Actiongate
Pre-execution safety layer for autonomous agent wallets — risk scoring, simulation, and policy enforcement via MCP, with free tier and pay-per-call pricing…
Directory
Pre-execution safety layer for autonomous agent wallets — risk scoring, simulation, and policy enforcement via MCP, with free tier and pay-per-call pricing…
One shared context layer for AI agents and humans — live API specs, DB schemas, and versioned contracts across repos so every agent and teammate works from the…
External QA layer for OpenClaw memory — diagnose, guard, and remediate your agent's memory.
Persistent memory layer for AI agents with entity resolution, PII detection, AES-256-GCM encryption at rest, and hybrid search. Self-hosted. 100% on LoCoMo…
A Model Context Protocol (MCP) server that provides AI-powered search and querying capabilities for the Vercel AI SDK documentation. This project enables…
MCP server for Voyage AI embeddings, reranking, and MongoDB Atlas Vector Search. Provides 11 tools for semantic search, document ingestion, cost estimation…
DejaView is a persistent knowledge graph memory layer for AI agents. It gives every MCP-compatible AI host shared, queryable memory of people, projects…
Open scientific knowledge MCP for AI agents. Three profiles: search (15 tools incl. find_evidence, compare_papers, explore_topic), publish (5 tools for direct…
# semantic-search-mcp-server A Model Context Protocol (MCP) server built with mcp-framework for enhancing Claude Desktop with semantic search capabilities. ##…
Discovery & reputation layer for AI agents: semantic search over 15,000+ agents and MCP servers, cross-registry reputation, remote MCP over Streamable HTTP, no…
Memento is a local-first, LLM-agnostic memory layer. It runs an MCP server over a single SQLite file on your machine, so any MCP-capable AI assistant — Claude…
# Documentation MCP Server with Python SDK ## Prerequisites - `uv` package manager, (optional but **highly recommended**) - claude desktop or cursor (…
rtfmbro provides always-up-to-date, version-specific package documentation as context for coding agents. An alternative to context7
Implement semantic memory layer on top of the Qdrant vector search engine
The media memory layer for AI agents and their humans. Track books, movies, music, TV, and anime from any MCP client.
AI Reasoning Cache & Consensus Layer with 50+ reasoning objects across 14 domains. Cache hit/miss with token savings, failure risk check before execution…
Persistent AI memory server with 3-layer hybrid search, confidence scoring, and 16 tools. Zero LLM dependency.
Your portable context layer — load it into any AI.
Search Android Vehicle Hardware Abstraction Layer (vHAL) documentation and source code from a local repository clone.
Shared memory layer for AI coding agents with dream pipeline distillation, session grounding, and multi-instance coherence.
A knowledge graph-driven persistent memory layer for coding agents and LLM workflows.
Open-source shared AI memory and team knowledge layer with 44 MCP tools for notes, memories, URLs, emails, projects, graph search, semantic search, and Git…
Self-hosted permission-aware context layer. Search returns only what the caller may read.
Two-layer memory for AI agents with an immune system — episodes compress into identity through citation-validated graduation. Zero dependencies, 5 MCP tools.