EasyAI / Open source
One project, one complete learning path: discover the idea, run it safely, inspect the architecture and code, then decide what to build next.
A complete, source-backed academic-research-skills series covering overview, quickstart, deployment, architecture, code, performance, security, comparison, and future practice.
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A complete, source-backed caveman series covering overview, quickstart, deployment, architecture, code, performance, security, comparison, and future practice.
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A complete, source-backed magnitude series covering overview, quickstart, deployment, architecture, code, performance, security, comparison, and future practice.
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Nine source-grounded lessons on skill distribution, invocation design, project setup, version maintenance and safe evaluation. Complete multilingual revision with retained URLs.
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A complete, source-backed hermes-agent series covering overview, quickstart, deployment, architecture, code, performance, security, comparison, and future practice.
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A complete, source-backed superpowers series covering overview, quickstart, deployment, architecture, code, performance, security, comparison, and future practice.
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An authorization-first series on routing repeatable security research workflows for AI agents.
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A practical series on skills, hooks, memory, and security for AI coding agents.
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A source-backed Checkstyle series about Java policy, checks, and CI integration.
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A focused series on open-source SEO workflows, MCP, self-hosting, and provider costs.
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A hands-on series on PDF classification, layout extraction, and selective OCR.
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A practical series on turning technical material and patent ideas into traceable disclosures and knowledge bases.
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