dexto

Pi Agent Harness packages a unified multi-provider LLM API, a tool-calling runtime with state management, an interactive coding CLI, and a terminal UI as composable modules. It gives developers separate extension points for models, tools, and interfaces. Pi has no built-in permission system and inherits the launching process’s filesystem, network, and credential access, so stronger boundaries require a container or sandbox.

Deep Agents is an agent harness for long-running, multi-step work, with built-in planning, sub-agents, filesystem access, shell use, and persistence. Each part can be overridden or replaced without forking, and the framework can work with tool-calling frontier, open-weight, or local models.

OpenHarness is a Python framework for researchers and developers who want an inspectable, extensible agent runtime through a CLI or terminal UI. It combines tool use, skills, persistent memory, permissions, MCP, and multi-agent coordination. The bundled ohmo agent can work through Feishu, Slack, Telegram, or Discord using an existing Claude Code or Codex subscription.

Hive turns an objective into a graph-based runtime that coordinates specialized agents in parallel while preserving role memory, checkpoints, and execution state. It adds human-in-the-loop controls, observability, cost limits, browser and compute tools, and LiteLLM-compatible hosted or local models; teams building only simple one-off chains may not need this heavier harness.