Kodlama ajanlarını arka planda çalıştıran ve değişiklikleri commit etmeden önce çalışmalarını doğrulayan TypeScript tabanlı açık kaynaklı bir agentic runtime.
Ayrıca bilinen adı agentproto/ts, @agentproto/app-client, @agentproto/harness, @agentproto/mcp-server, @agentproto/plugin-local-browser
- Yıldızlar
- 9
- Araçlar
- —
- İndirmeler, 30 gün
- 28.785
- En son sürüm
- —
- Son commit
- 14 Kas 2026
- Lisans
- Apache-2.0
agentproto MCP nedir?
agentproto bir MCP sunucusudur. Kodlama ajanlarını arka planda çalıştıran ve değişiklikleri commit etmeden önce çalışmalarını doğrulayan TypeScript tabanlı açık kaynaklı bir agentic runtime.
Özet, projenin README dosyasından oluşturuldu
agentproto MCP sunucusu hakkında
Bu TypeScript runtime, kodlama ajanlarını sürekli manuel denetim gerektirmeden yönetmek için bir arka plan ortamı sağlar. Claude Code, Codex, Hermes ve Mastra gibi mevcut çeşitli agent CLI araçlarını birleşik bir yaşam döngüsü üzerinden çalıştırabilen merkezi bir daemon görevi görür. Geliştiriciler, tek bir arayüz üzerinden birden fazla ajanı başlatabilir, onlara mesaj gönderebilir ve izleyebilir; böylece işler devam ederken terminal başında durmak zorunda kalmazlar.
En önemli özelliklerden biri, ajan eylemlerini otomatik kontrollerle sınırlandırabilme yeteneğidir. Herhangi bir kod commit edilmeden önce değişiklikleri doğrulamak için kendi test setlerinizi veya daha güçlü bir inceleyici modeli sisteme bağlayabilirsiniz. Sistem; ajanların diğer ajanları yönettiği iç içe geçmiş orkestrasyonlar, zamanlanmış cron işleri ve tarayıcı otomasyonu dahil olmak üzere karmaşık iş akışlarını destekler. MCP ekosistemiyle entegre çalışarak, diğer server'lardaki araçları doğrudan ajan oturumlarınıza içe aktarmanıza ve proxy üzerinden kullanmanıza olanak tanır.
Kullanmak için CLI'ı kurmanız ve daemon'ı yerel olarak başlatmanız yeterlidir. Kullanmak istediğiniz ajanlar için belirli adapter paketlerine ihtiyaç duyulur. Runtime; oturum yönetimi, bellek depolama ve sandbox yürütme dahil olmak üzere MCP aracılığıyla geniş bir araç yelpazesi sunarak agentic geliştirme için kapsamlı bir framework sağlar.
Neler yapabilirsiniz
- 1Otomatik kod doğrulamaBir modülü refactor etmesi için bir kodlama ajanı çalıştırın ve commit etmeden önce testlerden geçtiğinden emin olun.
- 2Arka plan ajan orkestrasyonuBirden fazla kodlama ajanını tek bir komut arayüzü üzerinden eş zamanlı olarak yönetin.
- 3Zamanlanmış ajan iş akışlarıCron işlevini kullanarak ajanlarınızın gerçekleştirmesi gereken tekrarlayan görevler ayarlayın.
- 4Ajan yeteneklerini genişletmeMevcut MCP server yapılarını içe aktararak ajanlara ek işlevsellik sağlayın.
Projenin README dosyasından alınmıştır. Her kullanım durumu, oradaki bir alıntı ile kontrol edilir.
agentproto MCP nasıl yüklenir
Biçimler 10 Kas 2026 tarihinde doğrulandıCursor'a ekleGoose'a ekleagentproto MCP'yi Claude Code içine yükleyin
$ claude mcp add ts -- npx -y @agentproto/app-clientagentproto MCP'yi Cursor içine yükleyin
~/.cursor/mcp.json
{
"mcpServers": {
"ts": {
"command": "npx",
"args": [
"-y",
"@agentproto/app-client"
]
}
}
}agentproto MCP'yi VS Code içine yükleyin
.vscode/mcp.json
{
"servers": {
"ts": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@agentproto/app-client"
]
}
}
}agentproto MCP'yi VS Code CLI içine yükleyin
$ code --add-mcp '{"name":"ts","type":"stdio","command":"npx","args":["-y","@agentproto/app-client"]}'agentproto MCP'yi Claude Desktop içine yükleyin
claude_desktop_config.json
{
"mcpServers": {
"ts": {
"command": "npx",
"args": [
"-y",
"@agentproto/app-client"
]
}
}
}agentproto MCP'yi Codex içine yükleyin
$ codex mcp add ts -- npx -y @agentproto/app-clientagentproto MCP'yi Codex config.toml içine yükleyin
~/.codex/config.toml
[mcp_servers.ts] command = "npx" args = ["-y", "@agentproto/app-client"]
agentproto MCP'yi Gemini CLI içine yükleyin
$ gemini mcp add -s user ts npx -- -y @agentproto/app-clientagentproto MCP'yi Gemini settings.json içine yükleyin
~/.gemini/settings.json
{
"mcpServers": {
"ts": {
"command": "npx",
"args": [
"-y",
"@agentproto/app-client"
]
}
}
}Otomatik kontroller
Çalıştırıldı 12 Kas 2026Tam rapor →Otomatik kontrollerimizden geçti. Bu bir güvenlik denetimi değildir: kodu okuyun ve sunucuya ihtiyaç duyduğu en dar erişimi verin. Kontroller nasıl çalışır
- Kaynak deposu bağlantılı ve erişilebilirGeçti
- Açık kaynak lisansı (OSI)Geçti
- Son bir yıl içinde commit veya sürüm mevcutGeçti
- Paket adı popüler bir pakete yakın değilGeçti
- Uzak uç nokta HTTPS kullanıyorKontrol edilmedi
- Yıkıcı araçlar etiketlenmişKontrol edilmedi
- Modele yönelik gizli talimat yokGeçti
- Pakette veya bağımlılıklarında kritik uyarı yokKontrol edilmedi
agentproto/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.
agentproto MCP soruları
agentproto MCP'yi Claude Code'a nasıl eklerim?
Terminalinizde claude mcp add ts -- npx -y @agentproto/app-client komutunu çalıştırın. Her projede kullanılabilir olması için --scope user ekleyin.
agentproto MCP'yi Cursor'a nasıl eklerim?
~/.cursor/mcp.json dosyasını açın ve yukarıdaki yükleme bölümünde gösterilen Cursor yapılandırmasını kullanarak sunucuyu mcpServers altına ekleyin.
agentproto ile hangi kodlama ajanlarını çalıştırabilirim?
Claude Code, Codex, Hermes, opencode, Mastra ve diğer on beş ajanı tek bir yaşam döngüsü altında çalıştırabilirsiniz.
agentproto kod kalitesini nasıl sağlar?
Herhangi bir commit yapılmadan önce, bir ajanın işi bittiğinde kendi testleriniz veya daha güçlü bir inceleyici model gibi kontrolleri çalıştırmanıza olanak tanır.
Mevcut MCP server yapılandırmalarımı bu runtime ile kullanabilir miyim?
Evet, herhangi bir MCP server'ı içe aktarabilir ve framework içinde çalışan herhangi bir ajana devredebilirsiniz.
agentproto'yu macOS veya Linux üzerine nasıl kurabilirim?
Dokümantasyonda sağlanan tek bir curl komutu ile kurulumu başlatabilirsiniz.