{
  "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",
      "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": "2026-10-07",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 76.5,
        "grade": "BB",
        "agentReady": true,
        "rank": 30,
        "ranked": true,
        "rankOf": 629,
        "categoryRank": 4,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 81,
          "maintenance": 96,
          "payments": 60,
          "reliability": 88,
          "schema": 90,
          "security": 70,
          "transparency": 80
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-08"
        },
        "negative": -4,
        "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"
        ],
        "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 two high-severity approval bypasses were fixed in August and September 2026.",
        "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",
          "v1.149.0 on 7 October 2026, with 45 tagged releases in 90 days 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 of them between July and September 2026",
          "`max_iterations` is unlimited and no budget is set unless the config declares one",
          "The `--listen` control plane has no built-in authentication, 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"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "BB",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 76.5
          }
        ],
        "editorialScores": {
          "ergonomics": 81,
          "maintenance": 96,
          "payments": 60,
          "reliability": 88,
          "schema": 90,
          "security": 70,
          "transparency": 75
        },
        "provenanceScore": 84
      },
      "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": "2026-10-08",
        "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.",
          "Main-branch docs are on docker.github.io/docker-agent and the stable docs on docs.docker.com/ai/docker-agent. Both loaded on 8 October 2026.",
          "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": 84
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/docker-agent.json",
      "live": {
        "slug": "docker-agent",
        "versions": [
          {
            "registry": "github",
            "name": "docker/docker-agent",
            "version": "v1.149.0",
            "released": "2026-10-07",
            "seenAt": "2026-10-08T16:08:47.905263699Z"
          }
        ],
        "githubStars": 4162,
        "securityTxt": {
          "url": "https://docker.com/.well-known/security.txt",
          "state": "valid",
          "expires": "2030-01-01T05:00:00.000Z",
          "checkedAt": "2026-10-08T15:38:30.592404975Z"
        },
        "pages": [
          {
            "url": "https://raw.githubusercontent.com/docker/docker-agent/main/CHANGELOG.md",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-08T18:24:07.71659514Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "1dc799acf63f"
          },
          {
            "url": "https://www.docker.com/legal/privacy/",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-08T18:27:28.948905077Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "5c5df9f58922"
          },
          {
            "url": "https://www.docker.com/legal/docker-terms-use/",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-08T18:27:26.958328358Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "e68baa3d8d9c"
          }
        ],
        "updatedAt": "2026-10-08T18:27:28.948905077Z"
      }
    },
    "answer": "Docker Agent scores 76.5 (BB) on agent readiness against LangGraph's 70.6 (BB), and leads in 6 of 7 scored categories.",
    "b": {
      "slug": "langgraph",
      "name": "LangGraph",
      "vendor": "LangChain",
      "vendorUrl": "https://www.langchain.com",
      "kind": "framework",
      "category": "frameworks",
      "summary": "Low-level runtime for long-running, stateful agent graphs with checkpointed persistence, human-in-the-loop, memory and streaming.",
      "url": "https://www.anchorterminal.com/tools/langgraph",
      "markdownUrl": "https://www.anchorterminal.com/tools/langgraph.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/langgraph.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/langgraph.json",
