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Build long-lived multimodal memory, dream over it, and retrieve context with transparent weighting.

Project description

cellin

PyPI Version Release Passing

Cellin builds long-lived multimodal memory, dreams over it to consolidate ideas, and retrieves context with transparent weighted ranking.

Install

From source today:

git clone https://github.com/ben-ranford/cellin.git
cd cellin
make bootstrap

Install from PyPI:

python3 -m pip install cellin

Quickstart

From the repository root:

WORKSPACE=.cellin-workspace
python3 -m uv run cellin init --workspace "$WORKSPACE"
python3 -m uv run cellin ingest --config "$WORKSPACE/cellin.json" --input examples/starter/seed_envelopes.json
python3 -m uv run cellin retrieve --config "$WORKSPACE/cellin.json" --query "memory graph retrieval" --top-k 2
python3 -m uv run cellin dream --config "$WORKSPACE/cellin.json" --strategy abstraction
python3 -m uv run cellin eval run --suite smoke --config "$WORKSPACE/cellin.json" --output "$WORKSPACE/smoke.json"
python3 -m uv run cellin trace inspect --config "$WORKSPACE/cellin.json" --limit 5

See examples/starter/README.md for the same flow in a shorter checklist form.

Primary surfaces

  • CLI: cellin init, ingest, retrieve, dream, plugin list, eval run, trace inspect
  • Ingestion: cellin.ingest.ArtifactEnvelope and cellin.ingest.CanonicalIngestor
  • Retrieval: cellin.retrieval.WeightedRetriever, cellin.retrieval.RetrievalCandidateGenerator, and cellin.ranking.WeightedRanker
  • Dreaming: cellin.dreaming.DreamRunner plus the built-in deduplication, abstraction, and contradiction-repair strategies
  • Evals: cellin.evals.run_evaluation_suite and cellin.evals.run_smoke_eval
  • Extensibility: cellin.runtime.PluginRegistry and the contracts exported from cellin.core

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