{ "data": { "a": { "slug": "docker-agent", "name": "Docker Agent", "vendor": "Docker", "vendorUrl": "https://docker.github.io/docker-agent/", "kind": "framework", "category": "frameworks", "summary": "Docker's open-source runtime for building and running AI agents from YAML or HCL files, formerly cagent. It runs as a `docker agent` CLI plugin with a terminal UI, headless mode, HTTP, MCP and A2A servers, and a Go library.", "url": "https://www.anchorterminal.com/tools/docker-agent", "markdownUrl": "https://www.anchorterminal.com/tools/docker-agent.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/docker-agent.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/docker-agent.json", "dns": "docker-agent.grade.anchorterminal.com", "repo": "https://github.com/docker/docker-agent", "license": "Apache-2.0", "transports": [], "packages": [ { "registry": "oci", "name": "docker/docker-agent" }, { "registry": "go", "name": "github.com/docker/docker-agent" } ], "auth": "none", "authNotes": "No account of its own. Model keys come from provider environment variables, `--env-from-file`, an account login or Docker Model Runner for local models. The servers it starts take an optional Bearer token (`--auth-token`), which HTTP MCP requires on a non-loopback address.", "pricing": "free", "pricingNotes": "Free and Apache-2.0, with nothing to buy for the CLI. You pay your model provider, or nothing with a local model through Docker Model Runner. Cloud sandboxes need a Docker login and weren't priced in this check.", "priceSummary": "Free · OSS", "where": "library", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs or the README (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 4029, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-08" }, "docsUrl": "https://docker.github.io/docker-agent/", "llmsTxt": "https://docker.github.io/docker-agent/llms.txt", "capabilities": [ "agent.framework", "agent.multi-agent", "agent.mcp-client", "agent.durable" ], "tags": [ "framework", "open-source", "go", "local", "free", "no-card", "llms-txt", "docker" ], "lastRelease": "2026-10-28", "graded": true, "anchor": { "graded": true, "score": 73.6, "grade": "BB", "agentReady": true, "rank": 102, "ranked": true, "rankOf": 1510, "categoryRank": 8, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 81, "maintenance": 96, "payments": 60, "reliability": 88, "schema": 90, "security": 70, "transparency": 81 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-01" }, "negative": -7, "negativeNotes": [ "2026-09-01. GHSA-8f6v-26r8-3r4h (high). `read_skill` was treated as read-only and could be auto-approved, yet it ran shell commands embedded in local skill files, so opening a repository that ships skills could run commands without a prompt. Affects 1.32.5 up to 1.130.0. Fixed in 1.130.0 and published, inside six months, -2. https://github.com/docker/docker-agent/security/advisories/GHSA-8f6v-26r8-3r4h", "2026-08-20. GHSA-f2g7-cxrq-x54m (high). `docker agent serve a2a` created unattended sessions with tool approval disabled, so a client that could reach the endpoint could run tools without approval. The listener binds to loopback by default. Affects 1.8.2 up to 1.126.0. Fixed in 1.126.0 and published, inside six months, -2. https://github.com/docker/docker-agent/security/advisories/GHSA-f2g7-cxrq-x54m", "2026-10-21 and 2026-10-28. Breaking changes in minor releases without notice. 1.152.0 made `--auth-token` mandatory on non-loopback TCP listeners, so `serve api --listen 0.0.0.0:8080`, the command the API server docs showed without a token before that release, now refuses to start, and the change is listed under Bug Fixes. 1.153.0 removed MCP sampling, roots and logging support under Technical Changes, with no earlier deprecation notice in the changelog. Neither has a Breaking Changes section. The same pattern ran through 1.137.0 (9 September), which removed the `session_plan` toolset in a labelled Breaking Changes section with no deprecation notice found, read only through the semver line on 17 October. The auth change closes a DNS-rebinding and CSRF path and the error says what to set, so the floor, one term for the pattern across these releases, -3. https://github.com/docker/docker-agent/blob/main/CHANGELOG.md" ], "verdict": "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.", "bestFor": "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.", "strengths": [ "An agent with one MCP server is eight lines of YAML, with a published JSON Schema for the config", "Four safety modes, allow, ask and deny rules, and a `--sandbox` flag that runs the agent in a Docker Sandboxes VM", "Headless `run --exec` with NDJSON events, structured output, and budgets for cost, tokens and time", "The same config runs as an HTTP API, an OpenAI-compatible chat server, an MCP server or an A2A server", "v1.154.0 on 28 October 2026, with 36 tagged releases in the 90 days to 1 November and a dated changelog" ], "weaknesses": [ "Usage telemetry is on by default and command events can include prompts passed as arguments", "Two high-severity advisories in 2026, each letting tools or shell commands run without approval, both fixed", "Breaking changes ship in minor releases, three labelled between July and September 2026 and two unlabelled in October (1.152.0, 1.153.0)", "`max_iterations` is unlimited and no budget is set unless the config declares one", "The `--listen` control plane has no built-in authentication (loopback only), and A2A support is described as early" ], "agentNotes": [ "Set `TELEMETRY_ENABLED=false` before `run` or `exec` with a prompt on the command line. Telemetry is on by default and sends positional arguments", "For unattended runs pass `--safety restricted` with an allow-list, or `--sandbox`. Without a policy, `--exec` rejects every tool call that needs approval", "Set `max_iterations` and a `budget` block in the config. Both are unlimited by default", "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", "Review `runtime.safety` in any config pulled from a registry or URL. An author default of `autonomous` runs every tool call unprompted", "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" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 4, "avgRating": 2.8, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "BB", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 73.6 } ], "editorialScores": { "ergonomics": 81, "maintenance": 96, "payments": 60, "reliability": 88, "schema": 90, "security": 70, "transparency": 75 }, "provenanceScore": 86, "checked": { "categories": { "ergonomics": "2026-11-01", "maintenance": "2026-11-01", "payments": "2026-11-01", "reliability": "2026-11-01", "schema": "2026-11-01", "security": "2026-11-01", "transparency": "2026-11-01" }, "last": "2026-11-01", "lastMoved": "2026-11-01", "oldest": "2026-11-01", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "brew install docker-agent # bundled with Docker Desktop 4.63 and later as `docker agent`", "claudeCode": "claude mcp add --transport stdio myagent --env OPENAI_API_KEY=$OPENAI_API_KEY --env ANTHROPIC_API_KEY=$ANTHROPIC_API_KEY -- docker agent serve mcp myorg/agent:tag --working-dir $(pwd)", "headless": { "command": "docker agent run --exec --safety restricted agent.yaml --json \"$TASK\"", "env": { "OPENAI_API_KEY": "\u003ckey\u003e", "TELEMETRY_ENABLED": "false" } } }, "letme": { "capability": "https://letme.dev/agent.framework", "tool": "https://letme.dev/docker-agent" }, "sameCompany": [ "docker-model-runner" ], "area": "frameworks", "provenance": { "legalEntity": "Docker, Inc.", "domain": "docker.com", "domainRegistered": "1995-01-25", "endpointOnVendorDomain": null, "terms": "https://www.docker.com/legal/docker-terms-use/", "privacy": "https://www.docker.com/legal/privacy/", "statusPage": "", "changelog": "https://github.com/docker/docker-agent/blob/main/CHANGELOG.md", "securityTxt": "valid", "checked": "2026-11-01", "notes": [ "The repository is under GitHub's docker organisation and SECURITY.md sends reports to security@docker.com. Docker's privacy policy names Docker, Inc.", "www.docker.com/.well-known/security.txt gives security@docker.com, a policy URL and an expiry of 1 January 2030, re-read on 1 November 2026.", "Main-branch docs are on docker.github.io/docker-agent and the stable docs on docs.docker.com/ai/docker-agent. By 17 October 2026 the telemetry and OpenTelemetry pages had moved from the community section to the configuration section, and the old paths still load.", "Docker's general terms and privacy policy are listed. Neither the README nor the telemetry page says which terms govern the open-source CLI.", "No status page is listed because the software runs on the owner's machine. Usage telemetry goes to api.docker.com/events/v1/track per pkg/telemetry/client.go.", "RDAP for docker.com gives a registration date of 1995-01-25." ], "score": 86 }, "requirements": { "setupChecked": true, "complianceChecked": true, "card": "unknown", "freeTier": true, "minutes": 5, "credential": "api-key", "hosting": [ "self-hosted" ], "euResidency": "unknown", "trainsOnData": "no", "zeroRetention": "unknown", "selfHost": "yes" }, "pageJsonUrl": "https://www.anchorterminal.com/tools/docker-agent.json", "live": { "slug": "docker-agent", "versions": [ { "registry": "github", "name": "docker/docker-agent", "version": "v1.157.2", "released": "2026-11-05", "seenAt": "2026-11-06T23:21:45.59514179Z" } ], "githubStars": 4662, "securityTxt": { "url": "https://docker.com/.well-known/security.txt", "state": "valid", "expires": "2030-01-01T05:00:00.000Z", "checkedAt": "2026-11-07T16:00:06.40302104Z" }, "llmsTxt": { "url": "https://docker.github.io/docker-agent/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-07T15:32:18.14013237Z" }, "domain": { "domain": "docker.com", "registered": "1995-01-25", "source": "https://rdap.verisign.com/com/v1/domain/docker.com", "checkedAt": "2026-11-01T14:14:21.327350802Z" }, "pages": [ { "url": "https://raw.githubusercontent.com/docker/docker-agent/main/CHANGELOG.md", "kind": "deprecations", "status": 304, "checkedAt": "2026-11-07T14:20:37.941057894Z", "changedAt": "2026-11-06T13:41:57.676287987Z", "fingerprint": "3ffc7b576b1b" }, { "url": "https://www.docker.com/legal/privacy/", "kind": "privacy", "status": 200, "checkedAt": "2026-11-07T14:28:02.241968202Z", "changedAt": "2026-10-09T18:49:41.704132769Z", "fingerprint": "8e523e7e5859" }, { "url": "https://www.docker.com/legal/docker-terms-use/", "kind": "terms", "status": 200, "checkedAt": "2026-11-07T14:28:00.267054946Z", "changedAt": "2026-10-30T05:54:50.28672223Z", "fingerprint": "e68baa3d8d9c" } ], "github": { "repo": "docker/docker-agent", "checkedAt": "2026-11-02T08:44:40.290365909Z", "stars": 4646, "archived": false, "issuesEnabled": true, "pushedAt": "2026-11-02T08:37:52Z", "openIssues": 