Knowledge Base Search (ttdonovan) vs neurodivergent-memory

Side-by-side comparison of two Ai projects on AiList.

Tagline
Indexes and searches markdown knowledge bases using BM25 ranking algorithm, built in Rust.
A TypeScript-based MCP server implementing a memory system inspired by neurodivergent cognitive styles. It organizes thoughts into five districts (knowledge domains), ranks search results using BM25 semantic ranking, and stores memories as a persistent knowledge graph with bidirectional connections.
GitHub Stars
1
6
Stars This Week
—
—
Language
—
—
License
—
—
Built With
—
—
Views
49
70
Clicks
5
2
Links

List Your Project

Join the directory Ai agents read. Free forever.

Submit Your Project