This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
WorkspaceGuard
Usage caps for shared self-hosted AI assistants
WorkspaceGuard adds precise usage controls to self-hosted AI assistants without replacing existing infrastructure. Its MIT-licensed npm/pip sidecar brings per-workspace message metering and fail-closed monthly quota caps to Odysseus and compatible backends. It solves a specific gap: adding usage visibility and hard limits to platforms handling user isolation. Designed for integration, it includes a CLI and library with agent-native --json output, acting as a lean gateway for existing setups.
We built this MIT-licensed npm/pip sidecar after discovering a specific architectural gap in self-hosted AI assistants like Odysseus. While these platforms do an excellent job of isolating chat history and API keys per user, they completely lack usage visibility and hard limits. We wanted to bring precise usage controls to these platforms without forcing developers to replace their existing infrastructure with heavy LLM gateways.
We initially focused just on basic message metering. However, we quickly realized that to be truly useful for developers, the tool needed to integrate seamlessly into automated workflows. We evolved the project into a lean sidecar that includes both a CLI and a library with agent-native --json output. This shift allowed us to provide fail-closed monthly quota caps that work directly alongside the infrastructure you already run.
Repo: https://github.com/RudrenduPaul/...
MCP Servers:
https://mcpservers.org/servers/r...https://glama.ai/mcp/servers/Rud...
NPM: https://www.npmjs.com/package/wo...
PyPI: https://pypi.org/project/workspa...
We would love to hear your feedback and are happy to answer any questions!
About WorkspaceGuard on Product Hunt
“Usage caps for shared self-hosted AI assistants”
WorkspaceGuard was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #154 on the daily leaderboard. WorkspaceGuard adds precise usage controls to self-hosted AI assistants without replacing existing infrastructure. Its MIT-licensed npm/pip sidecar brings per-workspace message metering and fail-closed monthly quota caps to Odysseus and compatible backends. It solves a specific gap: adding usage visibility and hard limits to platforms handling user isolation. Designed for integration, it includes a CLI and library with agent-native --json output, acting as a lean gateway for existing setups.
On the analytics side, WorkspaceGuard competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how WorkspaceGuard performed against the three products that launched closest to it on the same day.
Who hunted WorkspaceGuard?
WorkspaceGuard was hunted by Sourav Nandy. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of WorkspaceGuard including community comment highlights and product details, visit the product overview.
Sourav Nandy