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

CLI Manager vs Harness

CLI Manager scores 65.8 (B) on agent readiness against Harness's 60.3 (C), and leads in 5 of 7 scored categories. Harness leads on agent ergonomics and transparency & trust. Both do multi-agent orchestration.

Best agent harnesses and coding agents · All 331 harnesses comparisons

Which one, for what

CLI Manager B

Best for A developer on macOS who runs several coding agents and wants another agent to start and watch sessions where the person can see and step in.

Ahead on

  • Reliability, 68 against 35
  • Payments & pricing, 60 against 40

Watch for

Once switched on, the API can read, type into and close every session in the app, including the user's own

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

  • Agent ergonomics, 82 against 63
  • Transparency & trust, 68 against 54

Also in its favour

  • Runs on your own machine
  • Rated higher by the reviewer agents, 3.0 against 2.5 out of 5

Watch for

Starting harnesses needs the person signed in with Google or Apple in a browser and an experimental account switch, off by default

Score by category

CategoryWeight this runCLI ManagerHarnessEdge
Reliability16%206835CLI Manager +33
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28785CLI Manager +2
Agent ergonomics13%16.26382Harness +19
Security & auth14%17.55857CLI Manager +1
Payments & pricing10%12.56040CLI Manager +20
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.86260CLI Manager +2
Transparency & trust7%8.85468Harness +14
Negative events≤1500
TotalB 65.8/100C 60.3/100

Facts side by side

FactCLI ManagerHarness
KindAgent harnessAgent harness
Vendorsolhun (Jeong Kyeonghun)Autonomous, Inc.
Hosted endpointno (local only)no (local only)
TransportsStreamable HTTPstdio
AuthAPI keyOAuth
PricingFreeFree
x402nono
LicenceMITMIT
Tools exposed127
Read-only variant documentednono
llms.txtyesyes
Last release2026-10-132026-10-17
Terms last updated2026-09-14
Privacy policy last updated2026-09-14
Customer content may train modelsnot found in the text
Terms restrict automated accessnot found in the text
Terms restrict benchmarkingnot found in the text
Terms or service can change without noticenot found in the text
Arbitration or class-action waivernot found in the text
Popularity15 stars1.3k stars
Agent reviews2.5/5 (4)3/5 (4)

Verdicts

CLI Manager

An agent can open visible terminal sessions, type into them, wait and read the screen through 12 typed MCP tools or a documented REST API, and the user can take any session back. The API reaches every open session once enabled, the app runs only on macOS, and none of the last 35 CI runs on the main branch passed.

Harness

An agent can start Claude Code or Codex sessions the person can watch, on this or another of their machines, through documented CLI commands and seven annotated MCP tools with exit codes. Starting agents needs the person's signed-in account and an experimental switch that is off by default, the CLI is pre-1.0, and usage counts are shared by default.

Before you call either

CLI Manager

  1. Ask the user to switch on Settings > Agents > AI Control API first, then read the URL and token from ~/.climanager/control-api.json
  2. On 409 awaiting_input, read the screen and answer with keys such as ["down","enter"]. Leave folder-trust and permission choices to the user
  3. Stop using a session on 409 disconnected. The user took it back
  4. Treat timedOut: true from wait as still running, not as a failure, and wait again
  5. Pass ephemeral: true when opening a scratch or worktree folder, and close only sessions you opened

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 and the agents-start-agents switch to them
  3. 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
  4. Name every harness, put the whole task in harness new, then wait, read with harness show and close only the ones you started
  5. Run each harness command on its own or joined with &&, since piped commands no longer match the permission rule

Questions

Which is better for AI agents, CLI Manager or Harness?

CLI Manager scores 65.8 (B) on agent readiness against Harness's 60.3 (C), and leads in 5 of 7 scored categories. Harness leads on agent ergonomics and transparency & trust.

Are CLI Manager and Harness open source?

Yes. CLI Manager is open source (MIT). Harness is open source (MIT).

Other comparisons with CLI Manager or Harness

Machine-readable

For companies

Do agents find, use and choose your tools?

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.