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Personal intelligence-watch pipeline run by AI agents: hunters, verifiers and an interactive star-map of findings.

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Constellation

Constellation is a personal intelligence-watch pipeline run by AI agents. Agents search a subject along several axes, other agents check each finding against its sources, and the result is published as a bilingual 3D map that the reader rates. The ratings feed the next run: the pipeline learns what this reader cares about.

The agent instructions and most comments are written in French.

What is in this repository

Folder Content
server/ The website: sign-up and profile form, rating page, 3D map, admin console, email sending. Node.js 22, no npm dependency.
viewer/ The 3D map template (constellation.template.html, three.js) and the Python scripts that build its data from a run (build_constellation.py, build_publie.py, gen-template-publie.py, deployer-eval.sh).
pipeline/ The pipeline graph workflows/veille.json (8 steps, each followed by its check) and the blocking validators run at the end of each step (validate.py, validators/etape*.py).
skills/ The instructions given to each agent role (hunters, verifiers, writer, publisher…), one folder per role with its SKILL.md.
examples/demo-run/ A small invented run (home solar energy, 9 findings) and the map built from it. All its content is fictional.

How it fits with flux

Constellation does not include its own engine. The pipeline graph is executed by flux, a separate repository that launches one agent per node, checks its deliverables and moves to the next node. Install flux first, then point it at this repository (see .env.example):

export FLUX_WORKFLOWS_DIR=$CONSTELLATION_HOME/pipeline/workflows
export FLUX_SKILLS_DIR=$CONSTELLATION_HOME/skills

The exact interface (launch command, graph format, environment variables) is documented in the flux repository.

Quick start: the website and the demo map

Requirements: Docker, or Node.js 22 and Python 3.10+. The step validators also need aspell with its French dictionary (apt install aspell aspell-fr).

git clone <this repository> constellation && cd constellation
cp .env.example .env            # edit at least ADMIN_PASS and SESSION_SECRET
mkdir -p data veille-owners
docker compose -f docker-compose.example.yml up -d --build

Open http://localhost:8080/ for the profile form and http://localhost:8080/constellation.html for the demo map.

To build a map from a run and deploy it as a rating page:

python3 viewer/build_constellation.py examples/demo-run      # writes examples/demo-run/constellation/
CONSTELLATION_DATA=./data CONSTELLATION_BASE_URL=http://localhost:8080 \
  bash viewer/deployer-eval.sh examples/demo-run              # serves /c/demo-run-eval/
CONSTELLATION_DATA=./data bash viewer/poser-tutoriel.sh       # guided tour shown on a reader's first visit

Without Docker: cd server && DATAROOT=../data PORT=8080 node server.js.

Running a full watch

A full run needs flux, Claude Code (or another engine declared in flux) and a paid model subscription or API key: every step launches agents. The steps are:

  1. Prepare the run (profile, subject, casting of hunters) — skill veille-start.
  2. Hunt: one hunter per axis, plus two cross-cutting hunters and a scout; then a check by fresh agents.
  3. Assemble: group findings into stories, write the short text of each, build the map.
  4. Notify the reader.
  5. The reader rates the map (human step).
  6. Feedback: rules per axis are induced from the ratings.
  7. Publish the deliverables (map, digest, newsletter).
  8. Review of the run.

The demo above stops before step 2: everything from the hunt onward calls a model.

Settings

All machine-specific values (domain, paths, keys, mail settings) are environment variables, listed with example values in .env.example. Nothing in the code points to a real server.

Optional services, each enabled only when its key is set: Brevo (fallback email relay), PostHog (visit statistics, behind a consent banner), Groq or Anthropic API (axis suggestions in the form when Claude Code is not installed).

Not included

  • skills/veille-style/reference-redaction.md: the writing reference was a transcript of a third-party video and cannot be redistributed. The file explains what to put there.
  • docs/criteres-juges.md: the scoring grid used by the verifiers, referenced by veille-launch-researcher, is not part of this release.
  • The optional domain-memory scripts (veille-memory.py, build-source-ledger.py, build-watch-preferences.py) referenced by veille-start and veille-publish: the steps that call them are skipped when VEILLE_SCRIPTS is empty.

License

  • Code: Apache License 2.0 (LICENSE, NOTICE).
  • Texts, agent instructions (skills/), documents and diagrams: Creative Commons Attribution 4.0 International (LICENSE-docs).
  • Third-party components and their licenses are listed in NOTICE (three.js, MIT; marked, MIT; fonts under SIL OFL, loaded from Google Fonts).

Anthony Hunt · Project page on ingevision.cloud · LinkedIn · GitHub profile

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Personal intelligence-watch pipeline run by AI agents: hunters, verifiers and an interactive star-map of findings.

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