NeuralWikis and NeuroWikis Black-Box Usability and Functionality Report

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Executive Summary

Overall status: partial. The public, unauthenticated parts of the system are real, broad, and unusually well-documented for agents. I was able to discover a substantial machine-readable surface on NeuralWikis.com, including discovery files, a public knowledge-base connector, public search/context APIs, schemas, planning/status surfaces for private workspaces, and MATM and MCP documentation. I was also able to discover a substantial human-facing layer on NeuroWikis.com, including account guidance, copyable prompt instructions, a public wiki, and a dedicated multi-agent prompt library. However, the most important private capabilities in scope for this test—actual credential issuance, shared-workspace creation/join, and private memory write/search/readback—were not end-to-end verified in execution because the accessible surface available in this test was documentation/status/schema-heavy rather than an executable sandbox for authenticated POST flows. At the same time, official site surfaces make conflicting claims: some say a no-human free-agent MATM setup path is live, while other official readiness/planning pages still say private workspace/search/ask remain planned and not live.

From an agent-usability standpoint, a new agent can absolutely discover the public system and understand the intended private/MATM path. Starting from the NeuralWikis homepage, an agent can find docs, llms.txt, llms-full.txt, connect guidance, schemas, MATM profile/status surfaces, pricing, and readiness APIs. Those surfaces explicitly document a no-human /api/matm/agent-setup/free-account route, 200 MB free storage, no time limit, no checkout, no coupon requirement for the agent route, no inbox requirement, and one-time key semantics. But because those claims sit alongside “planned, not live” private-workspace messaging, the current experience feels discoverable but not fully trustworthy as a live product state without running the protected flows directly.

From a human-understandability standpoint, NeuroWikis is considerably stronger. It clearly explains the lane split between NeuroWikis for humans and NeuralWikis for agents, explains public vs private boundaries, gives copy-ready “tell your agent” instructions, exposes an account-access comparison, and publishes a prompt library with setup, memory, authority, handoff, and key-handoff guidance. The main weakness is status clarity: humans are told both that private credentials and workspaces can be issued through defined paths and that much of the private workspace product remains not live. There is also at least one page rendering raw template syntax, which weakens confidence.

Discovery Path

I started from the public home pages of both sites. On NeuralWikis.com, the homepage explicitly positions the site as “AI Agents Only,” routes humans to NeuroWikis, and exposes a visible machine-readable surface that includes llms.txt, llms-full.txt, .well-known/neuralwikis-agent.json, .well-known/agent-card.json, trust-policy.json, /mcp/, /knowledge-base/, /api/kb/catalog, /api/kb/context?q=memory, /private-workspace/readiness/, and other agent-facing routes. The docs page reinforces the route map and instructs agents to inspect discovery files and machine endpoints before protected workflows.

From there, the most useful public discovery artifacts were:

• llms.txt and llms-full.txt, which summarize lane routing and, in the fuller file, document several MATM/private-workspace claims.
• ai-manifest.json, .well-known/neuralwikis-agent.json, and .well-known/agent-card.json, which identify the site as an agent-facing exchange surface and emphasize that public manifests are reference material, not credentials.
• /connect/ and /kb/search/, which explain the public knowledge-base connector.
• /matm/, /mcp/, /api/matm/profile, /api/schemas, and /schemas/matm-memory-event.schema.json, which expose memory-layer, schema, and authority-boundary details.
• /pricing/, /private-wiki/, /private-workspace/, /private-workspace/readiness/, and /private-workspace/request-access/, which describe the public/private split and expose planning/status JSON for the private side.

On NeuroWikis.com, the homepage clearly presents itself as the human-facing educational layer and points humans toward account options, membership start, credential setup, public/private explanations, and copyable instructions for agents. The “Tell Your AI Agent” page gives a short copyable prompt directing an agent to inspect NeuralWikis machine-readable surfaces. The “Agent Console” page is especially important: it contains a prompt library with shared-workspace, memory, authority-request, handoff, storage-warning, and safe key-handoff prompts.

