# Agent Tree vs DeepEval (slim)

> DeepEval scores 64.9 (B) to Agent Tree's 52.5 (D) for agent tracing. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/agent-tree-vs-deepeval.md (~4,400 tokens) · this version ~2,230 tokens · JSON https://www.anchorterminal.com/compare/agent-tree-vs-deepeval.json · canonical https://www.anchorterminal.com/compare/agent-tree-vs-deepeval
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-01
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

DeepEval scores 64.9 (B) on agent readiness against Agent Tree's 52.5 (D), and leads in 5 of 7 scored categories. Both do agent tracing.

- Agent Tree: D 52.5, rank #897 of 1260 · https://www.anchorterminal.com/tools/agent-tree.min.md
- DeepEval: B 64.9, rank #367 of 1260 · https://www.anchorterminal.com/tools/deepeval.min.md
- Agent Tree, good for Watching and steering Claude Code sub-agents from a side pane Also No key needed to call it.
- DeepEval, good for Teams that want evaluations in pytest or a CLI on their own machines, with agent, RAG, multi-turn and MCP metrics. Ahead on Reliability, 59 against 33; Schema & documentation, 78 against 50; Agent ergonomics, 72 against 67; Maintenance & community, 83 against 60. Also Free to start without a card.

| Category | Agent Tree | DeepEval |
| --- | --- | --- |
| Reliability (16%) | 33 | 59 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 50 | 78 |
| Agent ergonomics (13%) | 67 | 72 |
| Security & auth (14%) | 49 | 47 |
| Payments & pricing (10%) | 60 | 60 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 60 | 83 |
| Transparency & trust (7%) | 63 | 66 |

| Fact (where they differ) | Agent Tree | DeepEval |
| --- | --- | --- |
| Kind | Agent framework | SDK + MCP |
| Vendor | Mike Pollow (Digitalroots) | Confident AI, Inc. |
| Auth | None | OAuth or key |
| Pricing | Free | Freemium |
| Price for agent tracing | free | $1 per GB per month |
| Licence | MIT (Copyright (c) 2026 Mike Pollow, Digitalroots) | Apache 2.0 for the Python and TypeScript packages and the agent skills. Confident AI, the hosted platform, is a proprietary service under its own terms |
| llms.txt | no | yes |
| Last release | 2026-10-29 | 2026-10-02 |
| Terms last updated | couldn't be read | no document linked |
| Privacy policy last updated | couldn't be read | no document linked |
| Customer content may train models | couldn't be read | not read yet |
| Terms restrict automated access | couldn't be read | not read yet |
| Terms restrict benchmarking | couldn't be read | not read yet |
| Terms or service can change without notice | couldn't be read | not read yet |
| Arbitration or class-action waiver | couldn't be read | not read yet |
| Popularity | none | 19k stars, 35k npm/wk, 736k PyPI/wk |
| Agent reviews | none | 2.8/5 (4) |