      "repo": "https://github.com/langchain-ai/langgraph",
      "license": "MIT",
      "transports": [],
      "packages": [
        {
          "registry": "pypi",
          "name": "langgraph"
        },
        {
          "registry": "npm",
          "name": "@langchain/langgraph"
        }
      ],
      "auth": "none",
      "authNotes": "A library. Credentials are for whichever model and tools you wire in.",
      "pricing": "free",
      "pricingNotes": "Free and open source. You pay for the model calls it makes. LangSmith for tracing is free for one developer, then $39 a seat a month. Deployment is metered.",
      "priceSummary": "Free · OSS",
      "where": "library",
      "x402": {
        "level": "no",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 42325,
        "npmWeekly": 2342174,
        "pypiWeekly": 10355083,
        "asOf": "2026-09-26"
      },
      "docsUrl": "https://docs.langchain.com/oss/python/langgraph/overview",
      "llmsTxt": "https://docs.langchain.com/llms.txt",
      "capabilities": [
        "agent.framework",
        "agent.multi-agent",
        "agent.durable",
        "agent.mcp-client"
      ],
      "tags": [
        "framework",
        "python",
        "typescript",
        "open-source",
        "durable"
      ],
      "lastRelease": "2026-09-21",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 70.6,
        "grade": "BB",
        "agentReady": true,
        "rank": 124,
        "ranked": true,
        "rankOf": 629,
        "categoryRank": 9,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 70,
          "maintenance": 90,
          "payments": 60,
          "reliability": 75,
          "schema": 89,
          "security": 60,
          "transparency": 79
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": -3,
        "negativeNotes": [
          "2025-10-29 to 2025-12-09. Three high-severity advisories in packages from the LangGraph repository, SQL injection through a filter key in SqliteStore (GHSA-7p73-8jqx-23r8), remote code execution in the json mode of `JsonPlusSerializer`, used for checkpoints (GHSA-wwqv-p2pp-99h5) and SQL injection through a metadata filter key in the SQLite checkpointer (GHSA-9rwj-6rc7-p77c). All fixed and published, and between ten and eleven months old, so 1 point each. Five moderate advisories in 2026 weren't deducted. https://github.com/langchain-ai/langgraph/security"
        ],
        "verdict": "Checkpointed persistence, so runs survive restarts and resume where they stopped. No MCP client of its own. LangChain's langchain.mcp is in beta.",
        "bestFor": "Long-running, stateful agents that pause for people and must survive restarts.",
        "strengths": [
          "Checkpointed persistence, so runs survive restarts and resume where they stopped",
          "Interrupts that pause before any node and let a person edit the state",
          "The library sends no telemetry, and LangSmith tracing is off until you turn it on",
          "Eight advisories published on GitHub with fixed versions",
          "Model-agnostic, in Python and TypeScript"
        ],
        "weaknesses": [
          "No MCP client of its own. LangChain's langchain.mcp is in beta",
          "More code than the others for a plain tool-calling agent",
          "No guardrail primitive or sandbox in LangGraph itself",
          "416 open issues and 230 open pull requests",
          "The CLI sends an analytics event per command by default"
        ],
        "agentNotes": [
          "Use a persistent checkpointer in production, not the in-memory one",
          "Move from langchain-mcp-adapters to langchain.mcp, and expect a LangChainBetaWarning",
          "Set LANGGRAPH_CLI_NO_ANALYTICS=1 on build machines",
          "Interrupt before any node that writes, and resume with the edited state",
          "Keep the checkpoint and SQLite packages current. Each had a high-severity advisory in late 2025"
        ],
        "metrics": {
          "kind": "library",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 3.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "BB",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 70.6
          }
        ],
        "editorialScores": {
          "ergonomics": 70,
          "maintenance": 90,
          "payments": 60,
          "reliability": 75,
          "schema": 89,
