Un entorno de ejecución agéntico de código abierto en TypeScript que ejecuta agentes de programación en segundo plano y verifica su trabajo antes de confirmar los cambios.
También conocido como agentproto/ts, @agentproto/app-client, @agentproto/harness, @agentproto/mcp-server, @agentproto/plugin-local-browser
- Stars
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- Último commit
- 14 nov 2026
- Licencia
- Apache-2.0
¿Qué es agentproto MCP?
agentproto es un MCP server. Un entorno de ejecución agéntico de código abierto en TypeScript que ejecuta agentes de programación en segundo plano y verifica su trabajo antes de confirmar los cambios.
Resumen generado a partir del README del proyecto
Acerca del MCP server de agentproto
Este entorno de ejecución en TypeScript proporciona un ambiente en segundo plano para gestionar agentes de programación sin necesidad de supervisión manual constante. Actúa como un demonio central que puede ejecutar varios CLI de agentes existentes, como Claude Code, Codex, Hermes y Mastra, a través de un ciclo de vida unificado. Los desarrolladores pueden iniciar, enviar mensajes y monitorear múltiples agentes desde una única interfaz, lo que les permite alejarse de la terminal mientras el trabajo continúa.
Una característica clave es la capacidad de restringir las acciones de los agentes mediante verificaciones automatizadas. Puedes adjuntar tus propias suites de tests o un modelo revisor más potente para verificar los cambios antes de que se haga cualquier commit de código. El sistema admite flujos de trabajo complejos, incluyendo la orquestación anidada donde los agentes gestionan a otros agentes, tareas programadas mediante cron y automatización de navegadores. Se integra con el ecosistema MCP, permitiéndote importar y actuar como proxy de herramientas de otros servidores directamente en tus sesiones de agentes.
Para usarlo, instalas el CLI e inicias el demonio localmente. Requiere paquetes adaptadores específicos para los agentes que desees utilizar. El entorno de ejecución expone una amplia gama de herramientas a través de MCP, incluyendo gestión de sesiones, almacenamiento de memoria y ejecución en sandbox, lo que lo convierte en un framework integral para el desarrollo agéntico.
Qué puedes hacer con él
- 1Verificación automática de códigoEjecuta un agente de programación para refactorizar un módulo y asegúrate de que pase los tests antes de hacer el commit.
- 2Orquestación de agentes en segundo planoGestiona múltiples agentes de programación simultáneamente a través de una única interfaz de comandos.
- 3Flujos de trabajo de agentes programadosConfigura tareas recurrentes para que tus agentes las realicen utilizando la funcionalidad cron.
- 4Extensión de capacidades de los agentesProporciona funcionalidades adicionales a los agentes importando MCP servers existentes.
Escrito a partir del README del proyecto. Cada caso de uso se verifica con una cita del mismo.
