io.github.Hustada/collective-memory

MCPcommunity
v0.1.2io.github.HustadaUnknownUpdated 1mo agonpmGitHub

MCP server for persistent, semantic memory across AI sessions

MCP server for persistent, semantic memory across AI sessions. Store context, decisions, and learnings — recall them later with natural language search. AI assistants forget everything between sessions. Collective Memory fixes that. Store what matters, search by meaning, build context that compounds. Semantic search — Find memories by meaning, not keywords (OpenAI embeddings + LanceDB) Automatic…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
1mo agoLast update
Package
Authorio.github.Hustada
LicenseUnknown
Version0.1.2
Sourcemcp-registry
Trust Status
B
60/100Good
Listed in Forge index+10/10
Publisher identity verified+0/25
Publisher: run `forge publish` from the package repo to claim ownership
Ed25519 publish signature+0/10
Included automatically when the publisher runs `forge publish`
Domain verification+0/5
Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
CVE scan · clean+30/30
Static analysis · clean+20/20
npm provenance (Sigstore)+0/5
Publish from GitHub Actions with the --provenance flag
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain
Provenance
Dependencies60 resolved+ · none vulnerable
Tool surface2 tools · none privileged
Security scan✓ Cleanv0.1.2 · 20d ago
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

MCP server for persistent, semantic memory across AI sessions. Store context, decisions, and learnings — recall them later with natural language search. AI assistants forget everything between sessions. Collective Memory fixes that. Store what matters, search by meaning, build context that compounds. Semantic search — Find memories by meaning, not keywords (OpenAI embeddings + LanceDB) Automatic deduplication — Won't store near-duplicates (>95% similarity) Project scoping — Organize memories by…

Keywords
mcp