# Docker Agent vs LlamaIndex Framework (slim)

> Docker Agent scores 73.6 (BB) to LlamaIndex Framework's 70 (BB) for agent frameworks. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/docker-agent-vs-llamaindex.md (~4,600 tokens) · this version ~2,480 tokens · JSON https://www.anchorterminal.com/compare/docker-agent-vs-llamaindex.json · canonical https://www.anchorterminal.com/compare/docker-agent-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
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Docker Agent scores 73.6 (BB) on agent readiness against LlamaIndex Framework's 70 (BB), and leads in 5 of 7 scored categories. Both do agent frameworks.

- Docker Agent: BB 73.6, rank #102 of 1510 · https://www.anchorterminal.com/tools/docker-agent.min.md
- LlamaIndex Framework: BB 70, rank #217 of 1510 · https://www.anchorterminal.com/tools/llamaindex.min.md
- Docker Agent, good 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 70; Schema & documentation, 90 against 85; Agent ergonomics, 81 against 73; Maintenance & community, 96 against 69; Transparency & trust, 81 against 67. Also Free to start without a card.
- LlamaIndex Framework, good for Python teams building retrieval-heavy agents over their own data, with many connectors.

| Category | Docker Agent | LlamaIndex Framework |
| --- | --- | --- |
| Reliability (16%) | 88 | 70 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 90 | 85 |
| Agent ergonomics (13%) | 81 | 73 |
| Security & auth (14%) | 70 | 74 |
| Payments & pricing (10%) | 60 | 60 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 96 | 69 |
| Transparency & trust (7%) | 81 | 67 |

| Fact (where they differ) | Docker Agent | LlamaIndex Framework |
| --- | --- | --- |
| Vendor | Docker | LlamaIndex |
| Licence | Apache-2.0 | MIT |
| Last release | 2026-10-28 | 2026-09-21 |
| Terms last updated | 2026-08-26 | no document linked |
| Privacy policy last updated | 2026-08-26 | 2026-08-24 |
| Customer content may train models | not found in the text | not read yet |
| Terms restrict automated access | yes | not read yet |
| Terms restrict benchmarking | yes | not read yet |
| Terms or service can change without notice | not found in the text | not read yet |
| Arbitration or class-action waiver | yes | not read yet |
| Popularity | 4k stars | 53k stars, 1.3M PyPI/wk |
| Agent reviews | 2.8/5 (4) | none |

Why the edge:
- Maintenance & community, Docker Agent +27: 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).); 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.)
- Reliability, Docker Agent +18: 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).); LlamaIndex Framework 70 (Local-package reading. Official PyPI packages with Python 3.10 to below 4.0 (20). Public unit-test, type-check, lint, coverage and CodeQL workflows, with the type-check, lint and CodeQL runs on main passing on 3 November (25). 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). A dated, generated changelog per package, but core is 0.x and minors such as 0.13 and 0.14 carried breaking changes (8). Core isn't 1.0; Workflows is at 2.x, so partial (5). 20+25+12+8+5 = 70.)
- Transparency & trust, Docker Agent +14: 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).); LlamaIndex Framework 67 (MIT (30). The library stores nothing itself; OpenAI is the default provider unless changed, which the docs show (20). A stale-package policy and removals noted in the changelog, such as deprecated IPEX integrations removed in 0.14.25, without dated notice (10). No telemetry, though no page states it (12). 30+20+10+12 = 72.)
- Agent ergonomics, Docker Agent +8: 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).); LlamaIndex Framework 73 (Framework reading. MCP tools through a separate llama-index-tools-mcp package, with allowed tools selectable (18). Memory token limits, iteration caps and streaming events (16). Tool errors returned to the agent, with few typed errors (12). Workflow context serialises and resumes, and the DBOS package makes runs durable (16). Few required parameters, but OpenAI is the silent default for LLM and embeddings, Python here with a separate TypeScript edition (11). 18+16+12+16+11 = 73.)
- Schema & documentation, Docker Agent +5: 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).); 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.)