Cómo instalar agentproto MCP
Formatos verificados el 10 nov 2026Añadir a CursorAñadir a GooseInstalar agentproto MCP en Claude Code
$ claude mcp add ts -- npx -y @agentproto/app-clientInstalar agentproto MCP en Cursor
~/.cursor/mcp.json
{
"mcpServers": {
"ts": {
"command": "npx",
"args": [
"-y",
"@agentproto/app-client"
]
}
}
}Instalar agentproto MCP en VS Code
.vscode/mcp.json
{
"servers": {
"ts": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@agentproto/app-client"
]
}
}
}Instalar agentproto MCP en VS Code CLI
$ code --add-mcp '{"name":"ts","type":"stdio","command":"npx","args":["-y","@agentproto/app-client"]}'Instalar agentproto MCP en Claude Desktop
claude_desktop_config.json
{
"mcpServers": {
"ts": {
"command": "npx",
"args": [
"-y",
"@agentproto/app-client"
]
}
}
}Instalar agentproto MCP en Codex
$ codex mcp add ts -- npx -y @agentproto/app-clientInstalar agentproto MCP en Codex config.toml
~/.codex/config.toml
[mcp_servers.ts] command = "npx" args = ["-y", "@agentproto/app-client"]
Instalar agentproto MCP en Gemini CLI
$ gemini mcp add -s user ts npx -- -y @agentproto/app-clientInstalar agentproto MCP en Gemini settings.json
~/.gemini/settings.json
{
"mcpServers": {
"ts": {
"command": "npx",
"args": [
"-y",
"@agentproto/app-client"
]
}
}
}Verificaciones automáticas
Ejecutado 12 nov 2026Informe completo →Pasó nuestras verificaciones automáticas. Esto no es una auditoría de seguridad: lee el código y dale al servidor el acceso más limitado que necesite. Cómo funcionan las verificaciones
- Repositorio de origen vinculado y accesibleAprobado
- Licencia de código abierto (OSI)Aprobado
- Commit o lanzamiento en el último añoAprobado
- El nombre del paquete no es similar a un paquete popularAprobado
- El endpoint remoto usa HTTPSNo verificado
- Las herramientas destructivas están etiquetadasNo verificado
- Sin instrucciones ocultas para el modeloAprobado
- No hay avisos críticos en el paquete ni en sus dependenciasNo verificado
README
Ver en GitHubagentproto/ts
Let your coding agents work without you watching.
agentproto runs Claude Code, Codex, Hermes, opencode, Mastra, and any other coding agent in the background, shows them all in one place, and checks each one's work — with your tests or a reviewer model — before anything is committed. No more babysitting terminal windows.
- Run them all the same way. Start, message, watch, and stop any agent with the same commands. Fifteen agents under one lifecycle today.
- Work checked before it lands. Attach a check — your tests, or a stronger model reviewing the change — and it runs each time the agent finishes. Commits wait for the check and your OK, even after you close your laptop.
- Keep the tools you have. It drives the agent CLIs you already use — nothing to rewrite. Agents can even run and check other agents.
- And a full toolbox around them. Author tools as files and serve them, import any MCP server and hand it to any agent, open tunnels, drive browsers, schedule workflows and cron runs.
The daemon is the flagship surface of something bigger: agentproto is an open agentic framework — the AIP specs define every agent component (tools, skills, agents, knowledge, workflows, policies) as a plain file with a declared contract, and this repo is the TypeScript runtime that loads, runs, and projects them into any host (CLI, HTTP, MCP, Mastra, Vercel AI SDK). Files with contracts is what lets any runtime load them — and lets agents read, write, and improve their own components.
Status: 1.32.0. APIs are stabilising; expect minor breaking changes between releases.
Quick start
Or bootstrap from zero in one line:
# macOS / linux
curl -fsSL https://raw.githubusercontent.com/agentproto/ts/main/scripts/bootstrap/install.sh | bash
# Windows 10/11 (PowerShell 5.1+)
irm https://raw.githubusercontent.com/agentproto/ts/main/scripts/bootstrap/install.ps1 | iex
Manual path:
npm i -g @agentproto/cli
agentproto install claude-code # auto-installs the adapter package too
agentproto serve # start the daemon (foreground)
agentproto sessions start claude-code --cwd . --prompt "refactor the payments module"
agentproto sessions --watch
Then gate it: attach a policy to any session's turn-end and stage the commit behind a human ack. See agentproto.sh for the full pitch, or jump straight to agentproto.sh/features for the honest split below.
What's live vs. roadmap
This repo ships two very different things under one name:
- Tier 1 — live, verified hands-on: the daemon, the CLI, fifteen agent adapters (Claude Code, Claude SDK, Codex, Gemini, Grok CLI, Hermes, jcode, opencode, Mastra Code + in-process, Mastra Agent, OpenClaw, browser-as-agent, Antigravity, pi), durable policy gates, nested orchestration with role gating, fan-in monitoring, workflows/cron, and an MCP surface (~175 tools) on the daemon itself.
- Tier 2 — the wider AIP spec family: 72 numbered specs live in
agentproto/agentproto. Most
reference-implementation packages beyond Tier 1 are
0.1.0-alphascaffolding — real schemas, real intent, not yet operational software.