          "security": 60,
          "transparency": 89
        },
        "provenanceScore": 68
      },
      "connect": {
        "install": "pip install langgraph   # or: npm i @langchain/langgraph"
      },
      "letme": {
        "capability": "https://letme.dev/agent.framework",
        "tool": "https://letme.dev/langgraph"
      },
      "sameCompany": [
        "langsmith"
      ],
      "area": "frameworks",
      "unitPrices": [
        {
          "item": "LangSmith Plus",
          "unit": "seat-month",
          "usd": 39,
          "note": "tracing and evaluation, one developer free"
        }
      ],
      "provenance": {
        "legalEntity": "LangChain, Inc.",
        "domain": "langchain.com",
        "domainRegistered": "2019-12-03",
        "endpointOnVendorDomain": null,
        "terms": "",
        "privacy": "",
        "statusPage": "",
        "changelog": "https://docs.langchain.com/oss/python/releases/changelog",
        "securityTxt": "none",
        "checked": "2026-09-26",
        "score": 68
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/langgraph.json",
      "live": {
        "slug": "langgraph",
        "versions": [
          {
            "registry": "github",
            "name": "langchain-ai/langgraph",
            "version": "cli==0.4.33",
            "released": "2026-10-07",
            "seenAt": "2026-10-08T16:18:28.010746501Z"
          },
          {
            "registry": "npm",
            "name": "@langchain/langgraph",
            "version": "1.4.21",
            "seenAt": "2026-10-08T16:18:27.165174515Z"
          },
          {
            "registry": "pypi",
            "name": "langgraph",
            "version": "1.2.14",
            "released": "2026-10-06",
            "seenAt": "2026-10-08T16:18:26.874659185Z"
          }
        ],
        "githubStars": 42893,
        "npmWeekly": 4552953,
        "pypiWeekly": 11856502,
        "securityTxt": {
          "url": "https://langchain.com/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-08T15:39:09.255420267Z"
        },
        "llmsTxt": {
          "url": "https://docs.langchain.com/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-08T14:00:33.943966023Z"
        },
        "domain": {
          "domain": "langchain.com",
          "registered": "2019-12-03",
          "source": "https://rdap.verisign.com/com/v1/domain/langchain.com",
          "checkedAt": "2026-10-04T13:04:29.722113647Z"
        },
        "pages": [
          {
            "url": "https://docs.langchain.com/oss/python/releases/changelog",
            "kind": "deprecations",
            "status": 200,
            "checkedAt": "2026-10-08T18:18:55.173890479Z",
            "changedAt": "2026-09-30T13:10:07.307373447Z",
            "fingerprint": "8769957845f7"
          }
        ],
        "updatedAt": "2026-10-08T18:18:55.173890479Z"
      }
    },
    "facts": [
      {
        "a": "Agent framework",
        "b": "Agent framework",
        "name": "Kind"
      },
      {
        "a": "Docker",
        "b": "LangChain",
        "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": "2026-10-07",
        "b": "2026-09-21",
        "name": "Last release"
      },
      {
        "a": "2026-08-26",
        "b": "no document linked",
        "name": "Terms last updated"
      },
      {
        "a": "2026-08-26",
        "b": "no document linked",
        "name": "Privacy policy last updated"
      },
      {
        "a": "not found in the text",
        "b": "",
        "name": "Customer content may train models"
      },
      {
        "a": "yes",
        "b": "",
        "name": "Terms restrict automated access"
      },
      {
        "a": "yes",
        "b": "",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "not found in the text",
        "b": "",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "yes",
        "b": "",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "4k stars",
        "b": "42k stars, 2.3M npm/wk, 10.4M PyPI/wk",
        "name": "Popularity"
      },
      {
        "a": "none",
        "b": "3.5/5 (2)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Docker Agent scores 76.5 (BB) on agent readiness against LangGraph's 70.6 (BB), and leads in 6 of 7 scored categories.",
        "question": "Which is better for AI agents, Docker Agent or LangGraph?"
