简介

Flywheel

Persistent knowledge graph memory for AI agents. Structured vault with semantic search, read, and write tools. Works with Obsidian.

Features

• Hybrid search, three channels fused. Full-text (BM25), entity, and semantic vector search combined by Reciprocal Rank Fusion. Keyword precision and meaning recall in a single call.
• U-shaped result ordering. Best hits placed at the head and tail where LLMs actually read, beating the "lost in the middle" failure.
• 13-layer wikilink scoring. Auto-suggests [[entities]] with a transparent, ablatable score, then learns from which links survive.
• Self-correcting flywheel. Implicit feedback, survival tracking, edge-weight accumulation, and suppression. Day 1 it guesses; month 3 it knows your graph.
• Gravity ranking. Surfaces what matters now by pull, not just lexical match (Gravity Basin Protocol companion).
• Knowledge-graph queries. Backlinks, forward links, hub detection, shortest path between notes, orphan and dead-end detection.
• AST-driven mutations. Every structure-sensitive write runs over a real markdown syntax tree (mdast via micromark, with GFM, frontmatter, and math), not string-bashing. Protected zones (code, tables, frontmatter, math, callouts) are computed from the tree, so edits and auto-wikilinks never corrupt your documents. Regex fallback only if a file fails to parse.
• Structured read, safe write. Section-level reads and outlines; content-hash conflict detection on writes; move and rename that preserve links.
• Semantic over an open substrate. Embeddings with contextual prefixes and dual-granularity section expansion, all over plain markdown you own.
• Multi-vault, local-first, audited. One vault or many; every mutation logged; no lock-in, because it is just files.