Tags: agent-orchestration* + agents*

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  1. OpenHuman is an open-source agent harness designed as a personal AI super intelligence, featuring local-first memory through Markdown trees in SQLite and orchestration capabilities via checkpointed graphs. It functions as a brain that builds persistent context from various data sources like email and calendars, acting as both an orchestrator for multi-agent workflows and a deep researcher with built-in web search and media generation tools.

    - Features "Memory Trees" stored locally in Markdown format to create a Karpathy-style Obsidian wiki.
    - Provides end-to-end encrypted agent-to-agent messaging using the Signal protocol.
    - Supports visual, trigger-driven workflows that can be proposed by an AI and reviewed on a canvas.
    - Includes a "Privacy Mode" which ensures no inference data leaves the user's machine when toggled.
  2. A curated collection of resources, patterns, and templates for building reliable scaffolding for agents. Harness engineering is the discipline of designing the systems surrounding an agent—such as context delivery, tool interfaces, planning artifacts, verification loops, memory systems, and sandboxes—that determine its success or failure on real tasks. This focus is on the harness rather than the model.

    - Design primitives for loops, planning, and memory
    - Reference implementations and tutorials
    - Security, sandboxing, and permissions
    - Evaluation, verification, and observability
    - Task runners and orchestration
    - Human-in-the-loop and production operations

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