Agent-talk: Enabling coding agents to work together

A new plugin called agent-talk enables coding agents like Claude Code to message each other and coordinate tasks across sessions, allowing developers to focus on high-level details instead of manually copying instructions between windows. The plugin, built on the retalk CLI, supports autonomous sending and receiving of messages and is available for both Claude Code and Codex, though Codex lacks auto-receive functionality.

Enabling coding agents to work together agent-talk is a plugin for coding agents e.g., Claude Code . It gives your agent a way to message other agents, including ones run by other people, allowing them to exchange messages and coordinate tasks. Big projects require coding agents to run in parallel across different sessions, often collaborating with other developers who have their own coding agents. Unfortunately, they have no way to talk to each other, so YOU end up being the messenger, copying instructions between windows by hand. agent-talk enables agents to messages one another, allowing them to coordinate the low-level implementations, enabling the users to focus on high-level details. Built on the retalk CLI.- Claude Code with plugin support. uv or pip if you want the init skill to install retalk.- A retalk relay URL. You can use an existing relay or create one with the relay skill. Note Don't have a relay yet? You can use the public relay: https://relay.retalk.dev give it as the relay URL when init asks . It is a basic instance with no uptime guarantee , so create relay skill for anything you rely on. Open a claude session first: /plugin marketplace add xhluca/agent-talk Once the marketplace is succesfully added, run: /plugin install agent-talk@agent-talk Finally reload the plugins to start using it: /reload-plugins Note agent-talk is designed to send/receive autonomously. In Claude Code, run the session in auto permission mode Shift+Tab until "Auto Mode On" is displayed to avoid permission prompts. Already have agent-talk? Instructions to update the marketplace /plugin install does not upgrade an existing install it reports "already installed" , and even a fresh install pulls from your local marketplace clone , which may be stale — third-party marketplaces do not auto-refresh by default. Recommended one-time : enable auto-update for this marketplace. /plugin → Marketplaces tab → agent-talk → Enable auto-update or set "autoUpdate": true on the marketplace entry in your settings . Claude Code then refreshes the marketplace and keeps the installed plugin at the latest release on its own. Manual: refresh the marketplace, then update the plugin: /plugin marketplace update agent-talk /plugin update agent-talk@agent-talk the same works in a terminal via claude plugin … ; add --scope project for a project-scope install . Restart the session or /reload-plugins to apply — sessions keep using the old skills until you do. Local development/marketplace install claude --plugin-dir /path/to/agent-talk You can also add a local marketplace entry from Claude Code: /plugin marketplace add ./agent-talk Next, ask Claude Code to get started: Set up the agent-talk plugin to talk to my peer The init skill will: - Install retalk if it is missing. - Ask a few questions to help set up communication with your peer. - Save this session's user mapping so the inbox monitor can push new messages into the conversation. agent-talk installs under Codex too — the same skills, through Codex's own plugin system. In a terminal: codex plugin marketplace add xhluca/agent-talk codex plugin add agent-talk@agent-talk Then start Codex and ask it to get going: Set up the agent-talk plugin to talk to my peer Codex loads the same init / id / add / send / receive skills and drives the retalk CLI directly. Warning Auto-receive is not available on Codex. A peer's message will not surface in your active Codex session on its own. Codex has no supported way for a background process to push input into a running session, unlike Claude Code's inbox monitor. On Codex, receiving is pull-based : run the receive skill on demand, or have the agent check at the start of a turn. This is a Codex limitation, not a retalk one, and fixing it depends on an unshipped Codex feature. For the full write-up of why, what we tried, and what would unlock it, see docs/codex-auto-receive.md /xhluca/agent-talk/blob/main/docs/codex-auto-receive.md . agent-talk installs under the Antigravity CLI too, with the same skills, through Antigravity's own plugin system. Antigravity reads the Claude Code plugin layout, so it installs the plugin straight from a checkout of this repository. In a terminal: curl -fsSL https://antigravity.google/cli/install.sh | bash installs the agy binary git clone https://github.com/xhluca/agent-talk agy plugin install ./agent-talk agy plugin install reads .claude-plugin/plugin.json and the skills/ directory at the repository root, then copies the plugin into ~/.gemini/config/plugins/agent-talk/ . Confirm it landed with agy plugin list . Then start Antigravity and ask it to get going: Set up the agent-talk plugin to talk to my peer Antigravity loads the same init / id / add / send / receive skills and drives the retalk CLI directly. Warning Auto-receive is not available on Antigravity. A peer's message will not surface in your active agy session on its own. The Antigravity CLI has no supported way for a background process to push input into a running session, unlike Claude Code's inbox monitor. On Antigravity, receiving is pull-based : run the receive skill on demand, or have the agent check at the start of a turn. This is an Antigravity limitation, not a retalk one, and fixing it depends on an unshipped Antigravity feature. For the full write-up of why, what we tried, and what would unlock it, see docs/antigravity-auto-receive.md /xhluca/agent-talk/blob/main/docs/antigravity-auto-receive.md . agent-talk installs under pi too: the same skills, through pi's own package system. pi discovers the plugin's skills/ directory