Hiveram
Hiveram keeps a canonical work graph for AI-native teams: it classifies every work order C1-C4, routes work to the cheapest capable execution tier, and preserves the reasoning that still matters when work moves across agents, sessions, machines, or disconnected environments.
The same task can cost 10x more when it lands on the wrong execution tier. It can also cost another 10x when the next agent has to rediscover the last good understanding from chat history. Hiveram turns both problems into product surfaces: routing policy, explicit authority modes, bounded portable reasoning handoff, and visible scaffold review before continuation.
If your team also uses NeuroRouter, Hivebus, Verdict, or tokencontrol, Hiveram fits into that wider stack. If you do not, Hiveram still stands on its own as the work graph and handoff layer. Hiveram makes AI work portable without making truth ambiguous.
Git shows where code came from. Hiveram shows where work came from, where it lives, and where it is going.
One connected system of record. This is the normal mode for canonical writes, imports, closure evidence, and team coordination. Everyone points at the same ledger before trusting a result.
Intentional offline or disconnected work. Reasoning can move as a bounded artifact, results can come back later, and final application still happens against a reviewed canonical ledger instead of silent background merge magic.
Portable reasoning is the product answer to long sessions, agent specialization, and airgapped environments. Instead of emailing a giant conversation, teams move a bounded bundle: the work order, its live constraints, key decisions, relevant evidence, and a machine-readable mission briefing for the next agent. A senior agent can architect once, then many cheaper or specialized agents can execute from the same bounded truth without rediscovering the project.
Fresh agents start from the current work contract: objective, constraints, decisions, rejected paths, evidence, dependencies, and acceptance criteria. They do not need the whole chat, and they do not have to guess what still matters.
The minimum contract for a short execution pass: immediate objective, targets, files, and reporting expectations.
The bounded reasoning that still matters: decisions, constraints, rejected approaches, dependencies, and evidence.
Frozen full-fidelity context that can be preserved, transferred, and recalled later without forcing it into every live model window.
Every work order carries a complexity tier, model hint, cost estimate, and warning when the claimed model does not fit the task. Provider names can change. The routing logic stays the same.
| Tier | Work shape | Model fit | Cost guardrail |
|---|---|---|---|
| C1 Mechanical |
Fixes, docs, typos, lint, test runs, variable renames. | Small fast model or CLI. | premium-never. Keep routine work off premium reasoning tiers. |
| C2 Implementation |
Implement, add, port, extend, wire, or test known patterns. | Default delivery model or CLI. | Escalate only when execution evidence says so. |
| C3 Judgment |
Design, debug, optimize, security, and work with explicit risks. | Strong reasoning model with review. | Spend more only when underpowered execution is the real risk. |
| C4 Architecture |
Architecture, reframing, pre-mortems, novel problems, vision. | The current frontier model. | Reserve top-tier spend for work that benefits from it. |
One problem, one shared truth. Teams stop multiplying duplicate specs when several agents notice the same thing.
Fresh agents start from the current work contract: objective, constraints, decisions, rejected paths, evidence, dependencies, and acceptance criteria. They do not need the whole chat, and they do not have to guess what still matters.
Export a focused work package, email or file-copy it somewhere else, and get back a reply that still carries provenance and reviewable intent.
See the current tip, the recent path that supports it, and which claims still bear weight before a fresh session continues. Teams stop restarting from transcript folklore.
See what flew out, what came back, what branched, and what was applied. Handoff becomes auditable instead of folkloric.
Disconnected teams can keep reading the shared backlog, queue delayed writes intentionally, and apply them later instead of pretending local state was canonical all along.
Choose the buy path first, then choose custody. Hiveram can run locally, customer-hosted, or managed. Pricing and deployment mode are separate on purpose.
Hiveram owns the work graph, work orders, authority, bundles, evidence, and provenance. NeuroRouter decides what slice of that graph enters the live model window. tokencontrol executes ready work. Hivebus can sit upstream for intake and diagnosis. Those layers compose well, but Hiveram does not require them to make sense.
Canonical work graph, bundles, checkpoints, provenance, and handoff without needing a context proxy.
Live-window shaping, continuity protection, and focused execution without a shared durable work graph.
Hiveram stores the shared truth. NeuroRouter decides what slice of that truth reaches the model right now. Portable bundles are the bridge.