Extracts decisions, open questions, action items, cited facts, and topics from one stored conversation without calling a model.

Adds new turns to an existing conversation, which is how a thread continued in a second client stays one thread.

Returns recent LNKZ events: saves, imports, handoff creation, redemption, rejection, and revocation.

Builds a graph over the stored conversations: nodes for conversations, decisions, open questions and shared topics, and edges for lineage, shared subject matter, near duplicates and contradictions. Answers the questions search cannot: what this corpus knows, which decisions everything else leans on, and which conversations stand alone. Every edge carries the reason it exists.

Assembles a token-budgeted brief from stored conversations and connected sources: decisions, open questions, action items, a recent excerpt, and any contradictions between chats. Use this instead of pasting a whole transcript.

Redeems a handoff and stores the continuation as a new conversation in this client, linked back to the original so the chain stays walkable.

Mints an expiring, use-limited bearer link that another person, device, or LLM client can redeem for portable context. Optionally redacts secrets before the packet leaves.

Permanently removes a conversation, its messages, and its handoffs.

Writes a stored conversation back out in another client's format: a Markdown transcript, a Markdown brief with the decisions on top, a chat-completions message array, a ChatGPT-shaped export, a Claude-shaped export, a LNKZ packet, or plain text. Every format re-imports, so a conversation can leave LNKZ as easily as it arrived.

Compares decisions across recent conversations and reports pairs that appear to disagree. Heuristic: it surfaces candidates for review, it does not adjudicate them.

Reports conversations whose transcripts overlap heavily, which happens whenever the same chat is relayed through more than one client.

Loads a stored conversation with its messages, lineage, extracted decisions, and a portable Markdown transcript.

Normalizes a ChatGPT, Claude, Gemini, LNKZ, Markdown, or plain-text transcript into portable conversations. Format is detected automatically unless one is given.

Shows which context sources are configured and which are disabled, with the reason.

Lists stored conversations newest first, optionally filtered by provider, tag, or participant.

Shows issued handoffs with their expiry, remaining uses, audience, and revocation state. Tokens are never returned.

Connects to every configured downstream MCP server and lists the tools it exposes, marking which ones look like writes. Configure targets with LNKZ_MCP_TARGETS as name=url, optionally name=url|key. This is discovery only: it reads what is available and changes nothing.

Maps a conversation onto a downstream MCP tool's input schema and returns the exact call that would be made, including which required fields it could not fill. It never sends anything. Review the payload, then make the call yourself with that server's own tool if you want it to happen.

Loads the portable packet behind an unexpired LNKZ handoff token, including the transcript and the extracted decisions and open questions.

Immediately invalidates a handoff link that has already been shared.

Stores a normalized conversation from any LLM client or device so it can be searched, packaged, or handed off.

Searches LNKZ conversations plus every configured connector (Slack, Jira, Figma, documentation feeds, and any federated MCP server) in one call, reporting per-source failures instead of hiding them.

Full-text ranked search across saved chats by title, summary, participant, tag, or message content.

Counts stored conversations and messages, the providers they came from, and active handoffs.