WeaveMind – AI Workflows with human-in-the-loop
Hi! I spent 3 years evaluating LLMs for OpenAI, Anthropic, METR, and other labs. Kept running into the same problem: AI workflows break in production because there's no clean way to add human oversight, handle failures gracefully, or deploy without choosing between "all cloud" and "all self-hosted." WeaveMind is a visual workflow builder in Rust. The core idea is that humans and AI are interchangeable nodes in the same graph. When a workflow needs judgment, it pauses, notifies the team via browser extension, first responder picks it up. There's also an AI assistant that generates workflows…
WeaveMind – AI Workflows with human-in-the-loop launched on February 8, 2026 with 15 votes, #835 of 16,628 launches that month and more than 90% of that year's launches.
In plain words
WeaveMind is a visual workflow builder that treats humans and AI as interchangeable nodes in automated processes. Built in Rust, it lets teams add human oversight to AI workflows by pausing execution and notifying reviewers through a browser extension when judgment is needed. The platform handles failures gracefully and offers flexible deployment options between cloud and self-hosted setups. It includes an AI assistant for generating workflows from natural language descriptions and durable execution to prevent data loss. Currently in beta and free for users bringing their own API keys.
written from the facts on this page · September 2026
From the sources
Stop building AI agents. Orchestrate them. Weft is a programming language an AI writes for you and you read as a graph: as flexible as an agent, as reliable as code.
What you can try today is a proof of concept. The MVP is on its way to global release No spam. Occasional updates on what I ship and what is coming. Our AI (Tangle) wrote the code, the graph is for you: one program, two views, always in sync. Tangle with Weft vs Claude Code with Python. Same prompt, same model A graph you can read, in plain language. No terminal, no code to debug Still going. Commands, files, an error to read. You can't tell where it is. Proof-of-concept recording, Sonnet 4.6 era. We'll re-record when the MVP is out. An agent makes one model do the whole job in one context . Break it into scoped steps , the right computation at each one, and you win four ways An agent is…from weavemind.ai
In the maker’s words, at launch
Hi! I spent 3 years evaluating LLMs for OpenAI, Anthropic, METR, and other labs. Kept running into the same problem: AI workflows break in production because there's no clean way to add human oversight, handle failures gracefully, or deploy without choosing between "all cloud" and "all self-hosted." WeaveMind is a…
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