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Kestra

Declarative YAML-based orchestration platform with 1500+ plugins for automating data, AI, and infrastructure workflows.

@ai-supply
Installs99k
⟳ upstream v1.3.26 · updated 27d ago
↗ Source repository
← More OrchestrationOrchestration leaderboard →How we grade security →Source ↗
✓ Grade A · 100/100 · SafeSecurity assessment
✓No compromise signals20capabilities surfaced9of 20 OWASP controls clear
Broad capability surfaceInternal host / private infrastructure referenceSuspicious network referencesPotentially unbounded loop
scanned 17d ago·osv · gitleaks · opengrep · picklescan + heuristics·full breakdown in the Security tab ↓

Kestra

Kestra is an open-source, event-driven orchestration platform that unifies scheduled and event-driven automation behind a declarative, language-agnostic YAML interface. With 1500+ plugins it can orchestrate anything — data pipelines, AI workflows, microservices, and infrastructure tasks.

Key Features

  • Declarative YAML flows: Define workflows without boilerplate code; version-controlled as Infrastructure as Code
  • 1500+ plugins: Native connectors for databases, cloud providers, messaging, ML platforms, and APIs
  • Built-in UI: Visual flow editor, real-time execution monitoring, and replay capabilities
  • Event-driven triggers: Webhooks, file arrival, schedule, API calls, or custom conditions
  • Namespace isolation: Multi-tenant logical grouping for organization and access control
  • Scalable: Kafka-backed distributed execution for high-throughput workloads

Quick Start

# Start Kestra with Docker
docker run --pull=always --rm -it \
  -p 8080:8080 --user=root \
  -v /var/run/docker.sock:/var/run/docker.sock \
  -v /tmp:/tmp kestra/kestra:latest server local
id: hello-world
namespace: dev
tasks:
  - id: log
    type: io.kestra.plugin.core.log.Log
    message: "Hello from Kestra!"

Add to ai-supply

npx ai-supply add kestra-declarative-orchestration

Curated mirror of the open-source Kestra (Apache-2.0). Get it from the source.

Rating rank
#1
of 16 in Orchestration
Install rank
#10
of 16 in Orchestration
Security score
100/100 · A
safe
Security rank
#1
of 16 in Orchestration
Installs
99k
cat avg 126k
This listing vs category average
Installs
this
cat avg
Security (of 100)
this
cat avg
Adoption trend
See the Orchestration leaderboard →
✓ Security: Safe · 100100/100 · grade Ascanned 17d ago
✓ no compromise signals20 risk-surface · 6/20 OWASP controls flagged

Compromise signals — malicious or tampered code (leaked secrets, backdoors, a dropped executable) — reduce the score, and known dependency CVEs carry a bounded penalty (they warrant review but never QUARANTINE — update the dependency to clear). Other dangerous-by-capability traits are risk surface, expected for some capabilities. Every finding is mapped to its OWASP control below.

What this capability can do · med confidence (static)
⚑ network⚑ secretsinstall: postinstall
egress → deb.nodesource.com, kestra.io, marketplace.visualstudio.com, docs.github.com, micronaut.io, vuejs.org, stackoverflow.com, git.io +24
1498 steps⚑ uses secretsstackoverflow.comkestra.iodocs.github.comactions/checkout@v7actions/setup-node@v6github/codeql-action/init@v4actions/setup-java@v5gradle/actions/setup-gradle@v6

Findings mapped to the OWASP Top 10 for LLM Applications (2025) and the OWASP Machine Learning Security Top 10. Expand any flagged control for the exact findings — compromise reduces the score; expected/risk-surface do not, except a known CVE, which carries a small bounded penalty (high/critical → Review).

