Minimal project memory and validation harness for AI coding agents.

The Dynamic Context Harness for AI Coding Agents

Deterministic event-sourced context harness for AI-assisted engineering (HydrateZ).

Deep Agents - a library for building controllable AI agents with LangGraph

> **Experimental** — Flue is under active development. APIs may change. > > Looking for `v0.0.x`? [See here.](https://github.com/withastro/flue/tree/v0.0.x)

> **Experimental** — Flue is under active development. APIs may change. > > Looking for `v0.0.x`? [See here.](https://github.com/withastro/flue/tree/v0.0.x)

The agentic meta-harness — freeze the model, evolve the harness. An open runtime that routes each query to the cost-optimal model, evolves its own harness (planner/context/reviewer/retry/tool/memory/score policy) and autonomously repairs code, then orches

> **Experimental** — Flue is under active development. APIs may change. > > Looking for `v0.0.x`? [See here.](https://github.com/withastro/flue/tree/v0.0.x)

TypeScript SDK for Strands Agents framework

Freeze the model, evolve the harness. Two measured applications: (1) SWE-bench code-repair — conformant GLM->Opus empty-patch cascade resolves 51.3% Lite (n=300) and 55.6% Verified (278/500, Wilson 95% CI [51.2, 59.9], official swebench gold eval, no gold

This package contains a module for locally hosting PowerApps Component Framework (PCF) controls. See project homepage how to install.

Give AI agents full access to the Harness.io platform — manage pipelines, deployments, cloud costs, chaos engineering, feature flags, SEI, and 125+ resource types through 11 MCP tools



Curated repo-health signals (gatherSignals + registry) as a shared leaf package





The core test runtime that executes on React Native devices, providing Jest-compatible APIs (describe, it, expect) and managing test collection, execution, and result reporting in native environments.