A Python library that adds time-travel queries to your PostgreSQL database. Query any entity at any point in history.
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Updated
May 13, 2026 - Python
A Python library that adds time-travel queries to your PostgreSQL database. Query any entity at any point in history.
Temporal Knowledge Graph System for Architectural Memory - Track decisions, patterns, and failures with MCP integration for Claude Code/Desktop
ReMemNetDB is an LLM-powered temporal knowledge graph database that tracks how entities and relationships evolve over time. Combining semantic search with time-aware queries, it helps build AI systems that remember context and changes—not just facts—making data more meaningful and actionable.
Production-grade time-versioned key-value store with snapshots, LRU caching, TTL, and async support
Reference implementation of the Observability Watermark Specification (OWS)
Python SDK for Relata DB — sovereign intelligence database by ZySec.AI
A data structure that maps whatever world it's shown — real or fiction. The memory under the holodeck.
TypeScript SDK for Relata DB — sovereign intelligence database by ZySec.AI
Eva — Geo-Temporal Context Core for LLM Agents
Time-aware Merkle trees for blockchain, audit trails, and secure data verification
Academic practicals on MongoDB, Apache Cassandra, XML, Multimedia, Temporal, and Graph Database concepts completed during my M.Tech coursework.
Go SDK for Relata DB — sovereign intelligence database by ZySec.AI
Persistent multi-KB daemon for agents — bitemporal facts, Datalog rules, provenance, branches. Built on rayforce2.
Temporal generative art with immutable time-travel. Distroless security, zero-cost deployment. A Clojure/ClojureScript sovereignty demonstration.
Append-only, bitemporal, audit-native analytical database engine — time-travel, provenance, and auditability as first-class. Rust, Postgres-wire compatible.
A modular C++ append-only temporal database built from scratch featuring a custom binary storage engine, schema serialization, immutable versioned records, crash recovery, temporal indexing, snapshots, rollback, time-travel queries, and a SQL-like query engine. Future work includes secondary indexes, log compaction, and semantic vector search.
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