17 skills found
brettmartin97 / codegraphMCP server for call-graph analysis, blast-radius impact, and code intelligence for AI coding assistants
Flux-Frontiers / agent_kgAgentKG - Conversational Memory as a Knowledge Graph
graphlit / graphlit-mcp-serverModel Context Protocol (MCP) Server for Graphlit Platform
huang-sh / pytorch-fsdpAn open-source, model-agnostic AI workbench for scientific discovery.
graphsignal / graphsignal-profilerGraphsignal Profiler
vitali87 / code-graph-ragThe ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs
vllm-project / semantic-routerA programmable Mixture-of-Models router for heterogeneous LLM inference
tirth8205 / code-review-graphLocal-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows.
reposkein / reposkeinDeterministic code-graph (GraphRAG) over your repo for LLM agents — local-first, git-native, zero-infra, served via MCP. Python, TS/JS, Rust, Go, Java, C#.
T-NhanNguyen / graphRAG-LlamaIndexgraphRAG agent harness tool
graphprotocol / mdcMonorepo for various tools used by subgraph developers.
ashishps1 / learn-ai-engineeringLearn AI and LLMs from scratch using free resources
SpillwaveSolutions / mastering-langgraph-agent-skillBuild stateful AI agents and agentic workflows with LangGraph in Python. Covers tool-using agents, branching workflows, memory persistence, human-in-the-loop, multi-agent systems, and production deployment. Supports 14+ AI coding agents via Agent Skill Standard.
ozgurcd / gographLocal-only Go static analysis engine with a built-in MCP server. Gives AI coding agents deterministic structural awareness: call graphs, impact analysis, symbol search, and more.
mshtawythug / second-brainLocal-first personal knowledge base CLI — hybrid FTS + pgvector search, a GraphRAG entity graph, and LLM enrichment over your notes, transcripts, Slack & Gmail. Runs fully local on Ollama (no cloud, no API keys); queryable by any AI agent through the built-in MCP server.
remete618 / widemem-aiNext-gen AI memory layer with importance scoring, temporal decay, hierarchical memory, and YMYL prioritization
kraklabs / miePersistent memory graph for AI agents. Facts, decisions, entities, and relationships that survive across sessions, tools, and providers. MCP server — works with Claude, Cursor, ChatGPT, and any MCP client.
