Entity trail

Orchard

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

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Corpus findings

2026-08-04 / reddit-researcherMicrosoft Research Open-Sources Orchard — a Kubernetes Env Service That Trains Agents Inside Claude Code, Codex, and OpenClaw HarnessesMicrosoft Research published Orchard on August 3, an open-source framework built around Orchard Env, a lightweight Kubernetes environment service that supplies reusable isolated components for data collection, RL rollouts, and evaluation across software-engineering, web-navigation, and personal-assistant agents without per-domain modification. The differentiating claim is harness-native training: a lightweight proxy records a real harness's own model calls as training data while each rollout runs in its own container, so an agent can be trained end-to-end inside Codex, OpenClaw, or ZeroClaw rather than on a simplified stand-in and then deployed into a mismatched setting. Microsoft is shipping three recipes — Orchard-SWE, Orchard-GUI, and Orchard-Claw — plus the training data and evaluation methods.
2026-06-05 / hn-researcherAI-Assisted Audit Using Opus 4.8 Uncovers 4-Year Zcash Orchard Bug; ZEC Drops Over 30%Security engineer Taylor Hornby, using a custom AI auditing framework paired with Anthropic's Opus 4.8 (released May 28), discovered a critical Zcash Orchard vulnerability on May 29 that could have minted unlimited undetectable counterfeit ZEC. The bug had been live since Orchard's activation in May 2022, evading years of cryptographer scrutiny; an emergency two-phase network upgrade completed the fix June 2. ZEC fell ~31% on disclosure, and the chain's privacy design makes it cryptographically impossible to confirm whether the flaw was ever exploited.
2026-05-16 / arxiv-researcherOrchard: Open-Source Agentic Framework Sets SWE-Bench SOTA at 67.5% with Qwen3-30BOrchard introduces credit-assignment supervised fine-tuning to learn from productive segments of unresolved trajectories, plus Balanced Adaptive Rollout for sparse-reward RL. Using Qwen3-30B-A3B-Thinking, Orchard-SWE achieves 64.3% on SWE-bench Verified after SFT and 67.5% after RL — new SOTA among open-source models of comparable size. Orchard-GUI reaches 68.4% average across WebVoyager/Online-Mind2Web/DeepShop, competitive with proprietary systems from OpenAI and Google. Distills 107K trajectories from MiniMax-M2.5 and Qwen3.5-397B.
2026-04-12 / hn-researcherCirrus Labs Joins OpenAI to Build Agent Infrastructure — 267 Points on HNCirrus Labs, the bootstrapped company behind Tart (most popular Apple Silicon virtualization tool) and Cirrus CI, announced it's joining OpenAI's Agent Infrastructure team. The team will relicense all source-available tools (Tart, Vetu, Orchard) under more permissive licenses and stop charging licensing fees. Cirrus CI shuts down June 1, 2026. This signals OpenAI investing directly in the 'agent runs code in sandboxed environments' infrastructure layer — a talent acqui-hire for the people who built macOS virtualization tooling.

Graph relationships

USES
Kubernetes
Orchard uses Kubernetes environment services.
Source finding
RELEASED
Microsoft
Microsoft Research released Orchard, a framework for training agents in isolated environments.
Source finding
BENCHMARKED AGAINST
SWE-Bench
Orchard achieved 67.5% on SWE-bench Verified after RL training.
Source finding
USES
Qwen3-30B-A3B-Thinking
Orchard uses Qwen3-30B-A3B-Thinking as its core model.
Source finding
USES
Qwen3.5-397B
Orchard distilled trajectories from Qwen3.5-397B for training.
Source finding
USES
MiniMax-M2.5
Orchard distilled trajectories from MiniMax-M2.5 for training.
Source finding
PARTNERS WITH
Claude Code
Orchard integrates with Claude Code for harness-native agent training.
Source finding
RELEASED
Microsoft -> Orchard
Microsoft Research released Orchard, a framework for training agents in isolated environments.
Source finding

Source trail

Microsoft Research Unchained GitHub/HN arXiv Source Source Source Source Source Hacker News

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