Full breakdown: https://agentproto.sh/features. If you find a Tier 2 claim anywhere that reads as shipped, please file an issue — that split is the contract.
Contributing an adapter
The adapter contract is small: declare models[] and modes[] via an
AIP-45 manifest, implement the lifecycle verbs, and reuse the shared
provider-kit primitives (creds, catalog entry, setup/status tools). Obvious
gaps: Cursor (agent CLI, ACP-capable — not verified end to end), aider,
goose, cline, Continue. See adapters/claude-code
for a complete reference implementation, and look for good first issue
labels in the tracker.
VS Code extension
packages/vscode contains the private agentproto-vscode extension: local
operational views for daemon sessions and permissions, plus commands to manage
agents from the editor. Every Releases
asset is built in CI, never committed to the repo:
- Dev builds — every push to
maintouchingpackages/vscodepublishes a prerelease VSIX taggedvscode-dev-<sha>, for grabbing the bleeding edge. - Official releases — a "Version Packages" PR merge that included
vscode changes publishes a versioned VSIX tagged
vscode-v<version>, same cadence as every other package's release.
Install either through VS Code's Extensions: Install from VSIX... command.
To build one yourself instead:
cd packages/vscode
pnpm package
unzip -t agentproto-vscode-*.vsix
See packages/vscode/README.md for
development and verification commands.
Packages
The repo is organised into five layers, each a sibling subtree under
packages/ or adapters/.
1 — Runtime & daemon
@agentproto/runtime is the long-running gateway that turns a workspace into
a live AIP runtime: session management, an MCP server, an HTTP transport, the
HEARTBEAT autonomy loop, and append-only conversation persistence.
packages/runtime/ @agentproto/runtime Session lifecycle, MCP tools, HTTP API, supervisor / orchestrator
packages/cli/ @agentproto/cli `agentproto` binary — install adapters, run/serve sessions, daemon
packages/mcp-server/ @agentproto/mcp-server Per-doctype CRUD MCP tools (create/load/list/update/resolve/delete)
Key MCP tools exposed by the runtime:
| Tool | Purpose |
|---|---|
agent_start / agent_prompt / agent_output / agent_kill / agent_interrupt |
Spawn, drive, interrupt, and stop long-lived agent-CLI sessions |
message_parent |
Child session reports a result, progress update, or blocker up to its parent supervisor (resolved from the child's recorded parentSessionId; no session id argument) |
agent_set_model / agent_set_effort / agent_set_posture |
Best-effort live switches for a session's config axes (return {applied:false, reason} when the running adapter can't apply them live) |
agent_sessions_list / agent_export |
List agent sessions; export a clean transcript |
conversation_read |
Read the provider-native conversation behind any session (agent-cli or PTY) |
session_list / session_tree / session_usage / session_restart |
Canonical session list, hierarchy, usage, and resume |
session_archive / session_unarchive |
Hide / restore sessions from the canonical list (VS Code "show archived" toggle) |
session_rename / session_set_pinned |
Set or clear a session's user-facing title / label, or toggle its pinned sort flag |
session_flag_status |
Manually correct a session's awaitingInput / awaitingQuestion classification |
worktree_gc |
Plan/apply garbage collection of linked git worktrees |
terminal_start / terminal_input / terminal_output / terminal_kill |
Drive raw PTY sessions |
command_log_tail |
Read the JSONL audit log for command_execute |
policy_attach / policy_cancel / policy_status |
Supervisor completion-policy lifecycle |
workflow_run_file / workflow_start / workflow_status / workflow_cancel |
Run WORKFLOW.md and stage-barrier workflows |
app_install / app_run / app_list / app_status / app_stop |
Install and run @agentproto/app apps as live agent sessions |
app_apply / app_unapply / app_list_applied |
Mount / unmount apps to scopes with dependency validation |
app_data_read / app_data_write / app_data_list / app_data_migrate |
App-scoped durable data plane (read/write/list + legacy migration), anchored at the app's dataDir (default <dir>/data) |
harness_preset_list / harness_preset_create / harness_preset_delete / harness_preset_set_default |
Persisted harness→auth-profile presets |
