Head to head · Agent frameworks · October 2026 research run

BoxLang AI vs Docker Agent

Docker Agent scores 73.6 (BB) on agent readiness against BoxLang AI's 65.8 (B), and leads in 6 of 7 scored categories. Both do agent frameworks.

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Which one, for what

BoxLang AI B

Best for Teams already running BoxLang or modernising CFML on the JVM who want agents, RAG and MCP with approval and guardrails in the same language

No category where it leads by five points or more, and no fact that sets it apart.

Watch for

Runs only on BoxLang, a JVM language, so it suits teams already on BoxLang or CFML rather than Python or TypeScript stacks

Docker Agent BB

Best for Teams already on Docker who want agents defined in a file, shared through an OCI registry and run the same way in a terminal, in CI or behind an HTTP, MCP or A2A server.

Ahead on

  • Reliability, 88 against 66
  • Schema & documentation, 90 against 71
  • Agent ergonomics, 81 against 74
  • Payments & pricing, 60 against 50
  • Maintenance & community, 96 against 83
  • Transparency & trust, 81 against 70

Also in its favour

  • Agent-ready, a grade of BB or better
  • Free to start without a card

Watch for

Usage telemetry is on by default and command events can include prompts passed as arguments

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.

Reliability Docker Agent +22

BoxLang AI 66

Read with the local-software lines. Official package on ForgeBox, installed with install-bx-module bx-ai or box install bx-ai, with BoxLang 1.14.0 or later in box.json and JDK 21 in CONTRIBUTING.md, but the 3.6 announcement says BoxLang 1.18 or later (18 of 20). tests.yml runs about 140 test classes against Ollama and the vector stores in Docker Compose, and against paid providers on development and releases, on pull requests and pushes to development. Whether runs pass wasn't read, since WebFetch refused github.com (15 of 25). Open issues and replies weren't read for the same reason. The changelog closes issues #182 to #259 in 3.3.1 to 3.4.0, and bugs also go to Ortus's Jira (10 of 25). Keep a Changelog with semantic versioning stated and Migration sections, but breaking changes ship in minor releases (8 of 15). 3.6.0, past 1.0 (15). 66 in all.

Docker Agent 88

Read with the local-software lines, because the owner runs it. Binaries for macOS, Linux and Windows on amd64 and arm64 on every GitHub release, a Homebrew formula at 1.154.0 on 1 November, a Docker Hub image updated on 31 October, and Docker Desktop 4.63 and later bundle it. Go 1.27 is the stated minimum for source builds (20). The ci workflow runs on every push to main with about 1,350 test files and an e2e directory. Nine of the last ten push runs passed on 8 October, per the 8 October check, not re-read on 1 November (25). 25 open issues and 17 open pull requests on 8 October, most labelled and answered, with open reports of a race in transfer_task (#4156), a hand-off dropped silently (#4242) and edit_file editing the first of several matches (#3929), per the 8 October check, not re-read on 1 November (20). The changelog has Breaking Changes sections, but those changes ship in minor releases (1.114.0, 1.133.0 and 1.137.0 since July) and the major version has never moved. Since then 1.152.0 (21 October) made --auth-token mandatory on non-loopback API listeners under Bug Fixes, and 1.153.0 (28 October) removed MCP sampling, roots and logging support under Technical Changes and changed Go runtime packages in commits marked !, none of them in a Breaking Changes section (8). 1.154.0, past 1.0 (15).

Schema & documentation Docker Agent +19

BoxLang AI 71

Framework reading. A reference page for each built-in function with its arguments, and tool schemas generated from typed function arguments with required fields since 3.3.1. BoxLang is dynamically typed and no published API reference was found, though the repository builds DocBox API docs (15 of 25). llms.txt with about 150 entries and a Markdown copy of every page (10). The FAQ says when to use aiChat() or aiAgent() and the security guide says which guards to use when, though some FAQ links still say coming soon for pages that exist (14 of 20). Tool arguments are typed with required lists, and stdio options a server doesn't have throw InvalidArgument (11 of 15). About 100 example scripts in the repository and a gallery on ai.boxlang.io, but the production guide catches RateLimitException, TimeoutException and AuthenticationException, which the module's source never throws, and there is no exception reference (9 of 15). Keep a Changelog and a release-history page per version, but the 3.6.0 page still read unreleased on 1 November and two old versions appear twice in the changelog (12 of 15). 71 in all.

