Private AI systems for scattered knowledge

Make your team’s knowledge feel immediate.

Fieldkraft turns inboxes, docs, chats, and tools into a working system: capture the useful stuff, keep the source trail, route the right task, and let humans stay in control.

See the system Talk through workflow

Capture

Retrieve

Route

Verify

live operating loop

messy inputs → memory → route → action

Capture

#inbox

The useful stuff gets caught.

Notes, docs, links, chats, payments, schedules, and project history stop disappearing into tabs.

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Under the hood: vector memory, model routing, MCP tools, sandboxed execution.

What it feels like

Less hunting. More knowing what to do next.

The goal is not another dashboard. It is a working memory and action layer for teams that keep losing context across inboxes, docs, chats, calendars, payments, and project tools.

One place for the mess

Drop the scattered stuff—Discord notes, links, documents, tickets, calls, and decisions—into a private system that keeps the source trail intact.

#inboxdocslineagecapture

Answers that know the history

Ask for context and get back the relevant source, prior decision, and next useful step instead of another generic summary.

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Agents that know when to ask

Let AI move the routine work while routing risky decisions through humans, policies, status, and safe execution paths.

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Under the hood

The cutting-edge stack is there when it matters.

After the first outcome is clear, Fieldkraft brings the serious machinery: private corpus design, vector retrieval, model choice, MCP tools, sandboxing, approvals, observability, and recovery.

Bring the workflow that keeps slipping →

#inbox capture for links, notes, chats, docs, and decisions

Karpathy-style conversation exports with privacy and lineage

Qdrant, LanceDB, or pgvector memory over private corpuses

Model routing for fast, deep, tool-use, local, and vision tasks

MCP tool harnesses with policies, approvals, and status signals

Cloud sandbox execution for risky code, browsing, and ingestion jobs

Human verification paths with audit logs, recovery, and rollback

System flow

Capture, recall, move, verify.

Capture

Pull the useful things out of the daily stream without forcing people into a new notes ritual.

Recall

Bring back the right context, source, and prior decision when someone needs to act.

Move

Route the task through a model, tool, sandbox, or human approval path with visible status.

Proof standard

The magic is not autonomy. It is knowing what happened, why, and what is safe to do next.

Every useful loop needs a source trail, a policy for action, a human escape hatch, and status operators can read. The stack stays powerful because it stays accountable.

Map the first loop