Visual workflow builder 3

Enterprise AI workflow automation with compliance, integrations, and API or MCP deployment Jinba is an AI workflow automation platform for building, testing, and deploying enterprise workflows. Jinba Flow lets teams create workflows through natural language, YAML, or a visual editor, while Jinba App provides a controlled environment for executing deployed workflows. Workflows can be deployed as APIs or MCP servers and integrated with business tools, internal systems, private models, and enterprise data. Jinba is designed for regulated industries and includes SOC 2 compliance, encryption, SSO, role-based access control, audit logging, on-premises deployment, private cloud hosting, and dedicated engineering support.

Open-source workspace for building, deploying, and monitoring AI agents Sim is an open-source AI workspace for building, deploying, and managing AI agents. It enables teams to connect agents to more than 1,000 integrations and major large language models, then create workflows visually, conversationally, or with code. Sim provides tools for agent memory through knowledge bases, files, and tables, along with workflow execution, monitoring, logs, tracing, and cost visibility. It is designed for automating operational work across sales, engineering, IT, compliance, finance, and HR, with enterprise capabilities including SOC2 compliance, access control, SSO, self-hosting, and dedicated support on eligible plans.

AI agent for automating data and business workflows. Kadabra is an AI agent designed to automate data and business workflows. Users describe their desired outcome in plain text, and Kadabra designs, tests, and runs the workflow, either on a schedule or by trigger. It integrates with various popular tools such as Slack, Notion, Sheets, Gmail, and webhooks. Kadabra aims to help growth, ops, marketing, sales, and product teams increase their output and ship real automations in minutes without needing more headcount.