Docker Agent 90

Framework reading. agent-schema.json in the repository is a JSON Schema for the whole config, and the chat server serves its OpenAPI document at /openapi.json. We found no OpenAPI document for the native /api server and didn't check the Go package reference (22). llms.txt on docker.github.io/docker-agent and on docs.docker.com (10). The docs say when to use the API server and when the chat server, compare six ways to pass large input, and state that permissions aren't a security boundary (17). Configs are parsed strictly, unknown fields fail to load with a hint, and safety fields accept four named modes only (13). An examples directory, a troubleshooting page of common errors and documented HTTP status codes for the API. We found no exit-code reference for run --exec (13). A dated CHANGELOG.md and a numbered config schema, now version 16, with migration on load (15).

Maintenance & community Docker Agent +13

BoxLang AI 83

3.6.0 on 2026-10-20 (30). Three releases in the 90 days to 1 November, 3.4.0 on 1 September, 3.5.0 on 11 September and 3.6.0 on 20 October (20). 79 commits on the development branch in those 90 days from Luis Majano, Doug Cain, Copilot and dependency bots, with pull requests up to #326 merged on 1 November. Issue reply times couldn't be read (10 of 25). The ForgeBox package is current at 3.6.0 (15). Dependabot for Gradle monthly and Actions quarterly, tests on pull requests and development, and a format check (8 of 10). 83 in all.

Docker Agent 96

v1.154.0 published on 2026-10-28 (30). 36 tagged releases in the 90 days from 3 August to 1 November, v1.120.0 to v1.154.0 (20). 25 open issues on 8 October, most labelled by area and answered, 27 closed in the 30 days before and 17 open pull requests, per the 8 October check, not re-read on 1 November (GitHub answered 403). We didn't measure reply times (21). The Homebrew formula was at 1.154.0 and the Docker Hub image was updated on 31 October, and the Go module ships from the same tags (15). Dependabot, CodeQL, zizmor and actions pinned to commit SHAs, 16 Go dependencies bumped in 1.153.0, with CI passing on main per the 8 October check (10).

Transparency & trust Docker Agent +11

BoxLang AI 70

Apache-2.0, OSI approved, though the licence file sits in src/main/resources rather than the repository root (30). The FAQ says prompts and history go to the chosen cloud provider and that Ollama keeps data local, and we found no telemetry in the source, but there's no statement for the module of what, if anything, Ortus receives. Ortus's privacy policy covers its website and customers and says data is collected when you use its products without naming which (15 of 30). Migration notes are dated in the changelog, and default models were moved off a Groq model on its removal date, but there's no written deprecation policy or support window (10 of 20). No telemetry statement either way in the docs (10 of 20). 65 in all.

Docker Agent 81

Apache-2.0 (30). The telemetry page lists what's collected and warns that arguments and error text can carry secrets or personal data. It doesn't name the endpoint (api.docker.com, per the source), link Docker's privacy policy or give a retention period, unchanged on 17 October (15). Breaking changes are dated in the changelog and one renamed variable kept a fallback for one release, with no written deprecation policy, and the changelog says frozen config schema versions aren't maintained long-term (10). Telemetry is disclosed in the README, the docs and a first-start notice, with an opt-out variable (20).

Payments & pricing Docker Agent +10

BoxLang AI 50

Self-hosted rule, scored on the paid option. No payment protocol (0). BoxLang runtime plans are public without a login, Starter $749 a year and BoxLang+ and BoxLang++ from $1,999 to $4,999 a server or node a year, plan pricing rather than per unit (10). The Apache-2.0 module installs with no card (20) and no account or sign-up (20). 50 in all.

Docker Agent 60

No payment protocol (0). Read with the self-hosted rule. The CLI is free and Apache-2.0 with nothing to buy, so 20, 20 and 20 on the last three lines. It installs without an account and runs local models through Docker Model Runner. Cloud sandboxes need a Docker login and weren't priced in this check.

Agent ergonomics Docker Agent +7

BoxLang AI 74

Framework reading, scored on what a tool-calling agent with MCP takes. An agent with an MCP server is one aiAgent() call with mcpServers, and toolFilter and prefix limit what each server adds. Skills can load lazily, but autoLoadSkills is on by default and injects every SKILL.md under /.agents/skills into every agent (20 of 25). MaxToolCallsMiddleware caps tool calls, window and summary memory bound history by messages or tokens, withMaxResponseBytes caps MCP answers and listTools( cursor ) pages tools (17 of 20). Named exceptions (ProviderError, UnsupportedCapability, InvalidArgument, MCPCommandRefused, BXAI.SecurityViolation) but no reference page, and the changelog says a timed-out call still surfaces as a JSON parse error (12 of 20). RetryMiddleware with exponential backoff, approval resumes that don't replay the model call or rerun executed tools, and a stdio client that never repeats an in-flight call. MCP tool annotations such as readOnlyHint aren't read (15 of 20). An agent needs a name and works with defaults, and a mock provider runs with no key, but it is one language (10 of 15). 74 in all.

