Power your agent
คำสั่งของผู้เผยแพร่เอง ไม่ใช่เอนด์พอยต์ของ PlugMCP
Host a copy with our keys and logs.
npx -y [email protected]Claude Code ไม่มีลิงก์ติดตั้งสำหรับคำสั่งแบบโลคัล ให้คัดลอกคำสั่งด้านล่างแล้วรันในเทอร์มินัล
claude mcp add cotal-ai -- npx -y cotal-ai@0.164.5รันในเทอร์มินัล
{ "mcpServers": { "cotal-ai": { "command": "npx", "args": [ "-y", "[email protected]" ] } }}claude_desktop_config.json
URL แบบรีโมตหรือคำสั่งบนเครื่องของคุณ? การติดตั้งสองแบบต่างกันอย่างไร
รันบน PlugMCP
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
เปิดLive demo · Examples · Supported agents · FAQ
Cotal lets AI agents and software services work together in a shared space, across applications and machines. An agent can find its peers, message a channel, ask a reviewer for help, or call a service. You choose who delegates to whom.
Use it for a team of peers, a supervisor with workers, or a workflow with human checkpoints. Agents can join from a laptop, a workstation or a remote host. Separate spaces keep projects and their permissions apart.
The open standard defines identity, messaging, presence and endpoint control. The TypeScript implementation runs on NATS + JetStream and includes the CLI, application connectors, a process manager, durable workflows and observation tools. Read the overview.
curl -fsSL https://get.cotal.ai | sh
The installer writes to your home directory without sudo and opens guided setup. You can
read the script first or preview it with | sh -s -- --dry-run.
On Windows, or with an existing Node 22+ installation:
npm install -g cotal-ai
cotal setup
Setup prepares a space, configures your chosen application and seeds a default persona.
It asks separately whether to start. To prepare only, use cotal setup --configure-only.
If you leave startup for later, run these from the project folder:
cotal up # start the local mesh, delivery daemon and manager in the background
cotal spawn # open your agent in this terminal
In another terminal, cotal console shows the team and its messages. Press Ctrl-P to
open its command palette and launch another agent. You can also launch one directly with
cotal spawn --detach. Ask either agent to introduce itself to its peers.
cotal down stops the local stack. The Quickstart covers
requirements, non-interactive setup and troubleshooting. Prefer your coding agent to do
the setup? Give it https://docs.cotal.ai/prompt.md.
The CLI sends usage telemetry by default. Disable it with cotal telemetry off.
See what is sent.
A personal-session connection needs a signed-in space with a supported approval flow.
The approval explains its permissions and activity sharing. For a local static-auth or
open space, launch through cotal spawn instead.
The connectors expose mesh tools and deliver peer messages through each application's own mechanisms. Codex, Jcode and pi support directed messages during a live turn; personal native Claude Code sessions receive messages at supported busy boundaries. Resume, events and tool-sharing support differ by application. The connector matrix lists the details and maturity levels.
Managed agents can run in a PTY or a supported terminal runtime: tmux, cmux, Orca or Herdr. See runtimes for installation and availability.
Bring another application by writing a connector, or vote for the next one.
Each participant has an identity and reports its presence. Messages have three destinations:
#review.reviewer, so one available instance can take the work.On authenticated meshes, the durable backstop retains messages for busy or offline agents within the configured retention and lifecycle limits. Presence tells peers who is there; attention modes let an agent control which channel traffic may interrupt it. A heartbeat reports liveness, not proof that a task is progressing.
The manager starts and stops processes. It does not sit between agents' messages or
choose their work. Agents can request teammates through cotal_spawn when their grants
allow it. A manifest sets up a team in advance; Cotal Lang coordinates its execution.
Cotal Lang is a small subset of JavaScript for coordinating work over a step journal. A program can launch agents, wait for replies and pause for a person. A supported host can resume an interrupted run from its recorded progress.
For example, with planner and builder personas defined on the manager:
const planner = await spawn("planner")
const builder = await spawn("builder")
await turn(planner, { name: "plan" })
const approval = await checkpoint("approve-plan", "Build the plan?", { timeout: "4h" })
if (approval.value === "yes") {
await turn(builder, { name: "build", deadline: "30m" })
}
Save the program as build.cotal.js and start it on an authenticated mesh with run authority:
cotal run start --file build.cotal.js
cotal run # list recorded runs
cotal run show <runId> # inspect progress and open questions
cotal run answer <runId> <stepKey> --value '"yes"'
The runtime also supports concurrent branches, keyed submissions and authenticated cooperative cancellation. A cancellation record does not prove every external process has stopped. See Workflow runs for recovery and host limits, and the language reference for the full contract.
