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Descripción del creador (original en inglés)
Exact, durable handoffs between AI coding agents: one turn in the right session, never twice.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"agentbrain-handoffs": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/willykeenan/agentbrain-handoffs:0.1.0",
"mcp",
"--agent",
"{agent_id}"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add agentbrain-handoffs -- docker run -i --rm ghcr.io/willykeenan/agentbrain-handoffs:0.1.0 mcp --agent '{agent_id}'Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"agentbrain-handoffs": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/willykeenan/agentbrain-handoffs:0.1.0",
"mcp",
"--agent",
"{agent_id}"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"agentbrain-handoffs": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/willykeenan/agentbrain-handoffs:0.1.0",
"mcp",
"--agent",
"{agent_id}"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub willykeenan, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (0.1.0) llegó al registro hace 42 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Docker en tu computadora.
En la misma categoría: GitHub, Desktop Commander, Cloudflare MCP
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
Exact, durable handoffs between AI coding agents. Each handoff is one new turn in the recipient's existing session.
Real screenshot of the demo; the data in it is invented sample data.
pip install .
handoffs demo
Open the URL it prints (http://127.0.0.1:8765/). Four simulated agents hand work to each other. Ctrl+C stops and deletes the demo data.
A team of coding agents already has sessions, inboxes and tools. What it lacks is delivery: a message that reaches the right session, waits if that agent is busy, is sent once, and is retried within a bound when the provider drops it.
Without that, handoffs get lost, delivered twice, or pasted into a session that is already in the middle of a turn. AgentBrain Handoffs is the delivery layer. It is a local Python package (Python 3.9+, standard library only) with a command handoffs, a live page, and an MCP server.
From a clone of this repository:
python3 -m venv .venv
.venv/bin/pip install . .venv/bin/handoffs demo
Or, once the package is on PyPI:
pipx run agentbrain-handoffs demo
You should see:
AgentBrain Handoffs demo
Open http://127.0.0.1:8765/ Four simulated agents (Planner, Engineer, Reviewer, Writer) hand work to each other. Nothing real is contacted. The demo data is temporary and deleted when you stop (Ctrl+C).
The page updates every few seconds. Handoffs move through Accepted → Working → Finished. Work is returned and closed on its own. --speed 4 makes the simulated turns finish faster.
To keep the demo on another port: handoffs demo --port 9876.
A longer walkthrough, including your own agents, is in docs/QUICKSTART.md.
A handoff is a message addressed to one registered agent. The delivery engine turns it into exactly one new turn for that agent, at the session it had when the handoff was enrolled.
A work contract is a handoff with a title. The recipient returns a result (or a blocker); the sender closes it as accepted, revision, or blocked. A due time is optional; if it passes, the sender gets one non-waking reminder.
Delivery states, in plain words:
| State | Meaning |
|---|---|
| WAITING | Queued. Next engine pass will try to send it. A provider outage stays here too: the detail explains the hold and no attempt is used. |
| BUSY | The recipient is in the middle of a turn. This waits. |
| HELD | Blocked on purpose: the connection is blocked or delivery is paused. No attempt used. |
| UNAVAILABLE | The agent or its session is gone. Nothing is redirected. |
| OWNER_REJECTED | The session refused the write. One retry is allowed. |
| SENDING | The write is in flight. |
| UNCERTAIN | The write may have landed; the reply was lost, or an accepted turn could not be observed for 10 minutes. Observed, never resent. |
| ACCEPTED | The recipient's session took the turn. |
| RUNNING | The turn is in progress. |
| RETURNED | The turn finished. |
| FAILED | The turn failed or was interrupted, or the session refused it twice (then it was never delivered). |
| ACKNOWLEDGED | The recipient read the message; no separate turn is needed. |
| CANCELLED | Proven absent after enough history scans, or released by a person with handoffs release. Not resent. |
| DUPLICATE | Identical to a handoff still in progress. |
handoffs release ID cancels it; nothing is resent either way.| Provider | Status | What it talks to |
|---|---|---|
demo | Stable | Simulated agents. Used by handoffs demo. |
command | Stable | An argv (no shell) or an HTTP POST. |
codex | Experimental | codex app-server JSON-RPC over stdio. |
claude-code | Experimental | Claude Code headless (claude -p --resume). |
See docs/ADAPTERS.md for settings, examples and the experimental caveats.
