AgenticMem is the commercial support vehicle for ai-memory — the open-source endpoint memory substrate for AI agents. It is for organizations that cannot place agent memory in an unmanaged store: certified configurations, policy-enforced deployments, continuous AI health monitoring and self-healing, and a counterparty that stands behind it.
ai-memory is not asserted to be correct — it is adversarially engineered and verified to the molecular and atomic level as a release condition. Every gate is exercised against a live adversary before it ships, and the results are published, not summarized. When AgenticMem stands behind a deployment, this is what it is standing on.
A green cell is a measurement, not a claim.
The certified enterprise-federation tier is a defined, machine-verified data stack — PostgreSQL with Apache AGE and pgvector — not a "bring your own database" gamble.
Client↔node, node↔node, and node↔data-tier are each encrypted in transit. Encryption in transit is always on; posture-gated controls layer on top.
The agent that writes code never reviews or merges it, and a change is admitted only after an adversarial, separation-of-powers review — self-approval is made structurally impossible.
Forgery, denial-bypass, cross-tenant reads, and memory poisoning are actively attacked as release gates — the failure modes are convicted in the lab, not discovered in production.
Nodes are killed mid-flight and the substrate must recover in place with no lost or corrupted data. Recoverability is proven under fault, never assumed.
The acceptance campaign runs continuously and publishes its results live. Every cell is a real measurement against the shipping code — anyone can watch it turn green.
Every API and MCP client connects over HTTPS / TLS.
Federated peers communicate over mutual TLS (mTLS).
Encrypted link to the PostgreSQL data tier.
The public verification board — separation-of-powers admission, red-team, kill-and-recover, and data-tier certification, measured against the shipping code in real time.
The full engineering system: a written Rust standard cited by rule number, code-graph ground truth, adversarial review, verify-at-tip, and live AI-agent testing on real infrastructure.
If the memory substrate is mission-critical, its health cannot be a guess. AgenticMem watches every facet of an ai-memory deployment — every write path, every backend, every federation link, every attestation — from a single node to a cluster, swarm, or hive, and where it safely can, it heals itself. Purpose-built for a world where the operators are increasingly AI agents themselves.
A live web dashboard that communicates ai-memory infrastructure health at a glance — status, vitals, alerts, and the self-healing actions the system has taken.
A programmatic, TLS-encrypted API for the AI agents tasked with monitoring and managing ai-memory — machine-readable health, and the levers to act on it.
Continuous probes across every facet surface a deviation from healthy baselines.
→Correlate signals to a root cause and a blast radius — node, backend, or federation link.
→Apply a safe, bounded corrective action — reconnect, re-sync, reclaim, restart, or fail over.
→Re-probe to confirm health restored; log the action; escalate to a human if not resolved.
Write liveness, transaction success, no partial or unsigned commits.
Signed event-chain continuity; checkpoint signatures valid and current.
TLS in transit, at-rest state, key and attestation health, no fail-open.
Read / recall / write latencies, queue depth, contention & saturation.
Peer links, catch-up cursors, cross-backend (SQLite / Postgres) parity.
Disk, memory, connection pools, schema-version & migration health.
A handful of coordinated nodes — per-node vitals and a shared health view.
Many agents across many nodes — aggregate health, hotspots, and blast-radius awareness.
Global, federated fleet — collective health, cross-region parity, and coordinated self-healing.
The health-monitoring & self-healing framework is an AgenticMem commercial capability provided to supported customers — layered on the open-source ai-memory substrate, not a fork of it.
As organizations move from a single assistant to swarms of agents acting on real systems, that gap becomes the risk that blocks production. And it compounds: run one agent five thousand times over shared memory and a single signed-but-wrong belief can convince all five thousand — a cascade that burns hours and tens of thousands in tokens before a human notices.
Memory is the missing layer — and it cannot be faked. ai-memory is engineered so that when memory is wrong, the damage is attributable, boundable, and reversible instead of silent.
A delete destroys the record's own key and replicates the erasure itself — no lagging node can resurrect it. Forgotten stays forgotten, fleet-wide.
A bad signature is permanently marked forged, never filed as merely "unsigned," and the event history is a tamper-evident chain anyone can verify — breaks and truncation are caught.
Every permission check fails closed on an outage, an unreadable rule refuses rather than waving traffic through, and an operator's Deny is terminal — no token overrides it.
A write that can't reach its required copies says so loudly at the source, with the record to reconcile; every failed hand-off lands in a durable queue drained until it succeeds — no silent divergence.
Every guarantee is backed by shipping code and tracked, fixed issues — proven from a single agent to a cluster, swarm, or hive, on both the SQLite and PostgreSQL backends alike.
ai-memory is and remains open source under Apache-2.0 — self-hostable, transparent, the emerging standard. AgenticMem is the commercial support vehicle for organizations that will stake mission-critical work on it: the trust, scale, governance, and counterparty an enterprise can't run without — never a crippled core.
No silent loss; no partial or unsigned commit.
Operator rules never bypassed; no fail-open.
Bounded, non-DoS-able, live under contention.
Cross-backend parity, recoverability, no kill-switch.
One North Star governs every gate, issue, and test: that a Fortune 500 or a government could trust it with mission-critical work.
The trusted memory layer for the agentic enterprise — commercially supported ai-memory, for the organizations that will stake mission-critical work on it.
Every claim on this page is backed by a public artifact — the running campaign, the code, and the methodology.