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Temporal

Open-source durable execution platform for building reliable distributed workflows and long-running processes.

@ai-supply
Installs397k
⟳ upstream v1.31.2 · updated 19d ago
↗ Source repository
← More OrchestrationOrchestration leaderboard →How we grade security →Source ↗
✓ Grade A · 95/100 · SafeSecurity assessment
✓No compromise signals14capabilities surfaced1known CVE7of 20 OWASP controls clear
Broad capability surfaceSuspicious network referencesInternal host / private infrastructure referenceVulnerable dependencies
scanned 15d ago·osv · gitleaks · opengrep · picklescan + heuristics·full breakdown in the Security tab ↓

Temporal

Temporal is a durable execution platform that makes it simple to write long-running, fault-tolerant business logic. Applications that used to require complex state machines, queues, and cron jobs can now be written as simple procedural code.

Key Features

  • Durable workflows: Code that survives process restarts, infrastructure failures, and deployments automatically
  • Language-native SDKs: Python, Go, Java, TypeScript, .NET, PHP — workflows written in your existing language
  • Event history: Full replay-based execution with complete audit trail
  • Scalability: Battle-tested at hyperscaler scale (Uber, Netflix, DoorDash)
  • Visibility: Built-in UI for workflow monitoring, search, and debugging
  • Signals & queries: Interact with running workflows without polling

Quick Start

# Install the Python SDK
pip install temporalio

# Start Temporal server (dev mode)
brew install temporal
temporal server start-dev
from temporalio import workflow, activity
from temporalio.client import Client
from temporalio.worker import Worker

@activity.defn
async def say_hello(name: str) -> str:
    return f"Hello, {name}!"

@workflow.defn
class GreetingWorkflow:
    @workflow.run
    async def run(self, name: str) -> str:
        return await workflow.execute_activity(
            say_hello, name, schedule_to_close_timeout=timedelta(seconds=10)
        )

Add to ai-supply

npx ai-supply add temporal-workflow-engine

Curated mirror of the open-source Temporal (MIT). Get it from the source.

Rating rank
#1
of 16 in Orchestration
Install rank
#1
of 16 in Orchestration
Security score
95/100 · A
safe
Security rank
#5
of 16 in Orchestration
Installs
397k
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 · 9595/100 · grade Ascanned 15d ago
✓ no compromise signals15 risk-surface · 7/20 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)
⚑ shell⚑ network⚑ secrets
egress → docs.codecov.com, api.github.com, go.dev, docs.docker.com, aka.ms, docs.microsoft.com, www.jetbrains.com, chris.beams.io +11
252 steps⚑ uses secretsdocs.codecov.comactions/setup-go@4a3601121dd01d1626a1e23e37211e3254c1c06cgoreleaser/goreleaser-action@e435ccd777264be153ace6237001ef4d979d3a7adocker/setup-qemu-action@c7c53464625b32c7a7e944ae62b3e17d2b600130docker/setup-buildx-action@8d2750c68a42422c14e847fe6c8ac0403b4cbd6fdocker/login-action@c94ce9fb468520275223c153574b00df6fe4bcc9actions/cache/restore@27d5ce7f107fe9357f9df03efb73ab90386fccaenick-fields/retry@ad984534de44a9489a53aefd81eb77f87c70dc60

