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MCP servers and skills: search, filter by where they run, and compare.
MCP servers and skills: search, filter by where they run, and compare.
Servidor MCP de contabilidad española con IA para autónomos y pymes: emite facturas, registra gastos por OCR, concilia el banco y prepara el Modelo 303 desde Claude, Cursor o ChatGPT. Alternativa a Ho
PythonMIT★ 2Few starsNo key
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
PythonApache-2.0★ 13kNo key
A local-first notebook where a local AI files your notes, links them and answers questions with every sentence cited to its source. 100% offline, no account, no telemetry, one SQLite file. Python, Fas
SkillAGPL-3.0★ 3Few starsNo key
Messy long context -> structured insight -> auditable markdown, research threads, and inspectable outcomes.
PythonMIT★ 1Few starsNo key
Local-first file intelligence: desktop app, CLI, and safe MCP server for AI agents.
PythonMIT★ 18No key
A local-first, open-source harness for organizing your files with an AI agent, an MCP server for Claude Code, Codex, Cursor. BYO-key, no cloud.
PythonMIT★ 2Few starsNo key
Review-first local AI file organizer with dry-run apply, rollback, and agent-safe MCP.
PythonMIT★ 1Few starsNo key
Cognithor · Agent OS: Local-first autonomous agent operating system. 19 LLM providers, 18 channels, 145 MCP tools, 6-tier memory, Agent Packs marketplace, zero telemetry. Python 3.12+, Apache 2.0.
PythonApache-2.0★ 158No key
AI conversations that actually remember. Never re-explain your project to your AI again. Join our Discord: https://discord.gg/tyvKNccgqN
PythonAGPL-3.0★ 4.3kNo key
A Claude Code plugin that gives Claude persistent memory across sessions — stores lessons and decisions as markdown in your Obsidian vault, searches them with SQLite FTS5, and mines past transcripts a
PythonMIT★ 32No key
Catalog-first local paper libraries for Codex: organize PDFs and Markdown, retrieve a small evidence set, and keep source files local.
SkillMIT★ 3Few starsNo key
A lightweight MCP (Model Context Protocol) server for integrating ComPDF AI with Claude Desktop, enabling AI-powered intelligent document processing and data extraction from PDFs via natural language.
PythonApache-2.0★ 97No key
Long-term, cross-project memory for AI coding agents. Your own Obsidian vault as the source of truth. Daemonless and without opaque databases, your memory belongs to you.
PythonApache-2.0★ 66No key
MCP server for the complete Zabbix API - 237 tools, multi-server, OAuth 2.1 + bearer auth, PDF reports, systemd ready. Works with ChatGPT, Claude, VS Code, Codex, JetBrains and any MCP client.
PythonAGPL-3.0★ 236No key
Local-first, no-API-key MCP server for web search, fetch, and document reading. Multi-engine (DuckDuckGo, Mojeek, Startpage), smart Playwright fallback, FTS5 cache, LLM-tuned output.
PythonMIT★ 145No key
Local-first personal finance MCP. Plaid backbone (12K+ US institutions). Writes balances + holdings + transactions to your Obsidian-style markdown vault. Access tokens in macOS Keychain. Never sends d
PythonMITFew starsNo key
Files you own. Memory your agents can trust. Also: your AI won't gaslight you about what's in your own notes anymore.
PythonApache-2.0★ 19No key
Find files by what's in them: photos, PDFs, docs, voice memos and video, on your own computer. EmbeddingGemma 2 + llama.cpp; CLI, app and MCP server for agents.
PythonMIT★ 9No key
Synthadoc: An open-source LLM knowledge compilation engine that turns raw documents into structured, local-first wikis. A transparent, human-readable alternative to traditional RAG, which can be self-
SkillAGPL-3.0★ 1.6kNo key
Local-first AI daemon for Logseq OG: background semantic indexing, link hygiene, and agent-ready CLI/MCP — edits Markdown on disk (no cloud, no Logseq API). Karpathy LLM-Wiki inspired.
PythonApache-2.0★ 100No key
Serve local Markdown/wiki knowledge folders as agent-readable HTTP, MCP-style, and A2A-style context.
PythonApache-2.0★ 9No key
Git-native context layer for AI coding agents. Your team's real engineering decisions — patterns, pitfalls, conventions — live as reviewed markdown files in your repo; agents consult them before writi
PythonMIT★ 26No key
Conversion from Excel to structured JSON (tables, shapes, charts) for LLM/RAG pipelines, and autonomous Excel reading/writing by AI agents via CLI and MCP integration.
PythonBSD-3-Clause★ 203No key
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