Grow task-induced agent tissues from a single stem cell.
🧫 One task becomes a culture medium. 🧬 One origin cell becomes a working tissue.
Concept visualization · Soft Lab Console for live agent-tissue sessions.
Ontocellia treats multi-agent collaboration as a living tissue rather than a fixed agent graph. A task becomes the culture medium: one stem-origin cell proliferates, differentiates into specialized cells, communicates through an extracellular matrix, and adapts under bounded feedback.
The framework is built around a biological metaphor with practical engineering boundaries: genes express tendencies, cells keep local context, the matrix stores shared evidence, morphogens shape task pressure, organ selection provides weak global feedback, and extracellular interfaces gate tool use.
task / culture medium
-> single stem-origin cell
-> proliferation and differentiation
-> tissue communication and matrix memory
-> policy-gated action intents and feedback
| Layer | Role |
|---|---|
| 🧬 Genome | Encodes endogenous gene programs, expression bias, mutation history, and validation hooks. |
| 🧫 Cell | Tracks fate, stage, lineage, receptors, adhesion, energy, and local history. |
| 🌱 Developmental field | Uses morphogens, graph topology, and fate attractors to shape tissue structure. |
| 🕸️ Matrix memory | Keeps shared evidence, messages, handoffs, corrections, and execution feedback. |
| 🔬 Extracellular tools | Routes intents through explicit receptor, environment, and policy gates. |
conda env create -f environment.yml
conda activate ontocellia
python -m ontocelliapython -m pytest -q