# BoxLang AI vs LlamaIndex Framework (slim)

> LlamaIndex Framework scores 70 (BB) to BoxLang AI's 65.8 (B) for agent frameworks. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/boxlang-ai-vs-llamaindex.md (~3,550 tokens) · this version ~1,530 tokens · JSON https://www.anchorterminal.com/compare/boxlang-ai-vs-llamaindex.json · canonical https://www.anchorterminal.com/compare/boxlang-ai-vs-llamaindex
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-07
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

LlamaIndex Framework scores 70 (BB) on agent readiness against BoxLang AI's 65.8 (B), and leads in 4 of 7 scored categories. BoxLang AI leads on maintenance & community. Both do agent frameworks.

- BoxLang AI: B 65.8, rank #403 of 1510 · https://www.anchorterminal.com/tools/boxlang-ai.min.md
- LlamaIndex Framework: BB 70, rank #217 of 1510 · https://www.anchorterminal.com/tools/llamaindex.min.md
- BoxLang AI, 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 Ahead on Maintenance & community, 83 against 69.
- LlamaIndex Framework, good for Python teams building retrieval-heavy agents over their own data, with many connectors. Ahead on Schema & documentation, 85 against 71; Payments & pricing, 60 against 50. Also Agent-ready, a grade of BB or better.

| Category | BoxLang AI | LlamaIndex Framework |
| --- | --- | --- |
| Reliability (16%) | 66 | 70 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 71 | 85 |
| Agent ergonomics (13%) | 74 | 73 |
| Security & auth (14%) | 71 | 74 |
| Payments & pricing (10%) | 50 | 60 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 83 | 69 |
| Transparency & trust (7%) | 70 | 67 |

| Fact (where they differ) | BoxLang AI | LlamaIndex Framework |
| --- | --- | --- |
| Vendor | Ortus Solutions | LlamaIndex |
| Licence | Apache-2.0 | MIT |
| Last release | 2026-10-20 | 2026-09-21 |
| Terms last updated | no date given | no document linked |
| Privacy policy last updated | no date given | 2026-08-24 |
| Customer content may train models | not found in the text | not read yet |
| Terms restrict automated access | not found in the text | not read yet |
| Terms restrict benchmarking | not found in the text | not read yet |
| Terms or service can change without notice | not found in the text | not read yet |
| Arbitration or class-action waiver | not found in the text | not read yet |
| Popularity | none | 53k stars, 1.3M PyPI/wk |

Why the edge:
- Schema & documentation, LlamaIndex Framework +14: 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.); LlamaIndex Framework 85 (Framework reading. A typed Python API with a generated reference (22). llms.txt indexing the framework docs, plus a docs search API and an MCP server for the docs (10). The agents guide says what each agent class is for, and the MCP page lists the three ways to use MCP (15). Tools are typed from function signatures and Pydantic models (13). Many examples and notebooks, few documented error types (10). Dated changelog (15). 22+10+15+13+10+15 = 85.)
- Maintenance & community, BoxLang AI +14: 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.); LlamaIndex Framework 69 (llama-index-core 0.14.25 on 21 September 2026, 46 days before this check (20). Two core changelog entries in the 90 days (19 August and 21 September), with integration packages and Workflows (2.24.1 to 2.26.1) publishing in between, so partial (12). 379 open issues and 1,291 open issues and pull requests on 6 November, with 241 issues opened in the 90 days to 3 November. Of the 50 newest, 28 had a comment and 3 were closed; a stale bot and an issue classifier run on the repository (12). Core, Workflows and integrations are current (15). CI and CodeQL passing on main and a stale-package policy that moves unmaintained integrations out of main (10). 20+12+12+15+10 = 69.)
- Payments & pricing, LlamaIndex Framework +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.); LlamaIndex Framework 60 (Self-hosted rule. Free MIT packages with nothing to buy for the framework itself (20 + 20 + 20). No payment protocol (0). LlamaCloud is graded on its own listing. 0+20+20+20 = 60.)