Every major AI platform in use today — ChatGPT, Claude, Gemini, Perplexity, Grok, Copilot — operates as a stateless system by default. Each conversation begins from zero. Users re-introduce themselves, re-explain their preferences, and re-establish context that any competent human professional would retain automatically. This is not a minor inconvenience; it is a structural ceiling on the value AI can deliver.
haao.ai removes that ceiling. We are building the persistent memory, identity, and payments infrastructure layer for the AI era: a universal memory substrate that travels with the user across every AI interface they touch, and that gives developers a clean, standards-compliant API for building agents that remember.
Our architecture is organized into three compounding layers. The first is Memory: structured, retrievable, and cross-platform storage of episodic, semantic, and procedural context. The second is Identity: a persistent agent registry that gives AI systems a verifiable, consistent identity across sessions and services. The third is Payments: USDC-denominated escrow on Base, enabling agents to transact autonomously on behalf of users with full auditability and a 0.5% protocol fee.
Distribution begins where users already live. A browser extension installs in under thirty seconds and immediately
augments ChatGPT, Claude, Gemini, and five other platforms with persistent memory, requiring no changes from the
platform operator. Developers access the same infrastructure through a production-grade REST API (FastAPI, PostgreSQL,
Redis), operational at api.haao.ai.
The immediate competitive landscape is thin. Mem0, the closest comparable, raised $10M and targets developers exclusively; it has no browser extension, no consumer distribution strategy, and no payments layer. haao.ai addresses all three vectors simultaneously.
Pricing tiers span Free, $9/month Pro, $29/month Developer, and Enterprise. The roadmap includes a Master Memory Agent: an orchestration layer that synthesizes memory across all connected platforms into a single, queryable intelligence profile.
The AI platforms deployed at scale today are, architecturally, goldfish. Context windows have grown from 4,000 tokens to 200,000 or more; retrieval-augmented generation has improved factual grounding; reasoning chains have become more sophisticated. Yet none of these advances address a simpler, more fundamental failure: when a conversation ends, the AI forgets you entirely.
A user who spends three hours configuring their communication preferences, explaining their business model, and establishing their technical background with Claude on Tuesday will begin from scratch on Wednesday. The same is true of ChatGPT, Gemini, Perplexity, Grok, and every other platform in the current generation. Memory features offered natively by some platforms are shallow, siloed, and non-transferable. They do not persist across devices. They do not synchronize across platforms. They cannot be queried, audited, or exported in a structured form.
"The average knowledge worker switches between three or more AI tools daily. Each switch resets the relationship to zero. The cumulative cost of that repetition, measured in time and degraded output quality, is enormous."
Consider the practical experience of a professional who uses AI regularly. She tells ChatGPT she is a CFO at a Series B SaaS company. She tells Claude her preferred writing style is direct and data-driven. She tells Gemini she wants all code examples in Python. She tells Perplexity she cares about primary sources over aggregated summaries. These preferences are not exotic; they are the baseline context any competent assistant would retain after a single session.
None of this information travels. Every platform is an island. The user is not interacting with an assistant that knows her: she is repeatedly training strangers who forget her the moment she closes the tab. This friction is not merely annoying; it actively limits the depth and quality of AI-assisted work, because the model spends cognitive budget on re-orientation that should be spent on the actual task.
The developer problem is distinct but equally costly. Building a production AI agent today requires solving memory independently: choosing a vector store, designing a schema for episodic versus semantic content, building retrieval pipelines, handling memory decay and deduplication, and implementing all of this across every agent in the system. There is no standard. There is no shared infrastructure. Every team reinvents the same wheel, inconsistently.
The absence of a standard memory layer also means there is no portable user context. An agent built by one developer cannot inherit memory established by another agent in a different product, even when the user is the same person and consent has been granted. The ecosystem is fragmented by design.
As AI agents become capable of taking actions in the world — booking, purchasing, contracting, delegating — two infrastructure gaps become critical blockers. First, agents have no persistent, verifiable identity. A session identifier is not an identity; it cannot be referenced across time, across platforms, or across service boundaries. Second, agents have no native payment capability. They cannot hold funds, execute transactions, or settle obligations autonomously without bespoke integration work that breaks every time the underlying platform changes.
