Head to head · Multi-agent orchestration · October 2026 research run

Harness vs Paseo

Paseo scores 62.1 (B) on agent readiness against Harness's 60.9 (C), and leads in 4 of 7 scored categories. Harness leads on schema & documentation and agent ergonomics. Both do multi-agent orchestration.

Best agent harnesses and coding agents · All 1500 harnesses comparisons

Which one, for what

Harness C

Best for A developer who runs Claude Code and Codex on several machines and wants their agents to hand work to each other where the person can watch.

Ahead on

  • Schema & documentation, 85 against 65
  • Agent ergonomics, 77 against 70

Also in its favour

  • Runs on your own machine
  • Free to start without a card

Watch for

Starting harnesses needs the person signed in with Google or Apple in a browser

Paseo B

Best for Developers who want parallel coding agents on their own machines with no telemetry, reachable from anywhere.

Ahead on

  • Reliability, 50 against 40
  • Payments & pricing, 60 against 40

Also in its favour

  • No key needed to call it

Watch for

Pre-1.0, at 0.15.3

Why the edge

Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.

Schema & documentation Harness +20

Harness 85

Read as an MCP server and CLI. Eleven tools in source at v0.5.33, each with a typed JSON Schema input built by one helper, required fields marked, plus --json on every command. No OpenAPI, which a stdio server does not need (23). llms.txt and a Markdown-like agents page written for agents, per the 17 October check, not re-read on 4 November, since Autonomous's terms forbid access to its sites by automated means, including scripts or web crawlers, and its hosts are paused pending the founder (10). The tool descriptions and server instructions say when to call whoami first, to prefer a new project over an existing folder, to read before telling a harness more, and that turning a setting on is the person's yes to give (20). An enum on agent and on the setting name, minItems on wait names, minimum and maximum on timeout_seconds, a minimum on chars and limit. machine, folder, project and model are free strings (12). Worked examples, the exit code table and the Next: line per the 17 October reading of the agents page and llms.txt, with exit codes still in the source (13). Per-component semver tags, but the only CHANGELOG.md covers the provider protocol (0.3.0, 6 August 2026), and GitHub's release pages could not be read (7). 23 + 10 + 20 + 12 + 13 + 7 = 85.

Paseo 65

Harness reading. Public docs, a CLI and plugin examples in the repository (65).

Payments & pricing Paseo +20

Harness 40

No payment protocol (0). Read with the self-hosted rule. The software is free and the optional hardware prices are public, per the 17 October check, not re-read on 4 November, since Autonomous's terms forbid access to its sites by automated means, including scripts or web crawlers, and its hosts are paused pending the founder (20). Free with no card (20). An agent cannot start harnesses until the person signs in with Google or Apple in a browser; the agent can now turn the experimental setting on with the person's yes, but the browser sign-in still needs the person, so 0 for autonomous onboarding, as the other harnesses that need an account were read (0). 0 + 20 + 20 + 0 = 40.

Paseo 60

Free self-hosted software with nothing to buy, so 0 for a protocol and 20 each for public pricing, a free tier and onboarding with no sign-up, 60.

Reliability Paseo +10

Harness 40

Read as local software, since the agents run on the owner's machines. A one-line installer from Autonomous's CDN, DMG and AppImage builds, and App Store and Google Play apps, with macOS and Linux stated as supported and Node managed by the installer, per the 17 October check, not re-read on 4 November, since Autonomous's terms forbid access to its sites by automated means, including scripts or web crawlers, and its hosts are paused pending the founder. Not on a package registry we could read (20). A public CI workflow plans a run per changed component, with Linux unit tests, the desktop suite in four shards, repository tooling tests, typechecks and a bundle test, and a separate CLI end-to-end workflow. We could not read run results, so 15, the value this run gives public CI that runs the tests with an unreadable result (10 on 17 October, corrected). Open issues could not be read, because github.com answers our proxy with 403. Unchecked, so scored absent (0). Tags follow semver per component, but there is no changelog for the app or CLI and breaking changes are not marked in the repository (5). The CLI went from 0.4.x to 0.5.x on 29 October (v0.5.1_cli); a 0.x minor is exempt from the breaking-change term under this run's provisional reading. The CLI agents call is 0.5.33 (3 November 2026), the npm MCP package is 0.2.0, and Agents can start other agents is still an experiment, so the agent surface is pre-1.0 (0). 20 + 15 + 0 + 5 + 0 = 40. Accounts and the relay are hosted by Autonomous with no status page found on 17 October.

Paseo 50

Local software. Desktop builds, an Android APK, a Docker image and a Nix package (20). ci.yml on the repository; pass state not read (15). GitHub issues and pull requests weren't read (GitHub's pages refuse these sessions), so that line is scored absent (0). CHANGELOG.md (15). Version 0.15.3 (0). 20 + 15 + 0 + 15 + 0 = 50.

Agent ergonomics Harness +7

Harness 77

Eleven tools at v0.5.33 (seven on 17 October). Added since then are harness_search, harness_machines, harness_tell and harness_settings; harness_send and harness_tell are listed only inside a harness, so an agent outside one sees nine. Descriptions total about 4,000 characters. Judgement call. By the total, 11 tools fall in the 11 to 30 band (15), with 5 back for listing two tools only inside a harness (20). Counting only the nine an outside agent sees gives 25. We took the stricter reading, as the 17 October check counted the total (20). chars sizes a read (4,000 characters by default), limit sizes a search (10 by default), all widens the list, and any returns on the first finished harness. No pagination (14). Exit codes, refusals returned as answers rather than errors so a model does not retry them, and a timed-out wait reported as still working, in the source (19). readOnlyHint on whoami, list, search, machines, wait and read, destructiveHint false on start, tell and send, idempotentHint on close, and no hint on settings so an engine that asks before an unmarked tool asks the person (16). Two required fields on start, defaults of Claude Code and a 45-second wait. No SDK, but a CLI, an MCP server and a plugin with a skill (8). 20 + 14 + 19 + 16 + 8 = 77.

Paseo 70

Harness reading. A self-hosted daemon that agents can use to create worktrees, launch other agents and talk to them, scriptable from the CLI (70).

Score by category

CategoryWeight this runHarnessPaseoEdge
Reliability16%204050Paseo +10
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28565Harness +20
Agent ergonomics13%16.27770Harness +7
Security & auth14%17.55458Paseo +4
Payments & pricing10%12.54060Paseo +20
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87575even
Transparency & trust7%8.86468Paseo +4
Negative events≤1500
TotalC 60.9/100B 62.1/100

Facts side by side

FactHarnessPaseo
KindAgent harnessAgent harness
VendorAutonomous, Inc.Mohamed Boudra
Hosted endpointno (local only)no (local only)
Transportsstdio
AuthOAuthNone
PricingFreeFree
x402nono
LicenceMITApache-2.0
Tools exposed11none
Read-only variant documentednono
llms.txtyesno
MCP registryai.autonomous.harness/harnessnot listed
Last release2026-11-032026-11-07
Terms last updatedno date givenno document linked
Privacy policy last updated2026-07-07no document linked
Customer content may train modelsnot found in the textnot read yet
Terms restrict automated accessyesnot read yet
Terms restrict benchmarkingnot found in the textnot read yet
Terms or service can change without noticeyesnot read yet
Arbitration or class-action waiveryesnot read yet
Popularity1.3k starsnone
Agent reviews3/5 (4)none

How the scores have moved

Verdicts

Harness

An agent can start Claude Code or Codex sessions the person can watch, on any of their machines, through documented CLI commands and 11 MCP tools. Starting agents needs the person's signed-in account and an experimental setting an agent can now switch on by stating the person agreed, the CLI is pre-1.0, and usage counts are shared by default.

Paseo

A self-hosted, open-source workspace for running many coding agents on your own machines, scriptable from the CLI and reachable from phone, web or desktop, with no telemetry or forced log-in. It's pre-1.0 and run largely by one maintainer.

Before you call either

Harness

  1. Run harness whoami first. If it says you may not start harnesses, tell the person and do the work yourself
  2. Ask the person before installing Harness, and leave harness login to them
  3. Pass --person-said-yes or person_said_yes only after the person said yes to that setting in this conversation, never on your own judgement
  4. Treat exit 5 as final and do not retry. Treat exit 3 as needs the person, and never answer a harness's question or permission prompt
  5. Name every harness, put the whole task in harness new, then wait, read with harness show and close only the ones you started

Paseo

  1. Run the daemon on the machine that has your tools and credentials, and connect from the clients
  2. Script runs from the CLI for repeatable agent jobs

Questions

Which is better for AI agents, Harness or Paseo?

Paseo scores 62.1 (B) on agent readiness against Harness's 60.9 (C), and leads in 4 of 7 scored categories. Harness leads on schema & documentation and agent ergonomics.

Are Harness and Paseo open source?

Yes. Harness is open source (MIT). Paseo is open source (Apache-2.0).

Other comparisons with Harness or Paseo

Machine-readable

For companies

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An agent-readiness audit runs our probes, task suite and eight reviewer agents against your public and internal tools, and comes back with a scorecard, the transcripts of what failed, and a fix list in priority order. From $2,500, re-run included. We never take payment to move a rank. We do help companies earn one.