394 tagged continual-learning, measured the same way as everything else here.
Browse within: automatic 200benchmark 200skill-generation 200self-evolving 158experience-driven-lifelong-learning 144Autonomous Agents 57agent-framework 57agent-memory 28letta 28公众号 17agents 16llm-agents 16recursive-self-improvement 16self-improving 16
Skill Claude CodeCodex
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Letta Code's capabilities with specialized knowledge, workflows, or tool integrations.
Skill Claude Code
Optimize an AI agent's harness for MCP-Atlas benchmark. Use when analyzing execution traces, diagnosing failures, and proposing improved prompts, skills, or harness code.
Skill Claude CodeCodex
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
Skill Claude CodeCodex
Stash is your personal home for agent work. Everything you create is scoped to your account — it is yours alone, with nothing to pick or set up first. Your Stash has three primary surfaces.
Skill Claude CodeCodex
Fuzzy matching techniques for finding hedge funds by name when exact names are unknown.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: