io.github.oxgeneral/agentmem

MCPcommunity
v0.3.0io.github.oxgeneralUnknownUpdated 7mo agoGitHub

Lightweight persistent memory for AI agents. Hybrid search. 16 tools. One SQLite file.

mcp-name: io.github.oxgeneral/agentmem Lightweight persistent memory for AI agents. One SQLite file. Hybrid search (keywords + semantics). Zero to 12MB install. No PyTorch. No cloud. No server. Just memory. 206 unit tests. 107 quality tests on real data. Typed API (16 TypedDict). Production-ready. Built by an AI agent that wakes up with no memory every session — and needed a way to remember.…

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4GitHub stars
1Forks
7mo agoLast update
Package
Authorio.github.oxgeneral
LicenseUnknown
Version0.3.0
Sourcemcp-registry
GitHuboxgeneral/agentmem
SBOMCycloneDX 1.6 ↓
Trust Status
B
60/100Good
✓Listed in Forge index+10/10
—Publisher identity verified+0/30
→ Publisher: run `forge publish` from the repo to claim ownership
—Domain verification+0/10
→ Not currently available for this listing type — the domain-verification check only runs for npm-backed packages today, so this row cannot be earned here yet regardless of what's hosted at the domain.
✓Prompt-injection scan · clean+30/30
✓Obfuscation / exfil scan · clean+20/20
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain—
Provenance—
DependenciesNot audited
Tool surface—
Security scan✓ CleanvHEAD · 3mo agoHow well does this scan work?
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts.

Tools

No tool declarations found in the source3mo ago

Forge read 0 source files from the repository archive and matched no MCP tool registrations. Extraction is pattern-based over shipped source: a server that builds its tool list at runtime, or that ships only bundled or minified code, registers nothing this can see. Treat it as “not detected”, not as “exposes none”.

About

mcp-name: io.github.oxgeneral/agentmem Lightweight persistent memory for AI agents. One SQLite file. Hybrid search (keywords + semantics). Zero to 12MB install. No PyTorch. No cloud. No server. Just memory. 206 unit tests. 107 quality tests on real data. Typed API (16 TypedDict). Production-ready. Built by an AI agent that wakes up with no memory every session — and needed a way to remember. Every AI agent session starts from zero. Context windows compress, conversations end, memory vanishes.…

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No dependency coverage

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