Усильте агента
Собственная команда издателя. Не эндпоинт PlugMCP.
Host a copy with our keys and logs.
npx -y @intentface/[email protected]У Claude Code нет ссылки для установки локальной команды. Скопируйте команду ниже и выполните её в терминале.
claude mcp add intentface-latch-mcp -- npx -y @intentface/latch-mcp@0.23.0Выполните в терминале.
{ "mcpServers": { "intentface-latch-mcp": { "command": "npx", "args": [ "-y", "@intentface/[email protected]" ] } }}claude_desktop_config.json
Удалённый URL или команда на вашем компьютере? Чем различаются два способа установки
Запустить на 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.
ЗапускОт издателя
The reusable backend for building, persisting, and operating AI agents — built on AI SDK v7, designed to embed in your stack and grow with you.
Latch is the connective tissue you'd otherwise write by hand around the AI SDK: message persistence, multi-tenant context, tools & MCP, a credential vault, durability (resume-after-crash), scheduling, usage/cost tracking, and human-in-the-loop approvals — as , not an all-or-nothing framework.
Latch MCP host — connect to MCP servers as tools, with a per-tenant SSRF allowlist and vault-brokered auth.
It starts as thin ergonomics over the AI SDK (define an agent, stream it — runs on any serverless backend, zero infrastructure). When the product needs more, you turn on a database, then durability, then connections — each step additive, never a rewrite or a data migration. A weekend prototype and a multi-tenant production platform run the same core.
Why it exists, in one line: stop rebuilding the same agent backend for every product. See
PHILOSOPHY.mdfor the why and the docs for the how.
defineAgent / defineContext: typed, lazy, engine-agnostic config over ToolLoopAgent. Your tenant shape flows into agents, tools, and hooks with no any.chats / messages / runs / usage via a single StorageAdapter (Drizzle: SQLite & Postgres today, same contract). AppMessage is a typed UIMessage, so all the stock SDK stream/persistence helpers work unchanged.runtime.cron() fires due schedules and reaps-and-resumes stalled runs; drive it from an in-process interval loop or a serverless POST /cron/run route.awaiting_input), the decision round-trips as message state, then continues. No suspension machinery.writer for streaming structured/transient UI artifacts (status, citations, markers), available in the turn and to tools, with full user/run context.visibility, sendToModel). Internal context reaches the model without leaking to the user.Pricing seam.Principal / ContextResolver seam; tenant isolation enforced at the storage layer (IDOR-proof by default).MCP, vault, approvals, scheduling, and rate-limiting are independent opt-ins at any tier.
import { defineAgent } from "@intentface/latch-core";
import { createSqliteAdapter, migrate, schema } from "@intentface/latch-drizzle";
import { createLatchHonoApp } from "@intentface/latch-server/hono";
import { createClient } from "@libsql/client";
import { drizzle } from "drizzle-orm/libsql";
import { serve } from "@hono/node-server";
const client = createClient({ url: "file:./latch.db" });
await migrate(client);
const { app } = await createLatchHonoApp({
storage: createSqliteAdapter(drizzle(client, { schema }), { owner: (p) => [p.orgId] }),
// BYO auth: request → your Principal, null → 401. Replace the header lookup
// with your session — trusting a caller-supplied header is for local demos only.
resolveContext: async (req) => {
const org = req.headers.get("x-org");
return org ? { orgId: org } : null;
},
// Agents pick their model from the models.dev catalog (whatever you have keys for).
agents: (models) => ({
assistant: defineAgent({
model: models.modelFor("claude-sonnet-4-6"),
instructions: "You are a concise, helpful assistant.",
defaultTools: true, // web_fetch, askUser, schedule tools
}),
}),
});
serve({ fetch: app.fetch, port: 8787 });
That's the whole backend: durability (resume-after-crash), an in-process cron (or POST /cron/run on serverless), pricing + reasoning + prompt-caching hooks from the catalog, the harness tools, and the HTTP surface. App-level options (models, principalKey, cronIntervalMs) sit on the config itself; every runtime and handler default is overridable via runtime / handler. Prefer to mount into your own framework? const { handler, runtime, models, stop } = await createLatchApp({...}) gives you the bare Web handler; createLatchHandler() / createRuntime() are still there when you want to wire pieces yourself.
curl -N http://localhost:8787/agents/assistant/chat-1 \
-H 'content-type: application/json' -H 'x-org: org_a' \
-d '{"text":"In one sentence, what is Latch?"}'
A runnable, durable server with the reaper + MCP-OAuth routes lives in apps/example/src/serve.ts.
