Functional-style Cloudflare Durable Objects with direct API calls from Cloudflare Workers and TypeScript support.
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Cloudflare Workers client for Sentry
Durable Functions library for Node.js Azure Functions
AWS Durable Execution Language SDK for TypeScript
Next.js plugin for Genkit
- Flexible: Leverage the strenghts of Cloudflare abstractions and let app developers choose right setup for their use case (configurable transports/storage) - Efficient: Let's Durable Objects hibernate when not possible to avoid CPU billing while still st
The leading workflow orchestration platform. Run stateful step functions and AI workflows on serverless, servers, or the edge.
Build real-time applications powered by [Durable Objects](https://developers.cloudflare.com/durable-objects/), inspired by [PartyKit](https://www.partykit.io/).
AWS Durable Execution Testing SDK for TypeScript
TypeScript client for the Durable Streams protocol
Genkit AI framework plugin for Firebase including Firestore trace/state store and deployment helpers for Cloud Functions for Firebase.
A Typescript framework built on the database
SQLite persisted collection core for TanStack DB
Google APIs Client Library for Node.js
LangGraph
Convex component for durably executing workflows.
TypeScript client for the Durable Streams protocol
Utilities for Cloudflare Durable Objects and Workers, including SQL migrations, sharding and retry utilities, and more.
Cloudflare stores and helper functions for hono-rate-limiter.
A Durable Task Javascript SDK compatible with Dapr Workflow and its underlying Durable Task engine
A common tooling library used by the googleapis npm module. You probably don't want to use this directly.
Kysely dialect for Cloudflare Durable Objects
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It is a Ruby client for Zerocracy API, allowing you to check your job statuses, upload and download binaries, lock/unlock them, manage durables, and do everything else that is possible to do via the HTTP API.
Durable-LLM is a unified interface for interacting with multiple Large Language Model APIs, simplifying integration of AI capabilities into Ruby applications.
A comprehensive Ruby implementation of a Knowledge-Based System featuring: • RETE Algorithm: Optimized forward-chaining inference engine with unlinking optimization for high-performance pattern matching • Declarative DSL: Readable, expressive syntax for rule definition with built-in condition helpers • Blackboard Architecture: Multi-agent coordination with message passing and knowledge source registration • Flexible Persistence: SQLite (durable), Redis (fast), and hybrid storage backends with audit trails • Concurrent Execution: Thread-safe auto-inference mode for real-time processing • AI Integration: Native support for LLM integration (Ollama, OpenAI) for hybrid symbolic/neural reasoning • Production Features: Session management, fact history, query API, statistics tracking Perfect for expert systems, trading algorithms, IoT monitoring, portfolio management, and AI-enhanced decision systems.
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