automatically. In a terminal: pi install git:github.com/xhluca/agent-talk Then start pi and ask it to get going: Set up the agent-talk plugin to talk to my peer pi loads the same init / id / add / send / receive skills and drives the retalk CLI directly. Note Auto-receive is available on pi. The plugin ships a pi inbox extension extensions/inbox-monitor.ts that pushes an incoming message into your running pi session and triggers a turn, the same role Claude Code's inbox monitor plays. To turn it on, choose the auto delivery mode in the init skill and start pi with the spool path set: AGENT TALK PI SPOOLS="<user /inbox.ndjson" pi . With the variable unset the extension is inert, so receiving is pull-based run the receive skill on demand . This was verified end to end between two live pi sessions. For the mechanism, the enable steps, and the test results, see docs/pi-auto-receive.md /xhluca/agent-talk/blob/main/docs/pi-auto-receive.md . agent-talk installs under opencode too, with the same skills. opencode reads Agent-Skills-standard SKILL.md files directly, discovering them from fixed directories rather than from a plugin manifest, so you install by pointing one of those directories at this repository's skills/ . In a terminal: npm i -g opencode-ai or: curl -fsSL https://opencode.ai/install | bash git clone https://github.com/xhluca/agent-talk ln -s "$PWD/agent-talk/skills" ~/.config/opencode/skills global; or a project's .opencode/skills opencode discovers each skills/<name /SKILL.md on startup. Confirm they landed with opencode debug skill . Then start opencode and ask it to get going: Set up the agent-talk plugin to talk to my peer opencode loads the same init / id / add / send / receive skills and drives the retalk CLI directly. Note Auto-receive is available on opencode. The plugin ships an opencode inbox plugin extensions/opencode/inbox-monitor.ts that pushes an incoming message into your running opencode session and triggers a turn, the same role Claude Code's inbox monitor plays. opencode runs a client/server, so the plugin is handed a client bound to the live session and injects each message with client.session.promptAsync . To turn it on, copy the plugin to ~/.config/opencode/plugins/inbox-monitor.ts , choose the auto delivery mode in the init skill, and start opencode with the spool path set: AGENT TALK OPENCODE SPOOLS="<user /inbox.ndjson" opencode . With the variable unset the plugin is inert, so receiving is pull-based run the receive skill on demand . For the mechanism, the enable steps, and what was verified, see docs/opencode-auto-receive.md /xhluca/agent-talk/blob/main/docs/opencode-auto-receive.md . agent-talk installs under GitHub Copilot CLI too the standalone copilot command , with the same skills. Copilot CLI reads Agent-Skills-standard SKILL.md files directly, discovering them from fixed directories rather than from a plugin manifest, so you install by pointing one of those directories at this repository's skills/ . In a terminal: npm install -g @github/copilot requires Node 22+ git clone https://github.com/xhluca/agent-talk ln -s "$PWD/agent-talk/skills" ~/.copilot/skills personal; or a project's .github/skills, .claude/skills, or .agents/skills Copilot CLI discovers each skills/<name /SKILL.md on startup. Confirm they landed with copilot skill list . Then start Copilot CLI and ask it to get going: Set up the agent-talk plugin to talk to my peer Copilot CLI loads the same init / id / add / send / receive skills and drives the retalk CLI directly. Warning Auto-receive is not available on the interactive Copilot CLI. A peer's message will not surface in your active copilot session on its own. The interactive Copilot CLI has no supported way for an unrelated background process to push input into a running session, unlike Claude Code's inbox monitor. On Copilot CLI, receiving is pull-based : run the receive skill on demand, or have the agent check at the start of a turn. Copilot CLI does expose programmatic surfaces an ACP server and a headless SDK server , but those drive a session the client itself owns, not the terminal session you are typing in. This is a Copilot CLI limitation, not a retalk one. For the full write-up of why, what we tried, and what would unlock it, see docs/copilot-auto-receive.md /xhluca/agent-talk/blob/main/docs/copilot-auto-receive.md . Alice is a data engineer. Her agent just finished assembling a new dataset, customer-churn-v3 , and knows its schema, how it was built, and every quirk in it. Bob is a research scientist on another team, training a churn model on that dataset. His agent is writing the data loader when it hits something it should not guess about: the dataset ships with train / val / test splits, but there are several rows per customer. If the same customer shows up in both train and test, the model's accuracy will be quietly inflated by leakage. So Bob's agent asks the agent that owns the data, directly, instead of waiting for the two humans to trade Slack messages: Bob's agent:Quick question on customer-churn-v3 : are the train/val/test splits grouped by customer id , or split row-wise? I have multiple rows per customer and want to rule out leakage across splits before I start training. Alice's agent checks the pipeline that produced the splits and replies: Alice's agent:Good catch. v3 is split row-wise, so a customer can land in more than one split. I pushed v3.1 yesterday with a customer id -grouped split same schema, grouped so no customer crosses splits for exactly this. Want me to point your loader at v3.1? Bob's agent switches to v3.1 and trains on clean splits. Each human set one high-level goal; the agents settled the detail between themselves in minutes, each bringing context the other side did not have. That is what agent-talk is for: agents that own different pieces of a system, talking to each other directly instead of routing everything through their humans. For how the pieces fit together identities, the relay, contacts, and message delivery , see Core Concepts /xhluca/agent-talk/blob/main/docs/README.md core-concepts . Example usage To print the id again: /agent-talk:id The you send the printed 32-hex fingerprint to a peer, and add the peer's fingerprint with add if it was not provided during setup. After setup, use plain language or explicit skill calls: message bob: hello from alice check messages from bob watch for replies from bob Equivalent explicit calls look like: /agent-talk:send bob "hello from alice" /agent-talk:receive /agent-talk:receive follow bob Client skills mirror retalk subcommands and workflow steps. | Skill | Purpose | |---|---| init | Pick or create this session's isolated user, configure relay and peers, and register the session map. | id | Print this user's fingerprint and public identity data. | add | Save a peer fingerprint under a local name. | verify | Fetch and pin a saved peer's keys before messaging. | contacts | List, show, export, or remove saved peers. | send | Send an encrypted message to a saved peer, or a whole group with --group . | group | Create and manage group rooms a local roster of peers to message several at once. | receive | Read messages from designated peers, or start/stop/status a scoped follower. | history | Replay the conversation agent-talk saves by default both directions without contacting the relay. | sync | Republish keys, replenish one-time keys, rotate fallback keys, and retry unsent mail. | config | Show or set owner-wide defaults in ~/.retalk/config.json e.g. the default relay . | block | Block, unblock, or list blocked senders. | share | Send a saved contact card to another saved peer. | import | Review and import staged or pasted contact cards. | Server-side relay management is grouped under: | Skill | Purpose | |---|---| relay | Set up, ping, stop, or delete a retalk relay. | Host-specific relay notes live in: The important relay rule is that the server audience must exactly match the URL clients use as the relay URL, including scheme and without a trailing slash. For the repository layout, see Project Layout /xhluca/agent-talk/blob/main/docs/README.md project-layout . Important agent-talk carries messages over retalk https://retalk.dev , which encrypts everything end to end by design, but the code has not been independently audited yet. Please keep that in mind before trusting it with sensitive messages. Six: Claude Code, OpenAI Codex, Google Antigravity, pi, opencode, and GitHub Copilot. The same skills install under each one through its plugin system see the per-agent Quickstart sections above . Auto-receive — a peer's message surfacing in the session as it arrives — runs today on Claude Code, pi, and opencode. On Codex, Antigravity, and Copilot receiving is pull-based for now: run the receive skill on demand, or have the agent check at the start of a turn. That reflects the message hooks each of those agents exposes today, not a retalk limitation; auto-receive will work on them too once they add support for pushing into a live session. Agent Teams the experimental CLAUDE CODE EXPERIMENTAL AGENT TEAMS is batteries-included coordination: one lead session spawns teammates as child processes and gives them a shared task list with dependency tracking, an automatic mailbox, and lead-driven synthesis. It is powerful but session-bound and brittle — teammates die when the lead exits, are not resumable, and can only be watched or steered from that one in-session panel. agent-talk is the messaging primitive alone . Agents stay independent, resumable, and separately observable; you add just the communication channel, not a lead, a task list, or a hierarchy. The trade-off is deliberate — see "Do I get a shared task list…" below. Reach for Agent Teams when the work needs tight, in-session convergence — competing-hypothesis debugging, multi-lens review, a cross-layer feature whose owners must negotiate boundaries — and one person is driving one screen. Reach for agent-talk when the agents are long-running, headless, or spread across multiple terminals, machines, or people , and each must survive and be managed on its own. That is the durable, observable, composable end of the spectrum, where a session-bound team is awkward. claude agents and subagents give you independent sessions running in parallel, but with no way for them to message each other . agent-talk supplies exactly that missing primitive. The combination — independent, resumable, separately-managed agents plus a lightweight message channel — is the sweet spot for multi-agent work that is not confined to a single interactive session. No — and that is the deliberate trade-off. agent-talk moves messages; it does not give you Teams' self-claiming task items, dependency auto-unblocking, or a lead that aggregates everyone's findings. In exchange you get durability no single-lead point of failure , observability attach to any agent from any terminal , and peer-to-peer freedom to pick your own coordination pattern. If you need orchestration on top, you build it over the messaging layer. Yes. Unlike Agent Teams' same-host child processes, agent-talk agents communicate as peers over an untrusted relay with end-to-end encryption , so they can live on different machines, networks, or organizations and still exchange messages that the relay operator can never read. agmsg is a plaintext, same-machine coordination bus where co-located agents share a local SQLite file, whereas agent-talk carries end-to-end-encrypted messages over an untrusted relay, so agents on different machines or run by different people can talk while the relay only ever sees ciphertext. They sit in different categories: Mosaic is a proprietary, cloud-hosted collaborative workspace where humans and agents co-work in a shared, live, persistent environment sold by the seat, whereas agent-talk is an open, self-hostable, end-to-end-encrypted messaging primitive that lets independent agents on different machines exchange messages over a relay that only ever sees ciphertext. MIT. See LICENSE /xhluca/agent-talk/blob/main/LICENSE .