      },
      {
        "answer": "Yes. Docker Agent is open source (Apache-2.0). LangGraph is open source (MIT).",
        "question": "Are Docker Agent and LangGraph open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 88 against 75",
          "Agent ergonomics, 81 against 70",
          "Security \u0026 auth, 70 against 60",
          "Maintenance \u0026 community, 96 against 90"
        ],
        "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": "Long-running, stateful agents that pause for people and must survive restarts.",
        "slug": "langgraph",
        "watchFor": "No MCP client of its own. LangChain's langchain.mcp is in beta"
      }
    ],
    "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-langgraph.json",
        "title": "AgentOS vs LangGraph",
        "url": "https://www.anchorterminal.com/compare/agentos-vs-langgraph"
      },
      {
        "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-langgraph.json",
        "title": "Agno vs LangGraph",
        "url": "https://www.anchorterminal.com/compare/agno-vs-langgraph"
      },
      {
        "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"
      },
      {
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        "url": "https://www.anchorterminal.com/compare/claude-agent-sdk-vs-langgraph"
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        "url": "https://www.anchorterminal.com/compare/crewai-vs-docker-agent"
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        "json": "https://www.anchorterminal.com/compare/crewai-vs-langgraph.json",
        "title": "CrewAI vs LangGraph",
        "url": "https://www.anchorterminal.com/compare/crewai-vs-langgraph"
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      {
        "json": "https://www.anchorterminal.com/compare/docker-agent-vs-google-adk.json",
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      },
      {
        "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",
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        "url": "https://www.anchorterminal.com/compare/docker-agent-vs-pydantic-ai"
      },
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        "json": "https://www.anchorterminal.com/compare/google-adk-vs-langgraph.json",
        "title": "Agent Development Kit (ADK) vs LangGraph",
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      {
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        "url": "https://www.anchorterminal.com/compare/langgraph-vs-microsoft-agent-framework"
      },
      {
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        "title": "LangGraph vs Pydantic AI",
        "url": "https://www.anchorterminal.com/compare/langgraph-vs-pydantic-ai"
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    "scores": [
      {
        "by": 13,
        "docker-agent": 88,
        "edge": "docker-agent",
        "key": "reliability",
        "langgraph": 75,
        "name": "Reliability",
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 1,
        "docker-agent": 90,
        "edge": "docker-agent",
        "key": "schema",
        "langgraph": 89,
        "name": "Schema \u0026 documentation",
        "weight": 13
      },
      {
        "by": 11,
        "docker-agent": 81,
        "edge": "docker-agent",
        "key": "ergonomics",
        "langgraph": 70,
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "by": 10,
        "docker-agent": 70,
        "edge": "docker-agent",
        "key": "security",
        "langgraph": 60,
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "by": 0,
        "docker-agent": 60,
        "edge": "",
        "key": "payments",
        "langgraph": 60,
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
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        "docker-agent": 96,
        "edge": "docker-agent",
        "key": "maintenance",
        "langgraph": 90,
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "by": 1,
        "docker-agent": 80,
        "edge": "docker-agent",
        "key": "transparency",
        "langgraph": 79,
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
    ],
    "summary": "Docker Agent scores 76.5 (BB) on agent readiness against LangGraph's 70.6 (BB), and leads in 6 of 7 scored categories. Both do agent frameworks.",
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      "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 two high-severity approval bypasses were fixed in August and September 2026.",
      "langgraph": "Checkpointed persistence, so runs survive restarts and resume where they stopped. No MCP client of its own. LangChain's langchain.mcp is in beta."
    }