37, "openPRs": 35, "issuesOpened90d": 153, "issuesClosed90d": 124, "prsMerged90d": 658, "ci": { "branch": "main", "runs": 50, "success": 46, "failure": 4, "other": 0, "latest": "success", "latestAt": "2026-11-02T08:23:20Z" }, "advisories": [ { "ghsa": "GHSA-8f6v-26r8-3r4h", "severity": "high", "published": "2026-09-01T16:46:23Z" }, { "ghsa": "GHSA-f2g7-cxrq-x54m", "severity": "high", "published": "2026-08-20T13:03:08Z" } ], "replies": { "sampled": 25, "unanswered": 11, "medianDays": 0.9 } }, "updatedAt": "2026-11-07T16:00:06.40302104Z" } }, "answer": "Docker Agent scores 73.6 (BB) on agent readiness against LlamaIndex Framework's 70 (BB), and leads in 5 of 7 scored categories.", "b": { "slug": "llamaindex", "name": "LlamaIndex Framework", "vendor": "LlamaIndex", "vendorUrl": "https://developers.llamaindex.ai/python/framework/", "kind": "framework", "category": "frameworks", "summary": "The LlamaIndex Framework is LlamaIndex's open-source Python toolkit for retrieval and agents, with FunctionAgent, ReActAgent and CodeActAgent, multi-agent AgentWorkflow, event-driven Workflows, MCP tools and hundreds of integration packages.", "url": "https://www.anchorterminal.com/tools/llamaindex", "markdownUrl": "https://www.anchorterminal.com/tools/llamaindex.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/llamaindex.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/llamaindex.json", "dns": "llamaindex.grade.anchorterminal.com", "repo": "https://github.com/run-llama/llama_index", "license": "MIT", "transports": [], "packages": [ { "registry": "pypi", "name": "llama-index" }, { "registry": "pypi", "name": "llama-index-core" }, { "registry": "pypi", "name": "llama-index-workflows" }, { "registry": "pypi", "name": "llama-index-tools-mcp" } ], "auth": "none", "authNotes": "A library with no credentials of its own. The default LLM and embeddings are OpenAI's and read an OpenAI key; integrations take their own keys.", "pricing": "free", "pricingNotes": "Free and open source under MIT. You pay for model calls. LlamaParse and LlamaCloud are separate paid services with their own Anchor Terminal listing.", "priceSummary": "Free · OSS", "where": "library", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the framework docs or the repository (checked 2026-11-06).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 52833, "npmWeekly": null, "pypiWeekly": 1260039, "asOf": "2026-11-06" }, "docsUrl": "https://developers.llamaindex.ai/python/framework/", "llmsTxt": "https://developers.llamaindex.ai/llms.txt", "capabilities": [ "agent.framework", "agent.multi-agent", "agent.durable", "agent.mcp-client" ], "tags": [ "framework", "python", "open-source", "llms-txt", "mcp", "rag", "workflows" ], "lastRelease": "2026-09-21", "graded": true, "anchor": { "graded": true, "score": 70, "grade": "BB", "agentReady": true, "rank": 217, "ranked": true, "rankOf": 1510, "categoryRank": 11, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 73, "maintenance": 69, "payments": 60, "reliability": 70, "schema": 85, "security": 74, "transparency": 67 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-06" }, "negative": -2, "negativeNotes": [ "2025-11 to 2026-11. Advisories for llama-index-core first published in the last 12 months are GHSA-488g-hw5f-x29p (uncontrolled resource consumption, 2 February 2026, moderate, fixed in 0.12.41) and the PYSEC re-publications in 2026 of 2025 path-traversal, denial-of-service and temporary-file issues fixed by 0.13.0. Fixed and documented, so 2 points. https://osv.dev/vulnerability/GHSA-488g-hw5f-x29p" ], "verdict": "An MIT Python framework for retrieval and agents, with three agent types, multi-agent AgentWorkflow, resumable event-driven Workflows, MCP tools and a huntr bug bounty, and no telemetry found. Core is still 0.14 with breaking minors, OpenAI is the silent default, and approval and injection handling are left to the application.", "bestFor": "Python teams building retrieval-heavy agents over their own data, with many connectors.", "strengths": [ "FunctionAgent, ReActAgent, CodeActAgent and multi-agent AgentWorkflow over one Workflows engine", "Workflow context serialises and resumes, with a DBOS package for durable runs", "Hundreds of integration packages for models, vector stores and data loaders", "No telemetry found in llama-index-core", "huntr bug bounty and public advisories with fixed versions" ], "weaknesses": [ "Core is 0.14.x, and minor versions such as 0.13 and 0.14 carried breaking changes", "OpenAI is the default LLM and embedding provider unless Settings is changed", "No per-tool approval primitive; the threat model leaves input validation to the application", "Several 2025 path-traversal and denial-of-service advisories in core and readers" ], "agentNotes": [ "Set Settings.llm and Settings.embed_model explicitly so calls don't go to OpenAI by default", "Install llama-index-tools-mcp for MCP tools and pass only the allowed tools the task needs", "Use Workflow human-in-the-loop events before tools that write or send", "Pin llama-index-core to a minor version, since minors have broken APIs", "Upgrade llama-index-core to 0.13.0 or later to clear the 2025 advisories" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "BB", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 70 } ], "editorialScores": { "ergonomics": 73, "maintenance": 69, "payments": 