Er Loongflow sikker?

Loongflow — Nerq Trust Score 75.8/100 (Karakter B). Score baseret på 5 independent trust signals.

Loongflow er en software tool med en Nerq Tillidsscore på 75.8/100 (B), based on 5 uafhængige datadimensioner. Sikkerhed: 0/100. Vedligeholdelse: 1/100. Popularitet: 1/100. Data hentet fra flere offentlige kilder herunder pakkeregistre, GitHub, NVD, OSV.dev og OpenSSF Scorecard. Sidst opdateret: n/a. Maskinlæsbare data (JSON).

Er Loongflow sikker?

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

Sikkerhedsanalyse → Loongflow privatlivsrapport →

Hvad er Loongflows tillidsscore?

Loongflow har en Nerq Trust Score på 75.8/100 med karakteren B. Denne score er baseret på 5 uafhængigt målte dimensioner, herunder sikkerhed, vedligeholdelse og community-adoption.

Sikkerhed
0
Overholdelse
92
Vedligeholdelse
1
Dokumentation
1
Popularitet
1

Hvad er de vigtigste sikkerhedsresultater for Loongflow?

Loongflows stærkeste signal er overholdelse på 92/100. Ingen kendte sårbarheder er fundet.

⚠Sikkerhedsscore: 0/100 (svag)
⚠Vedligeholdelse: 1/100 — lav vedligeholdelsesaktivitet
⚠Overholdelse: 92/100 — covers 47 of 52 jurisdictions
⚠Dokumentation: 1/100 — begrænset dokumentation
⚠Popularitet: 1/100 — 351 stjerner på github

Hvad er Loongflow og hvem vedligeholder det?

Udviklerbaidu-baige
KategoriAgent Framework
Stjerner351
Kildehttps://github.com/baidu-baige/LoongFlow
Frameworksopenai · anthropic
Protocolsrest

Lovgivningsmæssig overholdelse

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

Populære alternativer i agent_framework

hashbrown
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liquidos-ai/AutoAgents
71.5/100 · B
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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 sikkerhed vulnerabilities, vedligeholdelse activity, license overholdelse, and fællesskabsadoption.

How Nerq Assesses Loongflow's Safety

Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensioner. 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 (sikkerhed 0/100, vedligeholdelse 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 — Gennemgå repository's sikkerhed policy, open issues, and recent commits for signs of active vedligeholdelse.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Loongflow's dependency tree.
  3. Anmeldelse 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. Gennemgå 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 sikkerhed 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 sikkerhed practices, consistent release cadence, and broad fællesskabsadoption.

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 vedligeholdelse 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 sikkerhed and quality. Conversely, a downward trend may signal reduced vedligeholdelse, 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 — sikkerhed, vedligeholdelse, dokumentation, overholdelse, and community — has evolved independently, providing granular visibility into which aspects of Loongflow are strengthening or weakening over time.

Loongflow vs Alternativer

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

Vigtigste pointer

Ofte stillede spørgsmål

Er Loongflow sikker?
baidu-baige/LoongFlow med en Nerq Tillidsscore på 75.8/100 (B). Stærkeste signal: overholdelse (92/100). Score baseret på Sikkerhed (0/100), Vedligeholdelse (1/100), Popularitet (1/100), Dokumentation (1/100).
Hvad er Loongflows tillidsscore?
baidu-baige/LoongFlow: 75.8/100 (B). Score baseret på Sikkerhed (0/100), Vedligeholdelse (1/100), Popularitet (1/100), Dokumentation (1/100). Compliance: 92/100. Scorer opdateres når nye data bliver tilgængelige. API: GET nerq.ai/v1/preflight?target=baidu-baige/LoongFlow
Hvad er sikrere alternativer til Loongflow?
I kategorien Agent Framework, higher-rated alternatives include hashbrown (68/100), liquidos-ai/AutoAgents (72/100), goclaw (69/100). baidu-baige/LoongFlow scores 75.8/100.
Hvor ofte opdateres Loongflows sikkerhedsscore?
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
Kan jeg bruge Loongflow i et reguleret miljø?
Loongflow: 75.8/100 (B). Compliance: 47 of 52 jurisdictions. Evaluate against your own regulatory requirements.
API: /v1/preflight Trust Badge API Docs

Se også

Disclaimer: Nerqs tillidsscorer er automatiserede vurderinger baseret på offentligt tilgængelige signaler. De udgør ikke anbefalinger eller garantier. Foretag altid din egen verificering.

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