A Show HN post introduces FrontierHarness, an evaluation testing 9 agent harnesses (including Claude Code, Codex, Pi, Exo, and DeepSeek Harness) on 30 tasks with the same model. Pass rates ranged from 50% to 67% while cost per pass varied 17x, showing harness choice now rivals model choice in driving agent performance and economics.
Follow-up HN discussion notes Claude Code cost 5.6x as much for the same pass rate as cheaper harnesses.
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.
Multiplex is an open-source terminal app for visionOS and iPadOS that provides a multi-window SSH/tmux experience with first-class tmux integration, each session in its own window. It includes an Agent key bar, file viewer, and browser to support using Claude Code, Codex, and Pi for code review, and recently added support for herdr sessions. It solves the problem of needing a mobile terminal with robust tmux support and AI coding tool integration.
Multiplex is an open-source terminal app for visionOS and iPadOS that provides a multi-window SSH/tmux experience with first-class tmux integration, each session in its own window. It includes an Agent key bar, file viewer, and browser to support using Claude Code, Codex, and Pi for code review, and recently added support for herdr sessions. It solves the problem of needing a mobile terminal with robust tmux support and AI coding tool integration.
A new Agent Skills skill, dsh-plugin-dev-skills, codifies the conventions for developing DeepSeek Harness (DSH) plugins into an executable standard. It works across Claude Code, Codex, DSH, VS Code Copilot, and any compatible agent, consolidating official documentation into a single skill.
A new Agent Skills skill, dsh-plugin-dev-skills, codifies the conventions for developing DeepSeek Harness (DSH) plugins into an executable standard. It works across Claude Code, Codex, DSH, VS Code Copilot, and any compatible agent, consolidating official documentation into a single skill.
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.
Ormah shares long-term memory across AI coding agents like Claude Code, Codex and Pi, injecting relevant context before each agent response. It stores memory locally as readable Markdown, links related memories, merges duplicates, and expires stale ones. It solves re-explaining preferences and decisions to each new agent, for developers using multiple AI agents.
Ormah shares long-term memory across AI coding agents like Claude Code, Codex and Pi, injecting relevant context before each agent response. It stores memory locally as readable Markdown, links related memories, merges duplicates, and expires stale ones. It solves re-explaining preferences and decisions to each new agent, for developers using multiple AI agents.