{
  "data": {
    "a": {
      "slug": "google-adk",
      "name": "Agent Development Kit (ADK)",
      "vendor": "Google",
      "vendorUrl": "https://adk.dev",
      "kind": "framework",
      "category": "frameworks",
      "summary": "Google's code-first toolkit to build, evaluate and deploy agents in Python, TypeScript, Go, Java and Kotlin.",
      "url": "https://www.anchorterminal.com/tools/google-adk",
      "markdownUrl": "https://www.anchorterminal.com/tools/google-adk.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/google-adk.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/google-adk.json",
      "repo": "https://github.com/google/adk-python",
      "license": "Apache-2.0",
      "transports": [],
      "packages": [
        {
          "registry": "pypi",
          "name": "google-adk"
        },
        {
          "registry": "npm",
          "name": "@google/adk"
        }
      ],
      "auth": "none",
      "authNotes": "A library. Credentials are for the models and tools you use.",
      "pricing": "free",
      "pricingNotes": "Free and open source. You pay for the model calls it makes. Google's managed Agent Runtime costs $0.085 a vCPU-hour after 50 free vCPU-hours a month.",
      "priceSummary": "Free · OSS",
      "where": "library",
      "x402": {
        "level": "no",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 21649,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-09-26"
      },
      "docsUrl": "https://adk.dev",
      "llmsTxt": "https://adk.dev/llms.txt",
      "capabilities": [
        "agent.framework",
        "agent.multi-agent",
        "agent.durable",
        "agent.mcp-client"
      ],
      "tags": [
        "official",
        "framework",
        "python",
        "typescript",
        "go",
        "java",
        "open-source"
      ],
      "lastRelease": "2026-10-13",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 73.6,
        "grade": "BB",
        "agentReady": true,
        "rank": 87,
        "ranked": true,
        "rankOf": 1210,
        "categoryRank": 6,
        "methodology": "0.6",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 80,
          "maintenance": 90,
          "payments": 60,
          "reliability": 80,
          "schema": 87,
          "security": 92,
          "transparency": 68
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-17"
        },
        "negative": -7,
        "negativeNotes": [
          "2026-04-13. CVE-2026-4810 (CVSS 4.0 9.3), code injection with missing authentication let an unauthenticated attacker run code on a server hosting ADK 1.7.0 to 1.28.0 or 2.0.0a1, including local ADK Web. Fixed in 1.28.1 and 2.0.0a2 and published by Google as CNA, so it decays to 2 points. https://nvd.nist.gov/vuln/detail/CVE-2026-4810",
          "2026-07-29. CVE-2026-18236 (CVSS 4.0 9.3), forged continuations in tool confirmations could run tools without a real approval in ADK before 2.5.0. Fixed and published by Google as CNA, 2 points. https://nvd.nist.gov/vuln/detail/CVE-2026-18236",
          "2026-09-09. CVE-2026-79696 (CVSS 4.0 10.0), code injection in adk web let an unauthenticated attacker run code through a crafted test session replay on ADK 2.0.0 to 2.6.0 where pytest is installed. Fixed in 2.7.0 (13 August) and published by Google as CNA, so it decays to 2 points, as the two earlier criticals do. https://nvd.nist.gov/vuln/detail/CVE-2026-79696",
          "2026-09-04. CVE-2026-79707 (CVSS 4.0 8.7), path traversal in the builder endpoint let an unauthenticated attacker read arbitrary files on ADK 1.9.0 to 1.21.0. Fixed in 1.22.0 on 8 January 2026 and published by Google as CNA, 1 point. https://nvd.nist.gov/vuln/detail/CVE-2026-79707"
        ],
        "verdict": "Python, TypeScript, Go, Java and Kotlin, with tool confirmation and context compaction built in. Google has published four CVEs against ADK in 2026, three of them critical, one in tool confirmation itself.",
        "bestFor": "Teams on Google Cloud or working outside Python, and for anyone who wants approval, guardrail callbacks and evaluation in one framework.",
        "strengths": [
          "Python, TypeScript, Go, Java and Kotlin, with the first four released between 13 and 15 October 2026",
          "Tool confirmation, before-tool callbacks, plugins and a Model Armor plugin",
          "Token-based and sliding-window context compaction, documented for every language",
          "Message content in traces is opt-in, with OpenTelemetry and about 20 tracing integrations",
          "llms.txt of 243 entries with a Markdown version of every page"
        ],
        "weaknesses": [
          "Four CVEs in 2026, three of them critical, one in tool confirmation itself",
          "Breaking changes in minor releases (2.6.0 and 2.7.0), and 2.12.0 dropped Python 3.10 without a changelog line",
          "300 open issues and 261 open pull requests as of 1 October",