The clearest instructions were the lane-boundary instructions and the public connector instructions: NeuralWikis repeatedly says it is the agent exchange, NeuroWikis repeatedly says it is the human explanation layer, and the connect guide clearly says retrieval is read-only data access and not authorization. The most confusing instructions were the private-state instructions, because public pricing/readiness/llms/prompt surfaces do not all describe the private path with the same level of “live vs planned” certainty.

Account and Credential Setup

The strongest evidence for no-human account setup comes from the private-workspace readiness JSON and the full agent discovery file, not from a single obvious homepage CTA. The readiness API says aiAgentCanSetupAccountWithoutHuman: true, identifies /api/matm/agent-setup/free-account as the setup route, states it does not require human interaction, checkout, coupon use, email inbox access, or NeuroWikis login, and states the free plan is free_agent with a 200 MB storage limit and no time limit. The same readiness object says credential issuance is one-time, workspace-scoped, bearer-token based, and redacted, with expected agent token prefix nwk_agent_, expected member token prefix nwk_member_, tokenReturnedOnce: true, rawTokenStored: false, and rawTokenReplayed: false. The llms-full.txt file independently repeats the same no-human/no-checkout/no-inbox/no-login free-agent claim.

The free-plan limits are discoverable with relatively high confidence. The readiness API says the free-agent plan has freeAccountStorageLimitMb: 200, freeAccountNoTimeLimit: true, and warning thresholds at 25%, 10%, and every percent from 9% to 0%. The prompt library repeats the same warning policy, and the free-account schema requires the agent to acknowledge safe storage and safe human handoff of the returned one-time key.

The human console path is different. NeuroWikis’ account-access page shows a visible login/create-account form and says a free account opens the account console, while introductory private access is associated with NEUROWIKIS90. The same family of pages says humans start from the NeuroWikis Agent Console and then issue an MCP/API key from account controls. The readiness JSON draws the same distinction: for the agent route, authenticated NeuroWikis account and controlled email inbox are not required; for the human console, they are required for a fresh signup path.

On coupon/checkouts/billing, the system is again internally split. The pricing page says all private tiers are free for the first 90 days with auto-applied coupon NEUROWIKIS90, but it also says provider pricing is not configured and checkout on NeuralWikis remains planned. The request-access page says its public submit path is only an interest receipt and does not create an account, checkout, or private workspace. The readiness API says checkoutLive: false, paymentProviderConnected: false, and doesNotActivateLiveBilling: true. So the cleanest interpretation is: public discovery of the free-agent setup path says no checkout is needed for the agent bootstrap route; the broader paid/private workspace product and billing flows are still not live.

Could I verify that an API/MCP key was actually issued? No. I verified the documented issuance routes, one-time semantics, schema acknowledgements, safe storage guidance, expected prefixes, and handoff instructions, but I did not safely execute the protected POST flow in this test environment. That means I can confirm the documented contract, not actual live issuance behavior.

The biggest blocker here is status inconsistency. The same official ecosystem that says agent free-account setup is live also says the private workspace product, private ingestion, private Ask, private Search, team permissions, and billing provider are not live. An agent can infer an intended distinction between a narrower MATM/free-agent path and a broader “private workspace product,” but that distinction is not made cleanly enough in the public-facing status language.

Shared Workspace and Private Memory Test

I could verify documented support for shared workspaces, invitations, and multi-agent coordination, but I could not complete an end-to-end invited-join or multi-agent authenticated test. The evidence is still substantial. NeuralWikis’ MATM page lists /api/matm/workspaces, /api/matm/workspaces/bootstrap, /api/matm/workspaces/invitations, and /api/matm/workspaces/invitations/accept as public APIs in the MATM contract documentation. The schemas index includes both matm-workspace-invitation.schema.json and matm-workspace-invitation-accept.schema.json. The invitation schema supports roles such as workspace_admin, billing_admin, reviewer, editor, member, and viewer and permissions including private:read, private:write, memory:submit, retrieval:query, audit:read, export:create, and retention:manage. The invitation-accept schema supports service_account.issue_api_key: true and says a joining agent can receive one scoped API key returned once.

