOUDM0N findings
HIGH
Remote download piped or chained into a shell requires manual review. 1 sample match(es) found.
MEDIUM
The project can spawn operating-system processes; review command construction and input handling. 5 sample match(es) found.
MEDIUM
Broad permission or elevated-command pattern detected. 5 sample match(es) found.
Architecture from code30 modules · 0 edges▼
Structural evidence

Modules and dependency edges extracted from repository code. This is code evidence, not README inference.

Code files
3
Modules
30
Dependency edges
0
Core modules
Dependency flow
No dependency edges were extracted.
Detected languages
Go · Shell · Python · C
Detected frameworks
—
Architecture evidence details
flowchart TD
    %% repo — high-level architecture (DRAFT, refine me)
    n0["docs · documentation · 3 files"]
    class n0 docs
    classDef docs fill:#9d7660,color:#ffffff,stroke:#7c5d4c
Evidence, security & integrations▼
Integrations
FleetElastic DefendDockerKuberneteskindkube-state-metricsElastic CloudTerraform
Security notes
• Enterprise endpoint protection (managed Elastic Agent) installed on employee machines prevents typical secondary agent installs unless `--develop` is utilized
• Development installations bypass standard path conventions and are legally restricted from running the Elastic Defend component
• Local Kind manifests can ingest sensitive credentials dynamically using environment variables like ES_USERNAME, ES_PASSWORD, or FLEET_ENROLLMENT_TOKEN
Still unknown
• The README does not provide system resources, CPU, memory metrics, or scalability constraints under load
• Does not specify which particular Python libraries or connectors are packed inside the 'service' Docker variant
• Lacks complete architectural diagrams or setup parameters for standard production-grade high-availability (HA) cluster configurations
Adoption guidance▼
Adopt if
+ You need a single, unified observability and data collection agent that can be deployed across Windows, Linux, and MacOS under standalone or Fleet-managed controls
+ You are actively developing and validating core feature extensions or custom platform support for Elastic Agent and need an isolated workspace sandbox
Avoid if
– You require a non-default base-path or dual-development installation mode but must also deploy and test the Elastic Defend protection module
– You do not have a Docker or Go compile chain set up on your machine and only require production-grade, pre-compiled official releases
How it works & getting started▼
How it works
1.The developer makes code changes and updates component specs, policy configurations, or Go dependency module files
2.The developer uses Mage targets, Docker, and the Beats repository checkout to package cross-platform agent distributions
3.The package is installed locally with the '--develop' flag to isolate the development directories from pre-existing system agents
4.The developer controls and queries the isolated development agent using the generated 'elastic-development-agent' shell utility
5.For container environments, a local image is built, loaded into a local Kind cluster, and run in standalone or Fleet-managed modes via manifest overrides
Getting started
→ Run 'git submodule update --init' once after cloning or pulling the beats submodule for the first time
→ Ensure 'mage', 'Docker', and the 'beats' directory are configured on your host
→ Generate a local platform package using the default build command and locate the output in 'build/distributions'
→ To run the basic agent binary directly, execute './elastic-agent run'
Agent handoff
Use with any agent
JSON API
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