AIエージェント
AppAgent
AppAgent — Tencent's multimodal agent that learns smartphone apps by exploration, then operates them.
★ 6.9k スターMIT
ガイドを見る →morphik-coreは、morphik-orgが公開しているオープンソースのAIエージェントプロジェクトです（GitHub: morphik-org/morphik-core）。GitHubスターは3,715、フォークは330で、NOASSERTIONライセンスの下で公開されています。GitHubでの最終更新は2026年10月5日です。
An open-source multimodal retrieval engine for agent pipelines.
Write down the task or workflow you want the agent to handle.
Clone the repository and read the README's prerequisites.
Install dependencies and configure keys or endpoints.
Run the sample script and check the output against the docs.
Search across text and images.
Rules-based document parsing.
Efficient retrieval patterns.
Modern visual-document retrieval.
Fits agent pipelines.
Pushed in October 2026.
Download the source and move into the project folder.
git clone https://github.com/morphik-org/morphik-core.git
cd morphik-coreCreate a virtual environment and install the requirements.
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtTreat these as starting points - the README documents the exact commands.
python examples/quickstart.pyThe project lives at morphik-org/morphik-core and has attracted 330 forks. Browse its commit history and contributor list for a sense of maintenance pace.
GitHub does not assert a license for this repo, so treat the code as all rights reserved until the author adds one.
The engine is self-hosted and free; any embedding or model APIs you plug in may bill separately.
Morphik bundles ingestion, multimodal embeddings, and retrieval into an engine; plain vector search is just the index. Reach for Morphik when document complexity defeats naive chunking.
The README and the official docs site are the fastest path: run the quickstart example first, then adapt it to your use case.
AppAgent — Tencent's multimodal agent that learns smartphone apps by exploration, then operates them.
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