Database-Backed Durable Python Workflows
Temporal Python SDK
Agent traces you can run, not just read.
Python SDK for Inngest: Durable functions and workflows in Python, hosted anywhere
Engineering deterministic, production-grade systems around non-deterministic LLMs — FSM, durable execution, retries, DAGs, agent runtimes, model routing, edge inference, RAG, memory, multi-agent orchestration, security, and observability. 14 runnable proof-of-concept phases.
Conductor OSS SDK for Python programming language
Recipes for using Temporal in AI applications
A collection of Restate examples for AI use cases: agents, A2A, MCP, ...
A library/CLI for running Agentic Slack bots with durable execution and bounded concurrency.
AI-powered Kubernetes debugging and auto-remediation, orchestrated by Temporal.
Distributed Async Await — Durable Executions, Dead Simple
CONTINUUM: Verifiable semantic recovery for long-running AI agents. Semantic checkpoints (not conversation dumps), an idempotent action ledger that refuses duplicate side effects, and a hash-chained tamper-evident event log, all exposed as a deny-by-default MCP server. Framework-agnostic, Python 3.11+.
Hands-on Workshop on Building AI Agents with Strands, MCP, and Temporal
Local-first runtime for observable, debuggable AI-agent workflows with slidable autonomy and multi-agent/tool orchestration.
Write-Audit-Publish on the lakehouse in pure Python with bauplan and DBOS
Policy-gated, durable, audited execution for AI agent tool calls. Every action gets a five-verdict policy check, a crash-safe checkpoint, and a tamper-evident audit event — a library, not a server.
AWS Lambda durable functions technical documentation
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