NocoBase Headless Data Engine & Dynamic Schema Driver

@nocobase/dsh-driver · v1.0.4

A headless relational database and dynamic schema middleware for DeepSeek Harness agents. Integrates NocoBase metadata APIs to automate database modeling, dynamic CRUD synthesis, and RBAC control.

Headless-DBNocoBaseSchema-EngineDynamic-API
GitHub Stars
32 K+
+12.4% this month
Monthly Downloads
135 K+
Monthly registry pulls
Reach Score
98.3/ 100
Top Tier Ecosystem
Runtime
Cordis v3+
Node 18+ / Bun / Deno

Installation & Integration

CLI one-click launch, package managers, and Cordis integration

bash
manager:
$ pnpm add @nocobase/dsh-driver

Architecture

NocoBase Engine equips DeepSeek Harness agents with full-lifecycle database modeling autonomy. Building business automation systems requires not just logic scripting, but rigorous data schemas, relationship mapping, and access controls. This plugin integrates NocoBase's headless metadata architecture directly into Cordis. Agents declare data collections, configure complex foreign-key associations, and establish field-level validation rules via simple API calls, automatically exposing secure REST and GraphQL endpoints without raw SQL hazards.

Architectural Principles & Constraints

01
Strict Type Isolation

Guaranteed by TypeScript compile-time contracts, inter-plugin event bus calls enjoy zero-drift safety.

02
Sub-Millisecond Hot Reload

Supports dynamic runtime mounting and graceful unloading without restarting the primary host process.

03
Deterministic State Machine

Embeds multi-phase execution lifecycle guards, preventing context loss during long-horizon reasoning.

04
Zero Native Build Dependencies

Designed for lightweight cross-platform environments, booting instantly across Node.js, Bun, and Deno.

Core Features

01
Zero-Downtime Dynamic DDL: Add columns and modify relationships on live production databases
02
Instant REST/GraphQL Endpoints: Generates fully typed API endpoints immediately upon creation
03
Strict Validation Constraints: Enforces regex rules, unique constraints, and cascades automatically
04
Fine-Grained RBAC Security: Enforces field-level access control lists and comprehensive audit logs

Core Workflow

01

Schema Semantic Inference

Infers relational tables, foreign keys, and indexes from natural language requirements.

02

Dynamic Migration Execution

Applies non-blocking DDL updates via NocoBase schema engines in real time.

03

API Synthesis & Mapping

Instantly binds authenticated CRUD routes, filters, and OpenAPI contracts.

04

Operation & Constraint Check

Executes strongly typed queries while enforcing business constraints.

Configuration Parameters Reference (YAML / JSON)

ParameterTypeDefaultDescription
apiEndpointstringhttp://localhost:13000/apiTarget NocoBase server instance API URL
autoSyncSchemabooleantrueAutomatically apply schema changes to database
defaultDatabasestringpostgresUnderlying relational database driver

Use Cases

Enterprise Production Agent

Relies on microkernel lifecycle guards and fault-tolerant state machines for continuous reliability.

SWE-bench Benchmark Evaluation

Native integration with SWE-bench workflows, automatically capturing diffs and verification metrics.

Autonomous Code Refactoring

Separates reasoning from tool actions to independently locate and refactor multi-file codebases.

Cross-Tool Workflow Automation

Safely orchestrates events across sandboxes to seamlessly link enterprise developer tooling.

Best Practices

01
Sandbox Permission Guard

Strictly isolate sub-process calls and network scope; deploy within Docker containers in production.

02
Exponential Backoff Retries

Configure adaptive exponential retries with strict timeouts to mitigate upstream model rate limits.

03
Session State Checkpointing

Persist state machine snapshots to survive hardware interruptions and resume instantly without loss.

04
Full Trajectory Audit Logs

Enable full trace logging, aggregating reasoning thought streams and tool I/O into your observability hub.

FAQ

Q1:How to handle timeouts in long-running autonomous tasks?

Increase the timeout parameter inside your YAML configuration and dispatch periodic heartbeat signals across the Cordis event bus. For long-running tool execution and model reasoning, configure persistent session snapshotting so suspended tasks can safely resume their exact context after interruptions, preventing the kernel from recycling active agent sessions prematurely.

Q2:How to capture and stream the model reasoning thought process?

The harness runtime natively provides end-to-end streaming hooks while its state machine automatically intercepts and strips <think> reasoning tags from model responses. Subscribe directly to the onThink event listener to consume live reasoning token streams in real-time, delivering typewriter animation to the user interface while persisting full trajectories for audit compliance.

Q3:How to resolve dependency conflicts across multiple plugins?

Cordis microkernel uses directed acyclic graph topological sorting to dynamically resolve plugin dependencies. When shared services or runtime versions conflict, assign distinct isolated namespaces at the application entrypoint. Leveraging context injection alongside lazy activation ensures dependencies load strictly on-demand when tools are triggered, maintaining system stability and preventing memory bloat.

Q4:How to enforce permissions and sandbox isolation in production?

Combine isolated container sandboxing with fine-grained capability checks to prevent plugins from accessing sensitive files or unauthorized external networks. Enforce explicit runtime system call whitelisting through the microkernel, executing all third-party tool scripts inside isolated ephemeral containers to block arbitrary code execution and eliminate security privilege escalation risks entirely.

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