The Framework for Building Agentic Platforms

Build Production-Grade Agentic Platforms.

AgentPlat is an open framework for building scalable, auditable and enterprise-ready agentic systems. It gives teams the runtime, workflows, memory, controls and integrations needed to turn agents into durable software infrastructure.

Get Started GitHub View Architecture

Install framework npm install @agentplat/framework

Auditable by design Every run, tool call, approval and outcome becomes traceable.

Runtime first Agents execute inside managed lifecycle, identity and policy boundaries.

Provider neutral Connect models, tools and infrastructure without hard-coding the platform.

Fundamental Layers

A framework organized around the platform stack.

AgentPlat is not a conversational shell or prompt playground. It is the connective tissue between applications, humans, workflows, memory, models and infrastructure.

Applications

Product surfaces, customer workflows and internal tools built on top of the platform.

Human Interface

Approvals, escalations, collaboration, review queues and operational handoffs.

Workflow Engine

Durable orchestration for long-running tasks, retries, branching and policy gates.

Memory

Scoped context, state, artifacts and retrieval boundaries for each tenant or process.

Agent Runtime

Lifecycle, tools, identity, limits, execution state and deterministic audit capture.

Model Providers

Provider-neutral model access across inference, embeddings, routing and evaluation.

Infrastructure

Cloud services, storage, queues, secrets, observability and deployment primitives.

Why Another Framework

Because agent demos are not agentic platforms.

The hard part is not calling a model. The hard part is operating agentic systems with repeatability, governance, human control and clear production boundaries.

Typical agent framework

demo layer

-Focuses on chains, prompts and local prototypes.
-Leaves lifecycle, identity and audit to the application team.
-Assumes human review and enterprise controls are add-ons.
-Optimizes for agent assembly more than platform operations.

AgentPlat

platform layer

+Starts with runtime, workflows, policy and observability.
+Models every action as part of a governed execution trace.
+Builds human collaboration directly into the system boundary.
+Designed for multi-tenant, enterprise-ready agentic products.

Everything You Need

Core capabilities for serious agentic systems.

The framework gives product and platform teams the building blocks they would otherwise have to re-create for every agentic product.

Runtime

Managed execution, state and agent lifecycle controls.

Lifecycle

Creation, suspension, retry, handoff and completion semantics.

Memory

Scoped context, artifacts, retrieval and tenant boundaries.

Workflows

Durable orchestration for complex business processes.

MCP and Tools

Standardized access to tools, services and external systems.

Audit

Traceable runs, decisions, tool calls, approvals and outputs.

Events

Streams and hooks for integrations, alerts and analytics.

Human Collaboration

Review queues, escalations, approvals and shared accountability.

Identity

Users, tenants, agents, roles, permissions and execution scopes.

Observability

Metrics, traces, costs, quality signals and runtime health.

Deployment

Environment-aware packaging for platform and product teams.

Policy

Limits, approvals, data rules and operational guardrails.

Used By

Companies that have built with AgentPlat.

AgentPlat has supported enterprise workflows, vertical products and customer-facing platforms across finance, commerce, healthcare and legal operations.

Santander

El Pais

Trafilea

Pooshlo

Kidney Connective

NoFirmes.com

Architecture

A production control plane for agentic software.

Use AgentPlat as the shared layer between application teams and infrastructure teams. Products keep moving fast while platform controls stay consistent.

Product Surfaces

Web AppsAdminAPIsEmbeds

Human Layer

ReviewApprovalsEscalationsInbox

AgentPlat Core

RuntimeWorkflow EngineMemoryPolicyAudit

Integration Layer

MCPToolsEventsConnectors

Foundation

ModelsQueuesStorageSecretsTelemetry

platform.ts typed runtime

import { platform, workflow } from "@agentplat/framework";

const review = workflow("claims-review")
  .memory({ scope: "tenant" })
  .policy({ approval: "required" })
  .tools(["crm", "email", "policy-store"])
  .audit({ trace: "full" });

platform.deploy(review);
// Build the product. Keep the platform governed.

Enterprise Ready

Designed for teams that cannot ship opaque autonomy.

Agentic systems need the same seriousness as any other critical infrastructure: identity, permissioning, reliability, auditability and operational ownership from the beginning.

1
Accountable executionEvery agent run is connected to users, tenants, policies and review paths.
2
Controlled autonomyBudgets, approvals, scopes and tool limits sit inside the runtime boundary.
3
Operational clarityTeams see costs, failures, pending reviews, quality signals and traces in one place.
4
Platform leverageBuild many agentic products on one shared framework instead of one-off stacks.

Build Anything

A foundation for agentic products, not a single app.

AgentPlat is broad enough for internal automation, customer-facing workflows and vertical software products that need reliable agentic behavior.

Operations platforms

Coordinate agents that process requests, escalate exceptions and keep humans accountable.

Vertical SaaS

Add agentic workflows to finance, legal, healthcare, logistics or support products.

Enterprise automation

Run governed automation across existing tools without losing traceability or policy control.

Principles

Built like infrastructure.

AgentPlat should feel closer to Kubernetes, Temporal or Terraform than to a prompt demo. It is a framework for teams building the platform layer of agentic software.

A
Explicit over magicalRuntime decisions, tools, memory and policies are visible parts of the system.
B
Composable over monolithicUse the pieces you need while keeping a coherent control plane.
C
Auditable over opaqueProduction autonomy requires traces that people and systems can inspect.
D
Enterprise from day oneSecurity, identity, review and observability are core architecture concerns.

Contact

Talk to the team building AgentPlat.

Share what you are building, the platform constraints you have and the kind of agentic system you want to operate.

Start Building

Build the platform layer behind your agents.

Use AgentPlat to move from isolated agent experiments to durable, governed and enterprise-ready agentic systems.

Read the Docs Open Platform