This demo shows a multi-turn conversation with an AI agent running inside a Temporal workflow.

Optimizing Dynamic Knowledge Base Using AI Agent

Structured, temporal memory for AI agents.

Durable Execution for AI Agents built with Strands Agents and Temporal

It is a simple, fast, and hard-durable embedded database designed specifically for AI agent memory. It provides a single-file-like experience (no server required) but with native support for vectors, graphs, and temporal search.

An example showing how to do different kinds of AI agents with Temporal in an order repair context

Rust AI agent where every context token earns its place. Self-learning skills, temporal graph memory, cascade quality routing, OWASP AI security. Hybrid inference: Ollama · Claude · Gemini · OpenAI · GGUF. MCP + ACP. One binary.

Hands-on Workshop on Building AI Agents with Strands, MCP, and Temporal

GraphZep: A temporal knowledge graph memory system for AI agents in Typescript based on the Zep paper

Papers about agentic AI and AI agents for spatio-temporal data.

Shared team memory for AI coding agents. Bayesian confidence scoring with temporal decay. Works with Claude Code, Devin, Cursor, and any MCP-compatible client.

A Lightweight open-source toolkit that extends the existing NEAR Lake Framework to support easy deployment of sharded archival nodes + built-in real-time query optimizer tailored for AI agent patterns (event filtering, temporal indexing, cross-shard queries).

Code repository for the tutorial "How to Build an Agentic AI with Temporal

A Git intelligence MCP server built with Node.js and TypeScript that analyzes local Git repositories to surface insights like hotspots, churn, temporal coupling, knowledge maps, and risk scoring. Designed for AI agents, it exposes repository analytics tools through the Model Context Protocol (MCP) while keeping all data local and read-only.

An opinionated AI agent implementation for Temporal

Caudal is a temporal relevance memory for AI agents. It tells an agent what matters right now

LLM-agnostic memory layer for AI agents. No embeddings, no vector DB — just fast, structured, temporal memory that any LLM can consume as plain text.

AI Agent Fleet Memory System — Qdrant + Mem0 + Neo4j/Graphiti. Composite scoring, compaction engine, temporal knowledge graph, multi-claw federation, sleep-time reflection, MCP server.

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An AI-powered transaction processing system that replaces traditional manual review workflows with intelligent automation using MongoDB Atlas, Temporal, and Anthropic Claude / OpenAI.

Exoclaw agents on Temporal — durable AI agent execution

A robust MCP server that eliminates temporal blindness in AI coding agents through intelligent time tracking, persistent memory, and complete session traceability

AI-powered real-time vision agent that transforms live video into structured intelligence — combining temporal memory, contextual reasoning, and instant reactive streaming.

Implement multi-agent AI pipelines to generate historical scenes from natural language queries: extract temporal coordinates, build character profiles, synthesize dialog, map relationships, and render photoreal images via 15 specialized agents.

AI-native distributed database for agent memory and real-time state. Unifies KV, vector search, and temporal graph in a single Rust engine with Raft consensus

Template repository for migrating Netflix Conductor workflows to Temporal Python SDK using AI coding agents

Wake Intelligence MCP Server - Temporal intelligence for AI agents with 3-layer brain architecture (Past/Present/Future)

A Model Context Protocol (MCP) server that provides AI agents with comprehensive temporal awareness and time calculation capabilities.

This demo shows a multi-turn conversation with an AI agent running inside a Temporal workflow with OpenBox.

Production-ready template for AI agent workflows with Hermes Agent, Temporal durable orchestration, and human-in-the-loop review. Ships with an exam grading demo.