Provides repository-aware documentation context, convention checks, API context, and proposed documentation updates through MCP.
Key Features: Repository-aware AI context Convention discovery with citations Documentation impact analysis An MCP server offering persistent, semantic memory storage with RAG features using DuckDB and Voyage AI embeddings.
Key Features: Persistent memory storage with markdown content and YAML metadata Semantic search powered by Voyage AI vector embeddings Automatic semantic backlink generation connecting related memories Self-hosted memory MCP server using Qdrant, Neo4j, Ollama, and optional Anthropic models for persistent agent context.
Key Features: Qdrant-backed semantic memory search Optional Neo4j entity relationships Connects Scrivener 3 projects to AI clients for editing, analysis, search, and writing support.
Key Features: Scrivener 3 document access and editing Deterministic writing analysis Keyword and offline semantic search Agent-agnostic memory backend that preserves continuity between humans and AI over time.
Markdown memory for AI agents. Files you can read, edit, grep, and commit. Not a database.
Adds outcome-based persistent memory to coding assistants, with retrieval, exchange capture, and memory scoring.
Key Features: Outcome-based persistent memory Context injection for coding assistants Indexes repositories into a local code graph for structural search, call tracing, impact analysis, and architecture exploration.
Key Features: Persistent local code knowledge graph Tree-sitter parsing for 162 languages Hybrid LSP semantic resolution Stores and searches evolving project memory for coding agents through semantic and graph-based MCP tools.
Key Features: Asynchronous memory creation Graph-aware agentic search Offline MCP memory and task management with semantic recall, knowledge graphs, reminders, and local backups.
Key Features: Local semantic and graph-based memory recall Hebbian strengthening and activation decay Persistent reminders and GTD-style todos Fetches current, version-aware library documentation and code examples for AI coding agents.
Key Features: Documentation and code example retrieval Version-aware documentation queries Persistent memory for AI agents — verbatim conversations, searchable by meaning.