Loading catalog…
Product briefing
ArcoreStation
ProductionData & Intelligence
ArcoreStation is a local-first transcript and artifact vault. It converts raw chat and paste transcripts into normalized conversations, extracted code artifacts, deterministic exports, and semantic search indexes for long-term reuse.
API: Available
Endpoints
3
Key features
5
Stack components
5
Controls noted
5
What changed
May 15, 2026: Added governance-aligned copy, compare tooling support, and transparency notes.
Key Features
- 1Conversation ingestion from ChatGPT, Claude, Gemini, and other transcript formats
- 2Code artifact extraction with language detection and structured export
- 3Semantic search and RAG-ready retrieval over normalized conversation history
- 4Local-first storage model for durable personal and project knowledge
- 5Deterministic file exports for preserving usable artifacts outside the app
API Endpoints
| Method | Path | Description |
|---|---|---|
| GET | /api/arcorestation/status | Retrieve service health, readiness, and catalog metadata |
| GET | /api/arcorestation/items | List governed items for this product area |
| POST | /api/arcorestation/jobs | Start an asynchronous processing, sync, or analysis job |
Usage Example
python
import requests
response = requests.get(
url="https://api.arcore.internal/api/arcorestation/status",
headers={"Authorization": "Bearer <token>"},
)
print(response.json())Recommended next products
Tech Stack
ReactTypeScriptPostgreSQLpgvectorSemantic Search
Authentication
- •**Header:** `Authorization: Bearer <token>`
- •**Roles:** Product-specific roles gate read, write, admin, and execution actions
- •**Gateway:** Service-to-service calls are expected to be mediated by Arcore platform policy
Compliance & Security
Compliance
- ✓Authentication: Requests are expected to use Arcore identity, bearer tokens, or gateway-mediated service credentials
- ✓Authorization: Product-specific RBAC separates read, write, admin, and execution permissions
- ✓Auditability: Cataloged actions, job starts, and configuration changes should be recorded for review
- ✓Data Protection: Sensitive operational data should remain encrypted in transit and protected by least-privilege access controls
Security
- ✓Data Protection: Sensitive operational data should remain encrypted in transit and protected by least-privilege access controls
Related Products
Arcore Maestro
Arcore Maestro is an AI workflow orchestration platform that routes tasks through LangGraph-based workflows, local or remote LLMs, and sandboxed worker services. It provides a unified control plane for defining, executing, and monitoring multi-step AI pipelines across the Arcore ecosystem.
Graph-based workflow orchestration with conditional branching
CRUD management for services, models, workflows, graphs, and templates
PythonFastAPIReact
6 endpointsOpen
local-llm-server
A production-ready local model serving platform with an OpenAI-compatible API, orchestration endpoints for model lifecycle management, deep performance telemetry, and an optional Vector-Tester companion UI for staged testing and crash-log capture.
Model registry with load and unload orchestration
OpenAI-compatible and native streaming inference endpoints
PythonFastAPISQLModel
6 endpointsOpen
Chapterize
An intelligent PDF processing platform that converts unstructured books and documents into structured chapters with rich HTML, text, and images. Chapterize combines a Django + React web application with a Python CLI toolkit for batch processing and downstream RAG-friendly exports.
TOC-first chapter detection with regex fallback
Layout-aware extraction of text, images, and tabular regions
PythonDjangoReact
5 endpointsOpen