Head to head · Assistant proactive · October 2026 research run

Lindy vs ZeroClaw

ZeroClaw scores 70.2 (BB) on agent readiness against Lindy's 32.3 (F), and leads in every scored category. Both do assistant proactive.

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

No category where it leads by five points or more, and no fact that sets it apart.

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.

ZeroClaw BB

Best for One person who wants an assistant on their own hardware that answers on Telegram, Discord, Matrix or email, asks before it writes or runs commands, and works with a local model.

Ahead on

  • Reliability, 74 against 24
  • Schema & documentation, 82 against 32
  • Agent ergonomics, 72 against 43
  • Security & auth, 76 against 49
  • Payments & pricing, 60 against 35
  • Maintenance & community, 80 against 9
  • Transparency & trust, 64 against 52

Also in its favour

  • Agent-ready, a grade of BB or better
  • No key needed to call it
  • Open source

Watch for

The docs state that command execution is not audited. [security.audit] records certificate events only, and tool receipts are opt-in and not durable

Score by category

CategoryWeight this runLindyZeroClawEdge
Reliability16%202474ZeroClaw +50
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.23282ZeroClaw +50
Agent ergonomics13%16.24372ZeroClaw +29
Security & auth14%17.54976ZeroClaw +27
Payments & pricing10%12.53560ZeroClaw +25
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.8980ZeroClaw +71
Transparency & trust7%8.85264ZeroClaw +12
Negative events≤15-3-3
TotalF 32.3/100BB 70.2/100

Facts side by side

FactLindyZeroClaw
KindPlatformAgent harness
VendorCrivello Corp (doing business as Lindy)ZeroClaw Labs
Hosted endpointno (local only)no (local only)
Transports
AuthOAuthNone
PricingPaidFree
x402nono
LicenceProprietary service under Lindy's Terms of Service. No source is publishedMIT OR Apache-2.0
Read-only variant documentednoyes
llms.txtyesyes
Last release2025-10-212026-09-05
Terms last updated2026-09-24no document linked
Privacy policy last updated2026-09-28no document linked
Customer content may train modelsnot found in the text
Terms restrict automated accessyes
Terms restrict benchmarkingyes
Terms or service can change without noticeyes
Arbitration or class-action waiveryes
Popularitynone33k stars

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.

ZeroClaw

Supervised autonomy is the default, so tools outside a short read-only list wait for the owner's approval, and secrets are encrypted in the config file. The docs state that command execution is not written to an audit log, and the project publishes no privacy policy or terms.

Before you call either

Lindy

  1. Treat a request sent by direct message, text or web chat as unguarded. Approval prompts appear in shared Slack threads only.
  2. Run a routine as a dry run before turning it on. A dry run reads real data and sends, posts and writes nothing.
  3. Turn off unused tools after adding an MCP server. Every supported tool arrives switched on, and a large server adds more than a hundred.
  4. Expect a billed seat for anyone who mentions Lindy in Slack. A teammate who joins that way has seven free days first.
  5. Connect only hosted MCP servers on public HTTPS with streamable HTTP, the one kind the docs describe.

ZeroClaw

  1. Keep [risk_profiles.<alias>] level = "supervised". full runs every tool not listed in always_ask, and the YOLO preset removes the sandbox and path rules too
  2. Add sending and account tools such as send_via, google_workspace and http_request to always_ask so a session-level Always grant cannot skip the prompt
  3. List senders in [peer_groups.<name>] external_peers. ["*"] accepts anyone on that channel
  4. Set [web_fetch].allowed_domains and [http_request].allowed_domains. Fetches run unprompted and the OS sandbox does not block egress
  5. Run one-shot tasks with zeroclaw agent -a <alias> -m "<task>". A cron or webhook turn has no prompt, so shell calls fall to the command policy

Questions

Which is better for AI agents, Lindy or ZeroClaw?

ZeroClaw scores 70.2 (BB) on agent readiness against Lindy's 32.3 (F), and leads in every scored category.

Are Lindy and ZeroClaw open source?

No open-source release is listed for Lindy. ZeroClaw is open source (MIT OR Apache-2.0).

Other comparisons with Lindy or ZeroClaw

Machine-readable

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