The AI Accelerator Company
Nous Research is a leader in the American open source AI movement. We train world-class open source language models and build infrastructure to coordinate distributed, unbiased training. ARTIFICIAL INTELLIGENCE MADE HUMAN
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Industry
information technology & services
Employees
31
Funding Stage
Series A
Total Funding
$50.0M
I built a self-learning loop for Claude Code - it analyzes your sessions and creates/improves skills automatically
After seeing how Hermes Agent from Nous Research implements self-learning, I wanted the same thing for Claude Code. So I built it. What it does: Every 4 hours, a cron job indexes your Claude Code sessions into a searchable SQLite database, then uses Haiku to analyze what happened and extract learnings. It automatically: Creates new skills from workflows you repeat manually Improves existing skills when they fail or miss triggers Saves patterns and feedback as persistent memories Fixes language mismatches (e.g., prompts in one language not matching triggers in another) The cool part: It detects when you did something manually that a skill could have handled, then patches that skill's triggers so it catches it next time. Over time, it gets better at routing your prompts to the right skill. What it doesn't do: No fine-tuning, no external APIs. It's purely "software-level learning" - skills and memories that shape future behavior through Claude Code's native systems. One-line install: curl -fsSL https://raw.githubusercontent.com/lapadatbogdan/claude-learner/main/install.sh | bash GitHub: https://github.com/lapadatbogdan/claude-learner Would love feedback. What other learning signals would be useful to extract? submitted by /u/Financial_Gas_9528 [link] [comments]
View originalNous Research uses a tiered pricing model. Visit their website for current pricing details.
