Query Markup Documents - On-device hybrid search for markdown files with BM25, vector search, and LLM reranking
Genesys Memory is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
What it does
The intelligence layer for AI memory — scoring, causal inference, lifecycle management, and active forgetting
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user genesys-memory-mcp '--' uvx genesys-memory
# 2 — ask your agent for something these tools do
# memory_store, memory_amend, memory_recall and 10 more
Genesys Memory costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. This one runs on your machine: your client starts Genesys Memory as a process under your own user, with your files and your network, so the tool surface below is what it can do to your computer rather than to a server somewhere else. Its scan result is on the Security tab — read the surface before you approve it.
This is a public server: you run it yourself and this marketplace is not in the path. You need uv (docs.astral.sh/uv): uvx comes with it. Claude Code registers it in one command; --scope user makes it available in every project. The '--' is in quotes so that PowerShell passes it on.
claude mcp add --scope user genesys-memory-mcp '--' uvx genesys-memoryReconnect, or start a new session, and the tools appear in the model’s tool list.
Nothing is required, but it can take OPENAI_API_KEY (OpenAI API key for embedding generation (optional — use GENESYS_EMBEDDER=local for no API key)), ANTHROPIC_API_KEY (Anthropic API key for LLM-based memory processing (optional)), GENESYS_EMBEDDER (Embedding provider: 'openai' or 'local' (default: openai)) if you want to set them.
One config entry your client uses to start the process locally. A local server runs with your file system and your network, which is why it is priced without metering.
13 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
Store a new memory in the causal memory graph. Use related for writer-specified typed edges (each {id, type}); related_to is legacy and always creates caused_by edges. May return possible_conflicts — heuristic hints, not verified contradictions.
No parameter schema on file.
Record a correction: creates a new memory that supersedes an existing one. The old memory is kept (decayed in recall results), not deleted.
No parameter schema on file.
Recall memories using hybrid search (vector + keyword + graph spreading activation).
No parameter schema on file.
Filtered vector search by status, category, date, or entity. Pass an EMPTY query to enumerate by recency instead (no vector search, no embedder needed): with since/active_since this answers
No parameter schema on file.
Traverse the memory graph from a starting node. Returns reachable nodes AND the edges of the induced subgraph among them (source/target/type/weight/created_by) — a superset of the BFS tree, so paths can be reconstructed.
No parameter schema on file.
Explain a memory
No parameter schema on file.
Pin a memory to core status.
No parameter schema on file.
Unpin a memory and re-evaluate core eligibility.
No parameter schema on file.
List all core memories, optionally filtered by category.
No parameter schema on file.
Permanently delete a memory node and all its edges.
No parameter schema on file.
Get graph statistics.
No parameter schema on file.
Configure core memory category preferences.
No parameter schema on file.
Promote a private memory to org visibility. Caller must own the node and belong to the target org.
No parameter schema on file.
- Every tool, no call limit
- No card, and mcprush charges nothing for it
- Source published under AGPL-3.0
- Runs on your machine — nothing of it reaches our gateway
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install Genesys Memory or to call it, at any volume.
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
| Term | Level | What it prices | Points |
|---|---|---|---|
| capability-exposure | minimal | capability blast radius (minimal) — client exposure if the model is manipulated | −0 |
| verification-discount | source | publisher verification (provenance) — cryptographic build provenance ties the artifact to its source | −0 |
| coverage-honesty | source | inspection depth (source) — how much of the target the scan could see | −0 |
What the scan could actually read
A grade is only as meaningful as its coverage, so the scanner publishes its own depth before it publishes its result.
No tools were enumerated, so prompt-injection, capability and toxic-flow analysis had no tool surface to inspect. To grade a package’s real runtime tools, scan the running server: --command "npx -y <package>".
Capability — what it could do if the model were manipulated
Tags derived from each tool’s schema and the implementation, not from what the tool calls itself. minimal is the level these add up to.
| Tool | Capability tags | Why the tag was assigned |
|---|---|---|
| No per-tool rows for this release — see the note below. | ||
Toxic-flow graph
The lethal trifecta, checked as a graph rather than as a checklist: untrusted input, a sensitive source and an external sink have to meet before there is a path worth worrying about.
The public result for this release does not print the flow graph, so there is nothing to show here. That is not the same as "no paths were found": what the scan did read is above, under coverage.
Supply chain and provenance
This is the first scan of this surface here, so there is nothing yet to compare it against.
Every result on this tab comes from one deterministic pass over the published package — offline, rule by rule, and auditable line by line above. Same methodology version, same bytes, same score.
Release history
Always latest — the install command names no version, so it installs the newest release when it runs; the current release on file is 0.6.0. Pin a release below and the command asks for exactly that one.
No release note was published with this version.
- The version this listing was on when mcprush began following its releases. The registry was not asked when it shipped, so this row carries no date.
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Any signed-in account that does not publish Genesys Memory can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.