Ist Loongflow sicher?

Loongflow — Nerq Trust Score 75.8/100 (Note B). Bewertung basierend auf 5 independent trust signals.

Loongflow ist ein software tool mit einem Nerq-Vertrauenswert von 75.8/100 (B), basierend auf 5 unabhängigen Datendimensionen. Sicherheit: 0/100. Wartung: 1/100. Beliebtheit: 1/100. Daten von mehreren öffentlichen Quellen einschließlich Paketregistern, GitHub, NVD, OSV.dev und OpenSSF Scorecard. Zuletzt aktualisiert: n/a. Maschinenlesbare Daten (JSON).

Ist Loongflow sicher?

Vertrauensbewertung im Detail — Loongflow has a Nerq Trust Score of 75.8/100 (B). Measured across 5 independent trust signals.

Sicherheitsanalyse → Loongflow Datenschutzbericht →

Was ist die Vertrauensbewertung von Loongflow?

Loongflow hat eine Nerq-Vertrauensbewertung von 75.8/100 und erhält die Note B. Diese Bewertung basiert auf 5 unabhängig gemessenen Dimensionen.

Sicherheit
0
Konformität
92
Wartung
1
Dokumentation
1
Beliebtheit
1

Was sind die wichtigsten Sicherheitsergebnisse für Loongflow?

Das stärkste Signal von Loongflow ist konformität mit 92/100. Es wurden keine bekannten Schwachstellen erkannt.

⚠Sicherheitsbewertung: 0/100 (schwach)
⚠Wartung: 1/100 — geringe Wartungsaktivität
⚠Konformität: 92/100 — covers 47 of 52 jurisdictions
⚠Dokumentation: 1/100 — begrenzte Dokumentation
⚠Beliebtheit: 1/100 — 351 Sterne auf github

Was ist Loongflow und wer pflegt es?

Autorbaidu-baige
KategorieAgent Framework
Sterne351
Quellehttps://github.com/baidu-baige/LoongFlow
Frameworksopenai · anthropic
Protocolsrest

Regulatorische Konformität

EU AI Act Risk ClassNot assessed
Compliance Score92/100
JurisdictionsAssessed across 52 jurisdictions

Beliebte Alternativen in agent_framework

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68.0/100 · C
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69.1/100 · C
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54.8/100 · D
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What Is Loongflow?

Loongflow is a framework for building autonomous AI agents: LoongFlow: A Thinking & Learning Framework for Expert-Grade AI Agents.. It has 351 GitHub-Sternen. Nerq Trust Score: 76/100 (B).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including Sicherheit vulnerabilities, Wartung activity, license Konformität, and Community-Akzeptanz.

How Nerq Assesses Loongflow's Safety

Nerq's Trust Score is calculated from 13+ independent signals aggregated into five Dimensionen. Here is how Loongflow performs in each:

The overall Trust Score of 75.8/100 (B) is the weighted combination of these measured signals. It is a measurement, not a pass/fail or suitability judgment — weigh the individual signals against your own requirements.

Who Typically Evaluates Loongflow?

Loongflow is commonly evaluated by:

How to read the signals: Loongflow's measured signals (Sicherheit 0/100, Wartung 1/100, Dokumentation 1/100, community 1/100) are shown above. These are measurements, not a suitability judgment — weigh each signal against the requirements of your own use case and risk tolerance.

How to Verify Loongflow's Safety Yourself

While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:

  1. Check the source code — Überprüfen Sie das/die repository's Sicherheit policy, open issues, and recent commits for signs of active Wartung.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Loongflow's dependency tree.
  3. Bewertung permissions — Understand what access Loongflow requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Loongflow in a sandboxed environment before granting access to production data or systems.
  5. Monitor continuously — Use Nerq's API to set up automated trust checks: GET nerq.ai/v1/preflight?target=baidu-baige/LoongFlow
  6. Überprüfen Sie das/die license — Confirm that Loongflow's license is compatible with your intended use case. Pay attention to restrictions on commercial use, redistribution, and derivative works. Some AI tools use dual licensing or have separate terms for enterprise customers that differ from the open-source license.
  7. Check community signals — Look at the project's issue tracker, discussion forums, and social media presence. A healthy community actively reports bugs, contributes fixes, and discusses Sicherheit concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Loongflow

When evaluating whether Loongflow is safe, consider these category-specific risks:

Autonomous actions

Agent frameworks like Loongflow can take actions autonomously — executing code, calling APIs, modifying files. Always implement guardrails and human-in-the-loop controls for production deployments.

Prompt injection

AI agents built with Loongflow may be vulnerable to prompt injection attacks where malicious input causes the agent to take unintended actions. Test for adversarial inputs before deploying.

Resource consumption

Autonomous agents can incur unexpected API costs or resource usage. Set budget limits and monitoring alerts when deploying Loongflow-based agents.

Multi-agent coordination failures

When using Loongflow to orchestrate multiple agents, failures in inter-agent communication can lead to cascading errors, duplicated actions, or deadlocks. Implement circuit breakers and timeout mechanisms to prevent runaway agent loops that can consume resources indefinitely.

