Crawler Summary

agent-crew-sandbox answer-first brief

Research: CrewAI agents in Docker containers with Redis kill switch — validating Ainfera's sandboxed compute layer (sub-500ms termination, cgroup resource limits, behavioral telemetry) agent-crew-sandbox Research repo validating **Ainfera Layer 2 (Sandboxed Compute)**. What this repo validates - **Docker-per-agent isolation** — v0.1 sandbox primitive (Firecracker microVM in production) - **Redis kill switch** — sub-500ms container termination on flag set - **cgroup resource enforcement** — memory and CPU caps via Docker - **Behavioral event telemetry** — JSON events aligned to the Ainfera ATS scori Capability contract not published. No trust telemetry is available yet. Last updated 5/11/2026.

Freshness

Last checked 5/11/2026

Best For

agent-crew-sandbox is best for crewai, multi-agent workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack

Claim this agent
Agent DossierGitHubSafety: 66/100

agent-crew-sandbox

Research: CrewAI agents in Docker containers with Redis kill switch — validating Ainfera's sandboxed compute layer (sub-500ms termination, cgroup resource limits, behavioral telemetry) agent-crew-sandbox Research repo validating **Ainfera Layer 2 (Sandboxed Compute)**. What this repo validates - **Docker-per-agent isolation** — v0.1 sandbox primitive (Firecracker microVM in production) - **Redis kill switch** — sub-500ms container termination on flag set - **cgroup resource enforcement** — memory and CPU caps via Docker - **Behavioral event telemetry** — JSON events aligned to the Ainfera ATS scori

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

May 11, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 5/11/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

May 11, 2026

Vendor

Hizrianraz

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 5/11/2026.

Setup snapshot

git clone https://github.com/hizrianraz/agent-crew-sandbox.git
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Hizrianraz

profilemedium
Observed May 11, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed May 11, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

2

Snippets

0

Languages

python

Executable Examples

bash

cp .env.example .env            # set OPENAI_API_KEY
docker-compose up -d redis
pip install -r requirements.txt

python scenarios/normal_run.py
python scenarios/kill_switch_test.py
python scenarios/resource_breach.py
python scenarios/cascading_failure.py

python analysis/sandbox_report.py data/normal_run.jsonl

bash

# unit tests (no docker needed)
pytest tests/test_kill_switch.py

# integration (runs scenarios end-to-end)
RUN_INTEGRATION_TESTS=1 pytest tests/test_integration.py

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Research: CrewAI agents in Docker containers with Redis kill switch — validating Ainfera's sandboxed compute layer (sub-500ms termination, cgroup resource limits, behavioral telemetry) agent-crew-sandbox Research repo validating **Ainfera Layer 2 (Sandboxed Compute)**. What this repo validates - **Docker-per-agent isolation** — v0.1 sandbox primitive (Firecracker microVM in production) - **Redis kill switch** — sub-500ms container termination on flag set - **cgroup resource enforcement** — memory and CPU caps via Docker - **Behavioral event telemetry** — JSON events aligned to the Ainfera ATS scori

Full README

agent-crew-sandbox

Research repo validating Ainfera Layer 2 (Sandboxed Compute).

What this repo validates

  • Docker-per-agent isolation — v0.1 sandbox primitive (Firecracker microVM in production)
  • Redis kill switch — sub-500ms container termination on flag set
  • cgroup resource enforcement — memory and CPU caps via Docker
  • Behavioral event telemetry — JSON events aligned to the Ainfera ATS scoring schema

Quick start

cp .env.example .env            # set OPENAI_API_KEY
docker-compose up -d redis
pip install -r requirements.txt

python scenarios/normal_run.py
python scenarios/kill_switch_test.py
python scenarios/resource_breach.py
python scenarios/cascading_failure.py

python analysis/sandbox_report.py data/normal_run.jsonl

Scenario guide

  • normal_run.py — Baseline: all three CrewAI agents (researcher → analyst → risk_writer) run a due-diligence task on AI agent trust-infra competitors in SEA/APAC. Produces the control dataset for ATS scoring.

  • kill_switch_test.py — Trips the Redis ainfera:kill:researcher_v1 flag 8 seconds into execution. Measures latency from flag-set to container-stop. Asserts <500ms. The crew is intentionally aborted; that is the point.

  • resource_breach.py — Spawns a researcher with a tight 64 MB memory cap and a task that deliberately generates oversize output. The ResourceBreachMonitor warns at 80% and force-stops at 94%. Validates cgroup enforcement path + clean event log under OOM.

  • cascading_failure.py — Gives the researcher an invalid OpenAI key. Researcher fails → analyst receives empty context → risk_writer produces a degraded HIGH-risk summary. Demonstrates the saga-compensation gap in plain CrewAI that Ainfera's orchestration layer closes.

Key findings

| Metric | Measured | Target | | ----------------------------------- | -------- | --------- | | Kill switch latency (mean) | TODO | < 500ms | | Resource breach detection latency | TODO | < 1s | | Saga gap confirmed | TODO | yes | | ATS proxy score collapse on breach | TODO | → 0.0 |

Fill in after running scenarios end-to-end.

Ainfera connection

| Repo element | Platform-api counterpart | | ---------------------------------------------------- | ----------------------------------------------- | | orchestrator/kill_switch.py Redis pattern | platform-api/app/kill_switch.py | | Docker mem_limit / cpu_quota in sandbox_manager | Layer 2 Firecracker microVM resource quotas | | telemetry/event_schema.py AgentBehavioralEvent | ATS scoring pipeline input schema | | Geometric-mean ATS formula in analysis/sandbox_report.py | Ainfera ATS dimension collapse rule |

SMU research note

Generates empirical data on container-level agent isolation behavior under induced failure modes (kill-switch termination, OOM, cascading upstream failure). Outputs are JSONL behavioral events suitable for joint publication on agentic sandbox security models.

Running tests

# unit tests (no docker needed)
pytest tests/test_kill_switch.py

# integration (runs scenarios end-to-end)
RUN_INTEGRATION_TESTS=1 pytest tests/test_integration.py

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/crewai-hizrianraz-agent-crew-sandbox/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-hizrianraz-agent-crew-sandbox/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-hizrianraz-agent-crew-sandbox/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

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Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://www.xpersona.co/api/v1/agents/crewai-hizrianraz-agent-crew-sandbox/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-hizrianraz-agent-crew-sandbox/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-hizrianraz-agent-crew-sandbox/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-hizrianraz-agent-crew-sandbox/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-hizrianraz-agent-crew-sandbox/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-hizrianraz-agent-crew-sandbox/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-10-09T02:25:00.298Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "crewai",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "multi-agent",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "label": "Vendor",
    "value": "Hizrianraz",
    "category": "vendor",
    "href": "https://github.com/hizrianraz/agent-crew-sandbox",
    "sourceUrl": "https://github.com/hizrianraz/agent-crew-sandbox",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-05-11T06:22:13.698Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "protocols",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "category": "compatibility",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-hizrianraz-agent-crew-sandbox/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-hizrianraz-agent-crew-sandbox/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-05-11T06:22:13.698Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "docs_crawl",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "category": "integration",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "handshake_status",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "category": "security",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-hizrianraz-agent-crew-sandbox/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-hizrianraz-agent-crew-sandbox/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true,
    "metadata": {}
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true,
    "metadata": {}
  }
]

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