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AI · January 30, 2026

SuperQode

I built SpecMem after noticing how fragmented the agentic coding ecosystem has become. Each coding agent uses its own spec format, context resets frequently and switching tools means rebuilding everything from scratch. SpecMem provides a unified, agent-agnostic memory layer for coding agents. It reads specs from Kiro, GitHub SpecKit, Tessl, Cursor, Claude Code, Codex and others, then builds a semantic memory using LanceDB, ChromaDB etc. It also includes impact analysis, drift detection, selective testing and a web dashboard. GitHub:…

SuperQode launched on January 30, 2026 with 6 votes, #2,272 of 14,584 launches that month and more than 75% of that year's launches.

What it does

SuperQode is a terminal UI for interactive, agent‑driven QA. SuperQE is the automation CLI for CI and deep evaluation runs. Let agents test agents, capture evidence, and ship with confidence.

The Harness Hub where coding harnesses are discovered, built, inspected, run, evaluated, and optimized through one rich, browsable terminal experience.

Find a coding harness, shape it to your repository, run it, and measure whether it actually did better. All from one terminal. Keep the coding agent you already pay for. SuperQode is the layer around it. Install, the Harness Hub, the A2A agent and the docs all live on superqode.dev . One session: connect an agent, browse the Harness Hub, and call the A2A agent from the same terminal. Configuration, context, tools, policies, and evaluation live in a HarnessSpec versioned with your code. Maintain context, memory, tools, workflows, policies, and evaluation criteria in a versioned HarnessSpec. Use Codex, Claude, Copilot, Grok, OpenCode, local models, and compatible ACP agents with the same…from super-agentic.ai

In the maker’s words, at launch

We are launching SuperQode and SuperQE to redefine Quality Engineering for Agentic Coding teams. SuperQode is an open‑source terminal UI for interactive, agent‑driven quality engineering. SuperQE is the CLI for automation and CI. The goal is simple: let agents test agents, capture evidence, and keep humans in…

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