These are not future problems. They are present-day blockers being worked around with duct tape by every serious AI agent team. The market is waiting for infrastructure to catch up to capability.
haao.ai is purpose-built to be the memory infrastructure layer for the AI era. Our thesis is straightforward: just as Stripe became the payments layer that developers reach for without deliberation, and just as Auth0 became the identity layer that removed authentication from the list of problems teams solve themselves, haao.ai will become the memory layer that every AI-powered product, agent, and platform relies on.
The design principle is portability above all else. Memory stored through haao.ai belongs to the user, not the platform. It is structured, queryable, and accessible wherever the user goes. A memory written during a ChatGPT session is available in a Claude session, available to a developer's custom agent, and available to any future platform that integrates the API. The user establishes context once. Every AI they interact with benefits from it immediately.
These layers are designed to compound. Memory makes identity meaningful: a persistent agent with no memory is simply a token. Identity makes payments safe: an escrow system with no identity layer cannot enforce trust or accountability. Each layer activates the next. Teams can adopt them incrementally or deploy the full stack from day one.
The primary consumer distribution vector is a browser extension compatible with Chrome, Edge, and all Chromium-based browsers. Installation takes under thirty seconds. Once active, the extension silently augments every supported AI platform: ChatGPT, Claude, Gemini, Perplexity, Grok, and Copilot. It injects relevant memories into each conversation at session start and captures new memories as they are established during the session.
No platform cooperation is required. No API agreements are needed. The extension operates at the browser layer, which means deployment is instant and the user experience is consistent regardless of the underlying platform's own memory capabilities. This is the fastest path to widespread consumer adoption: meet users where they already work, enhance the tools they already use, and deliver value from the first session.
For developers and enterprises, haao.ai exposes a production-grade REST API, operational
at api.haao.ai. The API is built on FastAPI, backed by PostgreSQL for structured storage and Redis
for session-layer caching and rate limiting. It is designed to be the memory backend for any agent architecture,
whether LangChain-based, custom, or multi-agent. Key operations include memory write, memory retrieval (exact and
semantic), identity registration, and escrow initialization.
The Developer tier at $29/month provides API access with generous rate limits, full memory CRUD, and access to the identity registry. Enterprise tiers include SLAs, dedicated infrastructure, private memory namespaces, and on-premises deployment options.
The haao.ai memory model draws on the standard taxonomy from cognitive science, adapted for the practical realities of AI agent development. Three memory types are supported natively, each with distinct storage semantics, retrieval characteristics, and decay behavior.
Time-stamped records of specific interactions and events. "The user mentioned on June 14 that they are preparing for a Series A raise." Episodic memories are stored with full provenance: platform, session identifier, timestamp, and confidence score. They are retrieved by recency, relevance, or explicit reference. They decay gracefully over time unless reinforced by subsequent interactions.
Persistent facts and preferences that are not tied to a specific event. "The user prefers Python. The user communicates in a direct, data-first style. The user is based in New York." Semantic memories are updated in place when new information supersedes old. They form the stable, queryable profile that is injected at the start of every session across all connected platforms.
Learned workflows and behavioral patterns. "When this user asks for a code review, they want line-level comments, not high-level summaries. When they ask for a document draft, they prefer bullet-point outlines before prose." Procedural memories encode the how of working with a specific user and are the most differentiated memory type in the current market; no competing product addresses this category.
Every user and every agent registered with haao.ai receives a persistent, globally
unique identity: a haao_id. For users, this identity anchors their memory graph across all
platforms. For agents, it serves as a verifiable credential: any service that receives a request from an agent
with a haao_id can query the identity registry to confirm the agent's history, reputation score,
and authorized capabilities.
Agent identities support scoped permissions. A developer can register an agent with read-only memory access, write-and-read access, or full access including payment capabilities. Permissions are granted explicitly by the user and can be revoked at any time through the dashboard or API. The registry is append-only for audit purposes: permission grants and revocations are logged permanently.
