Harness Python Packages

strands-agents

Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.

openai-agents

A lightweight, powerful framework for multi-agent workflows

cuga

CUGA is an open-source generalist agent harness for the enterprise, supporting complex task execution on web and APIs, OpenAPI/MCP integrations, composable architecture, reasoning modes, and policy-aware features.

harness-python-sdk

python SDK for harness

polyaxon

AI Infra / AI Orchestration / AI Control Plane

agentcairn

Long-term, cross-project memory for AI coding agents. Your own Obsidian vault as the source of truth. Daemonless and without opaque databases, your memory belongs to you.

opalacoder

Autonomous coding agent with interactive planning and modular execution

mcp-client-for-ollama

Harness the power of local LLMs with this TUI MCP Client for Ollama. Featuring all core MCP primitives (tools, prompts, resources), agent mode, multi-server, model switching, streaming responses, human-in-the-loop, thinking mode, model params config, system prompts, and saved preferences.

ollmcp

Harness the power of local LLMs with this TUI MCP Client for Ollama. Featuring all core MCP primitives (tools, prompts, resources), agent mode, multi-server, model switching, streaming responses, human-in-the-loop, thinking mode, model params config, system prompts, and saved preferences.

mlx-code

Git-Native Coding Agent for Mac

claude-ctx

Not an Amazon-style catalog or marketplace. ctx is a recommendation layer: bring your org tools or use the shipped graph to load the right skills, agents, MCPs, and harnesses only for the current dev window, cutting token bills and local compute waste: 79,958-node LLM-wiki graph, 68,494 skills, 467 agents, 10,790 MCPs, 207 harnesses.

cai-framework

A lightweight, powerful framework for multi-agent workflows

wbcli

Ultra-light multi agent orchestrator, anywhere you work

lemma-terminal

The open-source workspace where humans and AI agents work as one team.

memu-py

Personal memory for agents - fast memory retrieval, self-evolving skills, and lower cost.

bog-agents

bog-agents is an AI super-harness for your favorite inference provider.

bog-agents-cli

bog-agents is an AI super-harness for your favorite inference provider.

flowsh-cli

Transform workflow definitions into executable shell-based agent harnesses

bog-agents-daemon

bog-agents is an AI super-harness for your favorite inference provider.

researchharness

A lightweight, general-purpose harness for tool-using LLM agents, fair benchmark evaluation, harness baselines, and personal assistant workflows.

agenttier

Kubernetes-native sandbox platform to run AI agents, coding assistants and harnesses.

ratel-ai

Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 retrieval. No vector DB. No embeddings.

llmrix-skill

A robust framework for managing, versioning, and deploying AI agent skills with seamless Git-based integration.

milu

Production-ready multi-user AI agent framework — 9 LLM providers with Chinese models (Qwen, DeepSeek, Kimi, GLM) first-class. Built-in tools, MCP, RAG, sub-agents, skills, scheduler and an agent pool. Run it as a CLI/service, or embed it as a library.