AI AGENTS

GenericAgent

by lsdefine

agentlead-sourcegithub-ai-agent-repositoriessource:github.comllm-agentself-evolvingtoken-efficientgithubarxiv

Overview

GenericAgent is a token-efficient, self-evolving LLM agent project from lsdefine.

Details

GenericAgent is presented as a general-purpose, self-evolving LLM agent system. The supplied GitHub lead describes it as growing a skill tree from a 3.3K-line seed, achieving full system control with 6x less token consumption. The linked arXiv report describes GenericAgent as using a minimal atomic tool set, hierarchical memory, self-evolution, and context compression. Its installation guide covers one-line installers, developer checkout instructions, LLM key configuration, supported frontends, and verification steps.

When to Use

Use when researching self-evolving LLM agent systems that emphasize token efficiency and context compression. Use when you want to inspect an agent architecture described as using hierarchical memory a minimal atomic tool set and self-evolution. Use when evaluating a GitHub-hosted agent project with an accompanying arXiv technical report and installation documentation.

Getting Started

Open the GitHub repository at https://github.com/lsdefine/GenericAgent.
Follow the installation guide at https://github.com/lsdefine/GenericAgent/blob/main/docs/installation.md for one-line installer or developer checkout instructions.
Configure the required LLM key as described in the installation guide.
Run the documented verification steps after installation.

Key Features

•Self-evolving agent approach described in the supplied sources.
•Skill-tree growth from a 3.3K-line seed
•according to the GitHub lead excerpt.
•Reported 6x lower token consumption in the supplied GitHub lead excerpt.
•Minimal atomic tool set
•hierarchical memory
•self-evolution
•and context compression described in the arXiv excerpt.
•Installation documentation covering installers
•developer checkout
•LLM key configuration
•supported frontends
•and verification steps.

Capabilities

•self-evolving-agent
•llm-agent
•context-compression
•hierarchical-memory
•developer-installation

Last updated Jun 1, 2026