Almanac
Open-source TypeScript platform (Apache-2.0) by tryprotege that turns any data source into an index queryable by an AI agent. Uses graph-enhanced indexing that reduces token consumption while improving retrieval accuracy. 5 query modes (naive, local, global, hybrid, mix) depending on question type. Auto-generates an index for any MCP server, designed for Claude Desktop, Cline, ChatGPT.
Strengths
- Graph-enhanced, entity-entity relations on top of semantic vector search
- 5 query modes (naive, local, global, hybrid, mix), adaptable to question type
- Auto-indexing for any MCP server, no need to code a connector
- Open-source Apache-2.0, multi-database, parallel processing
Limitations
- No npm package, full-stack TS to clone + pnpm install + pnpm start
- Heavier than classical vector RAG (graph to build and maintain)
- Young project (single source signal so far), maturity to confirm
Best for
- Agents that must cross several heterogeneous data sources (Slack, GitHub, Notion, drive)
- Enterprise RAG stack where entity-entity precision matters more than plain semantic match