datachain
The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure
DataChain is an agent skill that provides AI coding assistants with structured access to unstructured data stored in S3, GCS, and Azure. It transforms cloud files into typed, versioned datasets with a dedicated Knowledge Base that agents can read and query. The skill enables AI agents to generate data pipelines, perform similarity search, and build incremental processing workflows without copying bytes from cloud storage. Once installed, agents can understand dataset schemas, join metadata, apply filters, and chain operations across millions of files.
Key Features
Use Cases
- 01Enable AI agents to find similar images in cloud storage using vector embeddings combined with metadata filters
- 02Generate data pipelines through natural language prompts where agents decompose tasks into versioned dataset steps
- 03Process new files incrementally in production buckets without re-computing existing results
- 04Build queryable metadata indexes over millions of images, videos, or documents in S3/GCS/Azure
- 05Create shared dataset registries for teams with automatic schema enforcement and version management
- 06Resume failed processing jobs from checkpoints without losing completed work
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datachain — FAQ
What is the DataChain agent skill?+
DataChain is an agent skill that gives AI coding assistants the ability to work with typed, versioned datasets stored in cloud object storage (S3, GCS, Azure). It provides a Knowledge Base and dataset operations that agents can read and execute to build data pipelines.
How do I install the DataChain agent skill?+
First install DataChain with `pip install datachain`, then run `datachain skill install --target claude` (or cursor, codex, copilot, pi) to install the agent skill for your preferred AI coding assistant.
Which AI clients work with DataChain?+
DataChain supports Claude Code, Cursor, Codex, GitHub Copilot, and Pi as agent clients. On DataChain Studio, agents can also access datasets over MCP protocol.
Do I need API keys or cloud credentials to use DataChain?+
For public buckets you can use the `--anon` flag. For private S3, GCS, or Azure storage, you need the appropriate cloud credentials configured on your system. No separate DataChain API key is required for local use.
Is DataChain free to use?+
Yes, the core DataChain library and agent skill are open source and free to use locally. DataChain Studio is a separate commercial product that adds shared registries, distributed compute, and team collaboration features.
What happens when I re-run a DataChain pipeline?+
DataChain automatically skips unchanged files when `delta=True` is set, processing only new or modified data. Failed pipelines resume from the last completed checkpoint, and each run increments the dataset version.
How do I install datachain?+
Open the source repository on GitHub and follow its README. datachain is a skill — MCP Agents Market links you directly to the official repo.
Is datachain free?+
datachain is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.