The payments layer enables agents to transact on behalf of users without requiring custom financial integration for every use case. The mechanism is straightforward: a user deposits USDC into a haao.ai escrow contract deployed on Base. The agent, operating within its authorized permissions, can initiate disbursements up to a user-configured limit per transaction and per period.
Every transaction is recorded on-chain with the agent's haao_id, the counterparty address,
the amount, and a reference to the triggering memory or instruction. This creates a complete, auditable
history of agent-initiated payments that users can inspect at any time. The protocol charges a flat 0.5%
fee on each disbursement. Funds not disbursed within a configurable window are automatically returned to
the user's wallet.
Base was selected as the settlement layer for three reasons: transaction fees are negligible at scale (typically under $0.01), finality is fast (two seconds), and the ecosystem has strong USDC liquidity and developer tooling. The escrow contract is non-custodial by design; haao.ai never holds user funds directly.
Escrow models that hold user funds may trigger money-transmission licensing requirements in certain jurisdictions. haao's mitigation is structural: the escrow contract is non-custodial. Smart contracts hold funds on-chain; haao never takes custody. Disbursement can only be triggered jointly by the paying agent and the receiving agent, or by a configurable timeout condition returning funds to the depositor. haao protocol has no unilateral access to escrowed funds under any condition.
haao.ai is evaluating licensing requirements in relevant jurisdictions and will complete legal review prior to activating the payments layer commercially. The payments infrastructure is designed and documented; activation is pending that legal review.
The API enforces rate limits at three levels: per API key, per haao_id, and per endpoint family.
Redis powers the rate-limiting layer, providing low single-digit millisecond latency (target: <10ms at p99) for limit checks with atomic increment operations.
Free tier limits are set conservatively (100 memory writes per day, 500 reads). Pro and Developer tiers receive
substantially higher limits; Enterprise tiers are uncapped subject to negotiated quotas.
Infrastructure is deployed on Railway and designed for horizontal scaling via Railway's container orchestration. PostgreSQL handles durable storage with daily automated backups and point-in-time recovery. Redis is used exclusively for ephemeral state (rate limits, session caches, write queues) and is designed to be stateless from a recovery perspective: a Redis failure triggers a fallback to PostgreSQL-based rate limiting with a brief latency penalty.
Platform UI changes that break injection selectors are detected through monitoring and patched within the same business day; v0.5.3 addressed a selector regression within hours of detection.
The Phase 2 architecture introduces vector-based semantic retrieval via the pgvector PostgreSQL
extension. In the current production system, memory retrieval is keyword and tag-based. Phase 2 adds embedding
generation at write time (using a hosted embedding model) and approximate nearest-neighbor search at query
time, enabling retrieval of memories that are contextually relevant even when no exact keyword match exists.
The practical impact is significant. A query for "user's attitude toward risk" will surface episodic memories where the user discussed investment strategy, semantic memories about their business context, and procedural memories about how they prefer analytical recommendations to be framed, without the developer needing to enumerate every relevant keyword. Retrieval becomes intent-aware rather than keyword-dependent.
The API is versioned under /v1/ and follows RESTful conventions throughout. Core resource
families are /memory, /identity, and /payments. Authentication
uses Bearer tokens issued at key creation. All responses are JSON. Errors follow RFC 7807 (Problem Details
for HTTP APIs) for consistent, machine-readable error handling across all clients.
# Write a semantic memory
POST /v1/memory
Authorization: Bearer <api_key>
{
"haao_id": "usr_01j9xk...",
"type": "semantic",
"key": "preferred_language",
"value": "Python",
"source_platform": "chatgpt",
"confidence": 0.97
}
# Retrieve memories for a session
GET /v1/memory?haao_id=usr_01j9xk...&type=semantic&limit=20
Authorization: Bearer <api_key>
# Register an agent identity
POST /v1/identity/agents
Authorization: Bearer <api_key>
{
"agent_name": "research-assistant-v2",
"owner_haao_id": "usr_01j9xk...",
"permissions": ["memory:read", "memory:write"]
}SDKs for Python and JavaScript are under active development. Both will wrap the REST API with typed interfaces, automatic retry logic, and built-in streaming support for memory injection during streamed completions. The Python SDK targets LangChain and LlamaIndex compatibility as first-class integration targets.
haao.ai · Confidential · June 2026 · This document is intended for authorized recipients only. Do not distribute. · Continued in Part II: Market Analysis, Business Model, Competitive Landscape, and Roadmap.