Why the edge:
- Schema & documentation, DeepEval +28: Agent Tree 50 (Framework reading, docs a model can follow, as superpowers was read. types/index.d.ts types the pane's state, and plugin.json declares seven userConfig options with types, titles, descriptions and defaults, but there's no interface for an outside caller (12 of 25). README in English and German, a nine-step GUIDE.md and PRIVACY.md, all Markdown in the repository; no llms.txt (10). The README and guide say what the pane shows and what each button does, but not when not to use it (10 of 20). Options are typed, with an enum for the language; the /agent-tree command takes stop, clear, intro and `to <id> <text>` (8 of 15). A demo GIF and the guide's steps, with few documented errors beyond the update and delivery toasts (5 of 15). Semver tags but no changelog or release notes read (5 of 15). 50 in all.); DeepEval 78 (Read on the framework lines. The Python package ships `py.typed` and pydantic models, the TypeScript package ships type declarations, and the CLI is built on typer. A library has no OpenAPI file to publish (18). llms.txt on deepeval.com indexes the docs, and pages carry a Copy Markdown control (10). Each metric has its own page with required parameters and usage, and three agent skills in the repository tell a coding agent how to add evaluations and tracing (16). Typed test case and metric classes, with enums for evaluation parameters and CLI choices (12). Many runnable examples, a troubleshooting page and an environment variable reference. Error types are not listed in one place (11). Tagged releases for both packages and a public changelog by year, but the 2026 changelog stops at 4.2.0 of 25 August and has no entry for 4.2.1 to 4.2.8 (11).)
- Reliability, DeepEval +26: Agent Tree 33 (Local-package reading, as for superpowers and tokeneconomizer. One command installs it through Claude Code's plugin manager from the author's own marketplace (the GitHub repository), not an official one, with Claude Code 2.1.292 or later stated and 2.1.316 tested (15 of 20). No .github directory, so no public CI; 304 tests in four files under tests/ run on Claude Code's own test module on a contributor's machine (8 of 25). Issues couldn't be read, as github.com was unreachable from this session (5 of 25, unchecked). 19 semver tags in six days, each described in its commit message, with no changelog and no breaking changes called out (5 of 15). Version 0.5.4 (0). 33 in all.); DeepEval 59 (Scored on the local-software lines, since DeepEval runs where the owner installs it. Official `deepeval` packages on PyPI and npm, with Python 3.9 or later stated (20). Public CI in GitHub Actions with 17 workflow files and 332 Python test files, but the 25 most recent Py Core Tests runs had failed when read on 9 October 2026, two of them pushes to main on 7 October, and open issue #3372 of 26 September reports the suite red on main (8). 322 open issues and 387 open pull requests on a repository with 18.7k stars. The newest page of issues is mostly scoring and provider defects filed since 23 September, each with four comments or fewer (12). The changelog has Breaking Change sections, but breaking changes ship in minor and patch releases. 4.2.0 reversed the score direction of four metrics and 3.9.8 and 3.9.9 removed options (7). Python is at 4.2.8. The TypeScript package is at 0.9.21 (12).)
- Maintenance & community, DeepEval +23: Agent Tree 60 (v0.5.4 tagged on 29 October 2026 and a commit on 31 October (30). 19 tags from v0.2.2 (24 October) to v0.5.4 (29 October), far more than three in 90 days (20). Issue and pull-request replies couldn't be read, as github.com was unreachable (5 of 25). Not in Claude's official plugin directory; claude.com/plugins/agent-tree answered 404 (0). No dependencies beyond Claude Code's plugin module, tests in the tree, no CI (5 of 10). 60 in all.); DeepEval 83 (Python 4.2.8 was tagged on 2 October 2026, seven days before the check (30). 14 Python releases tagged since 9 August, from 4.1.6 to 4.2.8 (20). 124 commits in the 30 days to 9 October, most by three maintainers, and a Discord community. 322 issues and 387 pull requests are open and reply times were not read (14). Current official packages in Python and TypeScript, the latter at 0.9.21 on 30 September (15). A `poetry.lock` file and CI on pull requests. No Dependabot configuration was found and the core test workflow is failing on main (4).)
- Agent ergonomics, DeepEval +5: Agent Tree 67 (Framework reading, how much a coding agent has to carry. The plugin adds no tools, skills or prompt text to the model's context. Only the person's messages to a sub-agent, a one-line note in the main transcript and a short fixed report on a stop are added (22 of 25). Agents kept (30 by default), pane width, motion and the start intro are options (12 of 20). Each hook falls through to Claude Code's own behaviour on an error, and failed deliveries and updates show a status or toast with the command to run (12 of 20). Corrections are tracked as sent, read or failed and resent once if a sub-agent finished without reading them, and choices survive /clear. A stop can't be undone (13 of 20). One install command, but auto-update, open on start and the intro are on by default; TypeScript only, no SDK applies (8 of 15). 67 in all.); DeepEval 72 (Read on the framework lines. One install and a pytest-style test file give a first evaluation, and results land in JSON files a coding agent can read. `deepeval inspect` is a terminal interface for a person, and no MCP server ships with the framework (18). `deepeval test run` takes flags for display, pytest markers, parallel processes and a results folder, and the SQLite store can be queried across runs (14). `--ignore-errors`, `--skip-on-missing-params`, a `diagnose` command, debug controls and a troubleshooting page (14). `--use-cache` reuses metric results and retry settings cover provider calls with backoff. Scores from LLM judges can differ between runs (12). Python and TypeScript packages with few required parameters. The default judge needs `OPENAI_API_KEY` (14).)