swarm-orbit
Task orbit assignment for agent swarms. Agents circle tasks like satellites — gravity wells attract the right agent to the right task.
How It Works
Each task is a gravity well with mass (priority) and required capabilities. Each agent has capabilities, current load, and learned affinities. Gravitational pull = priority × capability match × affinity × availability. Strongest pull wins.
Usage
from swarm_orbit import TaskOrbit, Agent, GravityWell
orbit = TaskOrbit()
orbit.add_agent(Agent(id="scout-1", capabilities=["search", "nlp"], load=0.2))
orbit.add_agent(Agent(id="builder-1", capabilities=["rust", "ml"], load=0.7))
orbit.add_well(GravityWell(task_id="t1", task_type="search", required_capabilities=["search"]))
assignments = orbit.assign()
# scout-1 orbits t1 (stronger pull — capability match + low load)
Zero deps. pip install swarm-orbit
1 maintainer
Metadata
1 maintainer
Release files for swarm-orbit 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| File | Interpreter | ABI | Platform | Actions Reset |
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| swarm_orbit-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for swarm_orbit-0.1.0-py3-none-any.whl |
Total release size: 7.1 kB
Release files / swarm_orbit-0.1.0.tar.gz
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Release files / swarm_orbit-0.1.0-py3-none-any.whl
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| Tags | Python 3 |
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