Distribution is the decisive variable in the AI tooling market. The best infrastructure loses to the most accessible infrastructure. haao.ai is built around a distribution-first thesis: meet users where they already work, and expand from there.
The haao browser extension is the primary distribution channel and the highest-leverage asset in the product. Unlike API integrations that require developer buy-in, or platform-specific plugins that lock users to a single AI, the browser extension operates at the browser layer. It activates automatically on ChatGPT, Claude, Gemini, Perplexity, Grok, and Microsoft Copilot simultaneously. A user installs once and gains persistent memory across every major AI platform they already use. There is no configuration, no context copying, no re-explaining who you are each session. This zero-friction onboarding is the product.
The extension strategy solves what platform-specific integrations cannot: platform lock-in fragmentation. A user who relies on Claude today and switches to Gemini tomorrow loses nothing with haao. Their memory, preferences, and identity travel with them. This portability is the core value proposition for consumers and the primary reason the extension will outperform any single-platform integration in user acquisition.
The extension is live at v0.5.3, available for direct install. Chrome Web Store submission is in progress; the extension is distributed directly to early access users during the Store review period.
haao supports deeper integration where platforms allow it. ChatGPT Custom GPT Actions enable developers and power users to connect haao memory directly into their custom GPT configurations, exposing the haao REST API as a first-class action set within the GPT builder interface. This creates a developer-distribution channel that reaches technical users through the OpenAI ecosystem without requiring them to leave that ecosystem.
The Claude Model Context Protocol (MCP) server integration provides an analogous entry point for Anthropic's platform. MCP is rapidly becoming the standard protocol for extending Claude with external tools and memory. haao's MCP server implementation positions it as a native memory provider within that protocol, making haao the default persistent memory layer for Claude-based applications and agents.
The REST API at api.haao.ai serves developers building AI applications, autonomous agents, and multi-step workflows. Developers integrate haao into their own products rather than pointing users to a haao interface. This B2D (business-to-developer) channel operates independently from the consumer extension and creates a second acquisition loop: developers onboard, integrate, and bring their end users into the haao memory graph passively.
The extension wins because it does not ask users to choose a platform. It works everywhere, simultaneously, on day one. No other memory product can say that.
The compounding effect of these channels is significant. Consumer extension users generate organic developer curiosity. Developers building with the API surface haao to their user bases. Platform integrations (Custom GPT Actions, MCP) create ecosystem-level visibility. Each channel reinforces the others without cannibalization.
haao.ai operates a three-revenue-stream model: subscription tiers, transaction fees on agent payments, and future enterprise licensing. Each stream has distinct unit economics; together they create a business with high gross margins and two compounding growth vectors.
The subscription structure is designed to convert free users through demonstrated value rather than artificial limitations.
Free: Core memory storage, browser extension access, basic recall across supported platforms. Sufficient for casual users; creates the network and referral base.
Pro at $9/month: Expanded memory capacity, priority recall, identity layer access, advanced preference modeling. Designed for knowledge workers who use AI tools daily. At $9/month, haao costs less than a single ChatGPT session with a consultant and delivers persistent context across every AI interaction a user has.
Developer at $29/month: Full API access, higher rate limits, webhook support, agent memory namespaces, and access to the payments infrastructure. Priced for professional use; below the cost of a single AWS EC2 instance.
Enterprise: Custom contracts, dedicated infrastructure, SLA guarantees, SSO, and volume pricing for teams deploying haao inside proprietary AI stacks.
