Är Loongflow säker?
Loongflow — Nerq Trust Score 75.8/100 (Betyg B). Poäng baserad på 5 independent trust signals.
Loongflow är en programvara med ett Nerq-förtroendepoäng på 75.8/100 (B), baserat på 5 oberoende datadimensioner. Säkerhet: 0/100. Underhåll: 1/100. Popularitet: 1/100. Data hämtad från flera offentliga källor inklusive paketregister, GitHub, NVD, OSV.dev och OpenSSF Scorecard. Senast uppdaterad: n/a. Maskinläsbar data (JSON).
Är Loongflow säker?
Förtroendepoäng i detalj — Loongflow has a Nerq Trust Score of 75.8/100 (B). Measured across 5 independent trust signals.
Vad är Loongflows förtroendepoäng?
Loongflow har ett Nerq-förtroendepoäng på 75.8/100 med betyget B. Denna poäng baseras på 5 oberoende mätta dimensioner inklusive säkerhet, underhåll och communityanvändning.
Vilka är de viktigaste säkerhetsresultaten för Loongflow?
Loongflows starkaste signal är regelefterlevnad på 92/100. Inga kända sårbarheter har upptäckts.
Vad är Loongflow och vem underhåller det?
| Utvecklare | baidu-baige |
| Kategori | Agent Framework |
| Stjärnor | 351 |
| Källa | https://github.com/baidu-baige/LoongFlow |
| Frameworks | openai · anthropic |
| Protocols | rest |
Regelefterlevnad
| EU AI Act Risk Class | Not assessed |
| Compliance Score | 92/100 |
| Jurisdiktions | Assessed across 52 jurisdiktions |
Populära alternativ inom agent_framework
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-stjärnor. Nerq Trust Score: 76/100 (B).
Nerq independently analyzes every programvara, app, and extension across multiple trust signals including säkerhet vulnerabilities, underhåll activity, license regelefterlevnad, and communityanvändning.
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:
- Säkerhet (0/100): Loongflow's säkerhet posture is poor. This score factors in known CVEs, dependency vulnerabilities, säkerhet policy presence, and code signing practices.
- Underhåll (1/100): Loongflow is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (1/100): Documentation quality is insufficient. This includes README completeness, API dokumentation, usage examples, and contribution guidelines.
- Compliance (92/100): Loongflow is broadly compliant. Assessed against regulations in 52 jurisdiktions including the EU AI Act, CCPA, and GDPR.
- Community (1/100): Community adoption is limited. Baserad på GitHub-stjärnor, forks, download counts, and ecosystem integrations.
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:
- AI engineers building autonomous agent systems
- Research teams experimenting with multi-agent architectures
- Companies creating AI-powered automation workflows
How to read the signals: Loongflow's measured signals (säkerhet 0/100, underhåll 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 programvara:
- Check the source code — Granska repository's säkerhet policy, open issues, and recent commits for signs of active underhåll.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Loongflow's dependency tree. - Recension permissions — Understand what access Loongflow requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Loongflow in a sandboxed environment before granting access to production data or systems.
- Monitor continuously — Use Nerq's API to set up automated trust checks:
GET nerq.ai/v1/preflight?target=baidu-baige/LoongFlow - Granska 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.
- 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 säkerhet 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:
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.
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.
Autonomous agents can incur unexpected API costs or resource usage. Set budget limits and monitoring alerts when deploying Loongflow-based agents.
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.
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:
Configure Loongflow agents to require human approval for high-impact actions like payments, data deletion, or external API calls.
Autonomous agents built with Loongflow can incur unexpected costs through API calls and resource usage. Set hard spending limits and rate caps.
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.
Before deploying Loongflow-based agents in production, test with adversarial prompts designed to bypass guardrails and cause unintended actions.
Each agent should have the minimum permissions required. Never give an agent root access, admin credentials, or unrestricted API keys.
Situations That Warrant Oberoende 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:
- Environments handling sensitive or regulated data (healthcare, finance, government)
- Mission-critical systems where downtime has significant business impact
- Deployments with strict regulatory requirements that must be independently validated
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 programvaras, 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 säkerhet practices, consistent release cadence, and broad communityanvändning.
Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks måttlig 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 underhåll 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 säkerhet and quality. Conversely, a downward trend may signal reduced underhåll, 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 — säkerhet, underhåll, dokumentation, regelefterlevnad, and community — has evolved independently, providing granular visibility into which aspects of Loongflow are strengthening or weakening over time.
Loongflow vs Alternativ
In the agent_framework category, Loongflow scores 75.8/100. It ranks among the top tools in its category. For a detailed comparison, see:
- Loongflow vs hashbrown — Trust Score: 68.0/100
- Loongflow vs AutoAgents — Trust Score: 71.5/100
- Loongflow vs goclaw — Trust Score: 69.1/100
Viktigaste slutsatser
- Loongflow has a measured Nerq Trust Score of 75.8/100 (B) — a composite of independent signals, not a suitability judgment.
- Among agent frameworks, Loongflow scores significantly above the category average of 65/100 (a positional measurement relative to peers).
- The individual signals — säkerhet, underhåll, dokumentation, regelefterlevnad, community — are shown above. Weigh them against your own requirements.
- Query the current measured values via Nerq's Preflight API.
Vanliga frågor
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Disclaimer: Nerqs förtroendepoäng är automatiserade bedömningar baserade på offentligt tillgängliga signaler. De utgör inte rekommendationer eller garantier. Gör alltid din egen verifiering.