AI Constraint Engine with AI Patch Firewall. 42 MCP tools. Patch Gateway (ALLOW/WARN/BLOCK verdicts), diff-native review (10 scored signals, hard escalation rules), Spec Compiler, Code Graph, Typed co
Persistent memory for AI agents. Store context, recall semantically, never lose important information. ✨ Features: - Hybrid search (semantic + keyword) - Entity extraction & knowledge graph - Multi
Find and download academic papers from leading sources like arXiv, PubMed, bioRxiv, medRxiv, Google Scholar, Semantic Scholar, CrossRef, and IACR. Get standardized results and fetch full-text PDFs whe
Cloud-hosted persistent semantic memory for AI agents. Semantic search, knowledge graphs, specialist expertise hats, and multi-tenant isolation. Free 7-day trial.
Persistent semantic memory for AI agents. SQLite-backed, local-first, zero config. Semantic search via Ollama embeddings (nomic-embed-text) with keyword fallback. remember, recall, history, forget, an
AI-native directory visualization with semantic analysis, ultra-compressed formats for AI consumption, and 10x token reduction. Supports quantum-semantic mode with intelligent file categorization.
Deterministic semantic word encoding and valence/sentiment analysis using 145K+ word lexicon. Provides word-to-code mapping, semantic similarity, synonym/antonym lookup with zero runtime NLP dependenc
A **Model Context Protocol (MCP) server** that enables AI agents to download, index, and semantically search PDF research papers. This server provides 8 tools that AI agents can discover and use auton
Search and download academic papers from arXiv, PubMed, bioRxiv, medRxiv, Google Scholar, Semantic Scholar, and IACR. Fetch PDFs and extract full text to accelerate literature reviews. Get consistent
The server provides immediate access to millions of academic papers through Semantic Scholar and arXiv, enabling AI-powered research with comprehensive search, citation analysis, and full-text PDF ext
The Semantic Engine for Model Context Protocol(MCP) Clients and AI Agents
Connect to VSCode ide and use semantic tools like `find_usages`
MCP for semantic code search & navigation that reduces token waste
Self-hosted MCP server that indexes documentation from various sources and serves it to AI Agents with semantic search.
Hierarchical memory engine for AI agents with automatic decay, promotion, semantic dedup, and self-organizing topic tree. Single Rust binary, zero external dependencies.
MCP Language Server helps MCP enabled clients navigate codebases more easily by giving them access to semantic tools like get definition, references, rename, and diagnostics.
Apple Notes MCP with semantic search, hybrid vector+keyword search, full CRUD operations, and incremental indexing. Uses JXA for native macOS integration.
AI-to-AI messaging via I-Poll protocol and AInternet. Enables agents to communicate using .aint domains, semantic messaging, and trust-based routing.
Analyze code snippets for quality issues and semantic drift to maintain high software standards. Compare various development solutions to find the best fit for your specific project needs. Streamline
Save, search, and manage long-term memories across users and apps. Quickly recall facts, preferences, and past conversations with semantic search and structured filters. Update or delete specific entr
Official MCP server for [dbt (data build tool)](https://www.getdbt.com/product/what-is-dbt) providing integration with dbt Core/Cloud CLI, project metadata discovery, model information, and semantic l
A Model Context Protocol server for Mem0 that helps manage coding preferences and patterns, providing tools for storing, retrieving and semantically handling code implementations, best practices and t
Web search (embedded SearXNG), content extraction, and library docs indexing with hybrid search (FTS5 + semantic). Built-in Qwen3 embedding, no API keys required.