"Temporal" matching MCP servers:

An MCP server that lets LLM agents accumulate organizational knowledge across sessions, scoped by domain, backed by Neo4j with enforced structural invariants.

Audits local datasets and ML training code for target, temporal, and entity leakage, PII exposure, and invalid evaluation design, returning structured evidence and pass/review/block verdicts before model training.

Open-source AI memory layer for LLM agents. Importance scoring, temporal decay, hierarchical memory (facts, summaries, themes), YMYL prioritization, and active retrieval with contradiction detection. Supports OpenAI, Anthropic, Ollama. Local-first with SQLite + FAISS.

Enables MCP hosts and applications to give AI agents governed persistent memory and bounded context with authorization, provenance, temporal/version control, lifecycle, audit, and optional provider-agnostic model execution.

A time MCP server that provides real current time and recency checks to prevent AI temporal hallucinations.

Provides real-time temporal drift to SOUL.md agent identities, enabling agents to check their current behavioral state through tools like get_daily_drift.

AI Constraint Engine that enforces CLAUDE.md, .cursorrules, and AGENTS.md rules as laws. 51 MCP tools for semantic conflict detection, patch review, drift scoring, pre-commit hooks, and Guardian Mode. Catches euphemisms, temporal evasion, and hidden violations that keyword matching misses.

Durable memory MCP server for AI agents. Temporal knowledge graph with hybrid semantic + keyword retrieval, LLM-powered fact extraction, conflict detection, and consolidation. Backed by SQLite or PostgreSQL. 11 MCP tools, 6 LLM provider backends. Part of JamJet.

A self-hosted, temporal knowledge-graph memory for AI coding agents — shared across projects, queryable across time, written and read via MCP by any Claude Code session.