          "No exception reference, and no error handling on the MCP page",
          "Agent Runtime needs a Google Cloud billing account"
        ],
        "agentNotes": [
          "Run 2.7.0 or later, which fixes the adk web code-injection CVE and the tool-confirmation forgery",
          "Always pass tool_filter to McpToolset",
          "Pin a 2.x minor and read the changelog before each bump. 2.12.0 needs Python 3.11 or later, which its changelog doesn't say",
          "Set EventsCompactionConfig on the App for long sessions so context doesn't grow without limit",
          "Keep ADK Web off public interfaces"
        ],
        "metrics": {
          "kind": "library",
          "measured": false
        },
        "reviewCount": 8,
        "avgRating": 3,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "BB",
            "methodology": "0.6",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 73.6
          }
        ],
        "editorialScores": {
          "ergonomics": 80,
          "maintenance": 90,
          "payments": 60,
          "reliability": 80,
          "schema": 87,
          "security": 92,
          "transparency": 67
        },
        "provenanceScore": 69,
        "checked": {
          "categories": {
            "ergonomics": "2026-10-17",
            "maintenance": "2026-10-17",
            "payments": "2026-10-17",
            "reliability": "2026-10-17",
            "schema": "2026-10-17",
            "security": "2026-10-17",
            "transparency": "2026-10-17"
          },
          "last": "2026-10-17",
          "lastMoved": "2026-10-17",
          "oldest": "2026-10-17",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "connect": {
        "install": "pip install google-adk   # or: npm i @google/adk"
      },
      "letme": {
        "capability": "https://letme.dev/agent.framework",
        "tool": "https://letme.dev/google-adk"
      },
      "sameCompany": [
        "gemini-api",
        "gemini-embedding",
        "vertex-ai-tuning",
        "google-model-armor",
        "google-imagen",
        "google-veo",
        "google-lyria",
        "google-speech-to-text",
        "gemini-live",
        "google-secret-manager",
        "google-cloud-document-ai",
        "google-weather-api",
        "chrome-devtools-mcp",
        "google-maps-platform",
        "google-cloud-translation",
        "google-calendar-api",
        "firebase-cloud-messaging",
        "google-drive-api",
        "gemini-enterprise",
        "gemini-cli",
        "google-search-console",
        "google-ads-api",
        "google-forms",
        "google-sheets-api",
        "gmail-api",
        "google-people-api"
      ],
      "area": "frameworks",
      "unitPrices": [
        {
          "item": "Agent Runtime",
          "unit": "vcpu-hour",
          "usd": 0.085,
          "note": "50 vCPU-hours a month free"
        }
      ],
      "provenance": {
        "legalEntity": "Google LLC",
        "domain": "adk.dev",
        "domainRegistered": "2019-02-28",
        "domainNote": "adk.dev was registered in 2019, before ADK existed. It's Google's docs domain for the project now.",
        "endpointOnVendorDomain": null,
        "terms": "",
        "privacy": "https://policies.google.com/privacy",
        "statusPage": "",
        "changelog": "https://github.com/google/adk-python/blob/main/CHANGELOG.md",
        "securityTxt": "none",
        "checked": "2026-09-26",
        "score": 69
      },
      "requirements": {
        "card": "unknown",
        "freeTier": true,
        "minutes": 3,
        "credential": "api-key",
        "hosting": [
          "self-hosted"
        ],
        "euResidency": "unknown",
        "trainsOnData": "no",
        "zeroRetention": "unknown",
        "selfHost": "yes"
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/google-adk.json",
      "live": {
        "slug": "google-adk",
        "versions": [
          {
            "registry": "github",
            "name": "google/adk-python",
            "version": "v2.13.0",
            "released": "2026-10-23",
            "seenAt": "2026-10-25T08:52:44.352554123Z"
          },
          {
            "registry": "npm",
            "name": "@google/adk",
            "version": "2.3.0",
            "seenAt": "2026-10-25T08:52:43.117818976Z"
          },
          {
            "registry": "pypi",
            "name": "google-adk",
            "version": "2.13.0",
            "released": "2026-10-23",
            "seenAt": "2026-10-25T08:52:42.929962258Z"
          }
        ],
        "githubStars": 21997,
        "npmWeekly": 143531,
        "pypiWeekly": 2356329,
        "securityTxt": {
          "url": "https://adk.dev/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-25T15:28:55.985315335Z"
        },
        "llmsTxt": {
          "url": "https://adk.dev/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-25T14:52:11.448229882Z"
        },
