A curated list to help you manage temporal data across many modalities 🚀.

An open-source, opinionated time-series database built on PostgreSQL & ClickHouse.

A comprehensive addon tool for managing data grid environments by distributed workspaces and online use case bundles

Python SDK for LUSID by FINBOURNE, a bi-temporal investment management data platform with portfolio accounting capabilities.

A lightweight Pythonic data model for time series data, interoperable with NumPy, Pandas and Polars.

Hyperlocal disaster damage assessment using bi-temporal street-view imagery and pre-trained vision models https://doi.org/10.1016/j.compenvurbsys.2025.102335

Java SDK for LUSID by FINBOURNE, a bi-temporal investment management data platform with portfolio accounting capabilities.

Perfect memory. Exact reasoning. Complete history for AI agents.

An experimental distributed database built in Rust. It uniquely combines Vector Similarity Search (for AI applications) with Bi-Temporal Data Management (Time Travel) and Distributed Consensus (Raft).

A cognitive substrate for AI agents — hyperdimensional memory with first-class goals, beliefs, sensory, self-model, and a non-destructive unlearn primitive. Rust top to bottom, embedded-first, no LLM in the read path. One binary, no query language.

XTDB bi-temporal player state store for football analytics

JavaScript SDK for LUSID by FINBOURNE, a bi-temporal investment management data platform with portfolio accounting capabilities.

Local MCP memory server for LLMs. Bi-temporal graph + vector + Cypher queries + auto-write/auto-recall hooks for Claude Code. Works with Ollama, LM Studio, Anthropic, OpenAI.

engramx's bi-temporal mistakes + structural code-graph as auto-discoverable Claude Code Skills. Catches recurring mistakes before agents repeat them. Apache 2.0, local SQLite, zero cloud.

FloodSense is a deep learning framework for flood detection using bi-temporal Sentinel-1 SAR imagery. It compares pre-event and post-event satellite images to identify flooded areas, supporting multiple datasets (Sen1Floods11, S1GFloods, OmbriaS1)