One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.

MCP server that gives AI agents the web: fetch, search, crawl and screenshot from one local Rust binary. Zero API keys, zero accounts, Chrome-true TLS.

🧠 The memory that dreams — cross-session memory for DeepSeek Harness. Local SQLite + Markdown mirrors, autoDream consolidation, 4-way recall (keyword/vector/BM25/entity), and a memory panel. 10 model tools, MCP server, CLI.

Session-level (not fragment) local memory for AI coding agents: passively captures Claude Code, Codex, ZCode and Qoder conversations into one SQLite store, with provenance-cited retrieval and a human-only right to be forgotten.

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.

A local catalogue of the AI tools people share in group chats: search it, save links, vote out junk, and file items into your own folders. Works with any model or none.

Enables Claude to search, download, upload, trash, rename, move, and share Google Drive files across multiple independently authenticated Google accounts through one local stdio connection, with scoped access and confirmation safeguards.

Enables host assistants to discover and read the toolkit’s research methods over a local stdio MCP connection, supporting research planning, literature work, scientific reasoning, writing, figures, and academic document workflows. It does not itself search scholarly databases, generate research results, compile documents, or call models.

Enables AI IDEs and assistants to perform AST analysis, map dependency graphs and call chains, run semantic code search, and optionally sync cloud-backed memory — all locally so source code never leaves the machine.

Exposes 16 local stdio MCP tools that give Codex-style clients project-isolated persistent memory, local ONNX-based semantic search, and durable task tracking that survives across sessions and concurrent clients, without executing agents, hosting a model, or contacting model providers.

Enables AI agents to run private web searches against a self-hosted SearXNG instance, rerank results with a local model, and fetch or extract pages locally into markdown, including PDFs, with optional caching, crawling, and cited local-LLM answers.

Enables MCP clients to search, read, create, and link notes in a local-first Markdown vault, with indexing, backlinks, and safe writes underneath.

It enables AI agents to access live web data through page fetching, search, prebuilt scrapers, datasets, and remote browsers, using free direct requests and local Chrome rendering with Bright Data only as a fallback for bot walls. It also adds budget controls, caching, pagination, cancellation, retries, SSRF protection, and both stdio and HTTP transports.

Enables AI assistants and other MCP clients to search, retrieve, and browse end-to-end encrypted contacts locally through read-only tools, decrypting data only on the user's device.

Enables local stdio MCP clients to perform Kimi Basic and Pro web searches and fetch HTTP/HTTPS pages, returning titles, URLs, snippets, dates, source authority, optional page text, or Markdown content.

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.

Bridges a local Figma development plugin to a local MCP server, letting the client read and write real canvas layers through the Figma Plugin API without consuming official MCP or Dev Mode quota. Supports layer and auto-layout editing, component and variable inspection, design-to-code context retrieval, and PNG/JPG/SVG/PDF export.

Enables Claude, Cursor, ChatGPT, and other MCP clients to search, add to, and browse a local personal knowledge base built from notes, docs, and PDFs, with cited results and no data leaving the machine.

Enables local MCP clients to discover and invoke openEuler infrastructure operations, covering CVE security notices, packages, forums, SIG documentation, mailing lists, search, repositories, and issues through structured tool calls.

Enables agents to crawl, search, map, and extract structured evidence from websites, SPAs, PDFs, Office files, YouTube videos, GitHub repositories, ArXiv papers, shopping and travel listings, and CVE advisories via local or cloud-backed tools.

Enables agents to search local Chinese text memories and fetch individual records through stdio tools, using bigram FTS5 recall with optional vector rank fusion.

Enables agents to query the Brave Search API across web, local, news, image, and video indexes through five MCP tools, returning consistent result details.

Enables AI agents to read and write a local-first Markdown/Obsidian notebook via a single capture call that routes text into the right notebook, board, or daily journal entry and returns related notes, alongside search, note and card management, and numeric metric series. Access is governed by per-agent tokens with read/write/admin scopes, optional folder restrictions, and an audit log of every action.

Local MCP for web search, direct-URL fetch, site crawling, docs export, and bounded smartbrowser local browser actions.