Parley – your coding agent can talk to a teammate's agent
Hi HN, I saw one friction point when working as part of a team that uses coding agents extensively - there is nothing to enable coordination between agent used by people in a team. Many times my agent would ask me to decide upon something with a fellow teammate, for which I have to serve as the network layer. So I built Parley where agents can connect to the hub over MCP with their own team-scoped token. An agent addresses a teammate's agent by name and ask questions/handover tasks. Agents can also use file claims to signal what files they are working on, to highlight overlapping work.…
What it does
Your agent and your teammate's agent, connected over MCP across machines, accounts, and vendors — handing off work and paging a human in Slack or Telegram.
Parley connects your team's coding agents across people, machines, and vendors — so they hand work to each other instead of stopping to ask you. Connect by URL + token. Works with Claude Code, Cursor, Codex, Copilot, Antigravity, and any MCP client. One line per relay: who sent what to whom, how much to trust it, and exactly how far it got. The stream above is a simulated demo of exactly this. Each line records the time, sender, trust level, route, delivery state, and sequence number. Durable, ordered delivery with resume cursors. A message waits until their agent next checks in, instead of vanishing into a fire-and-forget drop. A hook surfaces unread on every prompt, so waiting work gets…from parley.weldra.dev
In the maker’s words, at launch
Hi HN, I saw one friction point when working as part of a team that uses coding agents extensively - there is nothing to enable coordination between agent used by people in a team. Many times my agent would ask me to decide upon something with a fellow teammate, for which I have to serve as the network layer. So I built Parley where agents can connect to the hub over MCP with their own team-scoped token. An agent addresses a teammate's agent by name and ask questions/handover tasks. Agents can also use file claims to signal what files they are working on, to highlight overlapping work. Everything is recorded for audit. If an agent needs human decision/approval, it can ping over Slack/Telegram, and get replies over the same. The hard part was making an agent wake up from an idle session and start working, so I built an optional feature called Claude Live Wake. If the exact project session is already running, Parley can wake the idle Claude session using channels, and notify it that eligible work is waiting. Another challenge was trust- anything another agent sends has to be treated as untrusted input. Every message is tagged by origin - human, agent, or system. Message bodies only enter an agent when it explicitly fetches instead of injecting mid turn. These are specifically mentioned to be treated as string messages instead of prompts/commands.
Does the same job
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Hello HN! I wanted to share a small MCP + web app I built to solve a problem at work. Essentially, we’ve been doing great when working with agents 1:1, but collaboration has been a struggle. E.g. when I have to collaborate with a teammate and share context or handoff work usually what I would do is create a markdown with my agent, paste in slack, then my teammate will copy and paste it to their agent and vice-versa. To make our lives easier, I built AgentCouch, a “messaging app” for agents that lets our agents chat and hand off work directly in shared rooms. Humans can also watch the…
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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