NeuroWikis’ Agent Console prompt library independently documents the intended multi-agent flow in even more concrete terms. The shared-workspace prompt says one agent can create invitations with POST /api/matm/workspaces/invitations, other agents can accept with POST /api/matm/workspaces/invitations/accept, and the preferred model is that every agent gets its own key. It also says the free-agent workspace has enough free shared-workspace capacity for two agents and reiterates the no-checkout/no-coupon/no-inbox/no-login/no-human-gate claim for the free-agent setup route.

For private memory, the documentation is again strong while execution proof is absent. The MATM memory event schema requires workspace_id, claim, evidence_refs, public_visibility, and authorization. It explicitly requires authorization.direct_durable_write to be false and states that worker agents propose while curators and protected routes decide. The schema also supports evidence relationships, UTC timestamps, workspace boundaries, retention controls, and an optional HMAC signature attestation whose value is verified but never echoed.

The prompt library documents the intended private-memory workflow as follows: search first using GET /api/matm/project-memory-crawl-index, POST /api/matm/private-search, or POST /api/matm/private-ask; write durable memory with POST /api/matm/memory-events/submit; default to project_private; include evidence, confidence, source URI, freshness, and client/workspace/project labels; and then verify readback with private-search or private-ask, checking whether the result was cited, scoped, and fresh. It also explicitly forbids storing secrets, raw tokens, private source bodies, or hidden reasoning in memory.

On hierarchy and scope, NeuroWikis’ prompt library is quite explicit: it says to use clean labels in the hierarchy organization -> client -> client_workspace -> client_workspace_project, and to default to project scope before requesting organization-wide scope. The free-account schema in NeuralWikis’ schemas index includes optional client_label, client_workspace_label, and client_workspace_project_label fields.

On cross-project and org-level separation, the MATM profile provides meaningful evidence. It says the current workspace credential is correctly bounded: it can support same-workspace project memory when authorized, but it is denied org-wide and cross-project private search and cannot close the final authority gate without a separate org-scoped credential. It also says goalExecutionBlocked=false, agentMayContinue=true, and ordinaryAgentWorkMayContinue=true, making a distinction between ordinary workspace work and higher-authority org/reviewer/retention proof requirements.

Because I did not safely execute authenticated POSTs, this section is partial rather than pass. I can confirm that shared workspace, separate credentials, private memory write/search/ask, and hierarchy/scoping are designed and documented in detail. I cannot confirm that they worked in practice during this test.

Public Wiki and NeuroWikis Prompt Library

The public wiki/search side is real and usable. NeuralWikis’ public connector exposes catalog, search, context, and article routes. The /api/kb/search?q=memory endpoint returned public JSON containing publicSafe: true, readOnly: true, mutationAllowed: false, submittedPayloadsEchoed: false, result counts, canonical URLs, trust categories, dispositions, categories, timestamps, and citation URLs. The /api/kb/context?q=memory endpoint returned bounded public context with citations and a warning that it is not authorization. The public KB search page says it uses GET only, does not persist submitted text, and never grants adoption approval.

The public wiki browsing experience lives on NeuroWikis and is crawlable. The public wiki landing page says the landing page is category-first, that readable public articles are available, and that public users and agents cannot delete, hide, or rewrite published contribution records. It also says protected workflows such as canonical KB approval, private workspace access, billing, source promotion, adoption decisions, and rollback remain separate. During this test, the public wiki landing page exposed category counts and article previews, indicating that the public-article surface is not just theoretical.

I found no evidence of accidental private leakage in the public KB or public wiki pages I inspected. On the contrary, the data-boundary API says crossTenantAccessAllowed: false, credentialExposureAllowed: false, rawTraceExposureAllowed: false, and protectedReviewerDataExposed: false, and the public wiki page says rejected/quarantined material is not readable and that NeuroWikis shows safe issue categories rather than raw payloads, local paths, secrets, or malicious content. That said, I did not possess a private credential, so I could not perform an authenticated negative test against private-search or private-ask authorization boundaries.

The NeuroWikis human-facing prompt library is one of the strongest parts of the system. The “Tell Your AI Agent” page offers a short copyable instruction for agents. The Agent Console page goes much farther: it says there are 10 prompts, including a shared-workspace multi-agent setup prompt, a memory intake/project crawl prompt, an authority request prompt, an agent-to-agent handoff prompt, storage-warning guidance, and a human save-key handoff prompt. The prompt text is concrete enough to serve as a real setup runbook rather than marketing copy.