OWASP Top 10 for LLM Applications
⚠LLM05Improper Output Handlinghigh
Code that pipes model/user output into shell, eval, SQL or paths unsafely.
•Suspicious code patterns — destructive rm -rf /; pipe-to-shell install · kestra-io-kestra-77e7427/Dockerfile.base (CWE-78)expected
•Suspicious code patterns — unsafe yaml.load · kestra-io-kestra-77e7427/cli/src/test/java/io/kestra/cli/commands/configs/sys/ConfigPropertiesCommandTest.java (CWE-502)expected
•Suspicious code patterns — dynamic code execution · kestra-io-kestra-77e7427/core/src/main/java/io/kestra/core/models/triggers/PollingTriggerInterface.java (CWE-95)expected
⚠LLM06Excessive Agencymedium
Over-broad tool/permission surface or unrestricted egress.
•External endpoints declared — 1 distinct host(s) · kestra-io-kestra-77e7427/.codespellrcexpected
•External endpoints declared — 3 distinct host(s) · kestra-io-kestra-77e7427/.devcontainer/Dockerfileexpected
•External endpoints declared — 6 distinct host(s) · kestra-io-kestra-77e7427/.github/CONTRIBUTING.mdexpected
•External endpoints declared — 2 distinct host(s) · kestra-io-kestra-77e7427/.github/ISSUE_TEMPLATE/bug.ymlexpected
•Broad capability surface — 3 high-impact capability categories referenced — verify least-privilege · kestra-io-kestra-77e7427/Makefile (CWE-272)risk surface
•External endpoints declared — 13 distinct host(s) · kestra-io-kestra-77e7427/README.mdexpected
•External endpoints declared — 5 distinct host(s) · kestra-io-kestra-77e7427/charts/kestra-starter/Chart.yamlexpected
•External endpoints declared — 12 distinct host(s) · kestra-io-kestra-77e7427/charts/kestra-starter/README.mdexpected
•External endpoints declared — 8 distinct host(s) · kestra-io-kestra-77e7427/charts/kestra-starter/README.md.gotmplexpected
•External endpoints declared — 9 distinct host(s) · kestra-io-kestra-77e7427/charts/kestra/README.mdexpected
•External endpoints declared — 4 distinct host(s) · kestra-io-kestra-77e7427/cli/src/main/resources/application.ymlexpected
⚠LLM07System Prompt Leakagemedium
Secrets, internal hosts or proprietary logic exposed in shipped prompts.
•Internal host / private infrastructure reference — shipped content references a private IP range or internal-only host · kestra-io-kestra-77e7427/core/src/main/java/io/kestra/plugin/core/http/Request.java (CWE-200)risk surface
•Low-confidence secret match — 1 possible: generic-api-key · kestra-io-kestra-77e7427/Makefile (CWE-798)risk surface
•Low-confidence secret match — 3 possible: generic-api-key · kestra-io-kestra-77e7427/core/src/main/java/io/kestra/plugin/core/trigger/Webhook.java (CWE-798)risk surface
•Low-confidence secret match — 1 possible: generic-api-key · kestra-io-kestra-77e7427/build.gradle (CWE-798)risk surface
⚠LLM10Unbounded Consumptionmedium
Unbounded loops/recursion causing DoS or runaway cost.
Enforced at runtime by the gateway (rate limits + spend caps + size caps); static check flags unbounded loops.
•Potentially unbounded loop — an infinite loop (while True / while(1) / for(;;)) may cause runaway consumption · kestra-io-kestra-77e7427/core/src/main/java/io/micronaut/retry/intercept/OverrideRetryInterceptor.java (CWE-835)risk surface
⚠LLM02Sensitive Information Disclosurelow
Secrets, credentials or PII shipped inside the artifact.
•Low-confidence secret match — 1 possible: generic-api-key · kestra-io-kestra-77e7427/Makefile (CWE-798)risk surface
•Low-confidence secret match — 3 possible: generic-api-key · kestra-io-kestra-77e7427/core/src/main/java/io/kestra/plugin/core/trigger/Webhook.java (CWE-798)risk surface
•Low-confidence secret match — 1 possible: generic-api-key · kestra-io-kestra-77e7427/build.gradle (CWE-798)risk surface
§LLM09MisinformationGovernance
Artifacts designed to produce false/deceptive output.
Detectable only by runtime behavioral evaluation; addressed via responsible-use attestation.
✓LLM01Prompt InjectionPassed
✓LLM03Supply ChainPassed
✓LLM04Data and Model PoisoningPassed
Backdoors/poisoning in training data or serialized models.
Behavioral poisoning needs model execution; static check covers unsafe serialization + dataset skew only.
✓LLM08Vector and Embedding WeaknessesPassed
PII or plaintext source leakage in embedding/vector exports.
Embedding inversion/poisoning is largely runtime; static check covers PII in vector exports.
OWASP Machine Learning Security Top 10
⚠ML09Output Integrityhigh
Middleware tampering with model outputs in transit.
Gateway enforces TLS + response integrity; static check flags output-rewriting code.
•Suspicious code patterns — destructive rm -rf /; pipe-to-shell install · kestra-io-kestra-77e7427/Dockerfile.base (CWE-78)expected
•Suspicious code patterns — unsafe yaml.load · kestra-io-kestra-77e7427/cli/src/test/java/io/kestra/cli/commands/configs/sys/ConfigPropertiesCommandTest.java (CWE-502)expected
•Suspicious code patterns — dynamic code execution · kestra-io-kestra-77e7427/core/src/main/java/io/kestra/core/models/triggers/PollingTriggerInterface.java (CWE-95)expected
