16 skills found
liwala / shealself-healing and self-learning loop for coding agents
uditgoenka / autoresearchClaude Autoresearch Skill — Autonomous goal-directed iteration for Claude Code. Inspired by Karpathy's autoresearch. Modify → Verify → Keep/Discard → Repeat forever.
airmcp-com / mcp-standardsSelf-learning AI standards system - learns from corrections and auto-updates CLAUDE.md
ashishps1 / learn-ai-engineeringLearn AI and LLMs from scratch using free resources
huang-sh / pytorch-fsdpAn open-source, model-agnostic AI workbench for scientific discovery.
WenyuChiou / awesome-agentic-ai-zhA trilingual (繁中 / English / 简中) learning roadmap for agentic AI: from LLM basics to multi-agent systems, with 240+ curated resources and hands-on examples. 中文 AI agent 學習地圖。
alsoleg89 / ai-knotDeterministic, self-hosted long-term memory for AI agents: store facts instead of transcripts, recall only what matters.
LycheeMem / LycheeMemLightweight Long-Term Memory for LLM Agents.
MemTensor / MemOSSelf-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings
Upsonic / UpsonicBuild autonomous AI agents in Python.
vllm-project / semantic-routerA programmable Mixture-of-Models router for heterogeneous LLM inference
keshrath / agent-knowledgeCross-session memory and recall for AI agents — git-synced knowledge base, hybrid semantic+TF-IDF search, auto-distillation with secrets scrubbing
Nillkabbo / ai-learning-guide-with-projectsThis chapter teaches domain-specific prompting - embedding industry knowledge, terminology, and workflows into prompts. Students learn to create expert personas and build specialized AI systems for specific domains.
remete618 / widemem-aiNext-gen AI memory layer with importance scoring, temporal decay, hierarchical memory, and YMYL prioritization
massimodeluisa / recursive-decomposition-skillClaude Code skill for handling long-context tasks through recursive decomposition
latentfidelity / parPersistent Agent Runtime — self-hosted cognitive runtime for AI coding agents: semantic memory, knowledge graph, agent coordination, event-driven workflows, and autonomous self-maintenance via MCP
