By sentiolabs
Context window protection for Claude Code — sandboxed execution, FTS knowledge base, session continuity. Powered by a single Rust binary.
Check mneme system health — runtime availability, server status, database health, and configuration
Store a memory in mneme — use when you learn a preference, knowledge, or decision worth remembering
First-run setup and validation — checks binary, server, and guides installation
Show context savings statistics — token consumption, savings ratio, and per-tool breakdown
Matches all tools
Hooks run on every tool call, not just specific ones
Executes bash commands
Hook triggers when Bash tool is used
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npx claudepluginhub sentiolabs/claude-marketplace --plugin mnemeContext window protection for Claude Code — sandboxed execution, FTS knowledge base, session continuity. Powered by a single Rust binary.
Central issue tracker for AI-assisted coding workflows. Manage tasks, track work, and maintain context with simple CLI commands.
Detect low-quality AI-generated code using a 3-lens parallel review architecture with model-tiered agents. Scans for AI authorship signals, idiom violations, and code quality issues.
Central issue tracker for AI-assisted coding workflows. Manage tasks, track work, and maintain context with simple CLI commands.
Use Memind as persistent memory for Claude Code sessions.
The bridge between Claude's working memory and Basic Memory's durable knowledge graph — session briefings, pre-compaction checkpoints, and capture reflexes
Long-term semantic memory for Claude Code, powered by OpenViking. Auto-recall relevant memories at session start and capture important information during conversations.
MCP server that saves 98% of your context window with session continuity. Sandboxed code execution in 11 languages, FTS5 knowledge base with BM25 ranking, and automatic state restore across compactions.
Open-source, local-first Claude Code plugin for token reduction, context compression, and cost optimization using hybrid RAG retrieval (BM25 + vector search), reranking, AST-aware chunking, and compact context packets.
Complete AI coding workflow system. Self-correcting memory + persistent FTS5-indexed research wikis + auto-research loop + multi-LLM council on a single SQLite store. 33 skills, 8 agents, 22 commands, 37 hook scripts across 24 events. Cross-agent via SkillKit.