19 skills found
Upsonic / UpsonicBuild autonomous AI agents in Python.
huang-sh / pytorch-fsdpAn open-source, model-agnostic AI workbench for scientific discovery.
ashishps1 / learn-ai-engineeringLearn AI and LLMs from scratch using free resources
liwala / shealself-healing and self-learning loop for coding agents
datawhalechina / easy-vibe💻 The first course for AI-native product builders.
airmcp-com / mcp-standardsSelf-learning AI standards system - learns from corrections and auto-updates CLAUDE.md
remete618 / widemem-aiNext-gen AI memory layer with importance scoring, temporal decay, hierarchical memory, and YMYL prioritization
majiayu000 / llm-pipelinePydantic-AI agents, RAG, embeddings for Pulse Radar knowledge extraction.
NirDiamant / GenAI_Agents50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
Zipstack / unstractLLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows
openklas / openklasMCP server for University Learning Management System (KLAS).
symgraph / BinAssistMCPBinary Ninja plugin to provide MCP functionality.
PDgit12 / knitbrainThe local-first brain for coding agents: project memory + workflow intelligence + lossless ~50% context savings. MCP server + LLM proxy, zero cloud.
daseinpbc / SPL-FRAMEWORKSUBSUMPTION PATTERN LEARNING (SPL) MULTI-AGENT FRAMEWORK: Hierarchical foundation model agent architecture that reduces costs by 10-50x through intelligent suppression of expensive foundation model calls. Grounded in R. Arkin's behavior-based robotics and R.
supatest-ai / cursor-rules-generatorcursor-rules-generator
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.
CyranoB / web-foragerA search-and-fetch toolkit for AI agents, available as an MCP server and as standalone Agent Skills
NirDiamant / agents-towards-productionEnd-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
rohitg00 / ai-engineering-from-scratchLearn it. Build it. Ship it for others.
