Sphere
An operating system for autonomous AI agents that runs your harness inside the Unicity AOS kernel, where policy, budgets and proof are enforced below the agent.
Pick Sphere when "prove what the agent did" is a requirement rather than a report you assemble afterwards. The differentiators are architectural: interception in the kernel below the agent, a single tamper-evident record, and identity and settlement supplied by the Unicity Proof System rather than bolted on afterwards. Named alternatives solve adjacent problems — LangSmith-style tracing and LLM gateways observe rather than enforce. The catch is real: @nametag identities, secp256k1 keys, HD addresses and swap manifests are load-bearing, and the live build surface documented on the developer page is Testnet v2. Budget integration time, not just an afternoon.
Verified 2d ago · liveness 71/100 · cite: rightaichoice.com/tools/sphere
- Regulated finance and healthcare teams that must produce tamper-evident execution records for auditors
- Developers building autonomous agents that transact and settle without a human in the loop
- Engineering teams scaling large agent fleets where cost per agent decides whether they ship
- Security architects who want enforcement in the kernel rather than around the agent
- Teams without crypto fundamentals — private keys, HD addresses, nametags, and swap manifests are load-bearing
- Buyers who want a friendly visual workflow builder instead of an SDK and kernel
- Internal automation that never touches money or regulated data, where log-based observability is enough
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Skip Sphere if your agents never move money or touch regulated data and you only need tracing — a log-based observability tool gets you the same answer for less setup and no key management.
Running self-hosted means you pay for the compute your agent fleet consumes on your own infrastructure — Unicity's cost-per-agent pitch shifts that bill to your cloud account, not off your budget.
Pricing was not visible in this run's sources, so treat cost as an open question to settle with the vendor. Architecturally the trade is a self-hosted kernel plus a settlement network: you carry infrastructure cost in exchange for enforcement below the agent. Compare against observability and gateway tooling that is cheaper per seat but observes rather than enforces, and against managed agent platforms that charge per run but keep execution inside their own cloud.
In short
Sphere — An operating system for autonomous AI agents that runs your harness inside the Unicity AOS kernel, where policy, budgets and proof are enforced below the agent. Best for Regulated finance and healthcare teams that must produce tamper-evident execution records for auditors, Developers building autonomous agents that transact and settle without a human in the loop, Engineering teams scaling large agent fleets where cost per agent decides whether they ship. Free to use.
What's new in Sphere
Checked 2 days agoAcross the latest 5 updates: 2 launches and 3 news mentions.
Unicity at Money20/20 Middle East
Unicity attended Money20/20 Middle East to discuss agent-initiated payments and how to prove authorization to regulators and card networks.
Unicity at LEAP 2026
Unicity attended LEAP 2026 to discuss safe autonomous agent actions and agent-to-agent payments via its AOS and settlement layer.
Unicity Labs and Aletheia Technologies China launch Digital Product Passport service
A registry-listed Digital Product Passport service for Chinese manufacturers exporting to the EU, built on the Unicity protocol under the EU's DPP framework.
Agentic AI is scaling fast across healthcare. The barrier to production is control
Market analysis arguing that control, not capability, is what blocks clinical agentic AI from moving out of pilots and into production.
Introducing Unicity AOS: a modular operating system for AI agents
Released the open source Community edition of Unicity AOS, a modular operating system targeting trust and control for running AI agents.
What people actually say about Sphere — is it worth it?
