
ClawMaven — The Governance Intelligence Layer for AI Agents
Design, validate, and compare AI agent deployments with governance controls.
@paulrodturner · X
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Tech stack
60 projects

Design, validate, and compare AI agent deployments with governance controls.
@paulrodturner · X

Keeps teams and coding agents aligned on task plans and dependencies.
mrsuit · HN
Piyaz – keep your team and agents aligned as software projects grow

Workspace where AI agents debate options to help you decide, plan, and generate documents.
@getazrivo · X
Building - an AI assistant that doesn't just chat, it ships. Plan Mode maps out multi-step builds and produces real artifacts: live web pages, documents, spreadsheets, slide decks. It can also assemble a curated team of specialists to debate decisions.

Workspace to publish and manage HTML and Markdown artifacts from any AI agent with version history.
@slashdisplay · X
One feature, two agents, one URL. Carl published v1 from Codex. Claude Code iterated to the version that shipped – every hand-off attributed in the audit log. A 3-minute walkthrough of a real workflow:

Deploy AI-built tools as private team apps with authentication and permissions.
iamavalex · HN
Artifacted – private URLs for the small tools your AI builds

Build AI agents by answering questions and export them to Claude Code.
@manu_jsx · X
Built a coding agent for my repo in under a minute. No prompt engineering. No made-up skill names. Just answered 4 questions and exported to Claude Code.

Schedule and manage AI agent tasks directly from Google Calendar.
matt413 · HN
Schedule tasks for your AI agents from Google Calendar

Map software architecture, dependencies, and ownership to help teams and AI agents understand systems.
u/keiloktql · Reddit
i built a living architecture map after redrawing the same stack for every project heya, i'm a design engineer at 8starlabs. i just launched canopy. i kept redrawing architecture diagrams for hackathons, work, group projects, and side projects. they were useful at first, but quickly became outdated. canopy turns your stack into a living map. you can import a github repo, see services and dependencies, track costs and ownership, publish maps, and export context for ai coding tools. try i

Collaborate with multiple AI coding agents in a shared visual workspace.
austinvhuang · HN
Collaborate.dev – Multiplayer Visual Desktop for Coding Agents

Assign fixed-process work to a team of agents that plans, builds, and reviews it autonomously.
@supezen · X
😂我做了一个截然相反的产品,把「过程」留给 AI,把「结果」留给自己

Debug and trace multi-agent AI pipelines with time-travel inspection.
suraj_chopade · Product Hunt
SwarmTrace Time-travel debugger for multi-agent AI pipelines

Share team knowledge with AI agents across Claude, Copilot, and other tools via MCP.
mat10112 · HN
Memsprout – share your AI context with teammates