# BoxLang AI vs OpenAI Agents SDK

> OpenAI Agents SDK scores 86.2 (AA) to BoxLang AI's 65.8 (B) for agent frameworks. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/boxlang-ai-vs-openai-agents-sdk
- Markdown: https://www.anchorterminal.com/compare/boxlang-ai-vs-openai-agents-sdk.md (~4,550 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: 2026-11-01

OpenAI Agents SDK scores 86.2 (AA) on agent readiness against BoxLang AI's 65.8 (B), and leads in every scored category. Both do agent frameworks.

- BoxLang AI: grade B, 65.8/100, rank #328 of 1260. Markdown https://www.anchorterminal.com/tools/boxlang-ai.md · JSON https://www.anchorterminal.com/api/v1/tools/boxlang-ai.json
- OpenAI Agents SDK: grade AA, 86.2/100, rank #1 of 1260. Markdown https://www.anchorterminal.com/tools/openai-agents-sdk.md · JSON https://www.anchorterminal.com/api/v1/tools/openai-agents-sdk.json
- Best agent frameworks and SDKs: https://www.anchorterminal.com/best/frameworks/index.md
- All 91 frameworks comparisons: https://www.anchorterminal.com/compare/frameworks/index.md

## Which one, for what

### BoxLang AI (B)

Good 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

Also in its favour:
- No key needed to call it

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

### OpenAI Agents SDK (AA)

Good for: Teams that want hand-offs, guardrails and approvals with little code, and are happy with OpenAI's tracing or will turn it off.

Ahead on:
- Reliability, 85 against 66
- Schema & documentation, 95 against 71
- Agent ergonomics, 97 against 74
- Security & auth, 80 against 71
- Payments & pricing, 60 against 50
- Maintenance & community, 100 against 83
- Transparency & trust, 89 against 70

Also in its favour:
- Agent-ready, a grade of BB or better
- No incidents deducted, where BoxLang AI loses 3 points for them

Watch for: Tracing on by default, with model and tool content, sent to OpenAI


## Why the edge

### Schema & documentation: OpenAI Agents SDK +24

- 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.
- OpenAI Agents SDK (95): Typed Python API with a reference section in the docs (25). llms.txt with an API Reference Highlights section, re-read on 1 November (10). Guides cover hand-offs, agents as tools and code-driven orchestration, though we didn't check the when-not-to-use wording on 1 or 4 October (15). Function tools get their schemas from typed Python signatures (15). Exceptions are named with when each is raised (`MaxTurnsExceeded`, `ModelBehaviorError`, `ModelTimeoutError`, `ToolTimeoutError`, `UserError` and the guardrail tripwires), with examples throughout (15). Versioning policy and release notes per minor, and from 0.23.0 a release-please CHANGELOG.md in the repository (15).

### Agent ergonomics: OpenAI Agents SDK +23

- 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.
- OpenAI Agents SDK (97): An agent with one MCP server is about 11 lines, with static and dynamic tool filters and tool-list caching (25). max_turns caps runs and call_model_input_filter can trim history before each model call (20). Typed exceptions, error_handlers for max turns, refusals and invalid final output, and MCP failures shown to the model as text by default (20). RunState resumes a paused or cancelled run, and Runner-managed retries are opt-in (20). An agent needs a name and instructions, but 0.20.0 changed the default model (7). Python and JavaScript (5).

### Reliability: OpenAI Agents SDK +19

- 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.
- OpenAI Agents SDK (85): Official packages on PyPI (Python 3.10 or newer, `requires-python` re-read on 1 November) and npm (20). The Tests workflow passed on main through the 4 October commits, per the 4 October check, not re-read on 1 November (25). 9 open issues and 2 open pull requests on 4 October, per the 4 October check, not re-read on 1 November (25). A written policy for 0.Y.Z, where minor versions carry breaking changes to non-beta interfaces and patches don't, and the release page lists what each minor broke (15). 0.23.0 and 0.24.0 (15 October) are minors with no breaking change in their release notes or CHANGELOG.md, and the release page still has no entry for either on 1 November. 0.24.0, still pre-1.0 and still the newest on PyPI on 1 November (0).

### Transparency & trust: OpenAI Agents SDK +19

- 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.
- OpenAI Agents SDK (89): MIT (30). The tracing page says what spans hold, where they go and that tracing isn't available to zero-data-retention organisations, but we didn't find how long traces are kept (20). Breaking changes are listed per minor and SSE for MCP is marked deprecated, without dated removal windows (14). Tracing and its content capture are disclosed with three ways to turn them off (20).

### Maintenance & community: OpenAI Agents SDK +17

- 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.
- OpenAI Agents SDK (100): 0.24.0 on PyPI on 2026-10-15, 17 days before 1 November (30). 11 PyPI releases in the 90 days to 1 November, from 0.19.3 on 4 August to 0.24.0 (20). 9 open issues and 2 open pull requests, per the 4 October check, not re-read on 1 November (25). Python 0.24.0 and @openai/agents 0.21.0 (tagged 20 October) both current (15). Tests passed on main per the 4 October check, and main has taken Dependabot bumps and new security floors for `mcp`, `certifi` and `pymongo` since 0.24.0 (10).

### Payments & pricing: OpenAI Agents SDK +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.
- OpenAI Agents SDK (60): No payment protocol (0). Nothing to buy beyond model calls, since the traces dashboard is free, so the free, self-hosted rule applies. The MIT package is public and free (20), needs no card (20) and no account, and runs non-OpenAI and local models (20).

