Finyuus is a code-first platform for building, running, and governing AI workflows. It introduces a small indentation-based DSL for composing agents, tools, guards, human approvals, and nested workflows — then runs them on Temporal with retries, cancellation, and replayability. Unlike visual builders, workflows are stored as text for Git-based review and diffs. Unlike prompt chains, every run is durable, versioned, observable via Langfuse, and governable through guards and human approvals.
Mnexium gives AI apps one shared memory layer across models and agents. Add persistent memory, chat history, user profiles, records, and live context with one API. Built for OpenAI, Anthropic, Gemini, and agent workflows, without managing vector DBs, sync jobs, or custom memory pipelines.
Mnexium Integrations feel like one of the most important parts of the platform because they solve a different problem than memory. It also outlines the completion of the feature-set for the platform. I don't think any more features will offer any more utility.
Memory helps an assistant remember durable user context over time. Integrations let it work with live operational data from external systems right when a response is being generated.
Mnexium AIPersistent, structured memory for AI Agents
Mnexium AI