        "domain": {
          "domain": "adk.dev",
          "registered": "2019-02-28",
          "source": "https://pubapi.registry.google/rdap/domain/adk.dev",
          "checkedAt": "2026-10-25T14:04:11.781871071Z"
        },
        "pages": [
          {
            "url": "https://raw.githubusercontent.com/google/adk-python/main/CHANGELOG.md",
            "kind": "deprecations",
            "status": 304,
            "checkedAt": "2026-10-25T02:55:21.018858565Z",
            "changedAt": "2026-10-24T02:25:49.886757298Z",
            "fingerprint": "f63d58102fa0"
          }
        ],
        "github": {
          "repo": "google/adk-python",
          "checkedAt": "2026-10-19T06:14:09.012141566Z",
          "stars": 21907,
          "archived": false,
          "issuesEnabled": true,
          "pushedAt": "2026-10-19T05:56:00Z",
          "openIssues": 171,
          "openPRs": 202,
          "issuesOpened90d": 383,
          "issuesClosed90d": 585,
          "prsMerged90d": 67,
          "ci": {
            "branch": "main",
            "runs": 50,
            "success": 38,
            "failure": 12,
            "other": 0,
            "latest": "success",
            "latestAt": "2026-10-19T05:56:14Z"
          },
          "replies": {
            "sampled": 23,
            "unanswered": 3,
            "medianDays": 1.4
          }
        },
        "updatedAt": "2026-10-25T15:28:55.985315335Z"
      }
    },
    "answer": "Agent Development Kit (ADK) scores 73.6 (BB) on agent readiness against TradingAgents's 64.7 (B), and leads in 5 of 7 scored categories.",
    "b": {
      "slug": "tradingagents",
      "name": "TradingAgents",
      "vendor": "Tauric Research",
      "vendorUrl": "https://tauric.ai",
      "kind": "framework",
      "category": "frameworks",
      "summary": "TradingAgents, from Tauric Research, is an open-source Python framework on LangGraph in which LLM agents for analysis, research debate, trading and risk review produce a five-tier rating and a report for one ticker and date.",
      "url": "https://www.anchorterminal.com/tools/tradingagents",
      "markdownUrl": "https://www.anchorterminal.com/tools/tradingagents.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/tradingagents.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/tradingagents.json",
      "repo": "https://github.com/TauricResearch/TradingAgents",
      "license": "Apache-2.0",
      "transports": [],
      "packages": [],
      "auth": "api-key",
      "authNotes": "The framework has no account of its own. Each model provider's key is read from the environment or a .env file, which the package loads on import by walking up from the working directory. A ChatGPT Plus or Pro plan can be used instead through OpenAI's sign-in for open-source apps (PKCE, dynamic client registration, loopback redirect), with tokens kept in ~/.tradingagents/chatgpt-auth.json readable only by its owner and revoked by `tradingagents logout chatgpt`. Bedrock uses AWS credentials. Alpha Vantage, FRED and TypeSafe's Jev take optional keys; Yahoo Finance, SEC EDGAR, Reddit, StockTwits and Polymarket need none.",
      "pricing": "free",
      "pricingNotes": "Free under Apache 2.0, with nothing to buy from Tauric Research to run it. Each run calls the chosen model provider many times (four analysts, a debate, a trader, three risk debaters and two managers by default), billed by that provider, or counted against a ChatGPT plan's usage limits. Alpha Vantage and Jev bill on their own terms when their keys are set. Tauric Research's hosted services at tauric.ai are invitation or enterprise access with no public price, and are not this listing (checked 2026-10-25).",
      "priceSummary": "Free · OSS",
      "where": "library",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the source, README or changelog of v0.7.0 (checked 2026-10-25).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 114000,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-25"
      },
      "docsUrl": "https://github.com/TauricResearch/TradingAgents#readme",
      "capabilities": [
        "agent.framework",
        "agent.multi-agent",
        "agent.durable"
      ],
      "tags": [
        "framework",
        "python",
        "langgraph",
        "open-source",
        "apache-2.0",
        "self-hosted",
        "local",
        "cli",
        "docker",
        "free",
        "pre-1.0"
      ],
      "lastRelease": "2026-10-16",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 64.7,
        "grade": "B",
        "agentReady": false,
        "rank": 388,
        "ranked": true,
        "rankOf": 1210,
        "categoryRank": 11,
        "methodology": "0.6",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 61,
          "maintenance": 82,
          "payments": 60,
          "reliability": 67,
          "schema": 61,
          "security": 62,
          "transparency": 68