Services publish command contracts that authorized callers can discover and invoke.
The same endpoint interface serves the manager and integrations such as
Linear. Agents use cotal_describe and cotal_invoke where
their connector and grants provide them; scripts can use the CLI's
endpoint commands and structured output.
The Linear adapter serves an upstream account on static-auth meshes or through an approved user-auth service registration. A hosted deployment still needs to configure its authority, endpoint binding and caller grants. Installing an adapter does not grant access to an account or make a service available in every space.
For your own integration, choose among the TypeScript libraries, agent tools and HTTP references.
cotal console provides an interactive terminal view of peers, channels and messages.
Its command palette can launch agents and perform authorized operator actions.
cotal watch streams observations; commands such as who, ps and status answer
specific questions about peers, managed agents and the local machine.
The browser dashboard is a separately configured read-only service. It uses an explicit protected credential for a registered static-auth space and shows only what that credential may read. It does not mint its own access. Follow the dashboard setup before starting it.
cotal up authenticates by default. The broker checks the sender identity in each
message's subject and enforces per-agent permissions. Spaces use separate NATS accounts.
User-auth deployments let people sign in and issue access under their current grants.
The broker, operator and admin credentials are trusted. Direct messages are protected
from unauthorized peers, but are not end-to-end encrypted against those trusted parties.
cotal up --open is a loopback-only, live-only mode without authentication, for local
experiments. Read the security model.
Personal-session activity sharing, mesh permissions and CLI telemetry are separate settings. Review the connection approval before sharing a conversation's activity, and see Telemetry for CLI usage reporting.
Try the browser demo without installing anything. Its four scripted scenes cover a mixed-agent team, the delivery modes, changing topologies and a workflow that resumes on another machine.
All examples, including their own setup instructions and limitations.
The docs are at docs.cotal.ai. Pages also have Markdown
versions for agents, and installed connectors expose a versioned cotal_docs bundle.
MCP connects applications to tools. A2A defines agent communication using its own
request/response and task model. Cotal provides a shared pub/sub space with presence,
channels, durable delivery and role-based addressing. It reuses A2A's AgentCard and
Message/Part shapes, but uses the NATS binding rather than A2A's HTTP transport.
Reusing those shapes does not make Cotal an A2A transport bridge.
TypeScript is the reference implementation. The standard is a wire contract, so another language can implement it with a NATS client and the required identity, delivery and presence behavior. Build a client gives the implementation order.
Yes. They connect to the same space through a reachable broker. A laptop, workstation and remote host can participate together. Remote launches need an authorized manager; the host controls which agents and services may run there. See remote supervision.
The dashboard in this repository is a read-only observer configured with a static credential. Hosted Cotal has its own deployment and account flows. Support in a library or adapter does not mean every hosted deployment has enabled it.
We're looking for more design partners building multi-agent systems. Reach out.
Contributions are welcome: implement the contract in your language, build a connector, or open an issue. See Running the smoke gate for local and CI testing.
Building something on Cotal, or want to? Email [email protected]. We read everything.
Apache-2.0 for everything in this repo: the wire protocol, core, every extension, and the CLI. See LICENSING.md for the trademark note and the hosted-server plan.
Cloudflare and the Cloudflare logo are trademarks and/or registered trademarks of Cloudflare, Inc. in the United States and other jurisdictions.
Cotal — lateral agent coordination over NATS. Run `npx cotal-ai` for the CLI.
{ "mcpServers": { "cotal-ai": { "command": "npx", "args": [ "-y", "[email protected]" ] } }}เครื่องมือ
ยังไม่มีรายการเครื่องมือ เซิร์ฟเวอร์แบบรีโมตจะได้รายการหลังการตรวจสอบสถานะครั้งแรก
FAQ
คัดลอกคอนฟิก stdio สำหรับ Cursor, Claude Desktop, Claude Code หรือ VS Code ได้ในหน้านี้ คอนฟิกนี้ใช้การติดตั้งของผู้เผยแพร่ ไม่ใช่พร็อกซีของ PlugMCP
ระเบียนนี้ไม่ได้ระบุตัวแปรสภาพแวดล้อมที่จำเป็น
Cotal Ai ทำงานแบบโลคัลผ่าน stdio
ตรวจสอบล่าสุดเมื่อ 2026-11-13 Cotal — lateral agent coordination over NATS. Run `npx cotal-ai` for the CLI.