Loongflow est-il sûr ?

Loongflow — Nerq Trust Score 75.8/100 (Note B). Score basé sur 5 independent trust signals.

Loongflow est un software tool avec un Nerq Trust Score de 75.8/100 (B), basé sur 5 dimensions de données indépendantes. Sécurité: 0/100. Maintenance: 1/100. Popularité: 1/100. Données de plusieurs sources publiques dont les registres de paquets, GitHub, NVD, OSV.dev et OpenSSF Scorecard. Dernière mise à jour: n/a. Données lisibles par machine (JSON).

Loongflow est-il sûr ?

Détail du score de confiance — Loongflow has a Nerq Trust Score of 75.8/100 (B). Measured across 5 independent trust signals.

Analyse de Sécurité → Rapport de confidentialité de Loongflow →

Quel est le score de confiance de Loongflow ?

Loongflow a un Score de Confiance Nerq de 75.8/100, obtenant la note B. Ce score est basé sur 5 dimensions mesurées indépendamment.

Sécurité
0
Conformité
92
Maintenance
1
Documentation
1
Popularité
1

Quels sont les résultats de sécurité clés pour Loongflow ?

Le signal le plus fort de Loongflow est conformité à 92/100. Aucune vulnérabilité connue n'a été détectée.

⚠Score de sécurité: 0/100 (faible)
⚠Maintenance: 1/100 — faible activité de maintenance
⚠Conformité: 92/100 — covers 47 of 52 jurisdictions
⚠Documentation: 1/100 — documentation limitée
⚠Popularité: 1/100 — 351 étoiles sur github

Qu'est-ce que Loongflow et qui le maintient ?

Auteurbaidu-baige
CatégorieAgent Framework
Étoiles351
Sourcehttps://github.com/baidu-baige/LoongFlow
Frameworksopenai · anthropic
Protocolsrest

Conformité réglementaire

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

Alternatives populaires dans agent_framework

hashbrown
68.0/100 · C
github
liquidos-ai/AutoAgents
71.5/100 · B
github
goclaw
69.1/100 · C
github
neco_agents
54.8/100 · D
pypi_full

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 stars. Nerq Trust Score: 76/100 (B).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including sécurité vulnerabilities, maintenance activity, license conformité, and adoption par la communauté.

How Nerq Assesses Loongflow's Safety

Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. 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 (sécurité 0/100, maintenance 1/100, documentation 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 — Examiner le/la repository's sécurité policy, open issues, and recent commits for signs of active maintenance.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Loongflow's dependency tree.
  3. Avis 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. Examiner le/la 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 sécurité 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 sécurité practices, consistent release cadence, and broad adoption par la communauté.

Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks modéré 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 maintenance 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 sécurité and quality. Conversely, a downward trend may signal reduced maintenance, 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 — sécurité, maintenance, documentation, conformité, and community — has evolved independently, providing granular visibility into which aspects of Loongflow are strengthening or weakening over time.

Loongflow vs Alternatives

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

Points Essentiels

Questions fréquentes

Loongflow est-il sûr ?
baidu-baige/LoongFlow avec un Nerq Trust Score de 75.8/100 (B). Signal le plus fort : conformité (92/100). Score basé sur Sécurité (0/100), Maintenance (1/100), Popularité (1/100), Documentation (1/100).
Quel est le score de confiance de Loongflow ?
baidu-baige/LoongFlow: 75.8/100 (B). Score basé sur Sécurité (0/100), Maintenance (1/100), Popularité (1/100), Documentation (1/100). Compliance: 92/100. Les scores sont mis à jour lorsque de nouvelles données sont disponibles. API: GET nerq.ai/v1/preflight?target=baidu-baige/LoongFlow
Quelles sont les alternatives plus sûres à Loongflow ?
Dans la catégorie Agent Framework, higher-rated alternatives include hashbrown (68/100), liquidos-ai/AutoAgents (72/100), goclaw (69/100). baidu-baige/LoongFlow scores 75.8/100.
À quelle fréquence le score de sécurité de Loongflow est-il mis à jour ?
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
Puis-je utiliser Loongflow dans un environnement réglementé ?
Loongflow: 75.8/100 (B). Compliance: 47 of 52 jurisdictions. Evaluate against your own regulatory requirements.
API: /v1/preflight Trust Badge API Docs

Voir aussi

Disclaimer: Les scores de confiance Nerq sont des évaluations automatisées basées sur des signaux publiquement disponibles. Ce ne sont pas des recommandations ou des garanties. Effectuez toujours votre propre vérification.

Nous utilisons des cookies pour l'analyse et le cache. Confidentialité