19 skills found
remete618 / widemem-aiNext-gen AI memory layer with importance scoring, temporal decay, hierarchical memory, and YMYL prioritization
huang-sh / pytorch-fsdpAn open-source, model-agnostic AI workbench for scientific discovery.
vllm-project / semantic-routerA programmable Mixture-of-Models router for heterogeneous LLM inference
liwala / shealself-healing and self-learning loop for coding agents
patakuti / local-knowledge-rag-mcpA semantic search and retrieval system for local documents using vector embeddings. Powered by MCP (Model Context Protocol).
massimodeluisa / recursive-decomposition-skillClaude Code skill for handling long-context tasks through recursive decomposition
ncmonx / icemageToken-efficient context engine for AI coding agents. v2.21.0: brain+token trio — session-aware recall delta, contradiction sentinel, adaptive recall depth. 2416 tests, 42 MCP tools, Elastic-2.0.
LycheeMem / LycheeMemLightweight Long-Term Memory for LLM Agents.
loganionian / 0gmemLong-term conversational memory system for AI agents — cell-based architecture with hybrid BM25 + semantic retrieval. 96% accuracy on LoCoMo benchmark.
majiayu000 / llm-pipelinePydantic-AI agents, RAG, embeddings for Pulse Radar knowledge extraction.
datawhalechina / easy-vibe💻 The first course for AI-native product builders.
alsoleg89 / ai-knotDeterministic, self-hosted long-term memory for AI agents: store facts instead of transcripts, recall only what matters.
ashishps1 / learn-ai-engineeringLearn AI and LLMs from scratch using free resources
keshrath / agent-knowledgeCross-session memory and recall for AI agents — git-synced knowledge base, hybrid semantic+TF-IDF search, auto-distillation with secrets scrubbing
PDgit12 / knitbrainThe local-first brain for coding agents: project memory + workflow intelligence + lossless ~50% context savings. MCP server + LLM proxy, zero cloud.
rohitg00 / ai-engineering-from-scratchLearn it. Build it. Ship it for others.
majiayu000 / agent-sona-learning-optimizerAgent skill for sona-learning-optimizer - invoke with $agent-sona-learning-optimizer
carloluisito / mindkeg-mcpA persistent memory MCP server for AI coding agents — stores, searches, and retrieves atomic learnings so agents retain knowledge across sessions.
NewJerseyStyle / plugin-mctsLarge language models as commonsense world model and heuristic policy within Monte-Carlo Tree Search, enabling better-reasoned decision-making for daily task planning problems in Claude Code.
