Head to head · Proactive personal assistants · October 2026 research run
Lindy vs Town
Town scores 48.7 (D) on agent readiness against Lindy's 32.3 (F), and leads in 6 of 7 scored categories. Lindy leads on payments & pricing. Both do proactive personal assistants.
Best AI personal assistants that act for one person · All 834 assistants comparisons
Which one, for what
Lindy F
Best for Lindy suits a person or small team that lives in Slack and Google or Microsoft mail and wants briefs, drafts, scheduling and meeting notes done on a schedule.
Ahead on
- Payments & pricing, 35 against 30
Watch for
The integrations page says approval settings apply in shared Slack threads only. Web chat, Slack direct messages, iMessage and SMS are not covered, and reads are never covered.
Town D
Best for An owner who wants a mail and calendar assistant whose routines other systems can trigger.
Ahead on
- Reliability, 35 against 24
- Agent ergonomics, 49 against 43
- Security & auth, 79 against 49
- Maintenance & community, 60 against 9
- Transparency & trust, 63 against 52
Also in its favour
- No incidents deducted, where Lindy loses 3 points for them
Watch for
The privacy policy describes training with an opt-out and the trust page says training is opt-in.
Score by category
| Category | Weight this run | Lindy | Town | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 24 | 35 | Town +11 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 32 | 33 | Town +1 |
| Agent ergonomics | 13%16.2 | 43 | 49 | Town +6 |
| Security & auth | 14%17.5 | 49 | 79 | Town +30 |
| Payments & pricing | 10%12.5 | 35 | 30 | Lindy +5 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 9 | 60 | Town +51 |
| Transparency & trust | 7%8.8 | 52 | 63 | Town +11 |
| Negative events | ≤15 | -3 | 0 | |
| Total | F 32.3/100 | D 48.7/100 |
Facts side by side
| Fact | Lindy | Town |
|---|---|---|
| Kind | Platform | Platform |
| Vendor | Crivello Corp (doing business as Lindy) | Town.com, Inc. |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | HTTP | |
| Auth | OAuth | OAuth or key |
| Pricing | Paid | Freemium |
| x402 | no | no |
| Licence | Proprietary service under Lindy's Terms of Service. No source is published | Closed service under Town's Terms of Service (Town.com, Inc., updated 21 July 2026). |
| Read-only variant documented | no | yes |
| llms.txt | yes | no |
| Last release | 2025-10-21 | 2026-10-10 |
| Terms last updated | 2026-09-24 | |
| Privacy policy last updated | 2026-09-28 | |
| Customer content may train models | not found in the text | |
| Terms restrict automated access | yes | |
| Terms restrict benchmarking | yes | |
| Terms or service can change without notice | yes | |
| Arbitration or class-action waiver | yes |
Verdicts
Lindy
Lindy keeps what it remembers in files the owner can read and edit, and publishes credit prices. Its approval setting applies in shared Slack threads only, so writes asked for by direct message, text or web chat run unasked, which its pricing page does not say. It has no status page, and its changelog stops in October 2025.
Town
Town is a hosted assistant that works across the owner's mail, calendar and work apps, and other systems can start its routines through per-routine webhooks with rotatable secrets, idempotency keys and documented errors. A caller can't read a run's result. The privacy policy and trust page disagree on whether training is on by default.
Before you call either
Lindy
- Treat a request sent by direct message, text or web chat as unguarded. Approval prompts appear in shared Slack threads only.
- Run a routine as a dry run before turning it on. A dry run reads real data and sends, posts and writes nothing.
- Turn off unused tools after adding an MCP server. Every supported tool arrives switched on, and a large server adds more than a hundred.
- Expect a billed seat for anyone who mentions Lindy in Slack. A teammate who joins that way has seven free days first.
- Connect only hosted MCP servers on public HTTPS with streamable HTTP, the one kind the docs describe.
Town
- Start a Town routine with POST to its webhook URL, Authorization Bearer whsec_ secret, and application/json or text/plain. Expect 202 only.
- Send X-Town-Idempotency-Key with a stable event id on every retry so Town doesn't start a second run.
- Treat 404 as wrong secret, disabled endpoint or missing endpoint alike, and ask the owner to check Routine Settings rather than retrying.
- Send account_email only if the owner allowed the override. It must match a connected account in full and can't widen the routine's scope.
- Ask the owner to keep routines that act on webhook input in approval-required mode, as Town's own docs advise.
Questions
Which is better for AI agents, Lindy or Town?
Town scores 48.7 (D) on agent readiness against Lindy's 32.3 (F), and leads in 6 of 7 scored categories. Lindy leads on payments & pricing.
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- nanobot vs Town
- NanoClaw vs Town
- Dots vs Town
- OpenClaw vs Town
- PicoClaw vs Town
- Poke vs Town
- QwenPaw vs Town
- Town vs ZeroClaw
- Town vs Zo Computer
- Lindy vs Natura tinyNature
- Lindy vs Pally
- Lindy vs Tomo
- Lindy vs Wajo (Fo)
- Natura tinyNature vs Town
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- Lindy vs Talorys
- Talorys vs Town
Disclosure
Town 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.
Machine-readable
- This page as Markdown
/compare/lindy-vs-town.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/lindy.json·/api/v1/tools/town.json - From a terminal
anchor compare lindy town(the CLI) - Over MCP
compare_tools {"a": "lindy", "b": "town"}at/mcp, no key