AI Infrastructure · PyPI

react-agent-harness

Multi-agent LLM orchestration: hybrid DAG planning, two-tier memory, streaming, cost/token budgets with per-call-site breakdown

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Details

Category
AI Infrastructure
Platform
PyPI
Framework
unknown
Language
python
Stars
0
First indexed
2026-06-02
Last active
—
Directory sync
2026-06-02

Overview

Multi-agent LLM orchestration: hybrid DAG planning, two-tier memory, streaming, cost/token budgets with per-call-site breakdown

Quick start

pip

pip install react-agent-harness

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

What react-agent-harness can do

agentllmmulti-agentplanning
  • Agent — Plans, decides, and executes multi-step tasks autonomously.
  • Llm — llm task automation.
  • Multi Agent — multi-agent task automation.
  • Planning — Breaks goals into ordered actionable steps.

Frequently asked questions

What is react-agent-harness?
Multi-agent LLM orchestration: hybrid DAG planning, two-tier memory, streaming, cost/token budgets with per-call-site breakdown
How do I install react-agent-harness?
Use pip: `pip install react-agent-harness`. Full setup details on the source page linked above.
Is react-agent-harness open source?
react-agent-harness is published on PyPI.
What are alternatives to react-agent-harness?
Comparable agents include awesome, openclaw, superpowers. Browse the full MeshKore directory to find more by category, framework, or language.

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