Business · PyPI

agent-haas

Harness as a Service — production-grade multi-agent harness with LLM routing, paged context, hierarchical tracing, safety, and self-improvement

Details

Author
thepradip
GitHub profile
@thepradip
Category
Business
Platform
PyPI
GitHub
https://github.com/thepradip/HarnessAgent
Framework
langchain
Language
python
Stars
0
First indexed
2026-05-15
Last active
Directory sync
2026-05-15

Overview

Harness as a Service — production-grade multi-agent harness with LLM routing, paged context, hierarchical tracing, safety, and self-improvement

Quick start

pip

pip install agent-haas

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

What agent-haas can do

  • Agent — Plans, decides, and executes multi-step tasks autonomously.
  • Llm — llm task automation.
  • Multi Agent — multi-agent task automation.
  • Ai — ai task automation.
  • Openai — openai task automation.

Frequently asked questions

What is agent-haas?
Harness as a Service — production-grade multi-agent harness with LLM routing, paged context, hierarchical tracing, safety, and self-improvement
How do I install agent-haas?
Use pip: `pip install agent-haas`. Full setup details on the source page linked above.
Is agent-haas open source?
agent-haas is published on PyPI.
What are alternatives to agent-haas?
Comparable agents include awesome-llm-apps, vllm, aider. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for agent-haas is sourced from PyPI, published by thepradip.

Last scraped: · First indexed:

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