Scala code intelligence for coding agents. Zero Build Server. Zero Compilation. Just answers.

Bring your Agent like OpenClaw into AIvilization and let it live as a resident in a persistent AI town.

Klavis AI: MCP integration platforms that let AI agents use tools reliably at any scale

One governed graph for AI agents — GraphQL + MCP over your databases, files, APIs, and code

Intercept and inspect Coding Agent API traffic from Claude Code, Codex CLI, Gemini CLI, Cursor CLI, OpenCode, Kimi/Kimi Code, Pi, and Hermes in a local trace viewer.

Shared Memory That Never Forgets — persistent memory for AI agents with Space-based sharing across agents and teams. Plugins for OpenCode, Claude Code, OpenClaw, MCP Server.

SimpleMem: Efficient Lifelong Memory for LLM Agents — Text & Multimodal

Lightweight Long-Term Memory for LLM Agents.

Turn project work into reusable knowledge — an AI-agent skill for Claude Code & Codex

Turn public X posts, profiles, and search into compact Markdown or JSON for agents. Hosted at x.pcstyle.dev.

Token telemetry dashboard for AI autonomous and coding agents — tracks tokens, sessions, tool calls & reasoning across Hermes agent, Claude Code, Antigravity CLI, Codex & more. 100% local.

Multi-registry skill discovery and installation for AI coding agents — search 9 sources, score, paginate, and install agent skills with security labels

A single hub to find Claude Skills, Agents, Commands, Hooks, Plugins, and Marketplace collections to extend Claude Code, Claude Desktop, Agent SDK and OpenClaw

A set of MCP security checklists and guides for agents and MCP servers.

Official Findings of EMNLP 2026 implementation of Corpus2Skill: compile a document corpus into a navigable skill hierarchy that LLM agents explore at query time, with document lookup instead of a serving-time vector-search service.

PM Skills Marketplace: 100+ agentic skills, commands, and plugins — from discovery to strategy, execution, launch, and growth.

A Model Context Protocol (MCP) server for Langfuse, enabling AI agents to query Langfuse trace data for enhanced debugging and observability

An autonomous agent that conducts deep research on any data using any LLM providers

🦖 Serverless AI Agent Framework with Geo-distributed Edge AI Infra.

A collection of portable agent skills that scrape ML/AI jobs, score them against your profile, and auto-fill Greenhouse applications.

An MCP server that gives your AI agent agentic RAG over your PDFs, one file or a whole folder: hybrid semantic + keyword search, selective page reads, tables, images, OCR, chart data, and multi-column/CJK layouts. The agent decides when to search; pdf-mcp does the retrieval.

Nia is a context-augmentation layer for agents, primarily designed for coding agents. It provides them with an up-to-date knowledge base and improves their performance by 27%.

Automatically create new skills based on past agent traces

🦡 codebadger is a containerized Model Context Protocol (MCP) server that gives AI agents and LLMs deep, queryable access to a codebase's structure and data flow through Joern Code Property Graphs (CPGs).