agent learning commands

16 tagged agent learning, measured the same way as everything else here.

Browse within: agent-memory 14episodic-memory 10

echo

02

inclusionAI/AWorld

Command

This is a placeholder command definition for plugin framework tests.

1.2k 4d ago A 0 tokens original MIT

arrecall

03

Goldentrii/AgentRecall-X

Command

AgentRecall on-demand recall — surface past fixes, decisions, and patterns mid-session without leaving your flow.

370 11d ago A 21 tokens original MIT

arreflect

04

Goldentrii/AgentRecall-X

Command

AgentRecall consolidation & reflection — periodic triage of recurring corrections; proposes rule changes, never applies them without the owner.

370 11d ago A 24 tokens original MIT

arsave

05

Goldentrii/AgentRecall-X

Command

AgentRecall full save — journal + palace + awareness + insights in one shot.

370 11d ago C 16 tokens original MIT

AgentToolkit/altk-evolve

Command

Analyze saved trajectories and recall audit events offline to record whether recalled guidelines influenced completed sessions.

105 6d ago A 17 tokens original Apache-2.0

AgentToolkit/altk-evolve

Command

Convert a saved trajectory into a reusable agent skill (SKILL.md + supporting scripts) that future agents can invoke to skip rediscovered work. Use when a session captured a non-trivial workflow worth promoting from a free-text guideline to an executable skill.

105 6d ago A 50 tokens original Apache-2.0