Loongflow è sicuro?

Loongflow — Nerq Trust Score 75.8/100 (Grado B). Punteggio basato su 5 independent trust signals.

Loongflow è un software tool con un Punteggio di fiducia Nerq di 75.8/100 (B), based on 5 dimensioni di dati indipendenti. Sicurezza: 0/100. Manutenzione: 1/100. Popolarità: 1/100. Dati provenienti da molteplici fonti pubbliche tra cui registri di pacchetti, GitHub, NVD, OSV.dev e OpenSSF Scorecard. Ultimo aggiornamento: n/a. Dati leggibili dalle macchine (JSON).

Loongflow è sicuro?

Dettagli punteggio di fiducia — Loongflow has a Nerq Trust Score of 75.8/100 (B). Measured across 5 independent trust signals.

Analisi di Sicurezza → Report sulla privacy di Loongflow →

Qual è il punteggio di fiducia di Loongflow?

Loongflow ha un Nerq Trust Score di 75.8/100 con voto B. Questo punteggio si basa su 5 dimensioni misurate indipendentemente, tra cui sicurezza, manutenzione e adozione della community.

Sicurezza
0
Conformità
92
Manutenzione
1
Documentazione
1
Popolarità
1

Quali sono i risultati di sicurezza chiave per Loongflow?

Il segnale più forte di Loongflow è conformità a 92/100. Non sono state rilevate vulnerabilità note.

⚠Punteggio di sicurezza: 0/100 (debole)
⚠Manutenzione: 1/100 — bassa attività di manutenzione
⚠Conformità: 92/100 — covers 47 of 52 jurisdictions
⚠Documentazione: 1/100 — documentazione limitata
⚠Popolarità: 1/100 — 351 stelle su github

Cos'è Loongflow e chi lo mantiene?

Autorebaidu-baige
CategoriaAgent Framework
Stelle351
Fontehttps://github.com/baidu-baige/LoongFlow
Frameworksopenai · anthropic
Protocolsrest

Conformità normativa

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

Alternative popolari in 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 sicurezza vulnerabilities, manutenzione activity, license conformità, and adozione della comunità.

How Nerq Assesses Loongflow's Safety

Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensioni. 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 (sicurezza 0/100, manutenzione 1/100, documentazione 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 — Controlla repository's sicurezza policy, open issues, and recent commits for signs of active manutenzione.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Loongflow's dependency tree.
  3. Recensione 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. Controlla 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 sicurezza 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 sicurezza practices, consistent release cadence, and broad adozione della comunità.

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

Loongflow vs Alternative

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

Punti chiave

Domande frequenti

Loongflow è sicuro?
baidu-baige/LoongFlow con un Punteggio di fiducia Nerq di 75.8/100 (B). Segnale più forte: conformità (92/100). Punteggio basato su Sicurezza (0/100), Manutenzione (1/100), Popolarità (1/100), Documentazione (1/100).
Qual è il punteggio di fiducia di Loongflow?
baidu-baige/LoongFlow: 75.8/100 (B). Punteggio basato su Sicurezza (0/100), Manutenzione (1/100), Popolarità (1/100), Documentazione (1/100). Compliance: 92/100. I punteggi si aggiornano quando nuovi dati diventano disponibili. API: GET nerq.ai/v1/preflight?target=baidu-baige/LoongFlow
Quali sono alternative più sicure a Loongflow?
Nella categoria Agent Framework, higher-rated alternatives include hashbrown (68/100), liquidos-ai/AutoAgents (72/100), goclaw (69/100). baidu-baige/LoongFlow scores 75.8/100.
Con che frequenza viene aggiornato il punteggio di Loongflow?
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
Posso usare Loongflow in un ambiente regolamentato?
Loongflow: 75.8/100 (B). Compliance: 47 of 52 jurisdictions. Evaluate against your own regulatory requirements.
API: /v1/preflight Trust Badge API Docs

Vedi anche

Disclaimer: I punteggi di fiducia Nerq sono valutazioni automatizzate basate su segnali disponibili pubblicamente. Non costituiscono raccomandazioni o garanzie. Effettua sempre la tua verifica personale.

Utilizziamo i cookie per analisi e caching. Privacy