# goose vs Paseo

> goose scores 71.3 (BB) to Paseo's 62.1 (B) for agent harnesses. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/goose-vs-paseo
- Markdown: https://www.anchorterminal.com/compare/goose-vs-paseo.md (~5,450 tokens)
- Site index for agents: https://www.anchorterminal.com/llms.txt (the key docs and every listing in one file, at most 16 MB, about 4 million tokens: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- MCP: https://www.anchorterminal.com/mcp (the whole catalogue as tools, no key)
- DNS: dig +short TXT <slug>.grade.anchorterminal.com (the grade as a DNS TXT record, for a sandbox with no HTTP where names still resolve; also top., best.<category>. and <a>.vs.<b>. under the zone, and the same under grade.letme.dev)
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)
- Updated: 2026-11-07

goose scores 71.3 (BB) on agent readiness against Paseo's 62.1 (B), and leads in 5 of 7 scored categories. Both do agent harnesses.

- goose: grade BB, 71.3/100, rank #165 of 1486. Markdown https://www.anchorterminal.com/tools/goose.md · JSON https://www.anchorterminal.com/api/v1/tools/goose.json
- Paseo: grade B, 62.1/100, rank #575 of 1486. Markdown https://www.anchorterminal.com/tools/paseo.md · JSON https://www.anchorterminal.com/api/v1/tools/paseo.json
- Best agent harnesses and coding agents: https://www.anchorterminal.com/best/agent-harnesses/index.md
- All 1500 harnesses comparisons: https://www.anchorterminal.com/compare/agent-harnesses/index.md

## Which one, for what

### goose (BB)

Good for: People and pipelines that want one agent across many model providers or local models, with recipes for repeatable jobs and a desktop app for non-engineers.

Ahead on:
- Reliability, 77 against 50
- Schema & documentation, 81 against 65
- Agent ergonomics, 82 against 70
- Security & auth, 77 against 58
- Maintenance & community, 86 against 75

Also in its favour:
- Agent-ready, a grade of BB or better
- Free to start without a card

Watch for: Autonomous mode, which approves every tool call, is the default

### Paseo (B)

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

Also in its favour:
- No incidents deducted, where goose loses 5 points for them

Watch for: Pre-1.0, at 0.15.3


## Why the edge

### Reliability: goose +27

- goose (77): Read as a local package, which is how the 1 October dossier read it. Desktop builds and a CLI for macOS, Linux and Windows (a Windows NSIS installer from 1.56.0), Homebrew casks, a download script on GitHub releases, an npm package that installs the binary (@aaif/goose-acp) and a GHCR image, with Rust 1.94.1 as the minimum for source builds (20). A CI workflow runs on every push to main, with cargo-deny, cargo-machete, MCP and tool-call conformance and an OpenSSF Scorecard job beside it. The Actions page loaded on 1 October showed only passing runs from March 2026, and GitHub pages refused our requests on 6 and 17 October and 1 November, so the current state is unconfirmed (18). 266 to 271 open issues on 1 October, many from that week with no reply, including open reports that the default mode approves every tool call (#12567) and that schedules can overwrite each other (#12613), per the 1 October check, not re-read since (15). Weekly minor releases with notes written by a release-notes workflow whose sections are `Features`, `Bug Fixes`, `Improvements` and `Documentation`, with no breaking-change section. 1.55.0 dropped background subagents (`delegate(..., async: true)` and `GOOSE_MAX_BACKGROUND_TASKS`) and 1.57.0 dropped the developer tools that delegated file reads and terminal commands to an ACP editor, each edited out of the code and docs with no earlier notice (9). 1.57, stable (15).
- 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.

### Security & auth: goose +19

- goose (77): Harness reading of the framework checklist, used for all five harnesses in this batch. 30 for what leaves the machine by default, 20 for approvals and sandboxing, 15 for prompt-injection posture, 15 for audit and 20 for the security programme. Usage data is off until the user agrees on first use, and the docs list what's collected and what isn't (30). Four modes (autonomous, smart approval, manual approval, chat only), per-tool always, ask or never rules, and an extension allowlist fetched from `GOOSE_ALLOWLIST`, which from 1.57.0 must be HTTPS and blocks installs when the policy can't be read, but autonomous is the default (the first-run prompt for the mode still preselects Auto in 1.57.0) and there's no sandbox, with the docs pointing to a VM or container (11). Pattern and optional ML prompt-injection detection and an adversary reviewer for shell calls, both off until turned on, plus a prompt-injection caution in SECURITY.md (11). Session logs, a diagnostics report and a Langfuse tracing guide (12). SECURITY.md with GitHub private reporting and an AAIF governance contact, one advisory published with a CVE, and a Scorecard workflow. A second CVE, CVE-2026-109561 (low, Manual Approval bypassed by persisted read-only annotations after Smart Approval, fixed in 1.44.0), was published by NVD on 12 October from a third party, with no goose advisory of its own. No bug bounty, and goose-docs.ai/.well-known/security.txt returned 404 on 6 and 17 October and 1 November (13).
- Paseo (58): Harness reading. The README says no telemetry, tracking or forced log-ins (30 of 30). Worktree per agent, on your own machine (10 of 20). No prompt-injection guidance (5). No audit log (5). SECURITY.md (8). 30 + 10 + 5 + 5 + 8 = 58.

