LearnHarness vs Zo Computer

LearnHarness

The in-app agent reads files but cannot change them or run commands, and a bundled skill gives other agents a documented read-only view of sessions and the knowledge graph. The project is 14 days old at 0.4.0, its file reads reach the whole home directory without approval, and it has no security policy.

Zo Computer

Zo publishes an OpenAPI file, Markdown docs, plan prices and a named list of the providers that receive user content. One access token grants full access to the workspace, no approval step before sending or buying was found in the reviewed docs, and no status page, rate limit or SLA is published.

LearnHarness

1. Use the bundled skill (skills/learnharness/SKILL.md) to read a learner's record. It needs Python 3.10 or later and writes nothing
2. Pass --format json before the subcommand, for example python3 -B scripts/graph.py --format json propositions
3. Treat stored answer keys and teacher prose as model-authored. A proposition in the graph is not evidence the learner understood it
4. Do not read auth.json, which sits one folder above the data folder and holds provider keys in plain text
5. Close the app or re-read when a stable snapshot matters. The readers do not lock files while the app writes

Zo Computer

1. Send POST https://api.zo.computer/zo/ask with Authorization: Bearer zo_sk_... and an input string. The owner creates the token under Settings > Advanced
2. Pass persona_id for a persona with a narrow tool set. The token itself carries every permission the owner has
3. Set memory_mode to off to keep workspace memory out of a request. The field is in the OpenAPI file and absent from the API guide
4. Do not retry /zo/ask blindly after a timeout. No idempotency key is documented and the request may already have sent a message
5. Append .md to any guide or reference URL for Markdown