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Releases: guglxni/chronos

v2.0.0 — chronos-data

27 Apr 00:36

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chronos-data 2.0.0

Autonomous Data Incident Root Cause Analysis Agent — now published to PyPI.

pip install chronos-data

What CHRONOS does

When a data quality test fails, CHRONOS runs a 10-step autonomous investigation — walking OpenMetadata lineage, querying a Graphiti temporal knowledge graph, checking code commits — and returns a structured incident report with root cause, confidence score, evidence chain, and recommended actions. No engineer required.

What's in this release

  • 10-step LangGraph RCA pipeline — entity resolution → test history → temporal changes → schema diff → upstream lineage → code search → downstream impact → audit events → LLM synthesis → PROV-O provenance
  • Native MCP server (stdio + SSE) with 7 tools: trigger_investigation, get_incident, list_incidents, query_lineage, search_entity, get_graph_context, poll_failures
  • A2A agent discovery card at /.well-known/agent-card.json — self-configuring for OpenClaw, Hermes, AutoGen, Claude
  • 24/7 autonomous monitoring — polls OpenMetadata continuously, deduplicates, auto-triggers investigations
  • W3C PROV-O provenance — JSON-LD / Turtle / PROV-N audit artifacts per investigation
  • React frontend on Vercel with live demo, dashboard, investigation detail, and For Agents section
  • Agent skill published to 39 agents: npx skills add guglxni/chronos-skill

Install

# Python package
pip install chronos-data

# Agent skill (Claude Code, OpenClaw, Cursor, Hermes, +35 more)
npx skills add guglxni/chronos-skill

# MCP server
chronos-mcp                                    # stdio (Claude Desktop)
chronos-mcp --transport sse --port 8101       # SSE (remote agents)

Links

v0.0.1 — AIDLC Inception Phase Complete

20 Apr 19:18

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⏳ CHRONOS — Inception Phase Complete

What's included

AIDLC Workflow Setup (AI-DLC v0.1.7)

  • Core workflow rules (AGENTS.md)
  • Full rule details (.aidlc-rule-details/)
  • Workflow state tracking (aidlc-docs/aidlc-state.md)
  • Audit trail (aidlc-docs/audit.md)

Inception Phase Artifacts

  • 📋 Requirements Analysis — 10 functional + 5 non-functional requirements (comprehensive depth)
  • 👤 User Stories — 3 personas (Priya, Alex, Meera), 6 epics, 16 stories with acceptance criteria
  • 🗺️ Workflow Plan — 6 construction units with dependency ordering
  • 🏗️ Application Design — Triple-graph architecture, component inventory, data flow diagrams
  • 📦 Units Specification — File-level component inventory for all 6 units

Project Foundation

  • README.md with architecture diagram, tech stack, quick start guide
  • .gitignore, .env.example, LICENSE (Apache 2.0)
  • GitHub: 20 topics, 14 custom labels, milestone, 8 issues

Next Steps

Construction Phase begins with Unit 1: Core Infrastructure & Configuration

Tech Stack

OpenMetadata | Graphiti | GitNexus | LangGraph | LiteLLM | FastAPI | React + React Flow | Docker Compose