The agent payments layer charges a 0.5% fee on USDC escrow transactions settled on Base. This fee is competitive with traditional payment processors (Stripe charges 2.9% + $0.30) and is structurally suited for the high-frequency, low-value transactions that characterize agent-to-agent and agent-to-service payments. At $1M in monthly payment volume, the fee generates $5,000 in monthly revenue. The payments layer is designed and documented; activation is pending legal review. Payment volume scales with agent adoption, creating a revenue stream that is correlated with the growth of the broader AI agent market rather than haao's subscription count alone.
Infrastructure costs for haao are dominated by compute (FastAPI), storage (PostgreSQL), and caching (Redis). These are largely fixed at low user counts and scale sub-linearly as users grow. At 1,000 paying subscribers on the Pro tier, monthly recurring revenue reaches approximately $9,000 with infrastructure costs well under $300/month. Projected gross margins above 90% at scale, based on current infrastructure cost structure. Even at the Developer tier with higher API usage, gross margins remain strong at scale. The software-only cost structure, combined with self-hosted infrastructure on commodity cloud, produces unit economics that rival the best SaaS businesses in the market.
Subscription revenue provides predictable cash flow. Escrow fees provide upside correlated with the AI economy. Together, they create a business model that compounds on two axes simultaneously.
The AI agent market is in the early innings of a structural shift that will redefine how software is built and how knowledge work is performed. Memory infrastructure is the foundational layer that makes agents useful at scale. haao is positioned at the center of this transition.
Current state: Phase 2 is complete. The extension is live at v0.5.3 across 6 platforms (ChatGPT, Claude, Gemini, Perplexity, Grok, Copilot). The API is operational at api.haao.ai. Early access installs are underway; the waitlist is open and growing.
Before referencing market size, it is more instructive to build revenue from first principles. The model below is conservative and uses no assumptions about virality or enterprise deals.
Month 1 baseline: 1,000 extension installs. 60% activation rate (user completes onboarding and stores at least one memory) = 600 active users. 10% free-to-paid conversion at $9/month = 60 paying subscribers. 60 x $9 = $540 MRR.
Compounding: If installs grow at 3x month-over-month through organic distribution and the activation and conversion rates hold, the progression reaches:
These projections assume no enterprise contracts and no payments layer revenue. The Developer tier ($29/month) and future enterprise deals layer on top. The bottoms-up case for $1M+ ARR is achievable within 12 months of a well-executed launch without requiring outlier growth assumptions.
Total Addressable Market (TAM): The global AI software market is projected to exceed $500 billion by 2030, with AI agents and autonomous workflow automation representing an increasingly large share. Every knowledge worker who interacts with an AI tool is a potential haao user. There are approximately 1.25 billion knowledge workers globally. At $9/month, the TAM is not a niche; it is the entire knowledge economy. The bottoms-up model above does not require capturing a meaningful fraction of that base to build a substantial business.
Serviceable Addressable Market (SAM): haao's near-term SAM is defined by active users of the six major AI platforms the extension supports: ChatGPT, Claude, Gemini, Perplexity, Grok, and Copilot. As of mid-2025, ChatGPT alone claims over 200 million weekly active users. The combined active user base across these platforms conservatively exceeds 400 million individuals. Even at a 0.5% conversion rate to paid, that represents 2 million paying subscribers and $216 million in annual subscription revenue from the consumer tier alone.
Serviceable Obtainable Market (SOM): In the 12-to-24-month window, haao targets 50,000 paying subscribers across Pro and Developer tiers, representing approximately $7.2 million in annual recurring revenue. This assumes no viral growth loops and no enterprise deals; it is a conservative baseline achievable through organic extension distribution and developer outreach alone.
The market has already validated the category. Mem0, a developer-only memory API with no consumer product and no payments layer, raised $10 million and was valued at over $50 million. That valuation was assigned to a product that solves one-third of the problem haao solves. The Mem0 raise confirms that investors understand the necessity of persistent memory for AI agents. It does not represent the ceiling of the opportunity; it represents the floor.
Mem0 raised at $50M+ with zero consumer product and zero payments. haao has both. The delta in addressable market is not incremental; it is categorical.