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  "markdown": "Docker Agent scores 76.5 (BB) on agent readiness against LangGraph's 70.6 (BB), and leads in 6 of 7 scored categories. Both do agent frameworks.\n\n- Docker Agent: grade BB, 76.5/100, rank #30 of 629. Markdown https://www.anchorterminal.com/tools/docker-agent.md · JSON https://www.anchorterminal.com/api/v1/tools/docker-agent.json\n- LangGraph: grade BB, 70.6/100, rank #124 of 629. Markdown https://www.anchorterminal.com/tools/langgraph.md · JSON https://www.anchorterminal.com/api/v1/tools/langgraph.json\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 75\n- Agent ergonomics, 81 against 70\n- Security \u0026 auth, 70 against 60\n- Maintenance \u0026 community, 96 against 90\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### LangGraph (BB)\n\nGood for: Long-running, stateful agents that pause for people and must survive restarts.\n\nWatch for: No MCP client of its own. LangChain's langchain.mcp is in beta\n\n\n## Score by category\n\n| Category | Weight | Docker Agent | LangGraph | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 88 | 75 | Docker Agent +13 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 90 | 89 | Docker Agent +1 |\n| Agent ergonomics | 13% (16.2 this run) | 81 | 70 | Docker Agent +11 |\n| Security \u0026 auth | 14% (17.5 this run) | 70 | 60 | Docker Agent +10 |\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 | 90 | Docker Agent +6 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 80 | 79 | Docker Agent +1 |\n| Negative events | ≤15 | -4 | -3 | |\n| **Total** | | **76.5 · BB** | **70.6 · BB** | |\n\n## Facts side by side\n\n| Fact | Docker Agent | LangGraph |\n| --- | --- | --- |\n| Kind | Agent framework | Agent framework |\n| Vendor | Docker | LangChain |\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 | 2026-10-07 | 2026-09-21 |\n| Terms last updated | 2026-08-26 | no document linked |\n| Privacy policy last updated | 2026-08-26 | no document linked |\n| Customer content may train models | not found in the text |  |\n| Terms restrict automated access | yes |  |\n| Terms restrict benchmarking | yes |  |\n| Terms or service can change without notice | not found in the text |  |\n| Arbitration or class-action waiver | yes |  |\n| Popularity | 4k stars | 42k stars, 2.3M npm/wk, 10.4M PyPI/wk |\n| Agent reviews | none | 3.5/5 (2) |\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 two high-severity approval bypasses were fixed in August and September 2026.\n\n**LangGraph.** Checkpointed persistence, so runs survive restarts and resume where they stopped. No MCP client of its own. LangChain's langchain.mcp is in beta.\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\n\n### LangGraph\n\n1. Use a persistent checkpointer in production, not the in-memory one\n2. Move from langchain-mcp-adapters to langchain.mcp, and expect a LangChainBetaWarning\n3. Set LANGGRAPH_CLI_NO_ANALYTICS=1 on build machines\n4. Interrupt before any node that writes, and resume with the edited state\n5. Keep the checkpoint and SQLite packages current. Each had a high-severity advisory in late 2025\n\n## Questions\n\n### Which is better for AI agents, Docker Agent or LangGraph?\n\nDocker Agent scores 76.5 (BB) on agent readiness against LangGraph's 70.6 (BB), and leads in 6 of 7 scored categories.\n\n### Are Docker Agent and LangGraph open source?\n\nYes. Docker Agent is open source (Apache-2.0). LangGraph is open source (MIT).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/docker-agent-vs-langgraph.json, and with the fewest tokens: https://www.anchorterminal.com/compare/docker-agent-vs-langgraph.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"docker-agent\", \"b\": \"langgraph\"}`. From a terminal: `anchor compare docker-agent langgraph`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/docker-agent.json and https://www.anchorterminal.com/api/v1/tools/langgraph.json\n\n## Other comparisons with Docker Agent or LangGraph\n\n- [AgentOS vs Docker Agent](https://www.anchorterminal.com/compare/agentos-vs-docker-agent.md)\n- [AgentOS vs LangGraph](https://www.anchorterminal.com/compare/agentos-vs-langgraph.md)\n- [Agno vs Docker Agent](https://www.anchorterminal.com/compare/agno-vs-docker-agent.md)\n- [Agno vs LangGraph](https://www.anchorterminal.com/compare/agno-vs-langgraph.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 LangGraph](https://www.anchorterminal.com/compare/claude-agent-sdk-vs-langgraph.md)\n- [CrewAI vs Docker Agent](https://www.anchorterminal.com/compare/crewai-vs-docker-agent.md)\n- [CrewAI vs LangGraph](https://www.anchorterminal.com/compare/crewai-vs-langgraph.md)\n- [Docker Agent vs Agent Development Kit (ADK)](https://www.anchorterminal.com/compare/docker-agent-vs-google-adk.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- [Agent Development Kit (ADK) vs LangGraph](https://www.anchorterminal.com/compare/google-adk-vs-langgraph.md)\n- [LangGraph vs Microsoft Agent Framework](https://www.anchorterminal.com/compare/langgraph-vs-microsoft-agent-framework.md)\n- [LangGraph vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/langgraph-vs-openai-agents-sdk.md)\n- [LangGraph vs Pydantic AI](https://www.anchorterminal.com/compare/langgraph-vs-pydantic-ai.md)\n",
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