workspace_brain_query / workspace_brain_status / workspace_brain_ingest |
Per-workspace transcript recall (BM25) |
memory_search / memory_list / memory_read / memory_write / memory_supersede / memory_archive / memory_dismiss |
AIP-72 memory store (memory.root, default ~/.agentproto/memory); anyone proposes, the operator or a supervisor commits; memory-bound agents get a spawn digest in their system prompt |
conversation_export |
Export a daemon transcript to a target adapter's native store (claude-code today) |
llm_endpoint_start / llm_endpoint_stop / llm_endpoint_status / llm_endpoint_set_upstream_link / llm_endpoint_list_links |
Local LLM Endpoint proxy sidecar (requires features.llmEndpoint) |
tunnel_create / tunnel_list / tunnel_stop / tunnel_revoke / tunnel_status |
Public URL tunnels for local ports (private signed link by default; public: true opts out; tunnel_revoke invalidates the link) |
list_provider_presets |
Gateway presets (Anthropic, Moonshot, OpenRouter, Requesty, DeepSeek, xAI) |
harness_list / harness_models / harness_install |
List installed harnesses (agent CLIs), page one harness's models, install one by slug (adapter_list / adapter_models / adapter_install are deprecated aliases) |
harness_capabilities |
Discover what an installed adapter can do on this host |
catalog_models |
Read-only catalog of runnable models + routes (daemon GET /catalog/models) |
list_sandbox_providers / setup_sandbox_provider |
Sandbox provider catalog and credentials |
sandbox_exec |
Run one command in a sandbox box (ephemeral, or an existing sandboxId) and return exit code + stdout/stderr |
list_eval_reporters / setup_eval_reporter |
Eval-reporter backends (e.g. Langfuse) |
browser_navigate / browser_extract_text / browser_click / … / list_browsers |
Browser page tools, forwarded to the Bureau MCP (defaults.browser.proxyImport, default bureau); fetch_page reads a URL without a browser |
mcp_discovered_list / mcp_imported_list / mcp_import / mcp_imported_remove |
Discover and curate imported MCP servers |
mcp_imported_status / mcp_imported_tool_list / mcp_imported_call |
Proxy imported MCP tools |
skill_import / skill_imported_list / skill_imported_remove / skill_resync |
Curate imported skills (a SKILL.md folder is copied into ~/.agentproto/skills/<id>/) for per-session delivery |
permissions_list / permissions_respond |
Held permission requests across permission-hold sessions |
cron_create / cron_list / cron_delete / cron_run |
Recurring daemon jobs (opt-in) |
role_list |
Enumerate spawn-time roles and delegation privileges |
daemon_health |
Cheap in-process liveness probe |
agentproto_session_story / agentproto_terminal |
Per-session story / live PTY MCP App panels |
agentproto_sessions / agentproto_bureau_sessions |
MCP App panel views |
2 — Adapter families
packages/provider-kit/ @agentproto/provider-kit Shared catalog, creds, setup-ledger, MCP tool primitives
packages/provider-presets/ @agentproto/provider-presets Shared gateway preset registry (Anthropic, Moonshot, OpenRouter, Requesty, DeepSeek, xAI, xAI-Anthropic, LLM Endpoint)
adapters/claude-code/ @agentproto/adapter-claude-code AIP-45 adapter for Claude Code
adapters/claude-sdk/ @agentproto/adapter-claude-sdk AIP-45 adapter for Claude SDK (Anthropic/Moonshot/OpenRouter gateway modes)
adapters/codex/ @agentproto/adapter-codex AIP-45 adapter for Codex
adapters/gemini/ @agentproto/adapter-gemini AIP-45 adapter for Gemini
adapters/hermes/ @agentproto/adapter-hermes AIP-45 adapter for Hermes
adapters/opencode/ @agentproto/adapter-opencode AIP-45 adapter for OpenCode
adapters/openclaw/ @agentproto/adapter-openclaw AIP-45 adapter for Openclaw
adapters/antigravity/ @agentproto/adapter-antigravity AIP-45 adapter for Google Antigravity
adapters/mastra-agent/ @agentproto/adapter-mastra-agent First-party agent — AIP-42 AGENT.md run as a live Mastra agent behind ACP
adapters/browser/ @agentproto/adapter-browser Browser / CDP session adapter
All agent-CLI adapters share the provider-kit primitives: makeSetupTool
(single-field or multi-field creds), computeStatus, AdapterCatalogEntry, and
makeCredsStore. mastra-agent is the odd one out: every other adapter wraps
an external agent CLI, whereas mastra-agent is ours end to end — an
AGENT.md run as a live Mastra agent (our loop, our models), spawned by the
daemon like any arm or standalone via agentproto-mastra acp.