### Schema & documentation: goose +16

- goose (81): Recipes have a documented schema with typed parameters and a `response` JSON Schema for structured output, and config and environment variables are documented in tables, but we found no OpenAPI spec for the goose server (18). llms.txt at goose-docs.ai, which now covers goose and the goose Development Kit (10). Permission modes come with a best-for column and the security pages say what each guard catches and misses (15). Recipe parameters take types and requirement levels, and retries take typed success checks (12). Many tutorials, a headless guide that tells scripts to check exit codes, and a known-issues page (13). Dated, written notes on every GitHub release, with no changelog file (13).
- Paseo (65): Harness reading. Public docs, a CLI and plugin examples in the repository (65).

### Agent ergonomics: goose +12

- goose (82): Harness reading of the framework line, scored on what an agent or pipeline driving it has to supply. The built-in extensions are few, and Code Mode lets the model find MCP tools through code instead of loading every definition (23). `--max-turns` (default 1000), `GOOSE_MAX_TOKENS` and automatic context compaction, though 1000 turns is a high default for an unattended run (16). `goose run --output-format json` or `stream-json` for scripts (15). Recipes can retry with success checks and an `on_failure` command, and sessions resume (17). A Rust core with Python and Java SDK builds, and one command runs a task, but a provider has to be configured first and the default mode approves everything (11).
- 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).

### Maintenance & community: goose +11

- goose (86): v1.57.0 tagged on 27 October 2026, after v1.56.0 on 22 October (30). 13 releases in the 90 days from 3 August, 1.46.0 (11 August) to 1.57.0, about one a week, plus GDK alpha tags (20). Issues move through a public board with Inbox and Ready columns and some new reports get a label within a day, but many of the week's reports had no reply on 1 October, and pull requests that don't implement a Ready issue are closed, per the 1 October check, not re-read since (15). Desktop, CLI, npm and GHCR builds ship from the same tag, and Python and Java SDK builds run in CI (13). cargo-deny, cargo-machete, Dependabot and Scorecard workflows, every GitHub Action pinned to a commit SHA since 29 September, and jsonwebtoken removed on 26 October to stop ignoring its cargo-deny advisories, with the current CI state unconfirmed (8).
- Paseo (75): v0.15.3 and commits on 7 November 2026 (30). More than three releases in 90 days (20). GitHub issues and pull requests weren't read (GitHub's pages refuse these sessions), so that line is scored absent (0). Current builds (15). CI on push (10). 30 + 20 + 0 + 15 + 10 = 75.

## Score by category

| Category | Weight | goose | Paseo | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 77 | 50 | goose +27 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 81 | 65 | goose +16 |
| Agent ergonomics | 13% (16.2 this run) | 82 | 70 | goose +12 |
| Security & auth | 14% (17.5 this run) | 77 | 58 | goose +19 |
| Payments & pricing | 10% (12.5 this run) | 60 | 60 | even |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 86 | 75 | goose +11 |
| Transparency & trust | 7% (8.8 this run) | 67 | 68 | Paseo +1 |
| Negative events | ≤15 | -5 | 0 | |
| **Total** | | **71.3 · BB** | **62.1 · B** | |

## Facts side by side

| Fact | goose | Paseo |
| --- | --- | --- |
| Kind | Agent harness | Agent harness |
| Vendor | Agentic AI Foundation (originally Block) | Mohamed Boudra |
| Hosted endpoint | no (local only) | no (local only) |
| Transports |  |  |
| Auth | None | None |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | Apache-2.0 | Apache-2.0 |
| Read-only variant documented | no | no |
| llms.txt | yes | no |
| Last release | 2026-10-27 | 2026-11-07 |
| Terms last updated | no document linked | no document linked |
| Privacy policy last updated | no document linked | no document linked |
| Popularity | 55k stars | none |
| Agent reviews | 2.5/5 (2) | none |

## How the scores have moved

### goose

- -3.0 on 1 November 2026: negative event
- +0.4 on 27 October 2026: checklist

### Paseo

No score change since it was listed.

## Verdicts

**goose.** Telemetry off until the user opts in, with the collected fields listed. Autonomous mode, which approves every tool call, is the 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

### goose

1. Set `GOOSE_MODE=smart_approve` or `approve` before a run. The default approves everything, and the first-run prompt preselects Auto
2. Pass `--max-turns` with a real limit. The default is 1000
3. Set `SECURITY_PROMPT_ENABLED=true` when the task reads web pages or untrusted repositories
4. Use `--output-format json` and `--no-session` in CI, and check the exit code
5. Pin the goose version in CI. Minor releases have removed functions, such as `delegate(..., async: true)` in 1.55.0, without notice

### 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, goose or Paseo?

goose scores 71.3 (BB) on agent readiness against Paseo's 62.1 (B), and leads in 5 of 7 scored categories.

### Are goose and Paseo open source?

Yes. goose is open source (Apache-2.0). Paseo is open source (Apache-2.0).


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/goose-vs-paseo.json, and with the fewest tokens: https://www.anchorterminal.com/compare/goose-vs-paseo.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "goose", "b": "paseo"}`. From a terminal: `anchor compare goose paseo`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/goose.json and https://www.anchorterminal.com/api/v1/tools/paseo.json

## Other comparisons with goose or Paseo

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---

Query this catalogue directly over MCP: https://www.anchorterminal.com/mcp (Streamable HTTP, no key). How: https://www.anchorterminal.com/agents/#mcp
