By ruvnet
Build self-optimizing agent memory using ruLake cache: pin facts, decisions, or results with verifiable receipts and metadata; search for similar items via top-k ranked hits with scores, decision traces, freshness, latency, and cost metrics. Enables hit-ratio tuning, drift detection, and audit-driven improvements for faster recall over time.
Compact the audit ledger and frequently-recalled keys into a long-term memory bundle — pinned witness + summary statistics. The pinned bundle survives restarts.
Drop a key from the witnessed cache. The next access re-primes from the backend. Useful for invalidating stale memories or retiring obsolete decisions.
Force a collection into the warm cache by pre-priming. Useful before a high-traffic agent session starts. Wraps rulake_warm_from_dir.
Search the witnessed memory for what's similar to a query. Returns hits plus a decision trace (witness, freshness, substrates, latency, cost).
Pin a fact / decision / result into the witness-anchored ruLake cache. Subsequent /memory-recall calls for the same key return in about 1 ms with a verifiable receipt.
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Try the live Console → — boots in DEMO, auto-probes the hosted MCP at
rulake-mcp.ruv.io, flips to● LIVEwhen the wire's up. Eight tools served, zero install.
ruLake gives your AI agents memory that gets faster the more it's used. Point it at the storage you already have (S3, BigQuery, Snowflake, Parquet, files), and every agent — on every host — shares the same fast, trustworthy recall. It learns what gets asked (so the next ask returns in about a millisecond), pins each answer to a cryptographic receipt (so two agents on two machines see the byte-identical result), and refuses to guess when the underlying data has changed (an honest "I don't know" beats a confident lie). Roughly 1 ms per lookup at 100,000 things to remember, 32× less RAM than the raw embeddings, zero per-query cost.
Created by rUv. Part of the RuVector ecosystem alongside
ruvector-rabitq(1-bit compression kernel) and RVF (durable segment format). Powered by Cognitum.
# Five install paths. Pick the one that fits where your agent runs.
cargo add rulake # Rust
pip install rulake # Python
npm install rulake # Node.js / TypeScript (native binary)
npm install rulake-wasm # Browsers, Cloudflare Workers, Deno, Bun
# Claude Code, Cursor, Cline — install the marketplace (ADR-009)
/plugin marketplace add ruvnet/RuLake
/plugin install rulake-stack@rulake-marketplace
/reload-plugins # required — Claude Code's install message asks for this
# Slash commands resolve via <plugin>:<command>. Type /ru to autocomplete.
/rulake-stack:rulake-query "what does ADR-157 commit to?"
/rulake-stack:rulake-verify path/to/table.rulake.json
/rulake-stack:rulake-bundle-info path/to/table.rulake.json
rulake-stack is the killer-path install. To use the namespaced form /rulake-core:*, /rulake-witness:*, or /rulake-kernels:*, install those plugins separately (/plugin install <name>@rulake-marketplace).
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