Search / io.github.kKEo/memors
memors
L0· runs locallyLocal, explainable knowledge base for AI agents: hybrid search with provenance over SQLite.
v1.6.4 · active · repository · website · descriptor JSON · versions
Search / io.github.kKEo/memors
L0· runs locallyLocal, explainable knowledge base for AI agents: hybrid search with provenance over SQLite.
v1.6.4 · active · repository · website · descriptor JSON · versions
{
"bundle": "https://github.com/kKEo/memors/releases/download/v1.6.4/memors-mcp_1.6.4_linux_amd64.tar.gz",
"registry_type": "mcpb",
"note": "Install through the client's bundle installer; no command line form."
}{
"bundle": "https://github.com/kKEo/memors/releases/download/v1.6.4/memors-mcp_1.6.4_linux_amd64.tar.gz",
"registry_type": "mcpb",
"note": "Install through the client's bundle installer; no command line form."
}{
"bundle": "https://github.com/kKEo/memors/releases/download/v1.6.4/memors-mcp_1.6.4_linux_amd64.tar.gz",
"registry_type": "mcpb",
"note": "Install through the client's bundle installer; no command line form."
}{
"bundle": "https://github.com/kKEo/memors/releases/download/v1.6.4/memors-mcp_1.6.4_linux_amd64.tar.gz",
"registry_type": "mcpb",
"note": "Install through the client's bundle installer; no command line form."
}{
"bundle": "https://github.com/kKEo/memors/releases/download/v1.6.4/memors-mcp_1.6.4_linux_amd64.tar.gz",
"registry_type": "mcpb",
"note": "Install through the client's bundle installer; no command line form."
}{
"bundle": "https://github.com/kKEo/memors/releases/download/v1.6.4/memors-mcp_1.6.4_linux_amd64.tar.gz",
"registry_type": "mcpb",
"note": "Install through the client's bundle installer; no command line form."
}{
"bundle": "https://github.com/kKEo/memors/releases/download/v1.6.4/memors-mcp_1.6.4_linux_amd64.tar.gz",
"registry_type": "mcpb",
"note": "Install through the client's bundle installer; no command line form."
}{
"bundle": "https://github.com/kKEo/memors/releases/download/v1.6.4/memors-mcp_1.6.4_linux_amd64.tar.gz",
"registry_type": "mcpb",
"note": "Install through the client's bundle installer; no command line form."
}Not scored: fewer than three checks apply, usually because no remote answered a credential-free probe or the server is a local package.
protocol.modern, protocol.stateless, protocol.transport, protocol.list_ttlno remote answered a protocol handshake (not probed yet, unreachable, or local-only)auth.prm, auth.as_metadata, auth.cimdno remote uses OAuthauth.secret_in_urlno templated URLtools.descriptions, tools.description_length, tools.schemas, tools.annotations, tools.directory_hints, tools.token_cost, tools.api_dumptool list unknown (behind auth, not probed, or empty)stability.changes, stability.rug_pulltool list unknowndeps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI packageNo tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.
Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.
+repository +namespace-matches-repo +website ~liveness-unmeasured +updated-2d-ago
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
| package | registry | version | runtime | secrets |
|---|---|---|---|---|
https://github.com/kKEo/memors/releases/download/v1.6.4/memors-mcp_1.6.4_linux_amd64.tar.gz | mcpb | 1.6.4 | – |
No tools observed. Local packages are never executed by the registry.
Schemas: list_tools.
{
"name": "io.github.kKEo/memors",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-09-29/server.schema.json",
"version": "1.6.4",
"packages": [
{
"version": "1.6.4",
"transport": {
"type": "stdio"
},
"fileSha256": "af2474483db39b9f056b439718882a398e338fe5f377467bda550b8f0050ca4f",
"identifier": "https://github.com/kKEo/memors/releases/download/v1.6.4/memors-mcp_1.6.4_linux_amd64.tar.gz",
"registryType": "mcpb",
"environmentVariables": [
{
"name": "MEMORS_KB",
"format": "string",
"default": "default",
"description": "Name of the knowledge base to open; one SQLite file per name under $MEMORS_HOME/kb/."
},
{
"name": "MEMORS_HOME",
"format": "string",
"description": "Base directory for knowledge bases and settings (default ~/.memors-mcp)."
},
{
"name": "MEMORS_MODEL",
"format": "string",
"description": "Embedding model id from `memors-mcp model ls` (default granite-small-r2)."
}
]
}
],
"repository": {
"url": "https://github.com/kKEo/memors",
"source": "github"
},
"websiteUrl": "https://github.com/kKEo/memors",
"description": "Local, explainable knowledge base for AI agents: hybrid search with provenance over SQLite."
}