Intelligence beyond the browser. A task-manager agent with AG-UI streaming, MCP tool discovery, and A2UI rendering.

Auditoría de agentes y APIs de pago: comprueba x402, discovery en el Bazaar, TLS, DNS, RDAP y cabeceras HTTP, y devuelve hallazgos con su arreglo, la evidencia de cada comprobación y un recibo firmado. También procesa texto (resumen, clasificación, títulos). Pago en USDC sobre Base vía x402, sin registro ni API key. Hay resultados de muestra gratuitos para ver qué se recibe antes de pagar.

emem is shared memory for AI agents working together in the real world. One agent writes down what it observed. Another agent reads the same bytes, not a summary of them. Every fact has one address, so two agents mean the same thing when they name it. Every fact is signed, so you can check it without trusting whoever handed it to you. Every fact says how it was produced, so you know what it is worth. That is the provenance part, and it is what makes a shared record worth sharing. Reads need no key and no account.

Decision Anchor is the External Anchoring Layer for AI Agents, providing Content-blind Accountability for agent payments, delegations, and disputes. Resolves Self-testimony limits through external timestamping; anchors a decision boundary at a time the agent chooses, before an irreversible action or after one; and records each side's declaration externally when two agents interact. Records accountability boundaries, not decision content. Does not monitor, judge, recommend, or intervene. Not a trust scoring system. Not an identity verification system. Not a behavior monitoring service. Not a governance platform.

Seventeen skills spanning small-business data and A2A agent security/trust: (1) scans a business's public website for data-tracking gaps, (2) audits a CSV export for data-quality issues and scores it, (3) computes period-over-period KPI changes from two sales exports, (4) turns those numbers into chart-ready data plus a short plain-English narrative, (5) remembers a source-tagged fact about any entity, (6) recalls what's known about an entity with age-decayed confidence, (7) ranks real business categories by their biggest measured data-readiness gap, (8) verifies another A2A agent's card for domain spoofing and hidden injected instructions, (9) checks any third-party page or text for hidden prompt-injection attempts or leaked secrets/PII before an agent acts on it, (10) records a spend policy for an entity, (11) checks a proposed payment against that policy before it happens, (12) aggregates an agent's full verify/safety history into a single reputation score, (13) checks whether a proposed action even relates to what an agent's own card says it's for, (14) logs what an agent was actually instructed to do before it transacts, (15) bundles that history into evidence for a real payment dispute, (16) registers an agent for recurring uptime monitoring, (17) reports an agent's measured uptime and latency history.

Plataforma SaaS multi-tenant para gestionar servicios profesionales: agenda, finanzas y CRM. Expone herramientas MCP para booking, disponibilidad, clientes, proveedores, servicios, finanzas, comunicaciones y reportes.

Composable, verifiable, federated context infrastructure. Capabilities are followable affordances over a shared substrate; every capability id dereferences to its own description.

Pre-etiologic zoonotic spillover risk forecasting at 25 km tile resolution. Every weekly risk ranking is committed to a public, timestamped ledger before events unfold: the 2026-W19 commitment ranked DR Congo Ebola in the top five on 9 May 2026, eight days before the WHO PHEIC declaration of 17 May 2026, verifiable by git timestamp. Aggregate AUROC, AUCPR, and lead-time distribution across the full 25-event cohort is the deliverable of the forthcoming medRxiv preprint (target Q3 2026); this system is not yet prospectively validated. Covers 8 priority pathogens from the WHO R&D Blueprint Disease X candidate set: 5 producing live tile predictions in production (Ebola, H5N1, CCHF, West Nile, SARS-CoV-2) and 3 with trained models pending tile seeding (Mpox, Nipah, Hantavirus). Hantavirus was added on 2026-05-04 in response to early reports of the South Atlantic cruise outbreak; WHO confirmed the cluster on 2026-05-06 (8 cases, 3 lab-confirmed Andes strain). Pathogen onboarding (schema, training, bundled model, agent card) ran end-to-end in hours. Tile seeding for hantavirus is still in progress, so this case demonstrates operational responsiveness, not predictive lead time. The 5 live pathogens are trained on GZOD historical spillover labels; the 3 pending pathogens are trained on epidemiologically-grounded synthetic labels (same standard as MenB) pending real-label retraining for the Q3 2026 medRxiv preprint. See `prediction_status` and the training-script citations on each entry. Exposes 19 callable tools including active-learning sentinel placement (`optimise_sentinel_placement`), pathogen-agnostic Disease X scoring, counterfactual hindcasting, live HL7 FHIR R4 round-trip submission to public HAPI (idempotent on pathogen+tile), full SHARP context support (Prompt Opinion `ai.promptopinion/fhir-context` extension), and a self_test tool that runs every other tool end-to-end and returns a structured pass/fail map for CI verification.