Enables agents to store LLM query-response pairs and retrieve them via fuzzy cosine similarity matching, reducing duplicate inference calls; it exposes tools for setting cache entries, semantic lookup, and hit-rate statistics.

Search UAE beach clubs, day pass prices, amenities, opening hours and events across all 7 emirates.

Persistent visual cache for LLM-driven software development. Caches screenshots using perceptual hashing, vector search, and AX trees to prevent token overhead and visual hallucination loops.

Shared Single-file memory layer for all your agents, sub mili-second RAG over text, photo and video on Apple Silicon.. No Server. No API. One File. Pure Swift

Local MCP server that gives coding agents a verifiable project memory, trims what enters their context, and masks secrets — with honest accounting of what it saves and costs.

MCP server for local email archives — search and read Google Takeout .mbox exports and .eml files entirely on your machine. No OAuth, no IMAP, no cloud.

Persistent session memory for AI coding agents that never leaves your machine — including the on-device model that reasons over it. Restores your prior decisions, open TODOs, and changed files across sessions; adds associative recall of related past work,

MCP server for local email archives — search and read Google Takeout .mbox exports and .eml files entirely on your machine. No OAuth, no IMAP, no cloud.

Deep Zendesk MCP server for your AI assistant: search, draft, update and translate Help Center articles and manage Support tickets end to end — comments, triage and image attachments.

Search 264 AI benchmarks by category, with data sources and licences for each.

All your bookmarks in one library. Share them with your AI agents. Read-only search over your saves.

Search job postings aggregated from companies' careers sites, plus each job's discussion thread.

Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.

Run local AI across all your computers. Toskar's MCP server lets Claude, Cursor, and other clients ask your own local models and search your connected knowledge, with nothing leaving your machines.

Exposes four read-only tools over extracted Hacker News "Who is hiring?" job posts — postings_search, posting_get, skills_top, and skills_trend — so an MCP client or agent can search postings, look up individual posts, rank top skills, or chart skill trends over time. Tools return only structured extracted fields and HN links (never raw post text) from a read-only SQLite database, including salary sorting and a hard row limit to keep queries cheap.

Enables AI agents to store decisions as a versioned history, linking each new decision to the one it replaces so that recall always resolves to the decision currently in force instead of obsolete ones. It runs fully locally on a single SQLite file with BM25 search, and can optionally detect replacements automatically via an LLM or heuristic linker.

Search in-stock specialty coffee from hand-picked roasters, priced per 100g, and each week's drops.