Harness Engineering GitHub Repositories (2026) · Open Source Tools

An agent runtime for Python. Give your agent real work. Keep control: every action checked before it runs, every run survives a crash without silently redoing anything, every step on the record.

Grasp helps you manage multiple projects and parallel coding agents in one visual workflow, so humans can understand faster and ship more.

What if OpenAI Deep Research and Dify were one platform? OpenAgent — harness architecture for rapidly building vertical AI agents, with deep reasoning loops, visual workflows, RAG, and A2A delegation.

XpertAI is an open-source platform for building, running, and evolving ai agents, providing extensible capabilities and infrastructure for diverse AI systems.

The ergonomic agent harness for Emacs.

Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency graphs, quality gates, and actor attribution. Schemas define what agents must produce — the server blocks the call if they don't. Works with any MCP-compatible client.

MCP server and Python SDK that generates, runs and refines AI agent workflows from natural language (Generative Workflow, A2A, FastAPI).

First-tree routes work to the right agent, gives it the same context your team has, and loops humans in only when the rules say so. Lives in your GitHub. Open source.

The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure

Open source autonomous engineering harness in your cloud. One sandbox per task, no real secrets inside.

An agent with its own cloud and wallet. Prompt in, live link out. Written in Rust. CA: 0xa2753fd0bc86b8ceb55ffd2698679c7f214785f1