from nexus.agent import NexusAgent
agent = NexusAgent(model="ollama/llama3")
| Method | Parameters | Returns | Description |
|---|
execute(prompt) | prompt: str | str | Execute a task with the agent |
evolve() | — | dict | Scan workspace and build memory graph |
from nexus.config import load_config, save_config, NexusConfig
config = load_config() # Load from ~/.nexus/config.yaml
config.model.default = "ollama/codellama"
save_config(config) # Save to file
| Field | Type | Default | Description |
|---|
model.default | str | "ollama/llama3" | Default model |
model.max_tokens | int | 2048 | Max tokens per response |
model.temperature | float | 0.7 | Model temperature |
memory.max_nodes | int | 10000 | Max graph nodes |
memory.max_edges | int | 50000 | Max graph edges |
skills.directory | str | ".nexus/skills" | Skills storage |
skills.sandbox_enabled | bool | True | Enable sandbox |
plugins.directory | str | ".nexus/plugins" | Plugins storage |
plugins.hot_reload | bool | True | Auto-reload plugins |
web.enabled | bool | False | Enable dashboard |
web.port | int | 8420 | Dashboard port |
from nexus.plugins import PluginManager
pm = PluginManager()
pm.load_all()
pm.call_hook("nexus_pre_execute", "Hello!")
plugins = pm.list_plugins()
from nexus.sandbox import Sandbox
sandbox = Sandbox(timeout=30, max_memory_mb=256)
result = sandbox.execute("print('Hello!')")
print(result.stdout) # "Hello!"
print(result.success) # True
from nexus.export import export_skills_json, export_markdown_report, export_skill_pack
export_skills_json(agent, "skills.json")
export_markdown_report(agent, "report.md")
export_skill_pack(agent, "pack.zip")
from nexus.updater import check_version, update_skills, self_update
version_info = check_version()
update_skills()
self_update()