RecallForge v2.2.0 — Multimodal Material Intelligence

RecallForge v2.2.0 — Multimodal Material Intelligence

RecallForge can now begin where real exam preparation usually begins: lecture slides, PDFs, scans, images, and past papers.

Highlights

• Multimodal Material Intelligence: page/slide-level routing from native text, host vision, and optional local OCR, fused into a source-grounded StudyDocument IR with zero silent page drops.
• Source-grounded adaptive review: every reconstructed concept, past-paper question, and uncertain formula keeps a source anchor; knowledge structure → diagnostic recall → weakness diagnosis → corrective teaching → follow-up practice.
• Better first-use experience: 30-second $recallforge self-test, $recallforge multimodal-test, $recallforge inspect-materials, bilingual guides, and clean-room verified ZIP/Plugin packages.

What is included

• PPT/PPTX: slide order, titles, text boxes, native tables, speaker notes, image/chart blocks, spatial layout, source anchors.
• Digital PDF: per-page native text and layout blocks with selective visual verification.
• Scanned PDF and images: per-page scan detection, host-vision-first routing, optional local OCR fallback.
• Past papers: question/options/score/subquestion structure; printed answers stay separate from user or unknown annotations.
• Formulas and tables: raw/interpreted formula pairs with confidence; headers/rows/cells preserved; conflicts stay uncertain rather than silently rewritten.
• Diagram-heavy subjects: chemical structures and biological figures remain visual concepts; visual emphasis and explicit teacher wording are treated as source-bounded evidence.

Verification

• Full automated suite: 215 passed locally; GitHub Actions passes on Ubuntu 24.04, Windows, and macOS.
• Official Skill and Plugin validators pass; clean-room ZIP/Plugin install tests pass.
• Real Codex host E2E (Codex 0.147.0, Windows 11): /skills discovery, text self-test, multimodal self-test, functional test, and a real material review (16 lecture decks + 30-page scanned past-paper PDF; 1047 slide/page units + 30 exam pages) all passed. Evidence: verification/host-verification-template.json.
• Local OCR is optional and experimental. Reference results (CPU): Tesseract 5.5.0 mean CER 0.2578; RapidOCR 1.2.3 mean CER 0.2492 across 10 self-authored fixtures. Neither engine is treated as verified understanding; host vision remains the recommended path.

Known limitations

• Local OCR cannot verify formulas, diagrams, table layout, or exam structure alone.
• Scanned pages with rotation, stitching, handwriting, and legacy PPT visual rendering remain recognition boundaries that are reported rather than silently accepted.
• Host vision quality depends on the host/model and is not claimed as universally verified.

Installation

Most users should download: recallforge-skill-v2.2.0.zip

1. Extract the zip and copy the recallforge folder to %USERPROFILE%\.agents\skills (Windows) or ~/.agents/skills (macOS/Linux).
2. Start a new Codex turn.
3. Run $recallforge self-test and confirm Status: READY.
4. Attach course materials and run $recallforge inspect-materials before starting review.

Plugin users: recallforge-plugin-v2.2.0.zip provides the skills-only Plugin package.

中文摘要

RecallForge v2.2.0 是本项目第一个“多模态资料智能”正式版本。它不再要求用户先把 PPT、扫描教材、往年试卷整理成 Markdown，而是从真实原始资料开始：逐页/逐幻灯片路由、原生文字、宿主视觉与可选本地 OCR 融合，并始终保留来源锚点和不确定性标记，再进入知识重构、主动回忆、薄弱点诊断、纠正教学与模拟考试。

最常用下载文件：recallforge-skill-v2.2.0.zip

Assets

• recallforge-skill-v2.2.0.zip — recommended manual / Codex Skill installation
• recallforge-skill-v2.2.0.tar.gz — macOS/Linux archive
• recallforge-plugin-v2.2.0.zip — skills-only OpenAI plugin adapter
• SHA256SUMS.txt — asset checksums

Upgrade notes

v2.1.3 was an internal tagged packaging correction and did not receive a formal GitHub Release. Users upgrading from v2.1.2 can replace only the recallforge Skill folder and rerun $recallforge self-test.

RecallForge v2.1.2

RecallForge v2.1.2

RecallForge is now distributed primarily as a host-installable Agent Skill.

