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

Turn local files into searchable context for AI agents.

The local-first LLM Wiki: open-source knowledge graph builder, RAG knowledge base, and agent memory store. Built on Andrej Karpathy's pattern. An Obsidian alternative for personal knowledge management, AI second brain, and durable Claude Code / Codex / OpenClaw memory.

Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.

massa-ai plugin for Claude Code — semantic code search, durable memory, symbol graph, and context compression

A lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to Vector RAG and amnesia. Empower your AI with persistent, graph-like structured memory across any model, session, or tool. Drop-in replacement for OpenClaw.

Enables safe coordination of Herdr coding agents with lease-scoped reviewer and writer lifecycles, semantic waits for agent states, and read-only topology inspection, while prohibiting arbitrary shell execution and unscoped lifecycle operations.

Provides a local stdio MCP server for controlling YouTube Music through the CLI, enabling playback, search, queue management, and library access via MCP-compatible clients.

Enables retrieving data from 韭研公社 (jiuyangongshe.com) including timelines, hot rankings, article search, and community feeds, with optional login-protected features like stock movements and follow feeds, all without a browser.

Java AI application development framework (supports LLM-tool,skill; RAG; MCP; Agent-ReAct,Team-Agent). Compatible with java8 ~ java25. It can also be embedded in SpringBoot, jFinal, Vert.x, Quarkus, and other frameworks.

Structural memory for AI coding agents. Bi-temporal graph, MCP-native, zero LLM calls. Cursor · Claude Code · Codex · DeepSeek Harness · Hermes · VS Code · Windsurf.

Community plugin — NOT affiliated with DeepSeek AI. Extensible multi-provider web search for DSH — built-in DashScope and MiMo, easy to add more.

AI coding assistant skill (Claude Code, Codex, Gemini CLI, Kimi Code, GitHub Copilot CLI, Aider, OpenCode, OpenClaw) - turn any folder of code, docs, papers, images, or audio/video transcripts into a queryable knowledge graph

Model Context Protocol (MCP) server that enables AI assistants to securely interact with Odoo ERP systems through standardized resources and tools for data retrieval and manipulation.

MCP Toolkit for Flutter AI Agent Driven Development (MCP/CLI + custom client side tools) - via closed feedback loop (visual & semantic snapshot) and high client side customization adaptable for any Flutter app. Nowadays it is often called as agentic harness.

A PostgreSQL-backed archive generator that creates browsable HTML archives from link aggregator platforms including Reddit, Voat, and Ruqqus.

Lossless, project-scoped memory for AI coding tools. Durable context across sessions with MCP tools, FTS5 search, cloud sync, trace optimization, Claude/Codex/OpenCode/Gemini wrappers, skill packs, and automatic hooks.

Node.js/TypeScript MCP server for Atlassian Bitbucket. Enables AI systems (LLMs) to interact with workspaces, repositories, and pull requests via tools (list, get, comment, search). Connects AI directly to version control workflows through the standard MC

Structural memory for AI coding agents. Bi-temporal graph, MCP-native, zero LLM calls. Cursor · Claude Code · Codex · DeepSeek Harness · Hermes · VS Code · Windsurf.

Enables AI agents to generate images on a local Stable Diffusion Forge Neo instance, automatically inferring prompt style and sampling parameters from the user's setup and past generations, and providing tools for LoRA search, model management, and module checks.

mcp-language-server gives MCP enabled clients access semantic tools like get definition, references, rename, and diagnostics.

Enables discovery, retrieval, summarization, comparison, methodology and limitation analysis, research gap identification, and local management of academic papers via arXiv and Gemini AI.

Enables deterministic, read-only retrieval of ServiceNow Knowledge articles, including search, article details, and binary attachments, via the ServiceNow Knowledge Management REST API.

Provides four MCP tools for neural retrieval: personalized user recommendations, item-to-item similarity, cold-start text search, and explainable recommendation scores, enabling LLM agents to query a trained two-tower recommender over Amazon Reviews data.