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.
A minimal, readable agent-framework kernel — understand how LangGraph/ADK work under the hood. 1800行代码的 agent 框架内核，理解 LangGraph/ADK 底层的工作原理
Recipes for using Temporal in AI applications
Conductor OSS SDK for Python programming language
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.
Distributed Async Await — Durable Executions, Dead Simple
AI-powered Kubernetes debugging and auto-remediation, orchestrated by Temporal.
Agents you can inspect, replay and trust. An agent framework for TypeScript and Python, built on an append-only event log.
Durable per-application work queue with named queues, fenced leases, and atomic follow-up tasks.
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+
Open-source full-stack AI agent with an embeddable React UI and FastAPI runtime. Self-host with streaming, pause/resume, durable state, and parallel multi-agent subtasks.
Local-first runtime for observable, debuggable AI-agent workflows with slidable autonomy and multi-agent/tool orchestration.
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