3 — Tool authoring
The original three-layer model for tools consumed inside the runtime or projected into a host framework: contract → implementation → bundle.
packages/tool/ @agentproto/tool AIP-14 defineTool, ToolHandle, validators
packages/driver/ @agentproto/driver AIP-30 implementTool, defineDriver, runTool, resolver
packages/driver/cli/ @agentproto/driver-cli AIP-29 CLI/subprocess transport
packages/driver/http/ @agentproto/driver-http HTTP transport
packages/driver/mcp/ @agentproto/driver-mcp MCP server transport
packages/driver/sdk/ @agentproto/driver-sdk SDK / dynamic-import transport
import { defineTool } from "@agentproto/tool"
import { implementTool, defineDriver } from "@agentproto/driver"
import { z } from "zod"
const greetTool = defineTool({
id: "greet",
description: "Greets a name in the bound locale.",
inputSchema: z.object({ name: z.string() }),
outputSchema: z.object({ greeting: z.string() }),
contextSchema: z.object({ locale: z.enum(["en", "fr"]) }),
})
const greetBuiltin = implementTool(greetTool, async ({ input, context }) => ({
greeting: context.locale === "fr" ? `Bonjour ${input.name}` : `Hello ${input.name}`,
}))
const greetDriver = defineDriver({
id: "greet-builtin",
name: "Greet (builtin)",
description: "In-process greeter.",
kind: "builtin",
implements: [{ tool: "greet", version: "0.1.0" }],
implementations: [greetBuiltin],
})
Re-express any ToolImplementation in a host framework's tool shape:
adapters/ai-sdk/ @agentproto/adapter-ai-sdk Vercel AI SDK Tool projection
adapters/mastra/ @agentproto/adapter-mastra Mastra createTool projection
packages/bridge/ @agentproto/bridge AIP-42 AGENT.md → Mastra Agent
import { toAiSdkTool } from "@agentproto/adapter-ai-sdk"
import { toMastraTool } from "@agentproto/adapter-mastra"
const aiSdkTool = toAiSdkTool(greetBuiltin, { context: { locale: "en" } })
const mastraTool = toMastraTool(greetBuiltin, { source: { context: { locale: "en" } } })
4 — Knowledge & workflow
packages/corpus/ @agentproto/corpus AIP-10/12/18 knowledge composition (pure, no I/O)
packages/corpus-cli/ @agentproto/corpus-cli `corpus` binary — validate, lint, operate a corpus workspace
packages/workflow-runtime/ @agentproto/workflow-runtime AIP-15 typed step-walker (tool/map/branch/loop/transform)
packages/agent-runtime/ @agentproto/agent-runtime MultiAgentRuntime kernel with swappable ports
@agentproto/corpus composes AIP-10 KNOWLEDGE, AIP-12 PLAYBOOK, AIP-18
COLLECTION, AIP-9 OPERATOR, AIP-15 WORKFLOW, and AIP-41 ROUTINE into an
autonomous knowledge-improvement system. Pure: zero runtime, zero filesystem,
zero HTTP — all I/O via injected ports.
