OBJECTSTACK · AI-NATIVE APPLICATION PLATFORM

Low-code does not remove code. It turns code into an operable business model.

ObjectStack connects development and operations through protocol-defined metadata. Developers define objects, views, flows, permissions, and integrations precisely; teams configure, execute, and analyze in Studio and Console. The Bitdata AI plugin brings governed agents into the same runtime.

01
CODE-DEFINED LOW-CODE

Define the application in code. Keep low-code speed for daily work.

TypeScript metadata describes objects, fields, relationships, views, pages, navigation, actions, flows, approvals, permissions, reports, and translations. ObjectStack validates the build and renders it in Studio and Console.

  • Protocol schemas are executable contracts
  • Review every business-model change in Git
  • One metadata model drives UI, API, and automation
02
DATA WITHOUT SILOS

Bring external data in—and bring it under business governance.

Native CSV/XLSX import provides mapping, server preflight, background jobs, failure evidence, and bounded undo. REST, OpenAPI, and domain connectors handle continuing synchronization. Permissions, hooks, validation, and audit apply as data enters objects.

  • Background import path up to 50,000 rows
  • Failed rows and job history remain traceable
  • Every write passes object-level governance
03
MCP-NATIVE OPERATIONS

MCP connects real business services, not just chat demos.

The ObjectStack MCP connector brings trusted services into the automation and action model. Hosts explicitly allow transports and commands while execution continues to honor identity, permissions, RLS, approval, and audit.

  • MCP, REST, and OpenAPI share a connector model
  • stdio is denied until explicitly trusted by the host
  • Model prose cannot turn a connector failure into success
04
IN-APP AGENTS

Agents converse inside the application—and stay within its rules.

@bitdata/ai-plugin provides an installable streaming runtime, Ask Agent, skills, tools, knowledge retrieval, and approval-aware actions. Extensions use public registries and the ai:ready hook instead of private source imports.

  • Explicit Agent → Skill → Tool composition
  • Caller identity and environment follow tool execution
  • High-risk actions enter human approval
Rules apply the moment external data enters

From files or services to trusted business objects.

01

Source

CSV · XLSX · REST · OpenAPI · MCP

02

Shape

Map · type · relate · preflight

03

Govern

Hook · validate · permission · RLS

04

Operate

View · flow · report · agent

The intelligence layer does not create a second authorization system

Models reason. The business runtime owns the facts.

Agents see only skills and tools registered in the active kernel and available to the caller. Reads come from permission-aware queries; actions come from real tool results. Risky operations re-check authorization and target state after approval.

AgentSkillTool
Ask AgentObjectStack business context
LIVE

Analyze quote discounts and win rate over the last 30 days, then explain the outlier accounts.

schema_readerdata_exploreranalytics_query
Current environment, user permissions, and object row policies applied

Quotes discounted over 15% gained 6.2 points in win rate while margin fell 4.8 points. Five outlier accounts were identified; no write operation was executed.

TRUST LAYER

The same person exists from page click to tool execution.

01

Identity and environment

Authenticated user, positions, and environment follow data, knowledge, automation, and action calls.

02

Least privilege

Missing trusted identity fails closed; available tools change with kernel services and caller permissions.

03

Human approval

Destructive or high-risk actions are not directly executable, and approval never bypasses underlying access checks.

04

Audit and real outcomes

Model prose is not success. Only tool results and business audit facts confirm that work completed.

BUILT ON OBJECTSTACK

Choose a business domain and see the application.

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