Built a local-first workflow automation platform around Ollama - now at v0.11.0

I've been working on an open-source workflow automation platform over the past few months, with Ollama as one of the first-class providers rather than treating it as an afterthought. The goal wasn't to build another chat UI, but a deterministic workflow engine where local models can power automation pipelines. Some of the things it supports now: Local LLM execution with Ollama Agent semantic memory (using local embeddings like nomic-embed-text) Document RAG Visual workflow builder Conditional branching and graph-based execution Human-in-the-loop approval nodes Multi-agent (A2A) workflows Browser, HTTP, Email, File and MCP tools Step replay, retries and execution history One thing I wanted from the beginning was to avoid vendor lock-in, so the execution engine treats providers as adapters. A workflow can run entirely on Ollama, or mix local models with cloud providers if needed. The latest v0.11.0 release also adds a lot of improvements around workflow execution, observability, dashboarding, retrieval, and multi-agent orchestration. I'd love feedback from people here who run Ollama locally: Is there anything missing that you'd expect from a local-first automation platform? Any features that would make Ollama fit even better into workflow-based systems? Happy to answer any implementation questions. submitted by /u/Feathered-Beast [link] [comments]

Related

• I just wanted a small WebUI with an admin panel… it escalated into a full open-source agent framework runs fully local with Ollama
• Building a local-first AI app on top of Ollama — focusing on usability + offline workflow (would love feedback)
• I built a desktop agent for Ollama — reads files, runs commands behind permission gates, vision + image gen, all local (MIT, open source)

Source: r/ollama | 2026-07-27