60, "reliability": 70, "schema": 85, "security": 74, "transparency": 72 }, "provenanceScore": 61, "checked": { "categories": { "ergonomics": "2026-11-06", "maintenance": "2026-11-06", "payments": "2026-11-06", "reliability": "2026-11-06", "schema": "2026-11-06", "security": "2026-11-06", "transparency": "2026-11-06" }, "last": "2026-11-06", "oldest": "2026-11-06", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "pip install llama-index # MCP tools: pip install llama-index-tools-mcp" }, "letme": { "capability": "https://letme.dev/agent.framework", "tool": "https://letme.dev/llamaindex" }, "sameCompany": [ "llamaparse" ], "area": "frameworks", "provenance": { "legalEntity": "LlamaIndex, Inc.", "domain": "llamaindex.ai", "domainRegistered": "", "endpointOnVendorDomain": null, "terms": "", "privacy": "https://www.llamaindex.ai/privacy-policy", "statusPage": "", "changelog": "https://github.com/run-llama/llama_index/blob/main/CHANGELOG.md", "securityTxt": "unknown", "checked": "2026-11-06", "notes": [ "The framework is MIT-licensed; the company facts follow the LlamaParse listing.", "developers.llamaindex.ai/robots.txt allows all crawlers.", "The privacy policy link is the company's; the library collects nothing itself. Neither the terms nor the privacy policy was re-read for this listing." ], "score": 61 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/llamaindex.json", "live": { "slug": "llamaindex", "versions": [ { "registry": "github", "name": "run-llama/llama_index", "version": "v0.14.25", "released": "2026-09-21", "seenAt": "2026-11-06T23:41:01.613169751Z" }, { "registry": "pypi", "name": "llama-index", "version": "0.14.25", "released": "2026-09-21", "seenAt": "2026-11-06T23:40:55.516520624Z" }, { "registry": "pypi", "name": "llama-index-core", "version": "0.14.25", "released": "2026-09-21", "seenAt": "2026-11-06T23:40:55.720658841Z" }, { "registry": "pypi", "name": "llama-index-tools-mcp", "version": "0.6.0", "released": "2026-08-31", "seenAt": "2026-11-06T23:41:00.102033357Z" }, { "registry": "pypi", "name": "llama-index-workflows", "version": "2.26.1", "released": "2026-10-21", "seenAt": "2026-11-06T23:40:57.534551463Z" } ], "githubStars": 52835, "pypiWeekly": 409969, "securityTxt": { "url": "https://llamaindex.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-07T16:01:24.67649536Z" }, "llmsTxt": { "url": "https://developers.llamaindex.ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-07T15:32:53.290758373Z" }, "pages": [ { "url": "https://raw.githubusercontent.com/run-llama/llama_index/main/CHANGELOG.md", "kind": "changelog", "status": 200, "checkedAt": "2026-11-07T14:23:19.050779794Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "51de27bb70e4" }, { "url": "https://www.llamaindex.ai/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-11-07T14:30:58.312656283Z", "changedAt": "2026-11-06T13:51:36.031111139Z", "fingerprint": "22f247245013" } ], "updatedAt": "2026-11-07T16:01:24.67649536Z" } }, "edges": [ { "by": 27, "category": "maintenance", "leads": "docker-agent", "name": "Maintenance \u0026 community", "reasons": { "a": "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).", "b": "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." }, "scores": { "a": 96, "b": 69 } }, { "by": 18, "category": "reliability", "leads": "docker-agent", "name": "Reliability", "reasons": { "a": "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).", "b": "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." }, "scores": { "a": 88, "b": 70 } }, { "by": 14, "category": "transparency", "leads": "docker-agent", "name": "Transparency \u0026 trust", "reasons": { "a": "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).", "b": "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." }, "scores": { "a": 81, "b": 67 } }, { "by": 8, "category": "ergonomics", "leads": "docker-agent", "name": "Agent ergonomics", "reasons": { "a": "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).", "b": "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." }, "scores": { "a": 81, "b": 73 } }, { "by": 5, "category": "schema", "leads": "docker-agent", "name": "Schema \u0026 documentation", "reasons": { "a": "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).", "b": "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." }, "scores": { "a": 90, "b": 85 } } ], "facts": [ { "a": "Agent framework", "b": "Agent framework", "name": "Kind" }, { "a": "Docker", "b": "LlamaIndex", "name": "Vendor" }, { "a": "no (local only)", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "", "b": "", "name": "Transports" }, { "a": "None", "b": "None", "name": "Auth" }, { "a": "Free", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0", "b": "MIT", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-28", "b": "2026-09-21", "name": "Last release" }, { "a": "2026-08-26", "b": "no document linked", "name": "Terms last updated" }, { "a": "2026-08-26", "b": "2026-08-24", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "not read yet", "name": "Customer content may train models" }, { "a": "yes", "b": "not read yet", "name": "Terms restrict automated access" }, { "a": "yes", "b": "not read yet", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "not read yet", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "not read yet", "name": "Arbitration or class-action waiver" }, { "a": "4k stars", "b": "53k stars, 1.3M PyPI/wk", "name": "Popularity" }, { "a": "2.8/5 (4)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Docker Agent scores 73.6 (BB) on agent readiness against LlamaIndex Framework's 70 (BB), and leads in 5 of 7 scored categories.", "question": "Which is better for AI agents, Docker Agent or LlamaIndex Framework?" }, { "answer": "Yes. Docker Agent is open source (Apache-2.0). LlamaIndex Framework is open source (MIT).", "question": "Are Docker Agent and LlamaIndex Framework open source?