💬A vCon Primer
Explains what a vCon is, why conversations need their own file format, what sits inside one, and where vCon work stands at the IETF, for readers new to the standard.
By Thomas McCarthy-Howe, CTO, Strolid.
A vCon (virtual conversation) is a portable, verifiable container for one conversation. It is a JSON object that holds who took part, what was said, what has been learned from it since, and the files that explain why it happened. The format is being standardized in the IETF VCON working group as draft-ietf-vcon-vcon-core, currently revision 04 with syntax "vcon": "0.4.0".
What a vCon is
A vCon is to a conversation what a PDF is to a document or a vCard is to a business card. The same shape works for a phone call, a chat session, an email thread, a video meeting, or a conversation between a person and an AI agent. A simple example is the last call you had with a customer service agent: the vCon identifies the people on the call, carries the recording or transcript, holds analysis such as a summary, and attaches supporting documents.
A vCon can be built after the conversation ends or updated while it is still in progress. It can be stored on disk, attached to an email, or sent across a network. When it leaves the security domain that built it, the core draft says it SHOULD be signed (JWS) or encrypted (JWE). A signed vCon is tamper-evident: any change after signing invalidates the signature. Signing is a recommendation, so an unsigned vCon is still a valid vCon.
Why conversations need a file
Conversations carry decisions, negotiations, commitments and complaints, yet they have rarely existed as one coherent digital object. A recording lives in one platform, the transcript in another, consent records somewhere else, and AI summaries get copied into a CRM. Every tool sees a fragment.
That was tolerable while people reviewed a handful of calls. It stops being tolerable when models and agents summarize, classify and act on every conversation. A model reasoning over a summary of a transcript that has been detached from its recording and its consent record is working from a partial copy, and it fills the gaps by inference.
Other kinds of content crossed this line long ago. Documents got portable formats, calendars got iCalendar, contacts got vCard, and ecosystems formed around each. vCon proposes the same for conversations: one object that keeps the media, the participants, the analysis and the related records together as the conversation moves between systems. The Conserver is open source infrastructure that builds, enriches, stores and forwards those objects.
Three pressures make this more urgent now.
AI agents talk to customers. There is no shared record of what an agent said, on whose behalf, or under what authority. A vCon can hold that record, including the agent as a party.
Synthetic media is harder to spot. A fabricated recording fed into an AI pipeline is the conversational analog of malware injected into a software supply chain. A signed vCon lets a recipient check who produced it and whether it changed.
Permissions do not travel today. Consent usually lives in a privacy policy or a separate database, apart from the conversation it covers. The Lawful Basis extension puts the legal grounds for processing inside the vCon, scoped by purpose and time, so any system that receives it can check before acting.
Inside a vCon

Core-04 defines four arrays inside the top-level object, alongside uuid, created_at and the vcon syntax version. The field reference lists every field.
Parties identify who took part, human or bot, by tel, sip, mailto, did, name and organization. A validation field records how identity was checked.
Dialog holds the conversation itself: recordings, video, text messages. Media can be inline, for a vCon that ships as one file, or referenced by URL with a content_hash, when the recordings live on their own storage.
Analysis holds what has been derived from the dialog: transcripts, summaries, sentiment, model outputs. Each entry names the dialog it was derived from and the vendor, and optionally the product, that produced it.
Attachments carry the context the conversation depended on, such as a sales lead, a CRM record or an inbound form. Extensions use attachments too. A lawful basis record is an attachment with purpose: "lawful_basis".
Consent is not a core component. It is defined by the Lawful Basis extension, one of several extensions that build on the core container.
A vCon can also be redacted or amended. A redacted vCon removes data for a given audience and points back to the original, so a recipient can tell it was derived without seeing what was removed. An amended vCon adds to a prior version and references it.
The hard part
Conversations are among the most valuable and the most sensitive data a business holds. Renewals, complaints, objections and agent errors show up in conversation long before they reach structured data. Voices and faces are biometric identifiers a person cannot change, and conversations routinely include health, financial and family details, plus named third parties who never agreed to be discussed.
vCon gives a business tools for holding both sides:
Lawful basis in the file. With the Lawful Basis extension, each downstream system can see what processing is permitted and refuse to act outside that scope.
Redaction as a defined operation. A redacted vCon can go to one audience while the unredacted original stays controlled.
Signatures. A signed vCon shows who signed it and whether it has changed since.
A lifecycle record. The Lifecycle extension records events such as creation, sharing, consent revocation and deletion on a SCITT transparency service. The log is append-only and tamper-evident, and an auditor can verify receipts without trusting the operator's database.
None of this removes the tension between value and sensitivity. It makes the handling auditable in software instead of in policy documents.
Data subject rights in practice
When conversations live in vCons, the rights in the GDPR and similar laws map onto concrete operations. The Lawful Basis draft is the document that requires implementations to support them; the core draft does not.
Access. A query against structured objects instead of a search across systems.
Rectification. A new analysis entry or an amended vCon, recorded alongside the original.
Erasure. Deletion across every store that holds the vCon, with a
vcon_deletedevent recorded under the Lifecycle extension.Restriction and objection. The purposes granted in the lawful basis record, which downstream systems can read before processing.
Portability. The vCon itself, in an open format.
Automated decision making. The analysis entries name the vendors and products that processed the conversation.
The Privacy Primer covers the vocabulary. In GDPR terms a "natural person" is an individual human being, as opposed to a legal person such as a company.
Where vCon is running
The TADSummit vCon Progress Report (August 2025) describes an alliance between Strolid and Frontline Group and a vCon pilot with 211 contact centers, the U.S. social services help line. Frontline's own announcement is here. Other public talks and articles are collected under Talks, Articles and Press.
Standards status
As of 2026-10-06, datatracker lists four VCON working group documents, all in the "WG Document" state: draft-ietf-vcon-vcon-core-04, draft-ietf-vcon-overview-02, draft-ietf-vcon-privacy-primer-01 and draft-ietf-vcon-cc-extension-02. The extensions on this site (lawful basis, lifecycle, WTF transcription, agent session, SIP signaling) are individual drafts.
No IPR disclosures had been filed against draft-ietf-vcon-vcon-core as of the same date, according to the datatracker IPR search. Anyone can read the drafts, join the mailing list and raise an objection in writing.
What to read next
Concepts for the vocabulary
Field Reference for every field and draft revision
Privacy Primer for lawful basis and personal data
The Journey of a vCon for a vCon moving through a pipeline
Conserver Quick Start to run a pipeline on your machine
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