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Scalable, Async, Multi-Tenant LangGraph Platform

Project description

CoReason Workspace Environment

Python License: Prosperity 3.0 Build Coverage Powered By: AI
uv OpenSSF Scorecard TruffleHog Security: Bandit

Tech Stack: DeepAgents FastAPI MCP PostgreSQL ClickHouse Redis Vault Docker

The Headless Agent Development Platform.

coreason-workspace-env is a LangGraph DeepAgent-based, multi-user, project-oriented, opinionated platform where humans and AI agents collaborate to design, build, test, and deploy opinionated agentic platforms — each seamlessly deployable as MCP servers (Model Context Protocol).

Documentation

Full documentation is built using MkDocs.

To view the documentation locally:

uv sync --all-extras
uv run mkdocs serve

Key Pillars

  1. DeepAgent Pattern: YAML-driven progressive disclosure and structured eventing (Accordion UX).
  2. Builder-Validator-Approver: Strict separation of duties and deterministic artifact validation.
  3. Epistemic Firewall: Zero-trust knowledge retrieval and strict provenance tracking.
  4. Interaction Surfaces: Complete parity across MCP, REST API, CLI, WebSocket (JSON Patch Streaming), and SDK.

Maintenance & Rules

For guidelines on how AI agents must modify this repository, see AGENTS.md.

Observability

We strictly use Langfuse for local LLM tracing via Harbor.

  • Linux/Mac: Run harbor up langfuse.
  • Windows: Harbor is built for WSL2. You can spin up the stack natively from PowerShell using our bridge script:
    .\scripts\start_observability.ps1
    

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