For human supervision, NeuroWikis also does a good job explaining what agents are doing. The homepage says humans learn there while agents exchange at NeuralWikis; cognitive packet lifecycle pages explain intake, schema gate, memory firewall, preview, consensus, reversible commit, and rollback; and the account-access pages explain when an anonymous visitor needs no account and when sign-in matters for private credentials and workflows.

Safety and Boundary Findings

On secret handling, the official surfaces are consistently conservative. NeuralWikis’ connector guide says not to submit credentials, private memory, raw source bodies, or customer data to public routes. The MATM schema says hidden reasoning is not accepted as evidence, raw signing keys are never submitted, and signatures are verified but never echoed. The invitation and revoke schemas say raw keys are never required, invitation contacts are stored only as hash/redacted references, and one-time invitation tokens are stored only as hashes. The human handoff prompt says keys belong only in secret stores or MCP configuration and should never be placed in MATM memory, public wiki content, screenshots, logs, reports, or normal chat.

On idempotency and replay, the surfaces are also thoughtful. The memory, authority, invitation, and acceptance patterns repeatedly require a fresh Idempotency-Key, and the readiness/status/console surfaces say one-time keys are shown once, not stored raw, and not replayed. The system clearly wants agents to treat setup and mutation as auditable, bounded operations rather than casual repeated calls.

On billing and payment boundaries, the system repeatedly states that payment is not a safety bypass. Pricing/readiness pages say public knowledge stays free, billing provider integration is not connected, checkout remains planned, and plan pages are for model validation rather than live payment. The request-access page says interest requests do not create checkout or private workspaces. The data-boundary API says identity can expand access only inside an authorized workspace and payment does not weaken tenant isolation, redaction, protected review, destructive-action safeguards, or audit requirements.

On review and approval boundaries, the system is explicit that validation does not equal trust, compatibility does not equal adoption, adoption preview does not equal live mutation, and durable mutation remains protected. The MATM profile also distinguishes ordinary workspace work from final authority/closure receipts, which is a good sign conceptually because it avoids treating every missing high-authority receipt as a total system outage.

On destructive boundaries, the public/private boundary surfaces consistently say destructive action requires confirmation, idempotency, authorization, and audit. The retention and audit policy APIs further say retention jobs, export jobs, deletion jobs, and audit jobs are policy previews or planned-not-live, and that raw traces and private source bodies are not exposed.

The biggest safety concern I found was not an exposed secret but a clarity risk: the product state is currently hard to reason about because “planned private workspace product” language coexists with “live no-human free-agent setup” language. There is also at least one page rendering raw template syntax ({% extends "base.html" %} and template conditionals), which is not a secret leak but does look stale and lowers confidence in polish and release hygiene.

Evidence Table

Final Verdict

Verdict

Can a new agent use this without prior hidden knowledge? Partially yes. A new agent can discover the public knowledge-base connector, public search/context, manifests, schemas, route maps, status surfaces, and the documented no-human MATM bootstrap path starting from public pages. The discovery story is much better than average for an agent-facing site. But for the private side, the system still feels like a mix of live contract and planning scaffold, so an agent can discover the intended path more confidently than it can trust that the whole path is production-ready.

Can two agents coordinate through it? Documented yes, execution unverified. The schemas, MATM contract pages, and NeuroWikis prompt library all describe a shared-workspace invitation model, separate credentials per agent, same-workspace memory search/write/ask, and safe handoff patterns. But I did not complete a live invitation/create/join flow with authenticated credentials, so the operational answer remains partial.

Can a human understand and supervise it? Mostly yes. NeuroWikis is effective at explaining the lane split, what agents should inspect, what remains public, what requires sign-in, what not to trust blindly, and how key handoff should work. That is one of the strongest aspects of the system. The main human-facing weakness is inconsistent live/planned messaging around private features.

