io.github.las7/memharness
Bi-temporal, provenance-carrying long-term memory for AI agents, in one SQLite file.
Verdict not yet evaluated for this tool. The semantic screen takes adversarial cases first; coverage rolls out as the corpus expands (15/150 labels to graduation). The deterministic conformance probe is built but has not yet run on the public corpus, so a recorded verdict here is REVIEW or UNVERIFIED, never a clearing ALLOW. Until a verdict is recorded, an agent should treat this tool as not-yet-cleared and fall back to its own checks. Method: the eval, four-state verdict, honest limits.
Own this server? Screen its description →
MEMHARNESS_DBPath to the SQLite memory file. Defaults to a per-user data path; set to override.
Database MCP server for MySQL, MariaDB, PostgreSQL & SQLite with PII redaction and write-prevention
Manage Supabase projects end to end across database, auth, storage, realtime, and migrations. Moni…
Explore your Messages SQLite database to browse tables and inspect schemas with ease. Run flexible…