AI Infrastructure · PyPI

rlmagents

RLM-enhanced agent harness with planning, filesystem, sub-agents, and profile-driven context isolation tools

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Details

GitHub profile
@Hmbown
Category
AI Infrastructure
Platform
PyPI
GitHub
https://github.com/Hmbown/rlmagents
Framework
langchain
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@Hmbown

Overview

RLM-enhanced agent harness with planning, filesystem, sub-agents, and profile-driven context isolation tools

Quick start

pip

pip install rlmagents

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What rlmagents can do

agentaiplanningreasoninglangchain
  • Agent — Plans, decides, and executes multi-step tasks autonomously.
  • Ai — ai task automation.
  • Planning — Breaks goals into ordered actionable steps.
  • Reasoning — Works through multi-step problems with explicit logic.
  • Langchain — langchain task automation.

Frequently asked questions

What is rlmagents?
RLM-enhanced agent harness with planning, filesystem, sub-agents, and profile-driven context isolation tools
How do I install rlmagents?
Use pip: `pip install rlmagents`. Full setup details on the source page linked above.
Is rlmagents open source?
rlmagents is published on PyPI.
What are alternatives to rlmagents?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Profile data for rlmagents is sourced from PyPI.

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