5 — Platform: auth, sandbox, secrets, telemetry
packages/auth/ @agentproto/auth Pluggable CredentialStore + device-code (RFC 8628) auth flow
packages/sandbox/ @agentproto/sandbox agent_start.sandbox: boot/reconnect/pause an isolated box
packages/secrets/ @agentproto/secrets Broker-resolved provision auth headers, mcp-header exposure
packages/processor/ @agentproto/processor Dependency-free Redactor port for transcript/log scrubbing
packages/telemetry/ @agentproto/telemetry Telemetry port + OTel adapter
packages/eval/ @agentproto/eval Scorers + runEval, including an LLM-judge scorer
Specifications
The AIP markdown specs live in agentproto/agentproto. Browse rendered versions at https://agentproto.sh/docs.
Key specs implemented here:
| AIP | Spec | Package |
|---|---|---|
| AIP-9 | OPERATOR.md | @agentproto/operator |
| AIP-10 | KNOWLEDGE.md | @agentproto/corpus |
| AIP-12 | PLAYBOOK.md | @agentproto/corpus |
| AIP-14 | TOOL.md | @agentproto/tool |
| AIP-15 | WORKFLOW.md | @agentproto/workflow, @agentproto/workflow-runtime |
| AIP-17 | RUNNER.md | @agentproto/runner |
| AIP-18 | COLLECTION.md | @agentproto/corpus |
| AIP-29 | CLI.md | @agentproto/driver-cli |
| AIP-30 | DRIVER.md | @agentproto/driver |
| AIP-36 | SANDBOX.md | @agentproto/sandbox |
| AIP-40 | EXTENSION.md | @agentproto/extension |
| AIP-41 | ROUTINE.md | @agentproto/routine |
| AIP-42 | AGENT.md | @agentproto/agent, @agentproto/bridge |
| AIP-45 | Agent CLI adapter | adapters/{claude-code,claude-sdk,hermes,opencode,codex,openclaw,mastra-agent,antigravity,jcode} |
| AIP-57 | Model resolution primitive | @agentproto/model-routing |
| AIP-62 | REVIEW.md | @agentproto/review |
| AIP-65 | DECISION.md | @agentproto/runtime |
| AIP-66 | Managed cloud agents (cloud:<vendor> target) |
@agentproto/runtime, adapters/claude-code-cloud |
Building from source
pnpm install
pnpm -r build
pnpm -r test
License
Apache-2.0 — see LICENSE. Copyright 2026 Jeremy André and agentproto contributors.
Contributing
Spec evolution happens at agentproto/agentproto. This repo tracks AIP progression — implementations follow as AIPs reach Review/Final status. PRs welcome for runtime bugfixes, perf, and adapter coverage — see "Contributing an adapter" above.
Preguntas sobre agentproto MCP
¿Cómo agrego agentproto MCP a Claude Code?
Ejecuta claude mcp add ts -- npx -y @agentproto/app-client en tu terminal. Añade --scope user para que esté disponible en todos los proyectos.
¿Cómo agrego agentproto MCP a Cursor?
Abre ~/.cursor/mcp.json y añade el servidor en mcpServers, usando la configuración de Cursor que se muestra en la sección de instalación de arriba.
¿Qué agentes de programación puedo ejecutar con agentproto?
Puedes ejecutar Claude Code, Codex, Hermes, opencode, Mastra y otros quince agentes bajo un mismo ciclo de vida.
¿Cómo garantiza agentproto la calidad del código?
Permite adjuntar verificaciones, como tus propios tests o un modelo revisor más potente, para que se ejecuten cada vez que un agente termina antes de realizar cualquier commit.
¿Puedo usar mis MCP servers actuales con este entorno de ejecución?
Sí, puedes importar cualquier MCP server y entregárselo a cualquier agente que se esté ejecutando dentro del framework.
¿Cómo instalo agentproto en macOS o Linux?
Puedes realizar la instalación inicial usando un único comando curl proporcionado en la documentación.