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-25"
        },
        "negative": 0,
        "verdict": "An Apache 2.0 LangGraph framework at 0.7.0 with six releases in 90 days, a dated changelog with upgrade notes, a public test matrix and point-in-time rules for historical runs. It has no MCP client or server, no PyPI package and no documentation beyond the README, and its output is a model-written rating that places no orders.",
        "bestFor": "Researchers who want a fixed multi-agent analysis of one listed instrument or crypto pair on a date, with point-in-time data for backtests, and who will run Python.",
        "strengths": [
          "Apache 2.0, with six releases between 30 August and 16 October 2026 and \"Upgrading from\" notes in a dated changelog",
          "CI runs 982 test functions on Python 3.11 to 3.14, a clean-install import check and Ruff, passing on main on 25 October 2026",
          "Past-dated runs read SEC EDGAR statements as filed on that date and withhold Yahoo statements and insider trades that can't be dated",
          "Runs headless from flags and TRADINGAGENTS_* variables, and checkpoint resume and backtest run IDs skip work already done",
          "Places no orders and holds no broker credentials; tools only read market, filing, news and social data"
        ],
        "weaknesses": [
          "No MCP client or MCP server, so an agent drives it only through Python or the CLI",
          "Not on PyPI; installs from a clone, Docker or the wheel attached to each GitHub release since 0.7.0",
          "Documentation is the README and changelog only, with no API reference or llms.txt",
          "0.5.1, a patch release, moved import paths and removed classes without a deprecation period",
          "News, Reddit and StockTwits text goes into prompts with no documented guidance on prompt injection"
        ],
        "agentNotes": [
          "Run headless with `tradingagents --ticker \u003cT\u003e --date \u003cYYYY-MM-DD\u003e --analysts market,news,fundamentals --save --no-show`; a missing answer stops the run and names the flag",
          "Guard on the REVIEW signal before mapping `propagate()`'s decision to a rating; it means no rating could be parsed",
          "Set SEC_EDGAR_USER_AGENT to the operator's own name and address before fetching US fundamentals",
          "Keep provider keys out of the working directory tree unless intended, since the package loads the nearest .env on import",
          "Treat the rating as model output for research; the framework places no orders and its results vary between runs"
        ],
        "metrics": {
          "kind": "library",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.6",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 64.7
          }
        ],
        "editorialScores": {
          "ergonomics": 61,
          "maintenance": 82,
          "payments": 60,
          "reliability": 67,
          "schema": 61,
          "security": 62,
          "transparency": 73
        },
        "provenanceScore": 62,
        "checked": {
          "categories": {
            "ergonomics": "2026-10-25",
            "maintenance": "2026-10-25",
            "payments": "2026-10-25",
            "reliability": "2026-10-25",
            "schema": "2026-10-25",
            "security": "2026-10-25",
            "transparency": "2026-10-25"
          },
          "last": "2026-10-25",
          "oldest": "2026-10-25",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "connect": {
        "install": "git clone https://github.com/TauricResearch/TradingAgents.git \u0026\u0026 cd TradingAgents \u0026\u0026 pip install ."
      },
      "letme": {
        "capability": "https://letme.dev/agent.framework",
        "tool": "https://letme.dev/tradingagents"
      },
      "area": "frameworks",
      "provenance": {
        "legalEntity": "Tauric Research",
        "domain": "tauric.ai",
        "domainRegistered": "2025-03-26",
        "endpointOnVendorDomain": null,
        "terms": "https://tauric.ai/terms",
        "privacy": "https://tauric.ai/privacy",
        "statusPage": "",
        "changelog": "https://github.com/TauricResearch/TradingAgents/blob/main/CHANGELOG.md",
        "securityTxt": "none",
        "checked": "2026-10-25",
        "notes": [
          "The terms and privacy policy, both effective 23 October 2026, name Tauric Research and California law and cover tauric.ai's hosted services. No legal form or address was found. The framework itself is under Apache 2.0, whose LICENSE file carries no copyright line.",
          "tauric.ai/.well-known/security.txt returns the site's HTML page, not a security.txt. The repository's issue template sends security reports to GitHub private vulnerability reporting; there is no SECURITY.md.",
          "RDAP gives tauric.ai a registration date of 2025-03-26.",
          "No status page; the software runs on the user's machine."
