Skip to main content

linkedparticles-core

linkedparticles.org · docs.linkedparticles.org · PyPI · Apache-2.0

Particles is shared memory for humans and AI agents. Each particle is one claim, plus what you need to judge it: who said it, where, when, and how confident they were. Facts, opinions, and memories are all claims, recorded the same way as particles. Particles are not edited or deleted. Particles are superseded, retracted, or disputed in the open. How much to trust it is a perspective applied at query time, never baked into the record.

linkedparticles-core is the store-free Client layer of the Particles reference implementation: the schema and its invariants, the validators, the wire format, and the extraction pipeline. Everything you need to make and check particles — with no database, no graph, and no accumulated state.

Most people want the other package

If you want to run a knowledge store — deposit sources, extract beliefs, query with provenance, lint for contradictions, plus an HTTP API, a CLI, and an MCP server — install linkedparticles instead. It depends on this package and pulls it in automatically. This one is the substrate underneath it. Its repository — particles-engine-py — is the reference implementation's front door: issues, discussion, and documentation live there.

Install

pip install linkedparticles-core

Python 3.11+.

What it gives you

from particles.conformance.jsonschema import validate_particle_dict
from particles.core.schema import Confidence, Particle, UncertaintyNature
from particles.interchange import from_unit, to_unit

p = Particle(
    content="Pluto is a dwarf planet.",
    confidence=Confidence(value=0.95),
    uncertainty_nature=UncertaintyNature.EPISTEMIC,
    asserted_by="iau-2006",
)

validate_particle_dict(p.model_dump(mode="json"))   # [] — valid against the normative JSON Schema
unit = to_unit(p, [])                               # JSON-LD interchange unit
from_unit(unit)                                     # …and back again
{
  "@context": "https://linkedparticles.org/schemas/context.jsonld",
  "@type": "Particle",
  "formatVersion": "1.0",
  "schemaVersion": "1.0.0",
  "sourceParticleId": "632994da-f26d-4b4a-b288-9d9ad8f22856",
  "particleType": "CLAIM",
  "content": "Pluto is a dwarf planet.",
  "confidenceValue": 0.95,
  "calibrationSource": "EXTRACTOR_DIRECT",
  "uncertaintyNature": "EPISTEMIC",
  "assertedBy": "iau-2006",
  "assertedAt": "2026-08-23T22:42:34.936574+00:00",
  "status": "ACTIVE",
  "provenance": [],
  "subjects": []
}

That @context is a live identifier: it resolves, byte for byte, to the normative artifact published at linkedparticles.org.

What is in here

  • The schema models and their invariants — a stored confidence.value is immutable, status moves only through the validated transition table, and the Core/Extension split is enforced rather than documented.
  • The extraction layer — source bytes to candidate particles with confidence, uncertainty, provenance, and unresolved subject names. Extractor plugins register here.
  • Conformance validation — the normative JSON Schema and the five SHACL shapes, shipped inside the wheel, so validation works from an installed package and not only from a checkout.
  • The interchange codec — pure JSON-LD / JSON Lines / YAML-LD, no I/O.
  • The completion-provider port, embeddings, confidence math, and the validating HTTP transport.

Anything that holds or reasons over accumulated state — reconciliation, subject resolution, querying, linting, review — is deliberately absent. That lives in linkedparticles.

Reach for this package alone when

  • you are validating or exchanging particles produced elsewhere, and do not want a store, a driver, or a migration path;
  • you are producing particles for someone else's engine — an extractor, an importer, a service that emits interchange units;
  • you are implementing the standard in your own system and want the reference schema, validators, and conformance artifacts to check against;
  • you already depend on linkedparticles and want to import from the Client half explicitly.

Both distributions ship under the same import package, particles, split along the Client/Engine line, and always at the same exact version. Installing the engine installs this; the reverse is not true, and importing a store-layer module from a core-only install is a clean ImportError rather than a surprise.

Security posture

The two controls that matter most in an agent-memory stack ship in this package, because this is where untrusted bytes meet the model:

  • Prompt-injection fencing. Every LLM call site that touches attacker-controllable text keeps trusted instructions in the system turn and wraps the untrusted material in a per-call, 128-bit-nonce data fence, with a JSON contract enforced at the parser behind it. The nonce is unguessable, so injected text cannot forge a closing delimiter. This raises the bar materially. It is hardening, not immunity.
  • A validating fetch transport. Outbound requests resolve the host, check the address against a blocklist, and connect to that vetted address — re-resolved and re-validated on every redirect hop, closing DNS rebinding and redirect SSRF rather than only the first lookup.

Behind both: the model is never given tools, and no model output is ever executed. Nothing it emits becomes a shell command, a SQL fragment, or a fetch, so an injection can at worst distort claims — never trigger actions.

The whole package was audited adversarially before it was opened; the verdict, verbatim, was GO-WITH-FIXES with 33 findings — 2 High, 7 Medium, 20 Low, 4 Info — the ranked must-fix set merged the following day, and the last open finding closed in v1.128.0. Trust model, known limitations, and how to report a vulnerability privately: SECURITY.md.

Documentation

The SDK documentation at docs.linkedparticles.org covers both distributions — its API reference spans the Client and Engine halves together. The standard itself — whitepaper, technical specification, and the normative schema, context, and vocabulary artifacts — is published at linkedparticles.org.

The three repositories

Repo What it is
particles-standard The standard: whitepaper, technical specification, normative schema + SHACL artifacts, conformance fixtures
particles-core-py This repo — the Python Client layer (linkedparticles-core)
particles-engine-py The Python Engine layer + surfaces (linkedparticles)

Contributing

See CONTRIBUTING.md and ARCHITECTURE.md. Contributions are accepted under a Developer Certificate of Origin sign-off — there is no CLA.

License

Apache-2.0. See LICENSE and NOTICE.

Release files for linkedparticles-core 1.139.8

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for linkedparticles-core 1.139.8
File Size Uploaded
linkedparticles_core-1.139.8.tar.gz 441.9 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for linkedparticles-core 1.139.8
File Interpreter ABI Platform
linkedparticles_core-1.139.8-py3-none-any.whl Python 3 none any Details

Total release size: 884.6 kB

Release files / linkedparticles_core-1.139.8.tar.gz

Download URL linkedparticles_core-1.139.8.tar.gz
Size 441.9 kB
Tags Source
SHA-256 checksum
How to use checksums
47be0c25f4db07994cc9fdb328fe8be52da5c45113632a850ffb5f30e35f7e2c
BLAKE2b-256 checksum
How to use checksums
7fc1991f9280787355c683a04577d2ae138393ffcdc3c6c57c9f7dfeb99011ae
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 13, 2026.

Transparency log

Release files / linkedparticles_core-1.139.8-py3-none-any.whl

Download URL linkedparticles_core-1.139.8-py3-none-any.whl
Size 442.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
258a9bc466ed27efaffc79d5e321dc7455f4f51f54b5a81b94190784ff8e0080
BLAKE2b-256 checksum
How to use checksums
a9b782c5f02adfb3dcf9218f33e735e01c61629b44bfe7d587136fadff70e9df
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 13, 2026.

Transparency log

Release history Release notifications | RSS feed

This release

1.139.8 This release

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page