AxAgent Memory And Skills For Python
Use when writing Python code with axllm for agent memory, recall callbacks, dynamic skill discovery, loaded-skill state, and used-skill tracking.
Install
Install only this skill for Python:
npx skills add https://ax-llm.github.io/ax/python/ --skill 'ax-python-agent-memory-skills'Published skill file: ax-python-agent-memory-skills/SKILL.md.
Source
- Source: packages/python/skills/ax-python-agent-memory-skills/SKILL.md
- Version:
22.0.3
Skill Instructions
This skill helps an agent write Python code with the generated Ax package axllm. Use the generated package API, examples, and manifests; do not import TypeScript-only APIs unless you are editing the TypeScript package.
When To Use
- Load memories or skill guides into an RLM agent run.
- Track which memories or skills actually influenced a turn.
- Keep recall and skill search as host callbacks rather than generated-package global state.
Package Facts
- Language: Python.
- Package:
axllm. - Package API docs:
API.mdandaxir-api.json. - Capability manifest:
axir-capabilities.json. - Runnable examples:
examples/. - Real network support: yes.
- Scripted no-key transport support: yes.
- Runtime profiles:
javascript-quickjs,python-pyodide.
Core Pattern
from axllm import agent
helper = agent("question:string -> answer:string")
out = helper.forward(llm, {"question": "How should I proceed?"})Relevant API Surface
- Agents And RLM:
agent,AxAgent - Runtime Profiles:
ProcessCodeRuntime,RuntimeCapabilities,RuntimeEnvelope,javascript-quickjs,python-pyodide
Guardrails
- Start from package examples for exact native syntax before inventing a new call shape.
- Use
provider-apiexamples only when the user explicitly has provider credentials available. - Use
no-keyexamples for deterministic local checks and provider request mapping. - Treat AxIR as the source of generated package truth: if package docs disagree with source code, update the compiler and regenerate packages.
- Do not copy repo-maintainer skills from
tools/*/skills/into user packages.