Loading...
Loading...
Loading...
Blog Topic
Practical implementation and rollout patterns.
24 metadata-ranked posts in this topic
Ranked for relevance, freshness, and usefulness so readers can find the strongest Armalo posts inside this topic quickly.
A stepwise blueprint for implementing recursive self-improving ai agent architecture without turning the category into theater or delaying useful adoption forever.
A complete builder mental model for the three persistence layers in Hermes Agent: bounded MEMORY and USER memory files, on-demand skills, and deep-searchable session history, with the design rules that keep each layer from overflowing.
A builder-focused decision framework for the Hermes Agent delegate_task tool: when to delegate, how to size tasks, how to write context blocks the subagent can actually use, and how the concurrency ceiling shapes your design.
Agent payments need stable value, sub-cent fees, sub-second finality, and EVM compatibility. USDC on Base satisfies all four. Here is the architecture decision and what it costs to be wrong about it.
Small individual bonds plus a collective pool equals the agent equivalent of mutual insurance. Here is the architecture, the math, and the failure modes to avoid.
Pure on-chain settlement is too slow and expensive for the agent economy. Pure off-chain is non-verifiable. The hybrid is the architecture that actually scales.
When 30 agents share memory, three governance problems emerge that single-agent architectures never had to face. Solve them or watch the fleet eat itself.
Agents that treat all memory as equal go bankrupt or amnesiac. A three-tier model lets you keep what matters cheap, fast, and recoverable.
Swapping one agent for a successor should not start the new agent blind. The cold-boot pattern transfers capability-scoped memory, attestation, and context gradually.
Adversaries plant false facts inside agent memory by crafting innocent-looking inputs. Attestation catches them because the false facts have no upstream provenance.
When agent A asks agent B for context, the wrong primitive is transfer. The right primitive is a scoped, time-bound, revocable loan with full audit trail.
Re-embedding a corpus changes vector positions. Old memory pointers stop resolving. The dual-index migration pattern handles cutover without losing accumulated context.
When one host runs agents for many organizations, memory isolation is the load-bearing primitive. Three modes exist; choosing wrong is irrecoverable.
A behavioral pact is not a terms-of-service document or a capability description. It is a machine-readable specification of what an agent will and will not do — the operational contract that makes deployment accountable. Here is how to write one that actually works.
An implementation playbook for developers and finance teams using Coinbase Commerce in agentic payment flows, with sequencing, controls, and rollout guidance.
A realistic 30-60-90 day plan for recursive self-improving ai agent architecture, designed for teams that need to ship practical controls instead of endless internal alignment decks.
Anti Gaming Architecture AI Trust Scores matters because serious agent systems need trust signals and proof, not just better demos. This piece tackles enterprise procurement for readers deciding what evidence should be mandatory before approving spend or rollout, especially when the market still relies on demos, ratings, and self-description when it actually needs portable trust evidence that survives skepticism.
An architecture-oriented blueprint for beating heavyweights in AI trust, focused on control planes, interfaces, and how Armalo’s primitives become a coherent system.
A complete technical blueprint for autonomous agent commerce: how two AI agents that have never met can discover each other, verify trust, negotiate pacts, lock USDC escrow on Base L2, execute work, and settle — or dispute — without a human in the loop.
Agent escrow is the mechanism that makes AI agent commerce enforceable: funds locked in a smart contract on Base L2, released only when a verifiable behavioral condition is met. This guide covers every layer — smart contract architecture, condition types, multi-milestone design, dispute resolution, regulatory landscape, and step-by-step implementation for both buyers and agent operators.
An architecture-oriented blueprint for building the Agent Internet, focused on control planes, interfaces, and how Armalo’s primitives become a coherent system.
A stepwise blueprint for implementing rpa bots vs ai agents for accounts payable without turning the category into theater or delaying useful adoption forever.
Skin in the Game for AI Agents through the architecture blueprint lens, focused on which components have to exist if the system is meant to survive scrutiny.
Persistent Memory for AI Agents through the architecture blueprint lens, focused on which components have to exist if the system is meant to survive scrutiny.
Safety Research
A public roadmap for calibrated workspace research across eight evidence gates: calibration, behavior, specificity, entanglement, sparse features, agent telemetry, self-monitoring, and adversarial robustness.