Each agent session launches its own MCP server. The identity is fixed at start, so a tool call cannot act as another agent.
Claude Code
claude mcp add handoffs -- handoffs mcp --agent me
Replace me with the agent id you registered (handoffs agent add me --provider claude-code ...).
Codex (~/.codex/config.toml)
[mcp_servers.handoffs]
command = "handoffs" args = ["mcp", "--agent", "me"]
Cursor (MCP servers in Cursor settings)
{
"mcpServers": { "handoffs": { "command": "handoffs", "args": ["mcp", "--agent", "me"] } } }
Point every process at the same database with --db or HANDOFFS_DB. The engine (handoffs serve or handoffs run) is what actually delivers; the MCP server only writes to the inbox. Details: docs/MCP.md.
ContextLib keeps a project's decisions, facts and lessons as plain Markdown files. Install it and point the same server at a library, and each agent gets the context_* tools (brief, search, get, record, supersede, review, capture, export, import, status) next to its handoff tools:
pip install "git+https://github.com/willykeenan/agentbrain-contextlib"
claude mcp add handoffs -- handoffs mcp --agent me --context-library "/Volumes/SSD/ContextLib"
$CONTEXTLIB_ROOT works in place of the flag. The plugin runs as the server's fixed agent id, so an agent's records are authored by exactly the agent that sent its handoffs. Without a library, the server offers handoff tools only.
handoffs init
handoffs agent add planner --provider demo handoffs agent add builder --provider demo --name Builder handoffs send planner builder "Add a health check" --title "Health check" --due-minutes 30 handoffs serve # engine + live page on http://127.0.0.1:8765/ handoffs inbox builder handoffs read ID --as builder handoffs return ID --as builder --summary "Health check is green" handoffs close ID --as planner accepted handoffs status --json handoffs tick # one delivery pass (Codex and Claude Code turns wait for run or serve) handoffs release ID # stop tracking a stuck delivery; never resent handoffs run # engine only handoffs mcp --agent builder # stdio MCP server
--db PATH or HANDOFFS_DB selects the database (default ./.handoffs/handoffs.sqlite3). --json is accepted on the commands that print records. Usage errors exit 2.
| Command | Purpose | ||
|---|---|---|---|
init | Create the database. | ||
| `agent add\ | list\ | remove` | Register agents. --set KEY=VALUE is JSON when it parses. |
allow / block | Directed connections. | ||
config KEY VALUE | enabled, enabledAfter, connections, outageGuard. | ||
send FROM TO MESSAGE | Inbox message; --title makes it work. --key is idempotent. | ||
inbox / read / accept / return / close | Work lifecycle. --as or HANDOFFS_AGENT. | ||
status / tick / run / serve / mcp / demo | Inspect and deliver. | ||
release ID | Cancel one stuck delivery (for example UNCERTAIN) so its recipient is free. Nothing is sent. |
The live page binds to loopback and refuses non-loopback Host headers (DNS-rebinding). POST /api/send needs the token in .token (mode 0600). --public-demo exists only on handoffs demo (simulated agents, temporary data); that page cannot send and shows plain state sentences instead of adapter errors. MCP identity is the --agent you started with. Full model: docs/SECURITY-MODEL.md.
outageGuard.The image is published at ghcr.io/willykeenan/agentbrain-handoffs for Apple silicon and Intel.
docker run --rm -p 8765:8765 ghcr.io/willykeenan/agentbrain-handoffs demo --host 0.0.0.0 --public-demo # the live demo
claude mcp add handoffs -- docker run -i --rm -v ~/.handoffs:/data ghcr.io/willykeenan/agentbrain-handoffs mcp --agent me
The MCP server writes to the handoff database in ~/.handoffs; run the engine (handoffs serve) on the machine where your agents live so it can deliver.
Apache-2.0. Copyright KE Studios.
Source: github.com/willykeenan/agentbrain-handoffs. Live demo: huggingface.co/spaces/willykeenan/agentbrain-handoffs.
AgentBrain Handoffs is the open delivery layer for AgentBrain, the agent runtime coming to Agent Rooms (agentrooms.io).