deepseek-ai/deepseek-harness
DeepSeek Harness (dsh) is an open-source agent harness from DeepSeek AI built on an everything-is-a-plugin architecture over the Cordis framework, started from npm with a local web UI.
Awesome AI Agents › AI Developer Tools
0xCrunchyy/10x
10x is an MIT-licensed command line coding assistant distributed as the npm package 10x-cli. Its central idea is smart model routing: instead of sending every request to one model, it picks the fastest model that can handle a given step. Three tiers are documented, a superfast tier using GPT OSS 20B for simple queries and explanations, a fast tier using Kimi K2 for code generation and refactoring, and a smart tier using Claude Opus for complex reasoning and architecture work. On top of routing sit superpowers, multi-step workflows in which each step can declare its own model tier so a cheap model gathers context and an expensive model performs the hard reasoning. Six built-in superpowers ship as slash commands: review runs a code review covering security, performance and style, pr generates a pull request description from staged or committed changes, refactor guides an analysis and implementation pass over a file, debug walks through reproducing, analysing and fixing an issue, explain produces a deep explanation of code architecture, and test generates a test suite for a file. Custom superpowers are plain markdown files placed in .10x/superpowers in the project or in the user configuration directory, with YAML frontmatter naming the workflow and its trigger and numbered sections that declare a model tier and interpolate the original input or the previous step output. Simpler single-prompt skills can be added the same way under .10x/skills and invoked by name. Project context is supplied through a 10X.md file at the repository root describing the stack and conventions. The CLI can start an interactive session, run a single prompt and exit, resume a named session, pin a model tier, or use an OpenRouter key supplied by the user for direct cost control.
https://github.com/0xCrunchyy/10x
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