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 88 against 70", "Schema \u0026 documentation, 90 against 85", "Agent ergonomics, 81 against 73", "Maintenance \u0026 community, 96 against 69", "Transparency \u0026 trust, 81 against 67" ], "also": [ "Free to start without a card" ], "goodFor": "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.", "slug": "docker-agent", "watchFor": "Usage telemetry is on by default and command events can include prompts passed as arguments" }, { "aheadOn": null, "also": null, "goodFor": "Python teams building retrieval-heavy agents over their own data, with many connectors.", "slug": "llamaindex", "watchFor": "Core is 0.14.x, and minor versions such as 0.13 and 0.14 carried breaking changes" } ], "history": { "docker-agent": [ { "causes": [ "event" ], "date": "2026-11-01", "delta": -3, "from": 76.6, "fromGrade": "BB", "to": 73.6, "toGrade": "BB" }, { "causes": [ "method" ], "date": "2026-10-27", "delta": 0.1, "from": 76.5, "fromGrade": "BB", "to": 76.6, "toGrade": "BB" } ], "llamaindex": null }, "job": { "capability": "agent.framework", "name": "Agent frameworks" }, "others": [ { "json": "https://www.anchorterminal.com/compare/agentos-vs-docker-agent.json", "title": "AgentOS vs Docker Agent", "url": "https://www.anchorterminal.com/compare/agentos-vs-docker-agent" }, { "json": "https://www.anchorterminal.com/compare/agentos-vs-llamaindex.json", "title": "AgentOS vs LlamaIndex Framework", "url": "https://www.anchorterminal.com/compare/agentos-vs-llamaindex" }, { "json": "https://www.anchorterminal.com/compare/agno-vs-docker-agent.json", "title": "Agno vs Docker Agent", "url": "https://www.anchorterminal.com/compare/agno-vs-docker-agent" }, { "json": "https://www.anchorterminal.com/compare/agno-vs-llamaindex.json", "title": "Agno vs LlamaIndex Framework", "url": "https://www.anchorterminal.com/compare/agno-vs-llamaindex" }, { "json": "https://www.anchorterminal.com/compare/boxlang-ai-vs-docker-agent.json", "title": "BoxLang AI vs Docker Agent", "url": "https://www.anchorterminal.com/compare/boxlang-ai-vs-docker-agent" }, { "json": "https://www.anchorterminal.com/compare/boxlang-ai-vs-llamaindex.json", "title": "BoxLang AI vs LlamaIndex Framework", "url": "https://www.anchorterminal.com/compare/boxlang-ai-vs-llamaindex" }, { "json": "https://www.anchorterminal.com/compare/claude-agent-sdk-vs-docker-agent.json", "title": "Claude Agent SDK vs Docker Agent", "url": "https://www.anchorterminal.com/compare/claude-agent-sdk-vs-docker-agent" }, { "json": "https://www.anchorterminal.com/compare/claude-agent-sdk-vs-llamaindex.json", "title": "Claude Agent SDK vs LlamaIndex Framework", "url": "https://www.anchorterminal.com/compare/claude-agent-sdk-vs-llamaindex" }, { "json": "https://www.anchorterminal.com/compare/crewai-vs-docker-agent.json", "title": "CrewAI vs Docker Agent", "url": "https://www.anchorterminal.com/compare/crewai-vs-docker-agent" }, { "json": "https://www.anchorterminal.com/compare/crewai-vs-llamaindex.json", "title": "CrewAI vs LlamaIndex Framework", "url": "https://www.anchorterminal.com/compare/crewai-vs-llamaindex" }, { "json": "https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-docker-agent.json", "title": "Cursor Agent SDK vs Docker Agent", "url": "https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-docker-agent" }, { "json": "https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-llamaindex.json", "title": "Cursor Agent SDK vs LlamaIndex Framework", "url": "https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-llamaindex" }, { "json": "https://www.anchorterminal.com/compare/docker-agent-vs-google-adk.json", "title": "Docker Agent vs Agent Development Kit (ADK)", "url": "https://www.anchorterminal.com/compare/docker-agent-vs-google-adk" }, { "json": "https://www.anchorterminal.com/compare/docker-agent-vs-guilds-run.json", "title": "Docker Agent vs guilds.run", "url": "https://www.anchorterminal.com/compare/docker-agent-vs-guilds-run" }, { "json": "https://www.anchorterminal.com/compare/docker-agent-vs-langgraph.json", "title": "Docker Agent vs LangGraph", "url": "https://www.anchorterminal.com/compare/docker-agent-vs-langgraph" }, { "json": "https://www.anchorterminal.com/compare/docker-agent-vs-mastra.json", "title": "Docker Agent vs Mastra", "url": "https://www.anchorterminal.com/compare/docker-agent-vs-mastra" }, { "json": "https://www.anchorterminal.com/compare/docker-agent-vs-microsoft-agent-framework.json", "title": "Docker Agent vs Microsoft Agent Framework", "url": "https://www.anchorterminal.com/compare/docker-agent-vs-microsoft-agent-framework" }, { "json": "https://www.anchorterminal.com/compare/docker-agent-vs-openai-agents-sdk.json", "title": "Docker Agent vs OpenAI Agents SDK", "url": "https://www.anchorterminal.com/compare/docker-agent-vs-openai-agents-sdk" }, { "json": "https://www.anchorterminal.com/compare/docker-agent-vs-pydantic-ai.json", "title": "Docker