Tag: semantic-search
Persistent Semantic Memory and Knowledge Management
Memora provides a persistent, semantic memory layer for managing knowledge, architectural decisions, and task tracking across multiple sessions. It allows developers to store, retrieve, and organize context using hybrid search, structured h…
Hindsight Self-Hosted Team Memory Skill
Enables agents to persist and retrieve team knowledge, project conventions, and task learnings via a self-hosted Hindsight server. The server processes raw content to extract structured facts, entities, and semantic embeddings for efficient…
Semantic Code Analysis and Refactoring Toolkit
This skill provides access to JetBrains IDE indexing capabilities, enabling deep semantic code operations such as finding references, resolving definitions, and performing safe refactoring. It is designed to supersede basic text search for …
Persistent Memory for AI Coding Agents
Provides a persistent memory layer for AI coding agents, enabling semantic search, task checkpointing, and cross-session context retention. It operates locally using CPU-only embeddings and integrates with MCP-compatible clients.
Advanced knowledge base search and retrieval skill
This skill provides advanced retrieval across the knowledge base, supporting keyword, hybrid semantic, and category-filtered searches. It also allows querying the indexed git commit history to understand code provenance and document lineage…
Advanced research access to arXiv papers
This server provides comprehensive, research-grade access to arXiv, allowing developers to search by topic or author, download full texts, traverse citation graphs, and perform local semantic searches over collected papers.
persistent memory management for ai agents
This two-tier memory system provides persistent context for AI agents, featuring a zero-latency hot cache for frequently accessed data and semantic search for cold storage. Developers can store, recall, link, and manage memories across sess…
Persistent, Versioned Memory for AI Agents
This tool provides agents with a structured, versioned knowledge base, allowing for the storage of facts and complex summaries via keypaths. It supports semantic search, full project history tracking, and conflict detection, acting as a rob…
Advanced search of past coding conversations
This skill enables deep retrieval across historical Claude Code and Codex CLI sessions using a hybrid BM25 and semantic index. It guides the user through clarifying intent and formulating structured, multilingual queries to locate specific …
CodeGraphContext for Codebase Graph Indexing
Index repositories into graph databases such as Neo4j or Kùzu to enable semantic search and relationship analysis via CLI or MCP. It facilitates complex queries like call graph generation and analysing code relationships.
Agent Memory Protocol and Context Management
This system provides a complete, protocol-driven memory layer for agents, managing context through structured capture, semantic recall, and consolidation. It uses local SQLite embeddings to ensure persistent, context-aware operation without…
Advanced Context Retrieval from Persistent Memory
This skill provides advanced context retrieval from persistent memory using a 6-signal WRRF engine. It supports multi-modal queries (semantic, temporal, causal) and graph traversal for tracing historical decisions and patterns.
Persistent memory and knowledge sharing for agents
This tool provides persistent, long-term memory storage for agents, allowing facts and insights to survive session restarts. Developers can store, semantically recall, and manage memories across different scopes (agent, user, organization).
Neural Web Search and Research Tool
A neural web search tool providing semantic discovery, cited answer generation, and web content extraction. It supports domain-filtered searches, similarity discovery, and fetching full text from URLs for deep research.