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The CCX Open Format: How to Open and Validate Portable Knowledge Graphs

CCX packages knowledge graphs, context, and source records in a portable .ccx archive. Here’s how to read one and what the draft does—and does not—support.

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To open a .ccx knowledge graph without Chaos Cypher, use the standalone Python package ccx-format (imported as ccx) or its command-line tools. CCX is designed as a self-contained ZIP package with graph data, an embedded JSON-LD context, and source records, so a conformant reader can process it offline. The format is still a draft, however, and its current capabilities are described by Chaos Cypher, the vendor behind its sole reference implementation.

What is a CCX file?

CCX stands for “Chaos Cypher eXchange.” A .ccx file is described as a ZIP archive with a fixed member layout for exchanging knowledge graphs and related material. Its intended portability comes from packaging the data and context together rather than requiring the originating application or a remote context to interpret the graph. The format and reader are described in Chaos Cypher’s September 18, 2026 article.

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What the archive contains

The archive begins with an uncompressed mimetype entry containing application/vnd.ccx+zip. The described layout includes:

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  • manifest.json for package metadata and an inventory of its contents.
  • context.jsonld for the inline JSON-LD context.
  • knowledge.jsonld for the default graph, with optional named graphs under graphs/.
  • sources.jsonl for source and retrieval-chunk records, one JSON object per line. Chunk records point into retained full text using character offsets.
  • Optional shapes.ttl, content-addressed assets under assets/sha256/, and a detached signature at signatures/manifest.sig.

Determinism and integrity

Chaos Cypher’s article says archive entries use the fixed timestamp 1980-01-01 and file mode 0644, so identical inputs produce byte-identical archives. It also describes graph and asset entries as carrying SHA-256 and SHA-512 digests, both of which must match during verification. These are details reported for the draft and its implementation; check the current specification revision before treating them as binding requirements.

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The same article describes reader limits of 100,000 entries, 512 MiB per entry, and 2 GiB total uncompressed package size. These are stated package-reading limits, not measurements of typical file sizes or evidence of independent conformance testing.

How to open, inspect, and validate a .ccx file

The vendor describes ccx-format as the Python package name and ccx as its import name. The package exposes a reader and validator; the CLI offers inspect, validate, and pack commands.

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  1. Install the library: install the Python package named ccx-format in the Python environment you intend to use.
  2. Open the package in Python: call ccx.open_package() with the path to the .ccx file, then call validate() on the opened package. Chaos Cypher’s article documents this API pattern but does not establish compatibility for every library version.
  3. Inspect or validate from a terminal: use ccx inspect to inspect a package and ccx validate to check it. Use ccx pack when creating a package. Consult the installed CLI’s help for exact argument syntax, which is not stated in the article.

Validation is reported as more than a single pass/fail result: it can identify errors and warnings and list the conformance classes the package meets. The named classes are core, sources, shapes, embeddings, and signed. Classes beyond core are independent capabilities, not levels in a ladder; a missing optional component does not, by itself, make a package invalid. Chaos Cypher says a typical full export validates as core, sources, and shapes.

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Why CCX is intended to work offline

A conformant reader is described as rejecting remote HTTP(S) JSON-LD @context references anywhere in the package and loading graph data with network access disabled. The embedded context and retained source text are meant to travel with the graph, so interpretation does not depend on fetching context definitions or source material at read time. This design supports offline use; it does not by itself prove long-term preservation or interoperability across other implementations.

What CCX does—and does not—carry through today

The draft’s advertised package structure should not be confused with complete support for every capability in the originating application. The vendor’s September 18, 2026 account identifies these functional limits:

  • Workflows: workflow data currently carries trigger rows rather than complete workflow definitions. The importer skips this member and issues a warning, so a workflow should not be expected to round-trip.
  • Signatures: the format specifies detached signatures, but Chaos Cypher does not yet emit signed packages. Its exports therefore cannot meet the signed class according to the article.
  • Embeddings: embeddings are optional Parquet sidecars tied to the same embedding model. They are not a model-independent representation.

Chaos Cypher also describes its own export and import behavior: exports are available through Settings and a CLI, while imports upsert by IRI. According to the vendor, locally scoped identifiers are minted and foreign identifiers are preserved on re-export, allowing repeated imports without duplicating content. These are claims about Chaos Cypher’s implementation, not guarantees for every reader or importer.

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Is CCX a standard?

No. Chaos Cypher labels the specification “draft 1 of a 3.0 spec” and says it is revised in place. Its article says there is one reference implementation and that it is not calling CCX a standard until an independent implementation exists. Denis, Founder of Chaos Cypher, put the distinction this way: “We are not calling it a standard.” He also wrote, “A format with a single implementation is a documented format, and that is all we are claiming.” Those are the vendor’s descriptions of the format’s status, not a ruling by an independent standards body.

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Because the specification is revised in place, check its revision marker before relying on a particular behavior or assuming that a given tool targets the latest text. The cited article is a vendor-authored account of the draft and its implementation; it does not establish adoption, third-party interoperability, or conformance by other readers.

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How to judge whether CCX suits an exchange

CCX’s design addresses several useful portability questions: whether graph data and source records travel together, whether the package can be interpreted offline, whether integrity checks and resource limits are described, and whether a reader and validator exist outside the main application. Before using it for a workflow, also verify that the tools at both ends support the optional features you need—especially shapes, embeddings, and signatures—and whether independent implementations can exchange the package successfully. The available vendor account does not compare CCX with named alternatives, so it cannot establish that CCX is more compatible or preferable to another format.

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