Hidden-History/ai-memory

aim-model-dispatch

Select the appropriate LLM model for each agent based on task complexity and role

Idioma do texto original: inglês

aim-content-drift

Detect content drift of an operator's scaffolded sanctum files (BOND, CAPABILITIES, CREED, INDEX, LORE, MEMORY, PERSONA, PULSE) against the evolving reference templates, and surface recommended add/remove WITH rationale — never a silent overwrite. Use on a…

Idioma do texto original: inglês

aim-tracking-rotate

Enforce oversight-file caps at session-close, rotate over-cap append-only-logs and registers into dated archive shards, and fix over-cap files non-interactively (including MEMORY.md lossless relocation).

Idioma do texto original: inglês

aim-parzival-loader

Two-phase capped startup context loaders for Parzival (activation + session-start)

Idioma do texto original: inglês

aim-tracking-freshness

Scan oversight tracking files, regenerate bug/TD INDEX views, report STATUS divergences, verify phantom-open bug candidates against git history, and check decision-log body coverage.

Idioma do texto original: inglês

memory-status

Check ai-memory system status and collection stats

Idioma do texto original: inglês

memory-status

Check ai-memory system status and collection stats

Idioma do texto original: inglês

save-memory

Manually save current session context to ai-memory

Idioma do texto original: inglês

search-memory

Search ai-memory for relevant stored memories

Idioma do texto original: inglês

search-memory

Search ai-memory for relevant stored memories

Idioma do texto original: inglês

aim-parzival-team-builder

Design agent team structure for parallel work execution

Idioma do texto original: inglês

aim-best-practices-researcher

Research current best practices for any technology, pattern, or coding standard. Use when asking about best practices, conventions, coding standards, recommended approaches, or how should I questions. Searches local knowledge first, then web for current…

Idioma do texto original: inglês

aim-search

Search memory system with advanced filtering and intent detection

Idioma do texto original: inglês

aim-best-practices-researcher

Research current best practices for any technology, pattern, or coding standard. Use when asking about best practices, conventions, coding standards, recommended approaches, or how should I questions. Searches local knowledge first, then web for 2024-2026…

Idioma do texto original: inglês

aim-wiki

Creates and maintains an up-to-date wiki of the user's current project, in-session, while you work — a dedicated wiki/ directory with a quickstart entrypoint plus section pages, grounded in source and git evidence. Claude Code itself authors the pages; a…

Idioma do texto original: inglês

aim-sot

Tracks the source-of-truth for each part of the user's own project — registry schema, templates, and engine (consult / detect-propose / verify). Detects file and directory drift (content-digest and directory tree-digest), runs a machine-local shadow-git…

Idioma do texto original: inglês

aim-agent-dispatch

Generic and BMAD agent selection, instruction preparation, and activation routing

Idioma do texto original: inglês

aim-agent-lifecycle

tmux agent lifecycle management for non-Claude providers

Idioma do texto original: inglês

aim-parzival-bootstrap

Load Parzival cross-session memory from Qdrant

Idioma do texto original: inglês

aim-lore-hygiene

Enforce hygiene on per-operator sanctum files (LORE/MEMORY compaction, PERSONA Evolution-Log section-cap, CREED/BOND cap-check) — line-cap enforcement, anchored-summarization compaction at ~80% of cap, the prune-vs-archive decision, and a conservation 0-lost…

Idioma do texto original: inglês

parzival-save-decision

Save a Parzival session decision to Qdrant for cross-session memory and L2 retrieval

Idioma do texto original: inglês

aim-agent-sanctum-init

Initialize sanctum directory for an agent. Runs deterministic First Breath scaffolding — creates folder structure and writes template-substituted files.

Idioma do texto original: inglês

aim-github-search

Search GitHub issues, PRs, commits, and CI results with semantic search and filters

Idioma do texto original: inglês

aim-status

Check AI Memory system status

Idioma do texto original: inglês

aim-github-search

Search GitHub issues, PRs, commits, and CI results with semantic search and filters

Idioma do texto original: inglês

aim-github-sync

Synchronize GitHub issues, PRs, commits, and CI results to AI Memory

Idioma do texto original: inglês

aim-jira-search

Search Jira issues and comments with semantic search and filters

Idioma do texto original: inglês

aim-jira-sync

Synchronize Jira issues and comments to AI Memory

Idioma do texto original: inglês

aim-parzival-constraints

Load Parzival behavioral constraints as context reminder

Idioma do texto original: inglês

aim-freshness-report

Scan code-patterns collection for stale memories by comparing against GitHub code blob data

Idioma do texto original: inglês

aim-pause-updates

Toggle auto_update_enabled kill switch for automatic memory updates

Idioma do texto original: inglês

aim-purge

Purge old memories from Qdrant collections with safety guards

Idioma do texto original: inglês

aim-refresh

Manually re-evaluate freshness for code-patterns memories

Idioma do texto original: inglês

aim-save

Manually save current session to memory

Idioma do texto original: inglês

aim-settings

Display current memory system configuration and settings

Idioma do texto original: inglês

parzival-save-handoff

Save Parzival session handoff document to Qdrant for cross-session memory

Idioma do texto original: inglês

parzival-save-insight

Save a Parzival insight or learning to Qdrant for cross-session memory

Idioma do texto original: inglês

aim-agent-dispatch

Generic agent instruction preparation and activation -- Layer 3a

Idioma do texto original: inglês

aim-agent-lifecycle

Shared agent lifecycle management -- send, monitor, review, accept/loop, shutdown, summary

Idioma do texto original: inglês

aim-model-dispatch

Select the appropriate LLM model for each agent based on task complexity and role

Idioma do texto original: inglês