Agent vs Pydantic AI", "url": "https://www.anchorterminal.com/compare/docker-agent-vs-pydantic-ai" }, { "json": "https://www.anchorterminal.com/compare/docker-agent-vs-smolagents.json", "title": "Docker Agent vs smolagents", "url": "https://www.anchorterminal.com/compare/docker-agent-vs-smolagents" }, { "json": "https://www.anchorterminal.com/compare/docker-agent-vs-strands-agents.json", "title": "Docker Agent vs Strands Agents", "url": "https://www.anchorterminal.com/compare/docker-agent-vs-strands-agents" }, { "json": "https://www.anchorterminal.com/compare/docker-agent-vs-tradingagents.json", "title": "Docker Agent vs TradingAgents", "url": "https://www.anchorterminal.com/compare/docker-agent-vs-tradingagents" }, { "json": "https://www.anchorterminal.com/compare/docker-agent-vs-vercel-ai-sdk.json", "title": "Docker Agent vs AI SDK", "url": "https://www.anchorterminal.com/compare/docker-agent-vs-vercel-ai-sdk" }, { "json": "https://www.anchorterminal.com/compare/google-adk-vs-llamaindex.json", "title": "Agent Development Kit (ADK) vs LlamaIndex Framework", "url": "https://www.anchorterminal.com/compare/google-adk-vs-llamaindex" }, { "json": "https://www.anchorterminal.com/compare/guilds-run-vs-llamaindex.json", "title": "guilds.run vs LlamaIndex Framework", "url": "https://www.anchorterminal.com/compare/guilds-run-vs-llamaindex" }, { "json": "https://www.anchorterminal.com/compare/langgraph-vs-llamaindex.json", "title": "LangGraph vs LlamaIndex Framework", "url": "https://www.anchorterminal.com/compare/langgraph-vs-llamaindex" }, { "json": "https://www.anchorterminal.com/compare/llamaindex-vs-mastra.json", "title": "LlamaIndex Framework vs Mastra", "url": "https://www.anchorterminal.com/compare/llamaindex-vs-mastra" }, { "json": "https://www.anchorterminal.com/compare/llamaindex-vs-microsoft-agent-framework.json", "title": "LlamaIndex Framework vs Microsoft Agent Framework", "url": "https://www.anchorterminal.com/compare/llamaindex-vs-microsoft-agent-framework" }, { "json": "https://www.anchorterminal.com/compare/llamaindex-vs-openai-agents-sdk.json", "title": "LlamaIndex Framework vs OpenAI Agents SDK", "url": "https://www.anchorterminal.com/compare/llamaindex-vs-openai-agents-sdk" }, { "json": "https://www.anchorterminal.com/compare/llamaindex-vs-pydantic-ai.json", "title": "LlamaIndex Framework vs Pydantic AI", "url": "https://www.anchorterminal.com/compare/llamaindex-vs-pydantic-ai" }, { "json": "https://www.anchorterminal.com/compare/llamaindex-vs-smolagents.json", "title": "LlamaIndex Framework vs smolagents", "url": "https://www.anchorterminal.com/compare/llamaindex-vs-smolagents" }, { "json": "https://www.anchorterminal.com/compare/llamaindex-vs-strands-agents.json", "title": "LlamaIndex Framework vs Strands Agents", "url": "https://www.anchorterminal.com/compare/llamaindex-vs-strands-agents" }, { "json": "https://www.anchorterminal.com/compare/llamaindex-vs-tradingagents.json", "title": "LlamaIndex Framework vs TradingAgents", "url": "https://www.anchorterminal.com/compare/llamaindex-vs-tradingagents" }, { "json": "https://www.anchorterminal.com/compare/llamaindex-vs-vercel-ai-sdk.json", "title": "LlamaIndex Framework vs AI SDK", "url": "https://www.anchorterminal.com/compare/llamaindex-vs-vercel-ai-sdk" } ], "panel": null, "scores": [ { "by": 18, "docker-agent": 88, "edge": "docker-agent", "key": "reliability", "llamaindex": 70, "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 5, "docker-agent": 90, "edge": "docker-agent", "key": "schema", "llamaindex": 85, "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 8, "docker-agent": 81, "edge": "docker-agent", "key": "ergonomics", "llamaindex": 73, "name": "Agent ergonomics", "weight": 13 }, { "by": 4, "docker-agent": 70, "edge": "llamaindex", "key": "security", "llamaindex": 74, "name": "Security \u0026 auth", "weight": 14 }, { "by": 0, "docker-agent": 60, "edge": "", "key": "payments", "llamaindex": 60, "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 27, "docker-agent": 96, "edge": "docker-agent", "key": "maintenance", "llamaindex": 69, "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 14, "docker-agent": 81, "edge": "docker-agent", "key": "transparency", "llamaindex": 67, "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "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.", "tasks": null, "tutorials": [], "verdicts": { "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.", "llamaindex": "An MIT Python framework for retrieval and agents, with three agent types, multi-agent AgentWorkflow, resumable event-driven Workflows, MCP tools and a huntr bug bounty, and no telemetry found. Core is still 0.14 with breaking minors, OpenAI is the silent default, and approval and injection handling are left to the application." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/docker-agent-vs-llamaindex", "json": "https://www.anchorterminal.com/compare/docker-agent-vs-llamaindex.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/docker-agent-vs-llamaindex.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/docker-agent-vs-llamaindex.min.md" }, "markdown": "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.