Search Results for "rest api testing"

...The project also includes hooks, an API, import and export support, audit trails, and team sharing workflows. Overall, agentmemory is designed to make AI coding assistants more continuous, context-aware, and useful across long-running software projects.

Activepieces is an open-source automation tool designed to build workflows that connect different apps and services without requiring extensive programming knowledge. It’s tailored for technical and non-technical users alike, enabling teams to automate repetitive tasks using a visual editor and a large library of pre-built connectors. Activepieces can be self-hosted or used via a cloud deployment, making it flexible for teams of all sizes. It supports integrations with popular services like...

...Connect to your data with our connectors: databases (PostgresQL, MongoDB, Amazon S3, and many more), SaaS providers (like Google Sheets, Airtable, Twilio) or any GraphQL/REST API. Connect the data to the UI by configuring the components. Where needed, you can use the Javascript IDE to create more advanced features and data transformations - the sky is the limit! Deploy your app on our free, cloud-hosted version or to any platform of your choice - Docker, Kubernetes, AWS, DigitalOcean, Heroku, and more.

Suna is an open-source generalist AI agent developed by Kortix AI. Designed to assist users in accomplishing real-world tasks through natural conversation, Suna combines powerful capabilities with an intuitive interface. It serves as a digital companion for research, data analysis, and everyday challenges, integrating tools like browser automation, file management, web crawling, command-line execution, website deployment, and API integration. Suna's architecture comprises a FastAPI-based...

...The flagship product Strata solves tool overload through progressive discovery, achieving +13% higher accuracy and 83%+ success on complex workflows. Developers can integrate via Python/TypeScript SDKs or REST API, with support for OpenAI, Claude, Gemini, LangChain, LlamaIndex, and CrewAI. Features include built-in authentication, multi-tenancy, hosted servers, Docker support, and enterprise security guardrails. Licensed under Apache 2.0, Klavis simplifies AI development by eliminating complex authentication management and enabling seamless workflow automation across multiple applications.

...It automates server provisioning, DNS configuration, SSL certificates, and firewall setup, so developers can focus on running their AI workloads rather than configuring infrastructure manually. The platform includes a user-friendly web dashboard and REST API that let users select regions, manage servers, and configure SSH keys with minimal friction. ClawHost supports automatic domain and subdomain management through Cloudflare integration and uses services like Hetzner for cloud provisioning, making it scalable across geographies. With built-in billing support via integrations like Polar.sh, users can manage subscriptions and invoicing directly from the platform, enabling it to serve both personal projects and small business use cases.

Gradient Bang is an experimental open-source project developed within the Pipecat ecosystem that reimagines AI interaction as a persistent, multiplayer simulation where users and large language models coexist inside a shared virtual environment. Rather than functioning as a traditional application or API, it is conceptualized as an “online multiplayer universe” in which participants can explore, trade, battle, and collaborate while interacting with AI agents as active entities within the system. The project serves both as a prototype and a conceptual playground for testing how conversational AI systems behave when embedded into dynamic, game-like environments rather than static chat interfaces. ...

Leon is an open-source personal AI assistant platform that lets users run a conversational agent locally or on their own servers, providing an alternative to cloud-hosted assistants with a focus on privacy, extensibility, and modular components. It’s designed to process natural language queries and perform tasks such as information retrieval, task automation, scheduling, and custom workflows defined by the user. The architecture emphasizes modularity: you can plug in different language...