Some are public, some are being prepared for release, and some stay internal. Every one of them runs.
An AI-first kanban over MCP: an augmenting proxy over any backend, a fixed flow agents cannot wander out of, and every rule set from the session.
PublicPrompt-injection defense for agents: an evaluation rig, a red-team arena, and a live screen in front of tool calls.
In developmentA self-hosted, OpenAI-compatible inference gateway over local engines, an image worker and cloud providers.
Preparing releaseNarrow, budgeted MCP servers that connect agents to the systems around them.
InternalA platform for agents: composable blocks, a composer, emitters into runtime config, and hosted instances.
InternalA modular personal assistant: one MCP server, modules behind a typed contract, a core that owns persona, memory and consent.
InternalA knowledge base built for AI consumers, with a gate that refuses what it cannot trust.
InternalSpeaker-labelled transcripts and digests from meetings, fully on our own hardware.
InternalOne local mirror of GitLab merge requests and Jira tickets for every agent: tracked on demand, whitelisted, with a cursored change feed and a scanner at the door.
InternalWe use Google Analytics to count visits. Nothing else is stored.