Turns GitHub repository history into a cited maintainer skill for coding agents, providing tools to collect evidence, query the knowledge graph, and inspect bundles.
An MCP server that records decisions, rejected alternatives, and justifications, and retrieves them later to avoid re-litigating past choices. It stores data locally in SQLite and Markdown.
An MCP server that connects to Tana's Input API, allowing Large Language Models and other MCP clients to create and manipulate data in Tana workspaces.
A high-performance persistent memory layer for AI agents with multi-modal support, 47 retrieval channels, and 50-tier guardian chains, integrating 12+ memory approaches into a unified architecture.
Provides persistent, searchable memory for Claude Code using local SQLite, semantic embeddings, and full-text search, enabling Claude to recall and retrieve context across sessions and projects without external services.
Hosted MCP server for structured knowledge extraction and entity enrichment, allowing users to author JSON schemas, enrich entities using multiple LLM providers, and benchmark model performance.
MCP server that connects AI agents to Google NotebookLM, enabling natural language interaction with notebooks, including Q&A, source ingestion, and audio overview generation.
Lets Claude answer questions about your own past computer activity by reading a local, AES-256-encrypted database of screenshots, OCR text, calendar events, conversations, and location traces in read-only mode. Queries like "What was I doing last Wednesday at noon?" are resolved entirely on your machine, with no network service or cloud involvement.