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.

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.

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.

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.

Enables retrieval and structural analysis of FDA regulations.gov dockets: searching dockets, pulling comments and attachments into a local cache, extracting sectioned guidance text, and computing section-aligned draft-versus-final guidance diffs. All results are deterministic and cache-first, with no model calls in the server.

Enhanced, persistent web search plugin for DeepSeek Harness (multi-engine search, SQLite+LRU cache, platform backends, Playwright rendering)

Connects to a logged-in Windows LINE Desktop client to read chat history and cached images for a given chat and date range, and to perform GUI-driven actions such as batch sending text, files, real @mentions, quote replies, and forwarding after a single approval. It also supports read-only cross-chat search over the last 31 days, recent-chat listing, and local receipts that stop rather than resend when the outcome is uncertain.

Enables AI assistants to query and manage a Discogs music collection in natural language, including collection and catalog search, statistics, recommendations, wantlist and folder updates, ratings, and custom fields. It authenticates with Discogs via OAuth and caches a collection snapshot to answer many queries quickly.

Enables AI coding agents to read GitHub repositories, files, commits, issues, pull requests, releases, Actions, and search results through 18 read-only MCP tools. It reuses existing credentials, routes around unreliable networks, and caches responses on disk to stay within rate limits.

Enables AI agents to search and invoke 1,939 Atlassian automation tools across Jira, Confluence, Bitbucket, Admin, Assets, and more, with cached reads and JSON-RPC over stdio. It helps agents find tools without calling Atlassian and execute operations while reducing rate-limit pressure.

Enables AI clients to look up and search Arma 3 SQF commands and event handlers, browse wiki command groups, and read bundled scripting tutorials. Its local wiki cache is cloned and auto-refreshed from upstream on startup and every 24 hours, with a tool to force an immediate update.