Trust score
45/100
MarketNow Registry / Data / sparkvibe-io/memorymesh
sparkvibe-io/memorymesh
The SQLite of AI Memory — persistent, zero-dependency memory for any LLM application. Dual-store architecture (project + global), pluggable embeddings (local/Ollama/OpenAI), semantic search with time
Data
v0.0.0
by sparkvibe-io
Install risk
Runs registry code
Source
smithery
Indexed
2026-09-10
Install
$ npx -y @smithery/cli@latest install sparkvibe-io/memorymeshInstalling via npx/uvx/npm install executes arbitrary code from the public registry on your machine. This is the install-risk semantic of the MarketNow catalog — verify the publisher before running it.
How MarketNow scored this
Sentinel Index Heuristics — a security-first estimate from public signals:
- Package age and release activity (stale repositories lose points)
- Verified adoption: registry downloads or GitHub stars, not follower counts
- Typosquat distance against the 150 most-installed MCP packages
- Injection markers scanned in the package description
Heuristic, not a guarantee. For verified agent credentials and revocation, see the MarketNow Trust API.
What is sparkvibe-io/memorymesh?
The SQLite of AI Memory — persistent, zero-dependency memory for any LLM application. Dual-store architecture (project + global), pluggable embeddings (local/Ollama/OpenAI), semantic search with time Indexed by MarketNow with trust 45/100 (Runs registry code).
How do I install it?
Run $ npx -y @smithery/cli@latest install sparkvibe-io/memorymesh Installing via npx/uvx/npm install executes arbitrary code from the public registry on your machine. This is the install-risk semantic of the MarketNow catalog — verify the publisher before running it.
What does the trust score mean?
Security-first heuristic over public signals (age, adoption, typosquat distance, injection markers). It is not a popularity ranking and not a guarantee of safety. sparkvibe-io/memorymesh scores 45/100.