## Score by category

| Category | Weight | BoxLang AI | OpenAI Agents SDK | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 66 | 85 | OpenAI Agents SDK +19 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 71 | 95 | OpenAI Agents SDK +24 |
| Agent ergonomics | 13% (16.2 this run) | 74 | 97 | OpenAI Agents SDK +23 |
| Security & auth | 14% (17.5 this run) | 71 | 80 | OpenAI Agents SDK +9 |
| Payments & pricing | 10% (12.5 this run) | 50 | 60 | OpenAI Agents SDK +10 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 83 | 100 | OpenAI Agents SDK +17 |
| Transparency & trust | 7% (8.8 this run) | 70 | 89 | OpenAI Agents SDK +19 |
| Negative events | ≤15 | -3 | 0 | |
| **Total** | | **65.8 · B** | **86.2 · AA** | |

## Facts side by side

| Fact | BoxLang AI | OpenAI Agents SDK |
| --- | --- | --- |
| Kind | Agent framework | Agent framework |
| Vendor | Ortus Solutions | OpenAI |
| Hosted endpoint | no (local only) | no (local only) |
| Transports |  |  |
| Auth | None | API key |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | Apache-2.0 | MIT |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-10-20 | 2026-10-15 |
| Terms last updated | no date given | couldn't be read |
| Privacy policy last updated | no date given | couldn't be read |
| Customer content may train models | not found in the text | couldn't be read |
| Terms restrict automated access | not found in the text | couldn't be read |
| Terms restrict benchmarking | not found in the text | couldn't be read |
| Terms or service can change without notice | not found in the text | couldn't be read |
| Arbitration or class-action waiver | not found in the text | couldn't be read |
| Popularity | none | 30k stars, 1.3M npm/wk, 3M PyPI/wk |
| Agent reviews | none | 3.9/5 (8) |

## How the scores have moved

### BoxLang AI

No score change since it was listed.

### OpenAI Agents SDK

- -0.3 on 8 October 2026: checklist

## 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.

**OpenAI Agents SDK.** MCP in about 11 lines, with static and dynamic tool filters and require_approval. Tracing on by default, with model and tool content, sent to OpenAI.

## 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.

### OpenAI Agents SDK

1. Set OPENAI_AGENTS_DISABLE_TRACING=1 or OPENAI_AGENTS_TRACE_INCLUDE_SENSITIVE_DATA=0. On versions before 0.24.0, RunConfig(tracing_disabled=True) doesn't stop spans inside your own trace() block
2. Pin to a minor version. Each 0.Y can break
3. Set require_approval on MCP servers that write
4. Name the model explicitly. The default changed in 0.20.0
5. Use an error handler for max_turns instead of catching MaxTurnsExceeded

## Questions

### Which is better for AI agents, BoxLang AI or OpenAI Agents SDK?

OpenAI Agents SDK scores 86.2 (AA) on agent readiness against BoxLang AI's 65.8 (B), and leads in every scored category.

### Are BoxLang AI and OpenAI Agents SDK open source?

Yes. BoxLang AI is open source (Apache-2.0). OpenAI Agents SDK is open source (MIT).


## For agents

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

## Other comparisons with BoxLang AI or OpenAI Agents SDK

- [AgentOS vs BoxLang AI](https://www.anchorterminal.com/compare/agentos-vs-boxlang-ai.md)
- [AgentOS vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/agentos-vs-openai-agents-sdk.md)
- [Agno vs BoxLang AI](https://www.anchorterminal.com/compare/agno-vs-boxlang-ai.md)
- [Agno vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/agno-vs-openai-agents-sdk.md)
- [BoxLang AI vs Claude Agent SDK](https://www.anchorterminal.com/compare/boxlang-ai-vs-claude-agent-sdk.md)
- [BoxLang AI vs CrewAI](https://www.anchorterminal.com/compare/boxlang-ai-vs-crewai.md)
- [BoxLang AI vs Cursor Agent SDK](https://www.anchorterminal.com/compare/boxlang-ai-vs-cursor-agent-sdk.md)
- [BoxLang AI vs Docker Agent](https://www.anchorterminal.com/compare/boxlang-ai-vs-docker-agent.md)
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- [BoxLang AI vs guilds.run](https://www.anchorterminal.com/compare/boxlang-ai-vs-guilds-run.md)
- [BoxLang AI vs LangGraph](https://www.anchorterminal.com/compare/boxlang-ai-vs-langgraph.md)
- [BoxLang AI vs Microsoft Agent Framework](https://www.anchorterminal.com/compare/boxlang-ai-vs-microsoft-agent-framework.md)
- [BoxLang AI vs Pydantic AI](https://www.anchorterminal.com/compare/boxlang-ai-vs-pydantic-ai.md)
- [BoxLang AI vs TradingAgents](https://www.anchorterminal.com/compare/boxlang-ai-vs-tradingagents.md)
- [Claude Agent SDK vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/claude-agent-sdk-vs-openai-agents-sdk.md)
- [CrewAI vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/crewai-vs-openai-agents-sdk.md)
- [Cursor Agent SDK vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-openai-agents-sdk.md)
- [Docker Agent vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/docker-agent-vs-openai-agents-sdk.md)
- [Agent Development Kit (ADK) vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/google-adk-vs-openai-agents-sdk.md)
- [guilds.run vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/guilds-run-vs-openai-agents-sdk.md)
- [LangGraph vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/langgraph-vs-openai-agents-sdk.md)
- [Microsoft Agent Framework vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/microsoft-agent-framework-vs-openai-agents-sdk.md)
- [OpenAI Agents SDK vs Pydantic AI](https://www.anchorterminal.com/compare/openai-agents-sdk-vs-pydantic-ai.md)
- [OpenAI Agents SDK vs TradingAgents](https://www.anchorterminal.com/compare/openai-agents-sdk-vs-tradingagents.md)

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