DavidAgents

DavidAgents Agent Platform

Tier two · Intelligence layer

Hire AI staff. Real roles, real managers, real audit trails.

Not a chatbot with your logo on it. Named agents with identities your directory governs, durable memory, work queues, wake schedules, and a human manager — driven through the same chat your team already lives in.

The problem

Chatbots answer questions. Companies need staff.

The industry sells you an assistant that forgets everything at midnight, has access to nothing, and answers to no one. Real work needs the opposite: identity that can be held accountable, memory that survives restarts, scoped access to real systems, a manager who reviews output, and an audit trail when something goes wrong. That is an employee-shaped problem — so we built an employee-shaped platform.

Capabilities

Identity-first

Every agent is someone your directory knows

Each agent gets a real identity in your identity provider — its own login, its own scoped roles, its own credentials in the vault. Access is granted like you'd grant it to a hire, revoked the same way, and every action is attributable to exactly one principal.

● our org chart is agents with KC identities

Memory that compounds

They remember — and they get better

Durable per-agent memory survives restarts and model swaps. Nightly "dreaming" cycles prune stale context and distill lessons; a subconscious recall path folds relevant history into every turn. Your agents on day 90 know things your agents on day 1 didn't.

● memory-over-time proven on the live wall

Managed, not loose

Managers, queues, wakes, and approval gates

Agents wake on schedule, work their queues, and report to a manager — human or senior agent — who reviews and reassigns. Anything consequential (external comms, spend, production changes) stops at an explicit human approval gate with a full decision ledger.

● HITL approve/deny re-proven continuously

Chat-native

You drive them where you already work

Mention an agent in chat and it wakes with full context. Give it work in plain language, watch it stream progress, interrupt it mid-task. Voice, email, and SMS route to the same brain — one agent, every channel, one conversation history.

● the chat bubble here is the real fleet

What's inside

The manifest.

  1. 01 Named agent identities directory-governed, vault-backed
  2. 02 Role & manager hierarchy an org chart, not a bot list
  3. 03 Durable memory + dreaming compounding, hygiene-cycled
  4. 04 Wake scheduler cadenced autonomy with cascade control
  5. 05 Work queues owned, reviewable, reassignable
  6. 06 Human approval gates HITL on anything consequential
  7. 07 Full audit trails every action, every decision, attributable
  8. 08 Chat-native operation mention, drive, interrupt
  9. 09 Model agnosticism frontier, local, or per-agent mix
  10. 10 Token budgets per-agent spend caps with graceful degrade

How it lands

Design the team

We map roles to outcomes: what each agent owns, who manages it, what it may touch, and where humans must approve.

Onboard like staff

Agents are provisioned with identity, access, memory pages, and runbooks — onboarded, not hired blind. First week is supervised.

Scale by org chart

Add reports under managers as trust grows. The platform enforces the same governance at ten agents as at one.

Proof

On duty for us, right now.

The chat on this site, the org chart behind it, and the C-suite that reviewed this page's copy are the same agent fleet — roles, managers, memory, audit — that we sell.

checks passing on this line failing last full run

Put Agent Platform on your payroll.

Same platform we run our own company on. First line is a purchase — the second is a decision.

Meet the agents