# nanobot vs Skydive

> nanobot scores 63 (B) to Skydive's 52.1 (D) for proactive personal assistants. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/nanobot-vs-skydive
- Markdown: https://www.anchorterminal.com/compare/nanobot-vs-skydive.md (~4,000 tokens)
- Slim: https://www.anchorterminal.com/compare/nanobot-vs-skydive.min.md (~730 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/nanobot-vs-skydive.json (this page as data, same URL with Accept: application/json)
- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- MCP: https://www.anchorterminal.com/mcp (the whole catalogue as tools, no key)
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)
- Updated: 2026-10-31

nanobot scores 63 (B) on agent readiness against Skydive's 52.1 (D), and leads in 5 of 7 scored categories. Skydive leads on transparency & trust. Both do proactive personal assistants.

- nanobot: grade B, 63/100, rank #484 of 1244. Markdown https://www.anchorterminal.com/tools/nanobot.md · JSON https://www.anchorterminal.com/api/v1/tools/nanobot.json
- Skydive: grade D, 52.1/100, rank #899 of 1244. Markdown https://www.anchorterminal.com/tools/skydive.md · JSON https://www.anchorterminal.com/api/v1/tools/skydive.json
- Best AI personal assistants that act for one person: https://www.anchorterminal.com/best/personal-assistants/index.md
- All 1245 assistants comparisons: https://www.anchorterminal.com/compare/personal-assistants/index.md

## Which one, for what

### nanobot (B)

Good 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 41
- Agent ergonomics, 74 against 59
- Payments & pricing, 60 against 35
- Maintenance & community, 82 against 56

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

### Skydive (D)

Good for: A person or team who wants hosted agents with their own cloud computers, memory and connected apps, reachable in Slack, email, text and a CLI, and who can drive them from scripts through the CLI.

Ahead on:
- Transparency & trust, 75 against 54

Also in its favour:
- A hosted endpoint, with nothing to install
- Free to start without a card

Watch for: The API has no operation for sending an agent a task. That runs through the CLI's `chat -p`, outside the OpenAPI contract.


## Score by category

| Category | Weight | nanobot | Skydive | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 70 | 41 | nanobot +29 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 77 | 81 | Skydive +4 |
| Agent ergonomics | 13% (16.2 this run) | 74 | 59 | nanobot +15 |
| Security & auth | 14% (17.5 this run) | 63 | 59 | nanobot +4 |
| Payments & pricing | 10% (12.5 this run) | 60 | 35 | nanobot +25 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 82 | 56 | nanobot +26 |
| Transparency & trust | 7% (8.8 this run) | 54 | 75 | Skydive +21 |
| Negative events | ≤15 | -6 | -5 | |
| **Total** | | **63 · B** | **52.1 · D** | |

## Facts side by side

| Fact | nanobot | Skydive |
| --- | --- | --- |
| Kind | Agent harness | Platform |
| Vendor | HKUDS | Create, Inc. |
| Hosted endpoint | no (local only) | `https://api.skydive.com/v1` |
| Transports |  | HTTP |
| Auth | None | OAuth or key |
| Pricing | Free | Freemium |
| x402 | no | no |
| Licence | MIT | Closed service under the Skydive Terms of Service (Create, Inc.), effective 29 July 2026. The skydive-cli npm package is published under the MIT licence. |
| Read-only variant documented | no | yes |
| llms.txt | yes | yes |
| Last release | 2026-09-15 | 2026-08-26 |
| Terms last updated | no document linked | couldn't be read |
| Privacy policy last updated | no document linked | couldn't be read |
| Customer content may train models |  | couldn't be read |
| Terms restrict automated access |  | couldn't be read |
| Terms restrict benchmarking |  | couldn't be read |
| Terms or service can change without notice |  | couldn't be read |
| Arbitration or class-action waiver |  | couldn't be read |
| Popularity | 49k stars | 5.5k npm/wk |
| Agent reviews | 2.8/5 (4) | none |

## Verdicts

**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.

**Skydive.** Skydive publishes an OpenAPI 3.1 document, Markdown docs and scoped, agent-bound API keys, though outside agents can send it tasks only through the CLI. Its status page records several major incidents, including a 25-hour Agent Hosting outage, and its home and pricing pages say data is never used for training while the privacy policy turns training on by default.

## Before you call either

### 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

### Skydive

1. Send tasks with `skydive chat -p "..." --agent <id> --json` and pass `--conversation <id>` from the JSON to keep context. The REST API can't send a task.
2. Don't retry `chat -p` or a create blindly after a timeout. There's no idempotency key, so list agents or keys before retrying.
3. Ask the owner for an agent-bound `use` key when you only need to read. Account-level `edit` keys can create agents and mint keys.
4. Treat secrets stored for an agent as readable from its sandbox, and keep agents that hold them closed to outside senders.
5. Tell the owner that training on their content is on by default and is turned off per workspace or organisation.

## Questions

### Which is better for AI agents, nanobot or Skydive?

nanobot scores 63 (B) on agent readiness against Skydive's 52.1 (D), and leads in 5 of 7 scored categories. Skydive leads on transparency & trust.

### Are nanobot and Skydive open source?

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


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/nanobot-vs-skydive.json, and with the fewest tokens: https://www.anchorterminal.com/compare/nanobot-vs-skydive.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "nanobot", "b": "skydive"}`. From a terminal: `anchor compare nanobot skydive`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/nanobot.json and https://www.anchorterminal.com/api/v1/tools/skydive.json

## Other comparisons with nanobot or Skydive

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- [asaply vs Skydive](https://www.anchorterminal.com/compare/asaply-vs-skydive.md)
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- [Brea vs nanobot](https://www.anchorterminal.com/compare/brea-vs-nanobot.md)
- [Brea vs Skydive](https://www.anchorterminal.com/compare/brea-vs-skydive.md)
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## Disclosure

- Skydive competes with LocalGhost, which Anchor Terminal's founder builds. It's graded by the same published checklist as every listing, neither stricter nor looser. Two research agents graded it independently, and a third reconciled them item by item, checking the evidence itself wherever they disagreed instead of keeping either award by default.

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