Model Context Protocol — servers, clients, and integrations.
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Production-grade, contracts-first framework for AI agents in Python — vendor-neutral, audit-ready.
Agent-native knowledge OS built on Markdown. A shared vault for AI agents and humans, backed by a typed knowledge graph, full-text search, a...
Blender addon for the DCC Model Context Protocol (MCP) ecosystem — embeds a Streamable HTTP MCP server directly inside Blender
The harness with muscle memory — activity tracing, pattern detection, and one-command workflow execution for Claude Code, Cursor, and Codex
🩵 The universal communication platform for AI agents. Give your agent inbound and outbound phone calls, sms, emails, and more.
Simple, flexible workflow orchestration for multi-agent AI apps, with YAML configuration, runtime safety, observability, and resume support.
A local memory and coordination layer for anything that can make an HTTP request — agents, devices, sensors, and humans on one network. Sove...
Agentic Power of Attorney (APOA) | Authorization infrastructure for AI agents
MCP for tmux, powered by libtmux
Structural security, governance and execution for AI agents: validate actions before they touch files, credentials, network, APIs, or money.
Run AI agents in Zulip as @mentionable bots — or wire into any MCP client.
Governed context for customer-facing agents. CRMy gives AI agents trusted customer context and action boundaries in one briefing_get call. M...
