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TheOrc v1.11.2

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@github-actions github-actions released this 03 Jul 05:29
· 160 commits to master since this release
v1.11.2
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TheOrc — Build Complete

TheOrc v1.11.2

100% local AI coding assistant — no cloud, no subscriptions, no data leaving your machine.

What's new in v1.11.2

Context Fabric becomes real product surface, not just architecture. CF-0 through CF-8 are now landed on master: deterministic ingestion, document graph retrieval, native readers/reducers, OrcChat Library attachment, verified citation labels, citation popup/source opening, distributed HIVE readers, benchmark-gate contracts, and hard-ingestion support for structured formats, OCR contracts, immutable versions, cache policy, vectors, and cross-links. The honest caveat stays intact: unattended million-token/LongBench runs and full multimodal page understanding are future benchmark/product work, not release claims.

Phase 3B native campaign engine ships. The HIVE MIND can now coordinate native-runtime campaign work instead of pretending distributed shell access is the product. This release lands the first full campaign-engine slice: typed campaign/work-unit contracts, capability-aware leasing, content-addressed model and artifact storage, worker-side native execution plumbing, verifier-oriented result metadata, and the first showcase packs including Native AI Eval Factory and Alien Signal Search.

OrcChat grows into a real modern chat surface. Chat now has a first-class tool pack built around the workflows people actually use in web chat: web search, page fetch, URL fetch, workspace browse/search/read/write, outline, test runs, and markdown document generation. It also gains file attachments and image attachments: images are carried through the multimodal message payload, text-like attachments are inlined into the prompt, and generated markdown docs come back as clickable links right in the conversation.

Release-quality native/runtime plumbing behind the scenes. The shared native runtime now sits in its own cross-platform project, headless agent-loop work can run without Ollama, and campaign/worker execution uses the same native path instead of an Ollama fallback. The release pipeline and tests were expanded around this path, and the final pass verified the OrcChat attachment/tooling slice plus the Phase 3B unit suite before tagging.

🪟 Windows — one-click install (recommended)

  1. Download OrchestratorSetup.exe below
  2. Run it — the wizard detects your GPU, downloads the right runtime and model, configures everything
  3. Launch from the Desktop shortcut or Start Menu

Portable: download TheOrc-1.11.2-win-x64-portable.zip instead — contains both OrchestratorIDE.exe and OrchestratorSetup.exe, extract both to the same folder, run OrchestratorIDE.exe.

🍎 macOS (Apple Silicon)

  1. Download OrchestratorSetup below (no extension)
  2. In Terminal: chmod +x OrchestratorSetup && ./OrchestratorSetup
  3. First launch will show a Gatekeeper warning ("cannot be opened because the developer cannot be verified") — this build isn't code-signed yet. Right-click the file → Open, or run xattr -d com.apple.quarantine OrchestratorSetup first.
  4. The wizard detects your hardware, downloads the right runtime and model, configures everything

Portable: download TheOrc-1.11.2-osx-arm64-portable.tar.gz instead — tar -xzf it, both binaries are already executable.

Intel Macs (osx-x64) aren't built yet — only Apple Silicon.

🐝 Warband (headless HIVE node, no GUI)

Deploy theorc-warband on any machine you want to join your HIVE without opening the
full app — a cloud box, a home-lab server, a Raspberry Pi. Download the binary for your
OS below, chmod +x theorc-warband, then either run it directly or set it up as a
systemd service (Linux) / launchd agent (macOS) so it survives reboots. See
--show-identity and --pair --target <host> --expect-fingerprint "<phrase>" for
joining an existing HIVE headlessly.

🖥️ System requirements
OS Windows 10/11 (x64) · macOS (Apple Silicon)
.NET Not required — fully self-contained
GPU NVIDIA RTX (CUDA 12) · AMD (Vulkan) · Apple Silicon (Metal) · CPU-only (AVX2 / baseline)
RAM 8 GB minimum · 16 GB recommended

Full changelog: v1.11.1...v1.11.2

Built from v1.11.2 · .NET 10 · Source · Support the Orc ☕

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