Diagnose Minni AI agent memory installation issues with evidence-based layer checks.
npx skills add https://github.com/infektyd/minni --skill minni-doctor
Please help me install this Agent Skill. Skill: minni-doctor Source: https://github.com/infektyd/minni/tree/main/plugins/minni/skills/minni-doctor Command: npx skills add https://github.com/infektyd/minni --skill minni-doctor
Minni is a local-first memory system for AI agents, but when it malfunctions, users often can't tell if the root cause is the daemon, vault, plugin wiring, hooks, or another component — leading to hours of guesswork and wasted troubleshooting time. This skill eliminates that frustration by running a systematic, layer-by-layer health diagnostic that identifies the exact root cause of any Minni issue, with concrete evidence to back up every finding, and never makes silent unapproved changes to your system.
Use the minni-doctor skill to run a full health diagnostic on your local Minni installation and get a prioritized list of all identified issues with evidence and fix recommendations.
High-intent search queries and answers about installing and using this skill.
To diagnose AI agent memory daemon connection failures, run an ordered layer-by-layer health check that tests the daemon socket and database first. This sequential diagnostic approach prevents false positives in higher layers like vault or plugin wiring by identifying the root cause with concrete RPC output evidence.
The best way to troubleshoot vault misconfigurations is to run an evidence-based diagnostic that inspects file paths and counts within the vault layer. This automated check pinpoints the specific configuration error causing pages to fail appearing in agent recall.
Agent memory loss after a restart can stem from plugin wiring errors, hook registration gaps, or identity layer delivery issues. A systematic diagnostic checks these dependencies in order, using file paths and RPC output to prove exactly which component failed to persist the session context.
You cannot fix model provider misconfigurations automatically because the diagnostic performs no silent state changes. It routes repair actions to the appropriate minni-install workflow for configuration issues, or escalates engine-internal problems to a human operator.
To resolve inbox lifecycle deadlocks and plan injection failures, execute a full diagnostic sweep across all supported agent runtimes. It isolates the failure point using concrete evidence like file counts and RPC output, then routes the repair path without altering system state.
infektydInstall and configure the Minni memory daemon and MCP plugin across AI agent runtimes.
supportersimulatorCoordinate L1-L4 repair escalation for degraded fleet channels via SSH.
family3253Install agent skills from GitHub repositories into supported runtimes via the add-skill CLI.
vfarcicRetrieve system health and diagnostic information via dot-ai version.
