The developers released OpenTag, an open-source AI coworker for Slack that delegates background tasks to agents running on users' own machines and existing coding-agent subscriptions. It targets frustration with closed-source, cloud-hosted, per-seat AI coworker tools that double-bill inference. The project is pre-alpha, self-hostable, and seeking community feedback.
OpenTag is an open source AI coworker that lives in Slack. You delegate tasks in a channel; it completes them in the background using the LLM subscription already on your machine, then replies in the thread. It targets teams paying twice for inference—once via a coding agent, again via per-seat AI SaaS.
OpenTag is an open source AI coworker that lives in Slack. You delegate tasks in a channel; it completes them in the background using the LLM subscription already on your machine, then replies in the thread. It targets teams paying twice for inference—once via a coding agent, again via per-seat AI SaaS.
Oqoqo is a platform for creating realistic evals and custom benchmarks for real-world tasks, measuring how agent-friendly product surfaces are against various AI coding agents. It helps developers regression test MCP, CLI, skills, SDK, and other agent-facing interfaces, and allows creating and sharing custom benchmarks.
Oqoqo is a platform for creating realistic evals and custom benchmarks for real-world tasks, measuring how agent-friendly product surfaces are against various AI coding agents. It helps developers regression test MCP, CLI, skills, SDK, and other agent-facing interfaces, and allows creating and sharing custom benchmarks.
A lightweight AI agent designed for local LLM inference, prioritizing fast prompt processing over cloud-optimized features. It solves the problem of slow context compression and startup times when using local models, targeting users who prefer privacy and speed.
A lightweight AI agent designed for local LLM inference, prioritizing fast prompt processing over cloud-optimized features. It solves the problem of slow context compression and startup times when using local models, targeting users who prefer privacy and speed.
A developer with ~30 years of software experience and over a year of daily coding-agent use opened an AMA on practical agent workflows. He covers running agents in parallel, review, testing, and error handling. The thread offers practitioners a chance to query hands-on experience with tools like Claude Code, Codex, and Droid.
A developer with ~30 years of software experience and over a year of daily coding-agent use opened an AMA on practical agent workflows. He covers running agents in parallel, review, testing, and error handling. The thread offers practitioners a chance to query hands-on experience with tools like Claude Code, Codex, and Droid.
CodePress is a cloud service for running coding agents triggered from surfaces like GitHub or Slack. Agents run the Claude Code or Codex CLI under the hood, so they use existing subscription plans instead of metered API inference, cutting costs for teams running many agents concurrently.
CodePress is a cloud service for running coding agents triggered from surfaces like GitHub or Slack. Agents run the Claude Code or Codex CLI under the hood, so they use existing subscription plans instead of metered API inference, cutting costs for teams running many agents concurrently.