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
⚠LLM02Sensitive Information Disclosurehigh
Secrets, credentials or PII shipped inside the artifact.
•Embedded credentials — found: private key · temporalio-temporal-1d4be84/common/auth/testdata/ca.key (CWE-798)expected
•Embedded credentials — found: hardcoded credential · temporalio-temporal-1d4be84/common/persistence/sql/sqlplugin/postgresql/session/session_test.go (CWE-798)expected
⚠LLM06Excessive Agencyhigh
Over-broad tool/permission surface or unrestricted egress.
•External endpoints declared — 1 distinct host(s) · temporalio-temporal-1d4be84/.github/.codecov.ymlexpected
•Broad capability surface — 3 high-impact capability categories referenced — verify least-privilege · temporalio-temporal-1d4be84/.github/actions/build-docker-images/scripts/main.go (CWE-272)risk surface
•External endpoints declared — 7 distinct host(s) · temporalio-temporal-1d4be84/CONTRIBUTING.mdexpected
•Egress to a private/loopback host — 127.0.0.1 · temporalio-temporal-1d4be84/Makefile (CWE-918)expected
•External endpoints declared — 2 distinct host(s) · temporalio-temporal-1d4be84/Makefileexpected
•External endpoints declared — 11 distinct host(s) · temporalio-temporal-1d4be84/README.mdexpected
•External endpoints declared — 8 distinct host(s) · temporalio-temporal-1d4be84/chasm/lib/callback/config_test.goexpected
•External endpoints declared — 3 distinct host(s) · temporalio-temporal-1d4be84/common/archiver/s3store/README.mdexpected
⚠LLM07System Prompt Leakagehigh
Secrets, internal hosts or proprietary logic exposed in shipped prompts.
•Embedded credentials — found: private key · temporalio-temporal-1d4be84/common/auth/testdata/ca.key (CWE-798)expected
•Internal host / private infrastructure reference — shipped content references a private IP range or internal-only host · temporalio-temporal-1d4be84/common/config/localip_test.go (CWE-200)risk surface
•Embedded credentials — found: hardcoded credential · temporalio-temporal-1d4be84/common/persistence/sql/sqlplugin/postgresql/session/session_test.go (CWE-798)expected
⚠LLM03Supply Chainmedium
Vulnerable/compromised dependencies, models or archives in the artifact.
•Vulnerable dependencies — 3 known vulnerabilities in: golang.org/x/crypto@0.54.0, stdlib@1.26.4 (CWE-1395)known CVE · -5 pts
⚠LLM05Improper Output Handlingmedium
Code that pipes model/user output into shell, eval, SQL or paths unsafely.
•Suspicious code patterns — child_process exec · temporalio-temporal-1d4be84/.github/workflows/promote-docker-image.yml (CWE-78)expected
§LLM09MisinformationGovernance
Artifacts designed to produce false/deceptive output.
Detectable only by runtime behavioral evaluation; addressed via responsible-use attestation.
◷LLM10Unbounded ConsumptionRuntime-enforced
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.
✓LLM01Prompt InjectionPassed
✓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
⚠ML06AI Supply Chainmedium
Compromised PyPI/npm packages, typosquats, unsafe serialized models.
•Vulnerable dependencies — 3 known vulnerabilities in: golang.org/x/crypto@0.54.0, stdlib@1.26.4 (CWE-1395)known CVE · -5 pts
⚠ML09Output Integritymedium
Middleware tampering with model outputs in transit.
Gateway enforces TLS + response integrity; static check flags output-rewriting code.
•Suspicious code patterns — child_process exec · temporalio-temporal-1d4be84/.github/workflows/promote-docker-image.yml (CWE-78)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.
✓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 (14) · hygiene / uncategorized
•Unrecognized file type — '.mdc' is not on the allowlist · temporalio-temporal-1d4be84/.cursor/rules/review.mdcrisk surface
•Unrecognized file type — '.dockerignore' is not on the allowlist · temporalio-temporal-1d4be84/.dockerignorerisk surface
•Unrecognized file type — '.gitattributes' is not on the allowlist · temporalio-temporal-1d4be84/.gitattributesrisk surface
•Unrecognized file type — '.yamlfmt' is not on the allowlist · temporalio-temporal-1d4be84/.github/.yamlfmtrisk surface
•Unrecognized file type — '.?' is not on the allowlist · temporalio-temporal-1d4be84/.github/CODEOWNERSrisk surface
•Unrecognized file type — '.gitignore' is not on the allowlist · temporalio-temporal-1d4be84/.github/actions/build-docker-images/scripts/.gitignorerisk surface
•Unrecognized file type — '.gitmodules' is not on the allowlist · temporalio-temporal-1d4be84/.gitmodulesrisk surface
•Suspicious network references — raw IP URL (14 URLs) · temporalio-temporal-1d4be84/Makefilerisk surface
•Unrecognized file type — '.proto' is not on the allowlist · temporalio-temporal-1d4be84/chasm/lib/activity/proto/v1/activity_state.protorisk surface
•Unrecognized file type — '.tmpl' is not on the allowlist · temporalio-temporal-1d4be84/cmd/tools/gendynamicconfig/dynamic_config.tmplrisk surface
•Unrecognized file type — '.crt' is not on the allowlist · temporalio-temporal-1d4be84/common/auth/testdata/ca.crtrisk surface
•Unrecognized file type — '.key' is not on the allowlist · temporalio-temporal-1d4be84/common/auth/testdata/ca.keyrisk surface
•Unrecognized file type — '.cnf' is not on the allowlist · temporalio-temporal-1d4be84/common/auth/testdata/localhost.cnfrisk surface
•Malicious base64-encoded payload — decoded content matched: private key · temporalio-temporal-1d4be84/common/persistence/nosql/nosqlplugin/cassandra/gocql/client_test.go (CWE-506)expected
✔ verified source · pinned temporalio-temporal-1d4be84
Check against a policy

The same gate an agent runs before installing (POST /api/v1/trust/temporal-workflow-engine/check). Click a policy:

Consume Temporal 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/temporal-workflow-engine

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

# CLI
npx ai-supply add temporal-workflow-engine

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

# MCP tool
install_listing({ "slug": "temporal-workflow-engine" })
OpenAPI spec →
vlatest
✓ Security: Safe · 951mo ago

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

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