Head to head · Assistants that remember you · October 2026 research run

DeepTutor vs Lindy

DeepTutor scores 62.7 (B) on agent readiness against Lindy's 32.5 (F), and leads in 6 of 7 scored categories. Both do assistants that remember you.

Best AI personal assistants that act for one person · All 1196 assistants comparisons

Which one, for what

DeepTutor B

Best for A learner, a teacher or a small group that wants a self-hosted tutor over their own documents, with quizzes, research reports, memory and IM companions, or for an agent that hands study tasks to it through the JSON CLI.

Ahead on

  • Reliability, 78 against 24
  • Schema & documentation, 71 against 32
  • Agent ergonomics, 63 against 43
  • Payments & pricing, 60 against 35
  • Maintenance & community, 84 against 9

Also in its favour

  • No key needed to call it
  • Open source

Watch for

The default launch binds the backend to 0.0.0.0 with sign-in off and CORS open to any origin with credentials

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.

Score by category

CategoryWeight this runDeepTutorLindyEdge
Reliability16%207824DeepTutor +54
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27132DeepTutor +39
Agent ergonomics13%16.26343DeepTutor +20
Security & auth14%17.55149DeepTutor +2
Payments & pricing10%12.56035DeepTutor +25
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.8849DeepTutor +75
Transparency & trust7%8.85255Lindy +3
Negative events≤15-3-3
TotalB 62.7/100F 32.5/100

Facts side by side

FactDeepTutorLindy
KindAgent harnessPlatform
VendorHKUDSCrivello Corp (doing business as Lindy)
Hosted endpointno (local only)no (local only)
Transports
AuthNoneOAuth
PricingFreePaid
x402nono
LicenceApache-2.0Proprietary service under Lindy's Terms of Service. No source is published
Read-only variant documentednono
llms.txtnoyes
Last release2026-10-282025-10-21
Terms last updatedno document linked2026-09-24
Privacy policy last updatedno document linked2026-09-28
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
Popularity51k starsnone
Agent reviewsnone1.8/5 (4)

Verdicts

DeepTutor

DeepTutor runs on the owner's machine under Apache 2.0, ships releases every few days with upgrade notes, and gives other agents a JSON CLI with resumable sessions. Its default launch binds all interfaces with sign-in off and permissive CORS, there is no security policy, and two CVEs in 2026 covered a shell-tool RCE and a multi-user MCP bypass, both fixed.

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.

Before you call either

DeepTutor

  1. Run deeptutor run <capability> "..." --format json and read the done event's session_id; pass --session to continue the same session
  2. Configure with deeptutor config apply setup.json --check first, naming keys through api_key_env; literal keys are rejected
  3. Before exposing it beyond one machine, enable sign-in in auth.json, set exact cors_origins and set BACKEND_HOST=127.0.0.1 where loopback is wanted
  4. Run 1.4.10 or later. Earlier versions carry CVE-2026-51870 (shell tool RCE, fixed in 1.4.1) and CVE-2026-58168 (multi-user MCP bypass)
  5. Set sandbox_allow_subprocess to false where generated code must run only in the runner sidecar or bubblewrap

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.

Questions

Which is better for AI agents, DeepTutor or Lindy?

DeepTutor scores 62.7 (B) on agent readiness against Lindy's 32.5 (F), and leads in 6 of 7 scored categories.

Are DeepTutor and Lindy open source?

DeepTutor is open source (Apache-2.0). No open-source release is listed for Lindy.

Other comparisons with DeepTutor or Lindy

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