Install the Latch skill so Claude Code, Cursor, Codex and other agents build with Latch the way it's meant to be used: recipes for the common tasks, the rules that break quietly, and the docs for your version.
npx skills add https://intentface-latch-docs.vercel.app
More in Build with AI, including llms.txt and how to pin the skill to an older release.
createRuntime); everything (routes, cron, tests) calls the runtime, never the seams directly. Stateless and serverless-safe — all per-run state lives in the DB. Operations: handleChat, loadHistory, resume, sweep, tick, applyApproval.AppMessage — the stored unit and source of truth: a typed UIMessage<AppMetadata, …>. Two axes on the metadata (visibility, sendToModel) drive the client and model projections (toClientMessages / toModelMessages). Execution facts (usage, cost, model, finishReason) ride in metadata — no separate "steps" table.StorageAdapter, durability engine, Scheduler, Vault/SecretStore, MCP host, Pricing, ContextResolver. Sensible defaults, swappable without touching agent code.tick()/sweep() reclaims dead ones; fencing tokens stop a zombie worker from corrupting reassigned state.@intentface/latch-core runtime, AppMessage + projections, durability, vault,
scheduler, pricing, compaction, subagents, the seams.
deps: zod (ai >= 7 is a peer)
/models: models.dev catalog + provider hooks
/harness: bash/read/write/glob/grep over the sandbox
seam, web_fetch, askUser, schedule tools
@intentface/latch-drizzle StorageAdapter + SecretStore + limit/memory/agent
stores (SQLite & Postgres) + migrations
@intentface/latch-server one mountable Web handler (chat, approvals, lists,
schedules, connection OAuth, cron) — Hono in /hono
@intentface/latch-mcp MCP host: SSRF allowlist, vault auth, OAuth + DCR
@intentface/latch-openapi tools from an OpenAPI spec, same connection model
@intentface/latch-memory agent memory: compiled index per turn, search/save
tools, background extraction & consolidation
@intentface/latch-channels Slack, Telegram, WhatsApp on one turn kernel
@intentface/latch-agent-builder agent records as data + the builder agent
@intentface/latch-otel tracing over OpenTelemetry (Langfuse preset)
@intentface/latch-net SSRF-safe fetch for your own code
apps/example runnable example + the smoke-test suite (not published)
Minimal install = core + drizzle (+ server if standalone). Everything else is opt-in. Packages publish to npm as @intentface/latch-*, every package at the same version. See RELEASING.md.
Working today (exercised by 17 smoke suites, both SQLite & Postgres): agents & context, persistence, streaming + Hono routes, tools, MCP host + OAuth, vault, durability (lease/heartbeat/reaper/fencing/resume/checkpoint), scheduler, tool approvals, writer/data parts, message projections, usage & cost.
Working today also includes memory (@intentface/latch-memory): agents that declare memory get a compiled index injected per turn, memory_search/memory_save tools, and background extraction + consolidation via the cron sweep. Scopes: agent-user | agent-org | user. Caveat: on an org-shared connection, per-user separation is a folder convention — anyone with workspace access can read the _memory/** files.
Also working: subagents (spawn_agent, each in its own persisted thread; approvals surface to the parent), compaction (runtime.compactChat, projection-only — the record is never rewritten), a sandbox seam with the harness tools, code execution in a QuickJS engine, OpenAPI tools, per org/user/agent limits, agents as data, and the models.dev catalog for pricing, reasoning and prompt caching.
Not built: files & attachments as a seam (FileStore), MCP elicitation, a CLI, and observability beyond OpenTelemetry tracing (latch-otel).
Pre-1.0 on purpose, on AI SDK v7 (ai >= 7 as a peer). Public API may still move; releases are patch-level until it settles.
pnpm install
pnpm build # turbo: build all packages
pnpm typecheck # turbo: typecheck all
# See features in action (in-memory, no API key — uses a mock model):
pnpm --filter @intentface/latch-example smoke # T1 persistence
pnpm --filter @intentface/latch-example smoke:durability # lease/heartbeat/reaper/fencing
pnpm --filter @intentface/latch-example smoke:resume # crash → reclaim → resume
pnpm --filter @intentface/latch-example smoke:approval # HITL gate → approve/deny
pnpm --filter @intentface/latch-example smoke:vault # envelope-encrypted secrets
pnpm --filter @intentface/latch-example smoke:mcp-integration # live MCP tool through the host
# …and more (tools, scheduler, oauth, writer, projections, cost)
# Real model server (needs apps/example/.env — see .env.example):
pnpm --filter @intentface/latch-example serve
Monorepo: pnpm + Turborepo. Dev uses a development export condition so editing a package's src is reflected without a rebuild.
Apache-2.0. Releases up to 0.22.0 were published under MIT.
Latch MCP host — connect to MCP servers as tools, with a per-tenant SSRF allowlist and vault-brokered auth.
{ "mcpServers": { "intentface-latch-mcp": { "command": "npx", "args": [ "-y", "@intentface/[email protected]" ] } }}Инструменты
Списка инструментов пока нет. У удалённых серверов он появляется после первой проверки состояния.
FAQ
Скопируйте на этой странице конфигурацию stdio для Cursor, Claude Desktop, Claude Code или VS Code. Она использует установку издателя, а не прокси PlugMCP.
В этой записи не указано обязательных переменных окружения.
@intentface/latch работает локально через stdio.
Последняя проверка: 2026-11-13. Latch MCP host — connect to MCP servers as tools, with a per-tenant SSRF allowlist and vault-brokered auth.