pip install cognis-orgchart
orgchart scan . # → prioritized findings in secondsorgchart builds org charts and headcount plans from a CSV / HRIS export. Every subcommand takes a CSV path (or - for stdin).
- Install:
pip install -e . orgchart --version - Render the reporting tree from an export:
orgchart tree employees.csv
- Compute metrics — per-employee span-of-control and headcount roll-up:
orgchart metrics employees.csv
- Read the output as JSON, or pipe via stdin:
orgchart --format json summary employees.csv | jq . cat employees.csv | orgchart tree -
- Automate in CI — validate structural integrity (cycles, missing managers) on every HRIS sync:
orgchart validate employees.csv || exit 1
- Why orgchart? · Features · Quick start · Example · Architecture · AI stack · How it compares · Integrations · Install anywhere · Related · Contributing
ops + people teams
orgchart is single-purpose, scriptable, and self-hostable: point it at a target, get prioritized results in the format your workflow already speaks (table · JSON · SARIF), gate CI on it, and let agents drive it over MCP.
- ✅ Parse Csv
- ✅ Build Org
- ✅ Render Tree
- ✅ Load Org From Csv
- ✅ Runs on Linux/macOS/Windows · Docker · devcontainer
- ✅ Ports in Python, JavaScript, Go, and Rust (
ports/)
pip install cognis-orgchart
orgchart --version
orgchart scan . # scan current project
orgchart scan . --format json # machine-readable
orgchart scan . --fail-on high # CI gate (non-zero exit)$ orgchart scan .
[HIGH ] ORG-001 example finding (./src/app.py)
[MEDIUM ] ORG-002 another signal (./config.yaml)
2 findings · risk score 5 · 38ms
flowchart LR
IN[capture / scan] --> P[orgchart<br/>parse + map]
P --> OUT[report]
orgchart is interoperable with every popular way of using AI:
- MCP server —
orgchart mcp(Claude Desktop, Cursor, Cognis.Studio, uncensored-fleet) - OpenAI-compatible / JSON — pipe
orgchart scan . --format jsoninto any agent or LLM - LangChain · CrewAI · AutoGen · LlamaIndex — wrap the CLI/JSON as a tool in one line
- CI / scripts — exit codes + SARIF for non-AI pipelines
| Cognis orgchart | OrgChart | |
|---|---|---|
| Self-hostable, no account | ✅ | varies |
| Single command, zero config | ✅ | |
| JSON + SARIF for CI | ✅ | varies |
| MCP-native (AI agents) | ✅ | ❌ |
| Polyglot ports (JS/Go/Rust) | ✅ | ❌ |
| Open license | ✅ COCL | varies |
Built in the spirit of OrgChart, re-framed the Cognis way. Missing a credit? Open a PR.
Pipes into your stack: SARIF for code-scanning, JSON for anything, an MCP server (orgchart mcp) for AI agents, and a webhook forwarder for SIEM/Slack/Jira. See docs/INTEGRATIONS.md.
pip install "git+https://github.com/cognis-digital/orgchart.git" # pip (works today)
pipx install "git+https://github.com/cognis-digital/orgchart.git" # isolated CLI
uv tool install "git+https://github.com/cognis-digital/orgchart.git" # uv
pip install cognis-orgchart # PyPI (when published)
docker run --rm ghcr.io/cognis-digital/orgchart:latest --help # Docker
brew install cognis-digital/tap/orgchart # Homebrew tap
curl -fsSL https://raw.githubusercontent.com/cognis-digital/orgchart/main/install.sh | sh| Linux | macOS | Windows | Docker | Cloud |
|---|---|---|---|---|
scripts/setup-linux.sh |
scripts/setup-macos.sh |
scripts/setup-windows.ps1 |
docker run ghcr.io/cognis-digital/orgchart |
DEPLOY.md (AWS/Azure/GCP/k8s) |
invoctl— CLI invoicing + payment-link generator with PDF and a local ledgerchurnlens— Self-hosted SaaS metrics — MRR, churn, LTV from Stripe or CSVleadforge— Lightweight MCP-native CRM pipeline with email sequencesquotecraft— Proposal / quote / SOW generator — YAML to branded PDFboardroom— Investor-update and KPI one-pager generator from your metricsseataudit— SaaS license, seat-usage and shadow-IT auditor
Explore the suite → 🗂️ all 170+ tools · ⭐ awesome-cognis · 🔗 cognis-sources · 🤖 uncensored-fleet · 🧠 engram
PRs, new rules, and demo scenarios are welcome under the collaboration-pull model — see CONTRIBUTING.md and SECURITY.md.
{} composes with the 300+ tool Cognis suite — JSON in/out and a shared
OpenAI-compatible /v1 backbone. See INTEROP.md for the
suite map, composition patterns, and reference stacks.
Source-available under the Cognis Open Collaboration License (COCL) v1.0 — free for personal, internal-evaluation, research, and educational use; commercial / production use requires a license (licensing@cognis.digital). See LICENSE.