Research & Data

Update your Model Context Protocol servers automatically across all AI coding clients and package ecosystems.

Search and analyze Korean laws, administrative rules, and public institution regulations using 110 MCP tools to provide accurate legal data for AI models.

Provide persistent memory for AI agents using the I-Lang protocol to enable data recall across different sessions and models.

Convert code into a queryable knowledge graph for humans and AI agents using live AST indexing for LSP and MCP.

Manage Google Ads accounts via MCP. Execute GAQL reads and secure two-phase mutations with full v24 API coverage for reliable ad campaign control.

Audit AI coding agents and project configurations for security flaws using static analysis, custom rules, and LLM-assisted verification.

Self-hostable, multi-LLM knowledge OS for individuals and teams. Gemini/Ollama, knowledge graph, real-time collaboration, AGPLv3 + commercial license.

Unity MCP acts as a bridge, allowing AI assistants (like Claude, Cursor) to interact directly with your Unity Editor via a local MCP (Model Context Protocol) Client. Give your LLM tools to manage assets, control scenes, edit scripts, and automate tasks within Unity.

local-first background AI daemon for Logseq OG. Turns your notes into an agentic workspace with autonomous indexing, zero data leaks, and an optional MCP server. Inspired by Andrej Karpathy's LLM-Wiki.

Automate VRM avatar generation using an agent-driven, headless forge pipeline for consistent model creation.

Inspect and automate WPF applications through semantically aware tools via the Model Context Protocol.

MCP server for Strava — bring your activities, segments, athlete data, and training history into AI agents via Model Context Protocol.

AI memory brain for Claude Code, Cursor, Copilot & Windsurf — 51 MCP tools. Persistent sessions, lessons learned, semantic search, Team Brain, managed Valkey/Redis. Free tier.

Meta-Agentic Ai Orchestration Platform For Developers and Data Scientists Developing Full-Cycle(E2E) AI Projects

Shared knowledge layer for human-agent teams. Agents search, classify, and manage knowledge alongside your team.

RAG MCP Registry Finder (RAGMap): subregistry API + MCP server + Firestore ingestion

Index codebases for AI agents with a single local binary providing semantic search, symbol graphs, and grep capabilities without API keys.

Automate coding tasks with a local-first AI runtime that features long-term memory and self-evolving capabilities.

Open-source private logbook with a local agentic layer. Long-living AI agents read what you record and propose what to do next. Hardware permitting, the models runs locally too. Matrix + Vodozemac for end-to-end encrypted sync between your own devices.

Secure AI agent tool calls by blocking destructive actions, redacting sensitive data, and enforcing human oversight with this universal security gateway.

ADAM — self-improvement layer for Claude Code. Observes session friction (corrections, retry loops, dead-ends, error loops, edit churn) via lightweight hooks and proposes targeted skills, memory entries, and agent edits. Auto-applies low-blast changes with cross-session evidence; queues everything else for review.

Provide Hermes agents with persistent semantic memory using SQLite truth storage and LanceDB vector retrieval for cross-session context management.

AI-powered skills for financial professionals. Comprehensive collection of finance, accounting, audit, and compliance skills for AI agents. IFRS/GAAP compliant with industry-specific applications.

Provide AI agents with modular skills to automate and manage Alibaba Cloud big data services using official APIs and SDKs.