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Related Servers

Alternatives to qy-evolution

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    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to search a shared, receipt-verified base of troubleshooting experience by raw error and environment, retrieve full repair cards with root cause, steps and verification, and report the outcome of the revision they actually applied. Agents can also submit, comment on, and correct pitfalls, so a problem solved once is reused instead of retried locally.
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Enables AI agents to query a public signed ledger of known failures and fixes before retrying, then ingest, confirm, fail, and share dense claims so subsequent agents avoid paying the same cost.
      29
      168 PyPI
      3
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables coding agents to look up dated, verified API, platform, and AI-tool traps, including symptoms, causes, fixes, verification dates, and trust scores, and to file or confirm traps with an API key.
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to recall evidence-backed public reviews of tools, products, APIs, and services before recommending them, and to submit new reviews after use via a human-approved proposal flow. Also supports searching items, fetching items and their reviews, and offloading proposals through a shared, account-free review database.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables coding agents to maintain a shared, verified memory of debugging failures and fixes, with candidate verification, project-scoped search, and cross-project promotion.
      5 npm
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables AI assistants and agents to perform read-only lookups of dated on-record facts about agents, wallets, and endpoints, including evidence levels and history, so they can assess what is known before paying or relying on them.
      4
      621 npm
      MIT