16 skills found
i3T4AN / Vector-Knowledge-BaseA semantic search engine that transforms your documents into an intelligent, searchable knowledge base using vector embeddings and AI
vllm-project / semantic-routerA programmable Mixture-of-Models router for heterogeneous LLM inference
humanlayer / humanlayerThe best way to get AI coding agents to solve hard problems in complex codebases.
atomicstrata / atomicmemoryPortable semantic memory for AI agents: core engine, TypeScript SDK, framework adapters, MCP server, CLI, and host plugins.
keshrath / agent-knowledgeCross-session memory and recall for AI agents — git-synced knowledge base, hybrid semantic+TF-IDF search, auto-distillation with secrets scrubbing
patakuti / local-knowledge-rag-mcpA semantic search and retrieval system for local documents using vector embeddings. Powered by MCP (Model Context Protocol).
Agents365-ai / semanticscholar-skillSemantic Scholar API wrapper for agents — search 200M+ papers, traverse citations, find authors. Python, rate-limited, multi-agent.
sweir1 / obsidian-brainStandalone Node MCP server: semantic search + knowledge graph + vault editing for Obsidian, no plugin required
EverMind-AI / EverOSOne portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
strukto-ai / mirageThe World's First Unified Virtual Filesystem For AI Agents
iblai / ontologyOn-premise knowledge layer that makes an organization's existing systems (PeopleSoft, Snowflake, Canvas, Salesforce, …) queryable by AI agents over MCP — no data extraction, your data stays in your network.
tribal-memory / tribalSelf-hosted semantic memory over MCP for an engineering team's tacit knowledge. Rust, Postgres + pgvector.
lambda-capture / mcp-server🌐 MCP Server for Semantic Search of Macro Data for Quant Research AI Agents
mikeyobrien / ralph-orchestratorAn improved implementation of the Ralph Wiggum technique for autonomous AI agent orchestration
memtomem / memtomemMarkdown-first, long-term memory infrastructure for AI agents. Hybrid BM25 + semantic search across markdown/code files via MCP.
syahiidkamil / Software-Engineer-AI-Agent-AtlasATLAS: a senior-engineer layer for Claude Code. Explore with wireframes & prototypes, clarify the essentials, capture it in HTML spec doc then let Claude Code's native plan/goal/workflow loop build. Fewer tokens, less ceremony, faster to what people pictured. KISS/YAGNI/DRY, context decides.
