Real time communication for agents. Wake on message, channels, DMs and actions. Useful for orchestrating agents.

Control 1 or more machines using computer use tools that integrates with your agents

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

Multi-language agent runtime and library for execution scope management, lifecycle events, and middleware on tool and LLM calls.

MCP Server Framework and Tool Development library for building custom capabilities into agents.

Open-source adversary emulation for AI agents and MCP servers.

🌐Web Agent Protocol (WAP) - Record and replay user interactions in the browser with MCP support

Official one-stop shop for AI Agents and developers building with Telnyx.

Agentic AI explained with chickens 🐔 every pattern a runnable, CI-checked file.

The full featured self-hosted Codex gateway, for teams, agents and you

Skybridge is a full-stack TypeScript framework for MCP Apps and ChatGPT Apps. Type-safe. React-powered. Platform-agnostic.

Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 and semantic retrieval. Progressive Disclosure. No vector DB.

The open-source TypeScript framework for building AI workflows and agents. Designed for Claude Code describe what you want, Claude builds it, with all the best practices already in place.

Composio powers 1000+ toolkits, tool search, context management, authentication, and a sandboxed workbench to help you build AI agents that turn intent into action.

Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support.

The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.

MCP server for Kali Linux penetration testing - 121 tools for AI-assisted security testing - Giving Agents access to full pentesting tools

Unofficial Python API and agentic skill for Google Gemini Notebook. Full programmatic access to NotebookLM's features—including capabilities the web UI doesn't expose—via Python, CLI, and AI agents like Claude Code, Codex, and OpenClaw.

Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.

Playwright for coding agents. Benchmark Claude Code, Codex, Gemini, and OpenCode on your own tasks - and test that your skills, MCP servers, and CLIs work when an agent uses them. Sandboxed YAML suites, activation checks, A/B experiments, CI gates.