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Head to head · Assistant proactive · October 2026 research run

Gemini Spark vs nanobot

nanobot scores 62.4 (B) on agent readiness against Gemini Spark's 24.5 (F), and leads in 6 of 7 scored categories. Both do assistant proactive.

Best AI personal assistants that act for one person · All 190 assistants comparisons

Gemini SparkGoogle LLC · Platform F24.5/100#974 of 986 nanobotHKUDS · Agent harness B62.4/100#446 of 986

Which one, for what

Gemini Spark F

Best for A person who already keeps mail, calendar and files in a personal Google Account and accepts Keep Activity being on.

Also in its favour

  • No incidents deducted, where nanobot loses 6 points for them

Watch for

No public API, SDK or MCP server for an outside agent was found. Spark is reached in the Gemini mobile app, the Mac app and gemini.google.com

nanobot B

Best for A technical owner who wants an assistant on their own machine across many chat apps, with file-based memory and a free choice of model.

Ahead on

  • Reliability, 70 against 14
  • Schema & documentation, 77 against 17
  • Agent ergonomics, 74 against 9
  • Payments & pricing, 60 against 10
  • Maintenance & community, 82 against 17

Also in its favour

  • No key needed to call it
  • Open source

Watch for

No per-action approval was found in the docs or source. The agent sends messages, runs shell commands and edits files without asking

Score by category

CategoryWeight this runGemini SparknanobotEdge
Reliability16%201470nanobot +56
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.21777nanobot +60
Agent ergonomics13%16.2974nanobot +65
Security & auth14%17.56063nanobot +3
Payments & pricing10%12.51060nanobot +50
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.81782nanobot +65
Transparency & trust7%8.84948Gemini Spark +1
Negative events≤150-6
TotalF 24.5/100B 62.4/100

Facts side by side

FactGemini Sparknanobot
KindPlatformAgent harness
VendorGoogle LLCHKUDS
Hosted endpointno (local only)no (local only)
Transports
AuthOAuthNone
PricingPaidFree
x402nono
LicenceProprietary hosted service under the Google Terms of ServiceMIT
Read-only variant documentednono
llms.txtnoyes
Last release2026-05-192026-09-15
Terms last updated2026-07-30no document linked
Privacy policy last updated2026-09-24no document linked
Customer content may train modelsyes, with an opt-out
Terms restrict automated accessyes
Terms restrict benchmarkingnot found in the text
Terms or service can change without noticenot found in the text
Arbitration or class-action waivernot found in the text
Popularitynone49k stars

Verdicts

Gemini Spark

Google's help pages state what Spark confirms before doing, how to delete its remote browser and code data, and the risks of prompt injection. Spark has no public API, Google calls it experimental, and it runs only with Keep Activity on, the setting under which chats are used for model training and human review.

nanobot

nanobot runs on the owner's machine under the MIT licence, with no telemetry found in its source and memory kept as files the owner can read and restore. No per-action approval step was found, and the shell sandbox and workspace restriction are off by default. Five security advisories were published between March and September 2026, all with fixes.

Before you call either

Gemini Spark

  1. Do not plan an integration against Spark. No public API or MCP server was found, and a person must hold a Google AI Pro or Ultra subscription
  2. Expect a confirmation request before sends, edits, purchases and web form submissions, and note that bulk changes to private Google Tasks run without one
  3. Delete remote browser data and remote code execution data in Gemini Spark Settings after a sensitive session. Deleting a task thread or Gemini Apps activity does not remove them
  4. Keep within 15 running tasks and 50 active schedules. A schedule does not run when 15 tasks are running or the usage limit is reached
  5. Treat every safety statement here as Google's own description. None was tested, and no message was sent to the service

nanobot

  1. Set tools.restrictToWorkspace to true and tools.exec.sandbox to bwrap or seatbelt before giving it real accounts. Both are off by default
  2. Run 0.3.0 or later. Earlier versions carry the published SSRF flaw in web fetch (GHSA-vc5v-6vwm-wf9m)
  3. Keep allowFrom narrow on every channel and never set ["*"] on Email, which has no pairing
  4. Write secrets as ${VAR} references in ~/.nanobot/config.json. Plain values are stored in clear text
  5. Use nanobot -m "..." for a one-shot run, and keep nanobot gateway running for channels, schedules and heartbeat

Questions

Which is better for AI agents, Gemini Spark or nanobot?

nanobot scores 62.4 (B) on agent readiness against Gemini Spark's 24.5 (F), and leads in 6 of 7 scored categories.

Are Gemini Spark and nanobot open source?

No open-source release is listed for Gemini Spark. nanobot is open source (MIT).

Other comparisons with Gemini Spark or nanobot

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