Memory and context poisoning

Agents built with Loongflow that persist memory across sessions can have their context poisoned by adversarial inputs. Once corrupted, the agent may make consistently poor decisions in future interactions. Implement memory validation and periodic context resets for long-running agents.

Best Practices for Using Loongflow Safely

Whether you're an individual developer or an enterprise team, these practices will help you get the most from Loongflow while minimizing risk:

Implement human-in-the-loop

Configure Loongflow agents to require human approval for high-impact actions like payments, data deletion, or external API calls.

Set budget and rate limits

Autonomous agents built with Loongflow can incur unexpected costs through API calls and resource usage. Set hard spending limits and rate caps.

Monitor agent behavior

Log all actions taken by agents built with Loongflow. Use observability tools to detect anomalous behavior patterns that could indicate prompt injection or logic errors.

Test with adversarial inputs

Before deploying Loongflow-based agents in production, test with adversarial prompts designed to bypass guardrails and cause unintended actions.

Scope agent permissions tightly

Each agent should have the minimum permissions required. Never give an agent root access, admin credentials, or unrestricted API keys.

Situations That Warrant Independent Review of Loongflow

Nerq's signals are one input. In the following situations, evaluate Loongflow's measured signals against your own requirements before making a decision:

For each situation, compare Loongflow's measured trust score of 75.8/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Loongflow is suitable for any particular use.

How Loongflow Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among agent frameworks, the average Trust Score is 65/100. Loongflow's score of 75.8/100 is significantly above the category average of 65/100.

This places Loongflow in the top tier of agent frameworks that Nerq tracks. Tools scoring this far above average typically demonstrate mature Sicherheit practices, consistent release cadence, and broad Community-Akzeptanz.

Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks moderat in isolation may actually represent strong performance within a challenging category — or vice versa. Nerq's category-relative analysis helps teams make informed decisions by showing not just absolute quality, but how a tool ranks against its direct peers.

Trust Score History

Nerq continuously monitors Loongflow and recalculates its Trust Score as new data becomes available. Our scoring engine ingests real-time signals from source repositories, vulnerability databases (NVD, OSV.dev), package registries, and community metrics. When a new CVE is published, a major release ships, or Wartung patterns change, Loongflow's score is updated within 24 hours.

Historical trust trends reveal whether a tool is improving, stable, or declining over time. A tool that consistently maintains or improves its score demonstrates ongoing commitment to Sicherheit and quality. Conversely, a downward trend may signal reduced Wartung, growing technical debt, or unresolved vulnerabilities. To track Loongflow's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=baidu-baige/LoongFlow&include=history

Nerq retains trust score snapshots at regular intervals, enabling trend analysis across weeks and months. Enterprise users can access detailed historical reports showing how each dimension — Sicherheit, Wartung, Dokumentation, Konformität, and community — has evolved independently, providing granular visibility into which aspects of Loongflow are strengthening or weakening over time.

Loongflow vs Alternativen

In the agent_framework category, Loongflow scores 75.8/100. It ranks among the top tools in its category. For a detailed comparison, see:

Wichtigste Punkte

Häufig gestellte Fragen

Ist Loongflow sicher?
baidu-baige/LoongFlow mit einem Nerq-Vertrauenswert von 75.8/100 (B). Stärkstes Signal: konformität (92/100). Bewertung basierend auf Sicherheit (0/100), Wartung (1/100), Beliebtheit (1/100), Dokumentation (1/100).
Was ist die Vertrauensbewertung von Loongflow?
baidu-baige/LoongFlow: 75.8/100 (B). Bewertung basierend auf Sicherheit (0/100), Wartung (1/100), Beliebtheit (1/100), Dokumentation (1/100). Compliance: 92/100. Bewertungen werden aktualisiert, wenn neue Daten verfügbar werden. API: GET nerq.ai/v1/preflight?target=baidu-baige/LoongFlow
Was sind sicherere Alternativen zu Loongflow?
In der Kategorie Agent Framework, higher-rated alternatives include hashbrown (68/100), liquidos-ai/AutoAgents (72/100), goclaw (69/100). baidu-baige/LoongFlow scores 75.8/100.
Wie oft wird die Sicherheitsbewertung von Loongflow aktualisiert?
Nerq recomputes Loongflow's trust score as new data becomes available. Current: 75.8/100 (B). API: GET nerq.ai/v1/preflight?target=baidu-baige/LoongFlow
Kann ich Loongflow in einer regulierten Umgebung verwenden?
Loongflow: 75.8/100 (B). Compliance: 47 of 52 jurisdictions. Evaluate against your own regulatory requirements.
API: /v1/preflight Trust Badge API Docs

Siehe auch

Disclaimer: Nerq-Vertrauensbewertungen sind automatisierte Bewertungen basierend auf öffentlich verfügbaren Signalen. Sie sind keine Empfehlungen oder Garantien. Führen Sie immer Ihre eigene Sorgfaltsprüfung durch.

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