Skip to main content
Glama

Related Servers

Alternatives to Sentinela MCP

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables coding agents to persist and retrieve cause-effect project memories across sessions using a local ledger and hosted ranking tools, with corrections always prioritized and unreliable answers suppressed.
      542 npm
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Enables AI agents to persistently recall, apply, and reinforce solutions to previously solved problems across different models and tools, so mistakes are not repeated.
      14
      20 npm
      1
      MIT
    • A
      license
      A
      quality
      F
      maintenance
      Self-improving, verifiable memory for AI coding agents. Learns how you work, stops repeating mistakes, models each project, recalls the right lesson at the right moment. Every memory is signed and tamper-evident. Local-first.
      8
      2
      Apache 2.0
    • A
      license
      B
      quality
      C
      maintenance
      Enables programming agents to capture errors and conversation signals, reflect on root causes, consolidate reusable skills, and retrieve relevant context for future tasks, providing a self-learning memory loop.
      15
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables AI coding assistants to share persistent local memory across sessions and agents, so rules, mandatory specs, verified code snippets, and past mistakes are automatically surfaced before code is generated. It also lets agents log repeated failures as recurrence-counted 'vaccines', preventing the same errors from recurring across Claude, VS Code agents, and local LLMs.
      7
      1
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to persist and recall episodic memories across sessions, consolidating experiences into reusable rules and lessons to reduce repeated mistakes and improve task performance.
      1
      MIT