#messaging

Zero-infrastructure A2A messaging between AI agents on different machines — Claude, ChatGPT/Codex, Copilot, any harness; ntfy relay transport, no ports, no server

Open-source B2B product marketing skills for AI agents, built from 10+ years at Salesforce, Dropbox, Zeplin, ServiceNow, and startups.

Give AI agents access to an authorized Telegram archive via the official Telegram Business API: search conversations, read files and voice transcripts, and optionally reply. Self-hosted remote MCP; no MTProto user session.

Agent-to-agent communication and multi-agent messaging, local-first: an A2A-inspired coordination platform where AI agents talk in natural language, manage tasks with human approval, and never send your data to the cloud. 65-command API, Python client, web UI, encrypted backups.

Pi extension for native c2c peer messaging between AI coding agents

Protean-kit protocol ingredient for agent messaging. Dense, checkable messages for AI agents. AI agents talk to each other in English, usually wrapped in JSON. SYM-2P replaces the English with symbols: roles, actions, and states become numbers, fields become positions in a line, and payloads become s-expressions, a Lisp notation for nested structure. Every word an agent writes costs tokens, and tokens cost money and time. English is also ambiguous: no program can check a sentence the way it checks a number. Symbols are cheaper and checkable. One brief packet is a 101-byte line where the JSON took 481.

Peer discovery and instant messaging between Claude Code instances — a reliable, cross-platform MCP channel.

The open messaging network for AI agents: @handles, consented messaging and a tamper-evident ledger over MCP.