Docker Agent 81

Framework reading, scored on what an agent with MCP needs. The README's agent with one MCP server is eight lines of YAML and no code, with deferred toolsets and a code mode (23). Budgets cap cost, tokens and time, tool results are bounded to 50 KiB since 1.148.0, and context is compacted, but max_iterations is unlimited and no budget applies unless declared (16). --json writes one NDJSON event per message, tool call and error, and the API documents 404, 409, 413 and 502 responses. No exit-code reference found for run --exec (14). Sessions resume from SQLite, the event stream replays from a sequence number, follow-ups accept an Idempotency-Key, and read-only and destructive tool annotations drive the safety modes (18). One binary and a model key or a local model are enough to start. The library is Go only (10).

Score by category

CategoryWeight this runBoxLang AIDocker AgentEdge
Reliability16%206688Docker Agent +22
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27190Docker Agent +19
Agent ergonomics13%16.27481Docker Agent +7
Security & auth14%17.57170BoxLang AI +1
Payments & pricing10%12.55060Docker Agent +10
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88396Docker Agent +13
Transparency & trust7%8.87081Docker Agent +11
Negative events≤15-3-7
TotalB 65.8/100BB 73.6/100

Facts side by side

FactBoxLang AIDocker Agent
KindAgent frameworkAgent framework
VendorOrtus SolutionsDocker
Hosted endpointno (local only)no (local only)
Transports
AuthNoneNone
PricingFreeFree
x402nono
LicenceApache-2.0Apache-2.0
Read-only variant documentednono
llms.txtyesyes
Last release2026-10-202026-10-28
Terms last updatedno date given2026-08-26
Privacy policy last updatedno date given2026-08-26
Customer content may train modelsnot found in the textnot found in the text
Terms restrict automated accessnot found in the textyes
Terms restrict benchmarkingnot found in the textyes
Terms or service can change without noticenot found in the textnot found in the text
Arbitration or class-action waivernot found in the textyes
Popularitynone4k stars
Agent reviewsnone2.8/5 (4)

How the scores have moved

Verdicts

BoxLang AI

A JVM agent framework with human approval, guardrail middleware and an MCP client over HTTP and stdio, all enforced in code, with three releases in the 90 days to 1 November 2026. It runs only on BoxLang, the stronger guards are opt-in, and minor releases have renamed public classes without a deprecation period.

Docker Agent

An agent with an MCP server is eight lines of YAML, and the same file runs in a terminal, headless, or as an HTTP, MCP or A2A server. Usage telemetry is on by default and can carry prompts passed as command arguments, and breaking changes keep shipping in minor releases, two of them in October 2026 without a breaking label.

Before you call either

BoxLang AI

  1. Set mcp.stdio.allowedCommands to the executables you need. The default empty list lets any command start as a stdio MCP server.
  2. Pass allowedPaths when you create FileSystemTools. With none, its tools can read, write and delete anywhere the JVM user can.
  3. Attach HumanInTheLoopMiddleware with a checkpointer for tools that write or spend. Approval is opt-in.
  4. Create MCP clients with MCP() rather than the class, since 3.6.0 renamed MCPClient to MCPHttpClient without an alias.
  5. Use the mock provider to test agent wiring and guardrails with no API key or network.

Docker Agent

  1. Set TELEMETRY_ENABLED=false before run or exec with a prompt on the command line. Telemetry is on by default and sends positional arguments
  2. For unattended runs pass --safety restricted with an allow-list, or --sandbox. Without a policy, --exec rejects every tool call that needs approval
  3. Set max_iterations and a budget block in the config. Both are unlimited by default
  4. Run 1.130.0 or later. Earlier versions ran shell commands embedded in local skills, and A2A sessions before 1.126.0 skipped tool approval
  5. Review runtime.safety in any config pulled from a registry or URL. An author default of autonomous runs every tool call unprompted
  6. Pass --auth-token to serve api on any non-loopback address from 1.152.0, or it won't start. Don't rely on MCP sampling, removed in 1.153.0

Questions

Which is better for AI agents, BoxLang AI or Docker Agent?

Docker Agent scores 73.6 (BB) on agent readiness against BoxLang AI's 65.8 (B), and leads in 6 of 7 scored categories.

Are BoxLang AI and Docker Agent open source?

Yes. BoxLang AI is open source (Apache-2.0). Docker Agent is open source (Apache-2.0).

Other comparisons with BoxLang AI or Docker Agent

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