The AI agent payments market is a separate and additive opportunity. On-chain settlement for autonomous agent transactions does not have an established leader. The base infrastructure (USDC on Base) is live, low-cost, and scalable. haao's early positioning in this space, combined with its identity layer, creates a defensible early-mover advantage in a market that is measured in trillions of dollars in potential transaction volume as agents become economic actors.
The persistent memory space has three meaningful players prior to haao. Each occupies a narrow slice of the problem. None of them compete in haao's lane.
Mem0 is the most funded competitor in the space, having raised $10M at a $50M+ valuation. Mem0 is a developer API for memory storage and retrieval. It has no consumer-facing product, no browser extension, no cross-platform support for end users, and no payments infrastructure. Its customer is the developer, not the end user. Mem0 is a B2D infrastructure play that haao competes with at the API layer while simultaneously operating two dimensions Mem0 cannot reach: the consumer browser extension and the agent payments network.
Why hasn't Mem0 done this already? The hypothesis is structural, not accidental. Mem0's founding team and funding thesis are optimized for developer tooling. Their B2D orientation is deliberate: developer APIs have clean GTM, predictable enterprise sales cycles, and low regulatory exposure. Consumer distribution requires a different product philosophy: distribution engineering, UX investment, App Store politics, and a willingness to operate at the browser layer with all the DOM fragility that entails. Agent payments add a further dimension: regulatory surface area, legal review, and a longer path to revenue. These are founder risk-tolerance decisions, not capability gaps. haao's thesis is that the full stack, consumer plus developer plus payments, is the durable position; capturing only one layer leaves the others open.
Zep is an open-source, self-hosted memory framework aimed at developers building LLM applications. Zep requires technical expertise to deploy and maintain. There is no hosted consumer product, no extension, no identity layer, and no payments support. Zep's open-source nature limits its monetization path and its appeal to non-technical users. It is a tool for engineers, not a platform for the 400 million people using AI daily.
MemGPT (now Letta) is an academic research project that introduced the concept of hierarchical memory management for LLMs. It is architecturally complex, requires significant setup, and is not designed for consumer use. MemGPT/Letta's primary contribution is conceptual; it does not compete for end users in the market haao is addressing.
Extensions that inject into third-party UIs face the risk of DOM breakage when platforms update their interfaces. haao mitigates this through a rapid patch cycle (v0.5.3 released within hours of a detected selector break), abstracted platform detection logic, and a fallback injection architecture. A deeper risk is deliberate platform pushback: ChatGPT, Claude, or Gemini could theoretically rate-limit or block extension-based requests at scale. haao's mitigation is distribution diversification: the API and MCP integrations are platform-native and cannot be blocked.
No competitor has a browser extension that works across all major AI platforms simultaneously. No competitor has an identity layer. No competitor has agent payments. haao operates in a lane that does not yet have traffic.
The critical distinction is the consumer + payments combination. Mem0, Zep, and MemGPT are all developer tools. They require a developer to build a product before an end user benefits. haao installs in two clicks and works immediately for any non-technical user on any supported platform. This consumer accessibility creates a distribution advantage that no API-first competitor can replicate without rebuilding their product from the interface layer up.
Platform integrations from ChatGPT or Anthropic themselves represent the most credible future competitive threat. However, first-party platform memory solutions will be siloed by definition; ChatGPT memory will not persist to Claude. haao's cross-platform architecture is structurally advantaged against any single-platform incumbent, and the identity and payments layers create a moat that is architecturally independent of any single AI provider's roadmap.
haao's development is organized into five sequential phases, each building on the infrastructure established in the previous one. The sequence is deliberate: memory first, then identity, then payments, then intelligence, then ecosystem.
The core memory infrastructure is live at api.haao.ai. The REST API supports memory storage, retrieval, search, and management via FastAPI with PostgreSQL persistence and Redis caching. Developers can integrate haao memory into their applications today. This phase establishes the technical foundation and validates the core storage architecture at scale.
The browser extension is live at v0.5.3, available for direct install. It delivers cross-platform memory injection across ChatGPT, Claude, Gemini, Perplexity, Grok, and Copilot. It also delivers the ChatGPT Custom GPT Actions integration and the Claude MCP server. Chrome Web Store submission is in progress. This phase is the primary user acquisition engine and the moment haao transitions from developer tool to consumer platform.