\n\n- Docker Agent: grade BB, 73.6/100, rank #102 of 1510. Markdown https://www.anchorterminal.com/tools/docker-agent.md · JSON https://www.anchorterminal.com/api/v1/tools/docker-agent.json\n- LlamaIndex Framework: grade BB, 70/100, rank #217 of 1510. Markdown https://www.anchorterminal.com/tools/llamaindex.md · JSON https://www.anchorterminal.com/api/v1/tools/llamaindex.json\n- Best agent frameworks and SDKs: https://www.anchorterminal.com/best/frameworks/index.md\n- All 171 frameworks comparisons: https://www.anchorterminal.com/compare/frameworks/index.md\n\n## Which one, for what\n\n### Docker Agent (BB)\n\nGood 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.\n\nAhead on:\n- Reliability, 88 against 70\n- Schema \u0026 documentation, 90 against 85\n- Agent ergonomics, 81 against 73\n- Maintenance \u0026 community, 96 against 69\n- Transparency \u0026 trust, 81 against 67\n\nAlso in its favour:\n- Free to start without a card\n\nWatch for: Usage telemetry is on by default and command events can include prompts passed as arguments\n\n### LlamaIndex Framework (BB)\n\nGood for: Python teams building retrieval-heavy agents over their own data, with many connectors.\n\nWatch for: Core is 0.14.x, and minor versions such as 0.13 and 0.14 carried breaking changes\n\n\n## Why the edge\n\n### Maintenance \u0026 community: Docker Agent +27\n\n- 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).\n- 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.\n\n### Reliability: Docker Agent +18\n\n- 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).\n- 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.\n\n### Transparency \u0026 trust: Docker Agent +14\n\n- 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).\n- 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.\n\n### Agent ergonomics: Docker Agent +8\n\n- 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).\n- 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.\n\n### Schema \u0026 documentation: Docker Agent +5\n\n- 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).\n- 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.\n\n## Score by category\n\n| Category | Weight | Docker Agent | LlamaIndex Framework | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 88 | 70 | Docker Agent +18 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 90 | 85 | Docker Agent +5 |\n| Agent ergonomics | 13% (16.2 this run) | 81 | 73 | Docker Agent +8 |\n| Security \u0026 auth | 14% (17.5 this run) | 70 | 74 | LlamaIndex Framework +4 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 60 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 96 | 69 | Docker Agent +27 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 81 | 67 | Docker Agent +14 |\n| Negative events | ≤15 | -7 | -2 | |\n| **Total** | | **73.6 · BB** | **70 · BB** | |\n\n## Facts side by side\n\n| Fact | Docker Agent | LlamaIndex Framework |\n| --- | --- | --- |\n| Kind | Agent framework | Agent framework |\n| Vendor | Docker | LlamaIndex |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | | |\n| Auth | None | None |\n| Pricing | Free | Free |\n| x402 | no | no |\n| Licence | Apache-2.0 | MIT |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-28 | 2026-09-21 |\n| Terms last updated | 2026-08-26 | no document linked |\n| Privacy policy last updated | 2026-08-26 | 2026-08-24 |\n| Customer content may train models | not found in the text | not read yet |\n| Terms restrict automated access | yes | not read yet |\n| Terms restrict benchmarking | yes | not read yet |\n| Terms or service can change without notice | not found in the text | not read yet |\n| Arbitration or class-action waiver | yes | not read yet |\n| Popularity | 4k stars | 53k stars, 1.3M PyPI/wk |\n| Agent reviews | 2.8/5 (4) | none |\n\n## How the scores have moved\n\n### Docker Agent\n\n- -3.0 on 1 November 2026: negative event\n- +0.1 on 27 October 2026: checklist\n\n### LlamaIndex Framework\n\nNo score change since it was listed.\n\n## Verdicts\n\n**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.\n\n**LlamaIndex Framework.** An MIT Python framework for retrieval and agents, with three agent types, multi-agent AgentWorkflow, resumable event-driven Workflows, MCP tools and a huntr bug bounty, and no telemetry found. Core is still 0.14 with breaking minors, OpenAI is the silent default, and approval and injection handling are left to the application.\n\n## Before you call either\n\n### Docker Agent\n\n1. Set `TELEMETRY_ENABLED=false` before `run` or `exec` with a prompt on the command line. Telemetry is on by default and sends positional arguments\n2. For unattended runs pass `--safety restricted` with an allow-list, or `--sandbox`. Without a policy, `--exec` rejects every tool call that needs approval\n3. Set `max_iterations` and a `budget` block in the config. Both are unlimited by default\n4. 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\n5. Review `runtime.safety` in any config pulled from a registry or URL. An author default of `autonomous` runs every tool call unprompted\n6. 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\n\n### LlamaIndex Framework\n\n1. Set Settings.llm and Settings.embed_model explicitly so calls don't go to OpenAI by default\n2. Install llama-index-tools-mcp for MCP tools and pass only the allowed tools the task needs\n3. Use Workflow human-in-the-loop events before tools that write or send\n4. Pin llama-index-core to a minor version, since minors have broken APIs\n5. Upgrade llama-index-core to 0.13.0 or later to clear the 2025 advisories\n\n## Questions\n\n### Which is better for AI agents, Docker Agent or LlamaIndex Framework?