Proof report
InfiniteContext — Tiered Memory for AI
Every verifiable claim behind this project, grouped by epistemic status, each with a source you can check — 8 claims, 8 source-linked.
Project status: In development · last verified 2026-08-28
← InfiniteContext — Tiered Memory for AI overview Repository ↗
Shipped
(8)The named artifact (test, doc, code path) exists in the repo today and is runnable. Per-claim, not per-project — a claim can be shipped while the parent project is still in development.
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Exact flat vector store with persisted, rebuildable index artifacts (save/load/merge/split), plus an approximate HNSW backend for retrieval at scale
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Hierarchical bucket memory with a multi-strategy retriever
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Automatic prompt/output categorization with keyword, vector-similarity, and adaptive strategies
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Multi-level summarization via OpenAI-compatible chat completions, with a deterministic extractive fallback when no LLM client is configured
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Negation-aware retrieval (Widdows orthogonal negation)
src/core/NegationAwareRetrieval.ts; tests/core/NegationAwareRetrieval.test.ts ↗
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Pluggable storage tiers — local disk and Google Drive behind a common provider interface
src/providers/{StorageProvider,LocalStorageProvider,GoogleDriveProvider}.ts ↗
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One governance contract across all stored memory classes — redaction, deletion with tombstones, retention, and export — with tamper-evident Ed25519 signed receipts chained over governed operations, signing-key rotation retaining retired keys for verification, and erasure that survives restart
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Continuous integration on Node 20 and 22 (build + test)