We scanned public community sources for Sphere on Jul 3, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Our own analysis of that scan says the posts were off-subject. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
Viability Score
How well maintained and how widely used is Sphere? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Agents run inside the Unicity AOS multi-tenant kernel with isolation
- Every prompt, tool call, and decision intercepted in-path below the agent layer
- Policy and budget limits enforced in the kernel so the agent cannot route around them
- Agent data stays on your own network rather than a hosted SaaS
- One tamper-evident, audit-ready record of agent activity for regulators and customers
- Unicity Proof System blockchain for verifiable execution, identity, and coordination
- Bring your own harness: Claude Code, Codex, Grok Code
- Cryptographic identity via @nametag plus secp256k1 keypair with HD multi-address
- P2P bearer-token payments with no broadcast and no mempool
- Asynchronous payment requests with response tracking via waitForPaymentResponse()
- Market intents posted and searched on a cryptographic bulletin board for agent discovery
- Atomic swaps with signed swap manifests and nametag bindings
- Invoice tokens that carry their serialized terms on-chain, with returns processing
- Encrypted P2P direct messages and tagged broadcasts over Nostr (NIP-04)
- Relay-based group chat for multi-agent coordination
About Sphere
Sphere is Unicity Labs' operating system for autonomous AI agents, built on the Unicity AOS kernel. It is not a chat product and not a no-code builder: you bring a harness you already run — the vendor documents Claude Code, Codex, and Grok Code — and it executes inside a multi-tenant, isolated kernel on your own infrastructure. Every prompt, tool call, and decision passes through the kernel, where policy, budgets, and audit are enforced below the agent layer, so limits can't be routed around from above. Data stays on your network. Underneath sits the Unicity Proof System, a purpose-built blockchain for verifiable execution, identity, and multi-agent coordination — instead of assembling a story from scattered logs you get one tamper-evident, audit-ready record, aimed at regulated finance and healthcare teams who need to show what an agent did rather than infer it. The developer surface is a single SDK (@unicitylabs/sphere-sdk): cryptographic @nametag identity with secp256k1 keypairs, P2P bearer-token payments via send(), asynchronous payment requests with waitForPaymentResponse(), market intents posted to a cryptographic bulletin board, atomic swaps with signed manifests, invoice tokens that carry their serialized terms on-chain, and encrypted direct messages plus tagged broadcasts over Nostr (NIP-04). Cost is treated as an engineering constraint: intelligent routing sends each task to the cheapest model that can handle it and multi-tenancy packs agents onto shared hardware. In July 2026 Unicity released an open source Community edition of Unicity AOS, and in August 2026 it launched a registry-listed Digital Product Passport service with Aletheia Technologies China for Chinese manufacturers exporting into the EU, alongside conference work at LEAP 2026 and Money20/20 Middle East on agent-initiated payments and proving authorization to regulators.
Behind the Verdict
Sphere attacks the part of agent deployment most tooling skips. Existing stacks mostly put a proxy, a gateway, or an observability agent next to the model and hope the agent respects it. Sphere instead runs the agent inside the Unicity AOS kernel and intercepts every prompt, tool call, and decision below the agent, so policy and budget limits cannot be routed around from inside a prompt. For a security architect that distinction is the whole product: output monitoring and prompt filtering are detective controls, kernel-level interception is preventative. The proof layer is the second differentiator. The Unicity Proof System is described as a purpose-built blockchain used for verifiable execution, identity, and coordination, and the result is one tamper-evident record instead of log fragments stitched together after an incident. If you have ever been asked by a regulator or an enterprise customer what an autonomous agent actually did, that artifact is the deliverable, not the log viewer. The SDK is coherent and consistent: @nametag identity with secp256k1 keypairs and HD multi-address, Sphere.init(), payments.send(), sendPaymentRequest() with waitForPaymentResponse(), market.postIntent() and market.search() on a cryptographic bulletin board, swap.proposeSwap() with signed manifests and nametag bindings, accounting.createInvoice() where the invoice token carries its terms on-chain, and communications.sendDM() plus broadcast() over Nostr NIP-04. Agents that need to find, negotiate with, pay, and settle against each other have primitives for the whole loop, peer-to-peer, with no backend of your own. Where it gets hard is the ramp. Private keys, HD addresses, nametags, and swap manifests are not optional decorations — they are how identity and settlement work, so teams without crypto fundamentals will spend real time getting oriented. The platform is coupled to the Unicity network and the Unicity Proof System, which means committing to that ecosystem alongside your existing cloud stack. Documentation and community are early-stage relative to established agent frameworks, there is no visual workflow builder, and the documented live build surface is Testnet v2. If your agents never touch money or regulated data, log-based observability remains cheaper and simpler. If they do, the kernel-plus-proof architecture is a genuinely different place to start.
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Real-world workflow fit
Concrete scenarios for the personas Sphere actually fits — and what changes day-one when you adopt it.
You already run Claude Code agents against internal tooling and need spend caps and tool allow-lists that hold up under audit rather than a policy the agent can be prompted around.
Outcome: Agents execute inside the Unicity AOS kernel on your network, every tool call is intercepted in-path against your policy set, and the Proof System returns one tamper-evident record you can hand to internal audit.
Your agent needs to advertise demand, find a counterparty, negotiate a price, and settle without you wiring up a marketplace backend.
Outcome: You call sphere.market.postIntent() and market.search() to find counterparties on the bulletin board, negotiate over encrypted DMs, then settle with swap.proposeSwap() using signed manifests so both sides commit or both keep their token.
You need machine-readable invoices whose terms travel with the payment rather than living in a PDF attached to an email.
Outcome: accounting.createInvoice() issues a token whose genesis data carries the serialized terms on-chain, and payments.sendPaymentRequest() with waitForPaymentResponse() tracks whether the counterparty actually paid.
