simba

memories-learn

Extract learnings from session transcripts and store in semantic memory database

AI & Automation Listed

memories-recall-verify

Self-correcting memory recall — when recalled memories are ambiguous or conflicting, re-query for the specific entity (or ask) before answering, and never fabricate when memory is insufficient

memories-sanitize

Review recent memories and remove invalid or misleading ones from the semantic memory database

memory-stats

View statistics and recent entries from the persistent memory database. Shows session count, knowledge areas, facts, and recent activity.

qmd

Local hybrid search for markdown notes and docs. Use BEFORE reading files to save tokens - search first, read only what's relevant. Provides 90% token savings on exploration tasks.

remember

Save the current work session to persistent memory for future context. Summarizes accomplishments, tracks files modified, and stores learnings for cross-session continuity.

Enforce Simba's Codex lifecycle routine for coding tasks. Use when starting or finishing implementation work in a Simba-enabled repo to run `simba codex-status` at start, `simba codex-extract` when extraction is pending, and `simba codex-finalize` before final handoff.

simba-onboard

Analyze project markdown instruction files and generate consolidated SIMBA core instructions with markers. Use when Codex needs to onboard a repo by reading CLAUDE.md/AGENTS.md and .claude docs, then producing .claude/rules/CORE_INSTRUCTIONS.md (or configured filename), updating core reference blocks, and verifying markers.

AI & Automation Listed

token-stats

Show token economics comparing usage with turbo-search vs without. Demonstrates actual savings from search-first approach.

turbo-index

Index the current project for optimized search with QMD semantic search and fast file suggestions. Run this when entering a new codebase or after significant changes. Saves 60-80% tokens on exploration tasks.