bi-temporal

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

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

Zero-infrastructure, local-first memory for AI agents. One SQLite file — no Postgres, Neo4j, or cloud. Bi-temporal supersession (updates, never deletes), four-channel hybrid retrieval, and a drop-in MCP server. Runs offline on cheap models. Apache-2.0. Bring your own benchmark.

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

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

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

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.

Bi-temporal agent long-term memory: SQLite-backed MCP server with recall ranking, hybrid vector+FTS recall, and a source-staleness signal

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.

VERA is a shared, governed memory platform for AI agents, providing trusted, temporal knowledge across teams through MCP, with Graphiti as the underlying memory engine.

A benchmark for long-horizon organizational memory in AI agents: a synthetic, bi-temporal, multi-author/multi-channel corpus with a evaluation harness over publicly available memory systems.

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).

给 DSH 里的 AI 一层自己的判断记忆。判断节点 + 确定性取代（supersede）+ 双时态账本 + 双链，规则与人格分开治理，图谱作可解释性界面。 - Persistent judgment memory & self-evolving personality for AI agents (bi-temporal ledger, deterministic supersession, knowledge graph).

GapTime: bi-temporal knowledge-graph memory for production agents. Every fact carries valid time and transaction time, so you time-travel to what was known at any instant, supersede outdated facts without losing history, and detect contradictions. Zero dependencies, TypeScript, edge-ready.

Deterministic agent memory. μ=0. Free, local, forever. Mem0-compatible.

Local-first memory for Claude Code and any MCP client: hybrid search + knowledge graph in one SQLite file, $0/token, no cloud.

Cross-client AI memory hub — one physical SQLite, many clients. File-level pointers, REST API, Web Dashboard, MCP. Zero cloud. Dual-timeline governance. PyPI: memtether

Graph-primary, bi-temporal, hybrid-retrieval knowledge base — the shared 'company brain' for a fleet of AI agents.