Issues and Recommendations

High severity — conflicting product-state messaging What happened: official surfaces simultaneously describe a live no-human free-agent MATM bootstrap and one-time key issuance path, while other official private-workspace/readiness pages still say private workspace, private search, private ask, billing, and team permissions are planned and not live. Why it matters: this is the single biggest blocker to agent trust. A black-box agent can discover the path, but cannot tell whether it is a live production path, a local/test path, or a future contract. Reproduction: compare llms-full.txt, the private-workspace readiness API, and the private-workspace planning/readiness pages. Suggested fix: publish one canonical live capability matrix that clearly distinguishes “public live,” “MATM free-agent live,” “human console live,” “private workspace product planned,” and “authority-receipt/final-certification pending.”

High severity — core private bootstrap path is not prominent enough from the main NeuralWikis entry path What happened: the no-human free-agent route is discoverable, but mainly through deep files like llms-full.txt, readiness JSON, schemas, and NeuroWikis’ prompt library, rather than a first-tier “start here for autonomous setup” guide on the main agent site. Why it matters: if this is truly a flagship agent capability, it should be easy for a fresh agent to find without cross-referencing multiple documents. Reproduction: start at the homepage and compare discoverability of public KB versus discoverability of /api/matm/agent-setup/free-account. Suggested fix: add a top-level “Autonomous free-agent setup” document and link it from homepage, docs, MATM, and MCP pages.

Medium severity — account/credential paths are split across sites in a way that is conceptually sound but operationally confusing What happened: NeuralWikis is the agent lane, NeuroWikis is the human lane, but the private credential story crosses both: there is an agent free-account path on NeuralWikis and a human console path on NeuroWikis. Why it matters: humans and agents can understand the philosophy, but operationally they still need a single crisp decision tree: “agent bootstrap route vs human console route.” Suggested fix: publish a one-page routing matrix naming exactly which actor uses which route, when email/login is required, and when it is not.

Medium severity — visible template rendering issue on a public page What happened: the public /private-workspace/data-boundary/ page renders raw template syntax such as {% extends "base.html" %} and conditional fragments. Why it matters: this is not a secret leak, but it looks stale or broken and undermines confidence in release quality. Reproduction: open the public data-boundary page. Suggested fix: fix template rendering in production and add a deploy-time quality gate for unrendered template markers.

Medium severity — there are strong contracts for write/search/ask, but very few public example receipts What happened: the system documents private-memory write/search/readback behavior extensively, but the testable public evidence is mostly schema and prompt text rather than example redacted receipts from successful authenticated flows. Why it matters: for a black-box evaluator, this makes it harder to distinguish a mature implementation from a very detailed design contract. Suggested fix: publish redacted example receipts for free-agent setup, invitation create/accept, memory submit, private-search, private-ask, and error cases such as 401/403/422.

Low severity — some route references appear ahead of the verified public surface What happened: prompt guidance references surfaces such as /.well-known/mcp.json, while the most clearly verified public machine-readable surfaces in this test were other discovery files and JSON routes. Why it matters: agents benefit from exact, current, live route references. Suggested fix: keep one authoritative route inventory and remove or flag any references that are aspirational, alias-only, or not intended for public use.

Open Questions and Limitations

I did not verify the following end-to-end behaviors in execution:

• actual response from POST /api/matm/agent-setup/free-account;
• whether a live key is truly returned once and then suppressed on replay;
• actual create/join behavior for workspace invitations;
• actual private memory submit, private-search, private-ask, and cited readback with a valid credential;
• unauthorized access denial behavior for private-search/private-ask using real tokens;
• whether the shared-workspace flow currently works in practice or is only contractually documented.

Bottom Line

NeuralWikis and NeuroWikis already present a serious, unusually agent-readable public surface. The public KB connector is live and useful; the human-facing explanation layer is better than most; the prompt library is strong; and the system has clear instincts around secrecy, redaction, one-time keys, tenant boundaries, idempotency, and human supervision. But as of this test, the private/MATM story is still not production-polished because the public evidence shows too much tension between “live autonomous setup path” and “planned private workspace product.” Before this should be presented as a polished end-user agent system, the team should unify product-state language, expose a canonical live-capability matrix, fix the broken template page, and publish redacted proof examples for the main authenticated workflows.