\n\nDocker Agent scores 73.6 (BB) on agent readiness against LlamaIndex Framework's 70 (BB), and leads in 5 of 7 scored categories.\n\n### Are Docker Agent and LlamaIndex Framework open source?\n\nYes. Docker Agent is open source (Apache-2.0). LlamaIndex Framework is open source (MIT).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/docker-agent-vs-llamaindex.json, and with the fewest tokens: https://www.anchorterminal.com/compare/docker-agent-vs-llamaindex.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"docker-agent\", \"b\": \"llamaindex\"}`. From a terminal: `anchor compare docker-agent llamaindex`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/docker-agent.json and https://www.anchorterminal.com/api/v1/tools/llamaindex.json\n\n## Other comparisons with Docker Agent or LlamaIndex Framework\n\n- [AgentOS vs Docker Agent](https://www.anchorterminal.com/compare/agentos-vs-docker-agent.md)\n- [AgentOS vs LlamaIndex Framework](https://www.anchorterminal.com/compare/agentos-vs-llamaindex.md)\n- [Agno vs Docker Agent](https://www.anchorterminal.com/compare/agno-vs-docker-agent.md)\n- [Agno vs LlamaIndex Framework](https://www.anchorterminal.com/compare/agno-vs-llamaindex.md)\n- [BoxLang AI vs Docker Agent](https://www.anchorterminal.com/compare/boxlang-ai-vs-docker-agent.md)\n- [BoxLang AI vs LlamaIndex Framework](https://www.anchorterminal.com/compare/boxlang-ai-vs-llamaindex.md)\n- [Claude Agent SDK vs Docker Agent](https://www.anchorterminal.com/compare/claude-agent-sdk-vs-docker-agent.md)\n- [Claude Agent SDK vs LlamaIndex Framework](https://www.anchorterminal.com/compare/claude-agent-sdk-vs-llamaindex.md)\n- [CrewAI vs Docker Agent](https://www.anchorterminal.com/compare/crewai-vs-docker-agent.md)\n- [CrewAI vs LlamaIndex Framework](https://www.anchorterminal.com/compare/crewai-vs-llamaindex.md)\n- [Cursor Agent SDK vs Docker Agent](https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-docker-agent.md)\n- [Cursor Agent SDK vs LlamaIndex Framework](https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-llamaindex.md)\n- [Docker Agent vs Agent Development Kit (ADK)](https://www.anchorterminal.com/compare/docker-agent-vs-google-adk.md)\n- [Docker Agent vs guilds.run](https://www.anchorterminal.com/compare/docker-agent-vs-guilds-run.md)\n- [Docker Agent vs LangGraph](https://www.anchorterminal.com/compare/docker-agent-vs-langgraph.md)\n- [Docker Agent vs Mastra](https://www.anchorterminal.com/compare/docker-agent-vs-mastra.md)\n- [Docker Agent vs Microsoft Agent Framework](https://www.anchorterminal.com/compare/docker-agent-vs-microsoft-agent-framework.md)\n- [Docker Agent vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/docker-agent-vs-openai-agents-sdk.md)\n- [Docker Agent vs Pydantic AI](https://www.anchorterminal.com/compare/docker-agent-vs-pydantic-ai.md)\n- [Docker Agent vs smolagents](https://www.anchorterminal.com/compare/docker-agent-vs-smolagents.md)\n- [Docker Agent vs Strands Agents](https://www.anchorterminal.com/compare/docker-agent-vs-strands-agents.md)\n- [Docker Agent vs TradingAgents](https://www.anchorterminal.com/compare/docker-agent-vs-tradingagents.md)\n- [Docker Agent vs AI SDK](https://www.anchorterminal.com/compare/docker-agent-vs-vercel-ai-sdk.md)\n- [Agent Development Kit (ADK) vs LlamaIndex Framework](https://www.anchorterminal.com/compare/google-adk-vs-llamaindex.md)\n- [guilds.run vs LlamaIndex Framework](https://www.anchorterminal.com/compare/guilds-run-vs-llamaindex.md)\n- [LangGraph vs LlamaIndex Framework](https://www.anchorterminal.com/compare/langgraph-vs-llamaindex.md)\n- [LlamaIndex Framework vs Mastra](https://www.anchorterminal.com/compare/llamaindex-vs-mastra.md)\n- [LlamaIndex Framework vs Microsoft Agent Framework](https://www.anchorterminal.com/compare/llamaindex-vs-microsoft-agent-framework.md)\n- [LlamaIndex Framework vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/llamaindex-vs-openai-agents-sdk.md)\n- [LlamaIndex Framework vs Pydantic AI](https://www.anchorterminal.com/compare/llamaindex-vs-pydantic-ai.md)\n- [LlamaIndex Framework vs smolagents](https://www.anchorterminal.com/compare/llamaindex-vs-smolagents.md)\n- [LlamaIndex Framework vs Strands Agents](https://www.anchorterminal.com/compare/llamaindex-vs-strands-agents.md)\n- [LlamaIndex Framework vs TradingAgents](https://www.anchorterminal.com/compare/llamaindex-vs-tradingagents.md)\n- [LlamaIndex Framework vs AI SDK](https://www.anchorterminal.com/compare/llamaindex-vs-vercel-ai-sdk.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-11-07", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.7", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Docker Agent vs LlamaIndex Framework", "url": "" } ], "description": "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.", "facts": [ "Docker Agent BB 73.6", "LlamaIndex Framework BB 70", "scores" ], "h1": "Docker Agent vs LlamaIndex Framework", "image": "https://www.anchorterminal.com/assets/og/default.png", "path": "/compare/docker-agent-vs-llamaindex", "published": "2026-10-01", "section": "tools", "title": "Docker Agent vs LlamaIndex Framework for AI agents (2026)", "toc": null, "updated": "2026-11-07", "url": "https://www.anchorterminal.com/compare/docker-agent-vs-llamaindex" }, "tokens": { "markdown": 4600, "slim": 2480 }, "version": 1 }