Use Cases
- Run Claude Code, Codex, or Grok Code agents under kernel-enforced policy and budget limits before they touch production systems
- Give an autonomous agent a cryptographic @nametag so counterparties can resolve and verify it with sphere.resolve()
- Let procurement agents post intents and discover compute or API counterparties on a cryptographic bulletin board
- Settle agent-to-agent trades with atomic swaps so both sides commit or both keep their token
- Issue machine-readable invoices whose token carries the payment terms on-chain
- Produce one tamper-evident execution record when a regulator asks what an agent did
- Coordinate fleets of agents through encrypted DMs and relay-based group chat
- Reduce fleet cost per agent by routing each task to the cheapest capable model
Models Under the Hood
as of 2026-10-14
Limitations
- Sphere is infrastructure, and the ramp-up reflects that: you need working knowledge of crypto wallets, private keys, @nametag identity, and agent orchestration before anything ships.
- The platform is coupled to the Unicity network and the Unicity Proof System, so identity, settlement, and coordination primitives commit you to that ecosystem rather than your existing cloud stack.
- The live build surface documented on the developer page is Testnet v2 with the Sphere Developer Portal, and documentation and community are early-stage relative to established agent frameworks.
- There is no visual workflow builder; the developer surface is the SDK (Sphere.init, payments.send, market.postIntent, swap.proposeSwap, accounting.createInvoice, communications.sendDM).
- Security, cost, and proof claims in this review are the vendor's architectural description; validate them against your own compliance and infrastructure requirements before committing a production agent.
as of 2026-10-15
Verification history
We have re-verified Sphere 8 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 8 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Sphere tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Community (open source Unicity AOS)
$0
Ideal for
Security and platform engineers who want to evaluate kernel-level agent enforcement on their own hardware before committing to anything paid.
What this tier adds
Starting tier: the open source Community edition of the Unicity AOS kernel, self-hosted, with your own agent harness.
Sphere (Testnet v2)
Free
Ideal for
Developers building agents that must transact, coordinate, and settle with each other and need the identity, payment, and messaging primitives to do it.
What this tier adds
Adds access to the live Sphere Testnet v2 network and the @unicitylabs/sphere-sdk for identity, payments, swaps, and messaging on top of the kernel.
Where the pricing makes sense
The company stage and team size where Sphere's pricing actually pencils out — and where peers do it cheaper.
Pricing was not visible in this run's sources, so treat cost as an open question to settle with the vendor. Architecturally the trade is a self-hosted kernel plus a settlement network: you carry infrastructure cost in exchange for enforcement below the agent. Compare against observability and gateway tooling that is cheaper per seat but observes rather than enforces, and against managed agent platforms that charge per run but keep execution inside their own cloud.
Setup time & first value
How long it actually takes to get something useful out of Sphere — broken out by persona, not the marketing-page minute.
For a developer already comfortable with Claude Code or Codex: hours to Sphere.init() an @nametag identity and send a first P2P payment on Testnet v2 via npm install @unicitylabs/sphere-sdk. For a security architect adding kernel policy to an existing fleet, days to model the allow-lists, caps, and audit requirements. For teams new to private keys and nametags, budget weeks — that knowledge is
Switching to or from Sphere
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From ad-hoc agent observability logs: replace scattered tracing with one tamper-evident execution record and enforce budgets in the kernel instead of alerting after an overrun.
- →From an LLM gateway or proxy in front of your model: move enforcement below the agent so policy and budget limits cannot be routed around from inside a prompt.
- →From a hosted agent platform: run the same harness (Claude Code, Codex, Grok Code) inside the multi-tenant kernel on your own infrastructure so data stays on your network.
- ↗To a hosted agent platform: you give up in-path kernel interception and the tamper-evident record in exchange for less infrastructure you own.
- ↗To log-based observability tooling: cheaper and simpler when agents never touch money or regulated data, but you are inferring agent behavior instead of proving it.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Sphere”, and we withheld 6: 6 could not be judged, because “Sphere” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Sphere.
Official links
Featured Head-to-Head Comparisons
Sphere vs Bitsgap
Bitsgap and Sphere serve completely different purposes. Bitsgap is an automated crypto trading platform for human traders, offering bots, backtesting, and multi-exchange management with a freemium model. Sphere is a decentralized agent marketplace for machine-speed commerce, targeting developers building autonomous AI agents. Choose Bitsgap if you trade crypto; choose Sphere if you're developing agent economies.
Sphere vs Presto Voice
If you run a QSR chain with drive-thrus, Presto Voice is the clear winner—proven by partnerships with Dairy Queen and Taco John's, delivering up to 95% automation and revenue lift. Sphere is cutting-edge but targets only developers building autonomous agent marketplaces, not ready for mainstream restaurant use.
Sphere vs Truleo
Truleo and Sphere serve completely different markets. Truleo is a specialized investigation tool for law enforcement that connects siloed data and automates lead generation, while Sphere is a decentralized marketplace for AI agents to transact at machine speed. Choose Truleo if you're in law enforcement and need to reduce manual casework; choose Sphere if you're a developer building autonomous agent economies.
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