§ML01Input Manipulation (Adversarial)Governance
Models vulnerable to adversarial perturbations.
Requires runtime robustness evaluation; addressed via publisher robustness attestation.
§ML03Model InversionGovernance
Training data reconstructable from a model's outputs.
Runtime/evaluation property; addressed via model-card data-provenance + DP attestation.
§ML04Membership InferenceGovernance
Determining whether a record was in the training set.
Runtime/evaluation property; addressed via overfitting disclosure + DP attestation.
§ML08Model SkewingGovernance
Models trained on skewed data producing biased output.
Requires fairness evaluation; addressed via model-card bias/limitations disclosure.
✓ML02Data PoisoningPassed
Poisoned training datasets with triggers or anomalous distributions.
Static check covers trigger phrasing, PII and label skew; full poisoning detection is runtime.
✓ML05Model TheftPassed
Unlicensed re-distribution / license-incompatible derivatives.
Static check verifies license declaration; extraction throttling is runtime.
✓ML06AI Supply ChainPassed
✓ML07Transfer Learning AttackPassed
Backdoored base models / LoRA adapters propagating to derivatives.
Backdoor detection needs behavioral probing; static check covers unsafe serialization + provenance.
✓ML10Model Poisoning (Weights)Passed
Tampered model weight files; integrity must be verifiable.
Static check enforces safe formats + records a content hash for downstream verification.
Other findings (16) · hygiene / uncategorized
•Unrecognized file type — '.codespellrc' is not on the allowlist · kestra-io-kestra-77e7427/.codespellrcrisk surface
•Unrecognized file type — '.?' is not on the allowlist · kestra-io-kestra-77e7427/.devcontainer/Dockerfilerisk surface
•Unrecognized file type — '.editorconfig' is not on the allowlist · kestra-io-kestra-77e7427/.editorconfigrisk surface
•Unrecognized file type — '.gitattributes' is not on the allowlist · kestra-io-kestra-77e7427/.gitattributesrisk surface
•Unrecognized file type — '.gitignore' is not on the allowlist · kestra-io-kestra-77e7427/.gitignorerisk surface
•Unrecognized file type — '.prettierignore' is not on the allowlist · kestra-io-kestra-77e7427/.prettierignorerisk surface
•Unrecognized file type — '.base' is not on the allowlist · kestra-io-kestra-77e7427/Dockerfile.baserisk surface
•Unrecognized file type — '.pr' is not on the allowlist · kestra-io-kestra-77e7427/Dockerfile.prrisk surface
•Unrecognized file type — '.gradle' is not on the allowlist · kestra-io-kestra-77e7427/build.gradlerisk surface
•Unrecognized file type — '.helmignore' is not on the allowlist · kestra-io-kestra-77e7427/charts/kestra-starter/.helmignorerisk surface
•Unrecognized file type — '.gotmpl' is not on the allowlist · kestra-io-kestra-77e7427/charts/kestra-starter/README.md.gotmplrisk surface
•Unrecognized file type — '.tpl' is not on the allowlist · kestra-io-kestra-77e7427/charts/kestra/templates/_helpers.tplrisk surface
•Unrecognized file type — '.environmentprovider' is not on the allowlist · kestra-io-kestra-77e7427/cli/src/main/resources/META-INF/services/io.kestra.cli.services.EnvironmentProviderrisk surface
•Unrecognized file type — '.kestraignore' is not on the allowlist · kestra-io-kestra-77e7427/cli/src/test/resources/namespacefiles/ignore/.kestraignorerisk surface
•Suspicious network references — suspicious TLD (7 URLs) · kestra-io-kestra-77e7427/core/src/main/java/io/kestra/plugin/core/namespace/UploadFiles.javarisk surface
•Unrecognized file type — '.peb' is not on the allowlist · kestra-io-kestra-77e7427/core/src/main/resources/docs/index.pebrisk surface
✔ verified source · pinned kestra-io-kestra-77e7427
Check against a policy

The same gate an agent runs before installing (POST /api/v1/trust/kestra-declarative-orchestration/check). Click a policy:

Consume Kestra programmatically. Authenticate with an API key or session — see Authorize an agent.

# Agents: CHECK BEFORE YOU INSTALL (no auth) — score, grade, level, capability manifest
curl https://ai-supply.store/api/v1/trust/kestra-declarative-orchestration

# Gate against your org policy (returns { pass, violations })
curl -X POST https://ai-supply.store/api/v1/trust/kestra-declarative-orchestration/check \
  -H "Content-Type: application/json" \
  -d '{"minGrade":"B","denyPermissions":["shell"],"denyUnknownEgress":true}'

# CLI
npx ai-supply add kestra-declarative-orchestration

# REST (install → download)
curl -X POST https://ai-supply.store/api/v1/listings/kestra-declarative-orchestration/install \
  -H "Authorization: Bearer $AIM_KEY"

# MCP tool
install_listing({ "slug": "kestra-declarative-orchestration" })
OpenAPI spec →
vlatest
✓ Security: Safe · 1001mo ago

Curated mirror — latest upstream source. See the repository for tagged releases.

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