Getting started

1. Download recallforge-skill-v2.1.2.zip.
2. Extract it and copy the recallforge folder into your AI host's Skill directory.
3. For Codex user installation, use %USERPROFILE%\.agents\skills\recallforge on Windows or ~/.agents/skills/recallforge on macOS/Linux.
4. Start a new Codex turn.
5. Run $recallforge self-test.
6. Confirm Status: READY, then attach or paste your authorized course material.

Downloads

• recallforge-skill-v2.1.2.zip — recommended manual/Codex Skill install
• recallforge-skill-v2.1.2.tar.gz — macOS/Linux archive
• recallforge-plugin-v2.1.2.zip — skills-only OpenAI Plugin package
• SHA256SUMS.txt — archive checksums

What's new

• Host-native skill/recallforge/ layout with SKILL.md, OpenAI UI metadata, references, and self-test material.
• Explicit $recallforge flow, carefully bounded implicit trigger design, and negative trigger fixtures.
• Windows, macOS, Linux, and repo-local Codex documentation.
• Validated skills-only Plugin distribution; no MCP server, backend, database, or API service.

中文说明

RecallForge 现以可安装到 AI 宿主中的 Skill 为主。普通用户下载 recallforge-skill-v2.1.2.zip，将 recallforge 文件夹复制到 Codex Skills 目录，开启新对话后运行 $recallforge self-test；出现 Status: READY 即可开始复习。

RecallForge v2.0.4

RecallForge v2.0.4

First public release of RecallForge — AI Exam Review Skill.

Most users should download recallforge-skill-v2.0.4.zip, extract it, then run:

python -m pip install .
recallforge --help

Included: ZIP, tar.gz, and SHA256SUMS.txt.

中文说明

普通用户请下载 recallforge-skill-v2.0.4.zip，解压后运行 python -m pip install . 和 recallforge --help。

RecallForge v2.0.3

RecallForge v2.0.3

First public release of RecallForge — AI Exam Review Skill.

Highlights

• Evidence-grounded material understanding and knowledge reconstruction
• Active recall, adaptive quiz modes, real-answer diagnosis, and wrongbook-driven review
• Exam mapping, multi-course planning, reports, mock-exam output, and time-boxed cram modes
• Chinese, English, bilingual output, and mixed-language terminology support

Installation

Most users should download recallforge-skill-v2.0.3.zip, extract it, then run:

python -m pip install .
recallforge --help

Included assets

• recallforge-skill-v2.0.3.zip — recommended package for most users
• recallforge-skill-v2.0.3.tar.gz — archive for macOS/Linux users
• SHA256SUMS.txt — SHA-256 checksums

中文说明

RecallForge 正式首次公开发布。普通用户请下载 recallforge-skill-v2.0.3.zip，解压后运行：

python -m pip install .
recallforge --help

RecallForge v2.0.1

RecallForge v2.0.1

Packaging maintenance release. It removes stale release artifacts before generating checksums, so SHA256SUMS.txt contains only the current RecallForge archives.

Most users should download recallforge-skill-v2.0.1.zip, extract it, and run:

python -m pip install .
recallforge --help

中文说明

这是打包维护版本：校验文件只包含当前 RecallForge 发布包。普通用户请下载 recallforge-skill-v2.0.1.zip。

RecallForge v2.0.0

RecallForge v2.0.0

First public release of RecallForge — AI Exam Review Skill.

Highlights

• Evidence-grounded material understanding and knowledge reconstruction
• Active recall, adaptive quiz modes, real-answer diagnosis, and wrongbook-driven review
• Exam mapping, multi-course planning, reports, mock-exam output, and time-boxed cram modes
• Chinese, English, bilingual output, and mixed-language terminology support

Installation

Most users should download recallforge-skill-v2.0.0.zip, extract it, then run:

python -m pip install .
recallforge --help

See the bilingual README and Getting Started guides for a complete walkthrough.

Included assets

• recallforge-skill-v2.0.0.zip — recommended package for most users
• recallforge-skill-v2.0.0.tar.gz — archive for macOS/Linux users
• SHA256SUMS.txt — SHA-256 checksums

Known limitations

Core TXT processing is local. Optional document parsing and external multimodal provider setup are needed for additional formats and image-heavy/scanned material. Unresolved content is reported rather than fabricated.

中文说明

RecallForge 首次公开发布。普通用户请下载 recallforge-skill-v2.0.0.zip，解压后运行：

python -m pip install .
recallforge --help

包含 ZIP、tar.gz 与 SHA256 校验文件；完整中英文安装说明见 README。