The master memory agent is an autonomous AI layer that actively manages, organizes, and enriches a user's memory graph over time. Rather than passively storing what users tell it, the master agent identifies patterns, surfaces relevant memories proactively, resolves conflicts between stored preferences, and learns user context without explicit instruction. This phase transforms haao from a storage layer into an intelligent memory partner.
The payments layer enables USDC escrow on Base for agent-to-agent and agent-to-service transactions. The architecture is designed and documented; activation is pending legal review of money-transmission requirements in relevant jurisdictions. haao's identity layer provides the verified agent identity required for trustless payment settlement. Phase 4 makes haao the financial infrastructure layer for the autonomous agent economy.
Phase 5 opens the platform to third-party developers through SDKs, plugin APIs, and a memory marketplace. Developers can build specialized memory modules, identity verifiers, and payment workflows on top of the haao infrastructure. This phase converts haao from a product into a platform, creating network effects and a defensible ecosystem moat.
The internet was built for humans navigating pages. The agentic internet is being built for AI systems executing tasks. These two infrastructures have fundamentally different requirements. The web needed protocols for document retrieval (HTTP), identity verification (SSL/OAuth), and financial settlement (Visa/Stripe). The agentic internet needs protocols for memory persistence, agent identity, and autonomous payments. haao is building that infrastructure.
Stripe did not invent online payments. It made online payments accessible to developers in seven lines of code, and in doing so, became the default financial infrastructure for the internet economy. Stripe's genius was abstraction: it hid the complexity of banking rails, fraud detection, and compliance behind a clean API, so every developer could offer enterprise-grade payments without becoming a payments engineer.
haao is doing the same for AI memory. It hides the complexity of vector storage, context management, identity resolution, and on-chain settlement behind a clean API and a browser extension. A developer integrates haao in minutes and ships AI applications with persistent, cross-platform memory. A consumer installs the extension and gets persistent memory across every AI they use. The complexity is haao's problem. The benefit is universal.
The identity layer is haao's long-term moat. Every user who establishes a haao identity creates a persistent, cross-platform profile that becomes more valuable over time. As more AI platforms and applications integrate haao, the identity layer becomes a standard. Developers build against it because their users already have haao identities. Users choose platforms that support haao because their memory travels with them. This is a classic network effect: the value of the network increases with every participant, and switching costs compound as memory depth grows.
The agentic internet needs a memory layer the same way the web needed HTTP. haao is building that layer before anyone else understands it needs to be built.
The payments layer compounds this further. When AI agents transact through haao's escrow infrastructure, the payment history becomes part of the agent's identity. Reputation, transaction history, and verified capabilities accumulate in the haao graph. This creates a credentialing system for the agent economy: trusted agents with haao-verified identities and payment histories will be preferred counterparties in every autonomous workflow. The moat is not just technical; it is economic and reputational.
AI is accelerating. The models are getting faster, cheaper, and more capable every quarter. The bottleneck is no longer intelligence; it is context. AI systems that cannot remember who you are, what you have told them, and what you are trying to accomplish are powerful tools with fundamental limitations. haao removes that bottleneck.
The Memory API is operational at api.haao.ai. The extension is live at v0.5.3 across six platforms. The market is large, the competition is narrow, and the window to establish the identity layer as a cross-platform standard is open right now. haao is the only product in the market combining consumer accessibility (browser extension), developer infrastructure (REST API), cross-platform memory portability, and a designed payments layer in a single, coherent platform.
One memory. Every AI. The infrastructure for the agentic internet starts here.
For developers: The API is operational at api.haao.ai. Start building with persistent memory today. The free tier has no time limit and no credit card requirement.
For investors: haao is raising to accelerate distribution, the master memory agent, and the payments layer. If you believe AI agents will become economic actors in the next three years, you should be in the infrastructure layer that makes them trustworthy counterparties. That is haao.
The memory layer for the agentic internet will be built. The question is who builds it first, and who builds it best. We intend to be the answer to both.