Er Agent2Agent trygt?
Agent2Agent — Nerq Trust Score 67.2/100 (Karakter C). Basert på analyse av 5 tillidsdimensjoner vurderes det som generelt trygt men med visse bekymringer. Sist oppdatert: 2026-04-07.
Bruk Agent2Agent med forsiktighet. Agent2Agent er en software tool har en Nerq-tillitspoeng på 67.2/100 (C), based on 5 uavhengige datadimensjoner. Under Nerqs verifiserte terskel Sikkerhet: 0/100. Vedlikehold: 1/100. Popularitet: 0/100. Data hentet fra flere offentlige kilder inkludert pakkeregistre, GitHub, NVD, OSV.dev og OpenSSF Scorecard. Sist oppdatert: 2026-04-07. Maskinlesbare data (JSON).
Er Agent2Agent trygt?
CAUTION — Agent2Agent har en Nerq-tillitspoeng på 67.2/100 (C). Har moderat tillitssignaler, men viser noen bekymringsområder that warrant attention. Suitable for development use — review sikkerhet and vedlikehold signals before production deployment.
Hva er tillitspoengene til Agent2Agent?
Agent2Agent har en Nerq-tillitspoeng på 67.2/100 med karakteren C. Denne poengsummen er basert på 5 uavhengig målte dimensjoner, inkludert sikkerhet, vedlikehold og samfunnsadopsjon.
Hva er de viktigste sikkerhetsfunnene for Agent2Agent?
Agent2Agents sterkeste signal er samsvar på 100/100. Ingen kjente sårbarheter er funnet. It has not yet reached the Nerq Verified threshold of 70+.
Hva er Agent2Agent og hvem vedlikeholder det?
| Utvikler | XuanHoangee2 |
| Kategori | Coding |
| Kilde | https://github.com/XuanHoangee2/agent2agent |
| Frameworks | a2a |
| Protocols | a2a |
Regulatorisk samsvar
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Populære alternativer i coding
What Is Agent2Agent?
Agent2Agent is a software tool in the coding category: A framework for creating autonomous agents.. Nerq Trust Score: 67/100 (C).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including sikkerhet vulnerabilities, vedlikehold activity, license samsvar, and fellesskapsadopsjon.
How Nerq Assesses Agent2Agent's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensjoner. Here is how Agent2Agent performs in each:
- Sikkerhet (0/100): Agent2Agent's sikkerhet posture is poor. This score factors in known CVEs, dependency vulnerabilities, sikkerhet policy presence, and code signing practices.
- Vedlikehold (1/100): Agent2Agent is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (0/100): Documentation quality is insufficient. This includes README completeness, API dokumentasjon, usage examples, and contribution guidelines.
- Compliance (100/100): Agent2Agent is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Basert på GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 67.2/100 (C) reflects the weighted combination of these signals. This is below the Nerq Verified threshold of 70. We recommend additional due diligence before production deployment.
Who Should Use Agent2Agent?
Agent2Agent is designed for:
- Developers and teams working with coding tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Agent2Agent is suitable for development and testing environments. Before production deployment, conduct a thorough review of its sikkerhet posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.
How to Verify Agent2Agent's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Gjennomgå repository's sikkerhet policy, open issues, and recent commits for signs of active vedlikehold.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for kjente sårbarheter in Agent2Agent's dependency tree. - Anmeldelse permissions — Understand what access Agent2Agent requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Agent2Agent 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=agent2agent - Gjennomgå license — Confirm that Agent2Agent'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 sikkerhet concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Agent2Agent
When evaluating whether Agent2Agent is safe, consider these category-specific risks:
Understand how Agent2Agent processes, stores, and transmits your data. Gjennomgå tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Agent2Agent's dependency tree for kjente sårbarheter. Tools with outdated or unmaintained dependencies pose a higher sikkerhet risk.
Regularly check for updates to Agent2Agent. Sikkerhet patches and bug fixes are only effective if you're running the latest version.
If Agent2Agent connects to external APIs or services, each integration point is a potential attack surface. Audit all third-party connections, verify that data shared with external services is minimized, and ensure that integration credentials are rotated regularly.
Verify that Agent2Agent's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Agent2Agent in violation of its license can expose your organization to legal liability.
Agent2Agent and the EU AI Act
Agent2Agent is classified as Minimal Risk under the EU AI Act. This is the lowest risk category, meaning it faces minimal regulatory requirements. However, transparency obligations still apply.
Nerq's samsvar assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal samsvar.
Best Practices for Using Agent2Agent Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Agent2Agent while minimizing risk:
Periodically review how Agent2Agent is used in your workflow. Check for unexpected behavior, permissions drift, and samsvar with your sikkerhet policies.
Ensure Agent2Agent and all its dependencies are running the latest stable versions to benefit from sikkerhet patches.
Grant Agent2Agent only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Agent2Agent's sikkerhet advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Agent2Agent is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Agent2Agent?
Even promising tools aren't right for every situation. Consider avoiding Agent2Agent in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional samsvar review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Agent2Agent's trust score of 67.2/100 meets your organization's risk tolerance. We recommend running a manual sikkerhet assessment alongside the automated Nerq score.
How Agent2Agent Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among coding tools, the average Trust Score is 62/100. Agent2Agent's score of 67.2/100 is above the category average of 62/100.
This positions Agent2Agent favorably among coding tools. While it outperforms the average, there is still room for improvement in certain trust dimensjoner.
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 Agent2Agent 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 vedlikehold patterns change, Agent2Agent'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 sikkerhet and quality. Conversely, a downward trend may signal reduced vedlikehold, growing technical debt, or unresolved vulnerabilities. To track Agent2Agent's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=agent2agent&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 — sikkerhet, vedlikehold, dokumentasjon, samsvar, and community — has evolved independently, providing granular visibility into which aspects of Agent2Agent are strengthening or weakening over time.
Agent2Agent vs Alternativer
In the coding category, Agent2Agent scores 67.2/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Agent2Agent vs AutoGPT — Trust Score: 74.7/100
- Agent2Agent vs ollama — Trust Score: 73.8/100
- Agent2Agent vs langchain — Trust Score: 86.4/100
Viktigste punkter
- Agent2Agent has a Trust Score of 67.2/100 (C) and is not yet Nerq Verified.
- Agent2Agent shows moderat trust signals. Conduct thorough due diligence before deploying to production environments.
- Among coding tools, Agent2Agent scores above the category average of 62/100, demonstrating above-average reliability.
- Always verify safety independently — use Nerq's Preflight API for automated, up-to-date trust checks before integration.
Ofte stilte spørsmål
Er Agent2Agent trygt?
Hva er tillitspoengene til Agent2Agent?
Hva er tryggere alternativer til Agent2Agent?
Hvor ofte oppdateres Agent2Agents sikkerhetspoeng?
Kan jeg bruke Agent2Agent i et regulert miljø?
Se også
Disclaimer: Nerqs tillitspoeng er automatiserte vurderinger basert på offentlig tilgjengelige signaler. De utgjør ikke anbefalinger eller garantier. Utfør alltid din egen verifisering.