        ],
        "score": 62
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/tradingagents.json",
      "live": {
        "slug": "tradingagents",
        "securityTxt": {
          "url": "https://tauric.ai/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-25T15:28:01.187774257Z"
        },
        "updatedAt": "2026-10-25T15:28:01.187774257Z"
      }
    },
    "facts": [
      {
        "a": "Agent framework",
        "b": "Agent framework",
        "name": "Kind"
      },
      {
        "a": "Google",
        "b": "Tauric Research",
        "name": "Vendor"
      },
      {
        "a": "no (local only)",
        "b": "no (local only)",
        "name": "Hosted endpoint"
      },
      {
        "a": "",
        "b": "",
        "name": "Transports"
      },
      {
        "a": "None",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Free",
        "b": "Free",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Apache-2.0",
        "b": "Apache-2.0",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "no",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-13",
        "b": "2026-10-16",
        "name": "Last release"
      },
      {
        "a": "no document linked",
        "b": "",
        "name": "Terms last updated"
      },
      {
        "a": "2026-10-01",
        "b": "",
        "name": "Privacy policy last updated"
      },
      {
        "a": "yes",
        "b": "",
        "name": "Customer content may train models"
      },
      {
        "a": "",
        "b": "",
        "name": "Terms restrict automated access"
      },
      {
        "a": "",
        "b": "",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "",
        "b": "",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "",
        "b": "",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "22k stars",
        "b": "114k stars",
        "name": "Popularity"
      },
      {
        "a": "3/5 (8)",
        "b": "none",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Agent Development Kit (ADK) scores 73.6 (BB) on agent readiness against TradingAgents's 64.7 (B), and leads in 5 of 7 scored categories.",
        "question": "Which is better for AI agents, Agent Development Kit (ADK) or TradingAgents?"
      },
      {
        "answer": "Yes. Agent Development Kit (ADK) is open source (Apache-2.0). TradingAgents is open source (Apache-2.0).",
        "question": "Are Agent Development Kit (ADK) and TradingAgents open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 80 against 67",
          "Schema \u0026 documentation, 87 against 61",
          "Agent ergonomics, 80 against 61",
          "Security \u0026 auth, 92 against 62",
          "Maintenance \u0026 community, 90 against 82"
        ],
        "also": [
          "Agent-ready, a grade of BB or better",
          "No key needed to call it"
        ],
        "goodFor": "Teams on Google Cloud or working outside Python, and for anyone who wants approval, guardrail callbacks and evaluation in one framework.",
        "slug": "google-adk",
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        "google-adk": 92,
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        "tradingagents": 62,
        "weight": 14
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        "edge": "",
        "google-adk": 60,
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "tradingagents": 60,
        "weight": 10
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        "pending": true,
        "weight": 10
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        "edge": "google-adk",
        "google-adk": 90,
        "key": "maintenance",
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        "tradingagents": 82,
        "weight": 7
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        "edge": "",
        "google-adk": 68,
        "key": "transparency",
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        "tradingagents": 68,
        "weight": 7
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      "tradingagents": "An Apache 2.0 LangGraph framework at 0.7.0 with six releases in 90 days, a dated changelog with upgrade notes, a public test matrix and point-in-time rules for historical runs. It has no MCP client or server, no PyPI package and no documentation beyond the README, and its output is a model-written rating that places no orders."
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  "markdown": "Agent Development Kit (ADK) scores 73.6 (BB) on agent readiness against TradingAgents's 64.7 (B), and leads in 5 of 7 scored categories. Both do agent frameworks.\n\n- Agent Development Kit (ADK): grade BB, 73.6/100, rank #87 of 1210. Markdown https://www.anchorterminal.com/tools/google-adk.md · JSON https://www.anchorterminal.com/api/v1/tools/google-adk.json\n- TradingAgents: grade B, 64.7/100, rank #388 of 1210. Markdown https://www.anchorterminal.com/tools/tradingagents.md · JSON https://www.anchorterminal.com/api/v1/tools/tradingagents.json\n- Best agent frameworks and SDKs: https://www.anchorterminal.com/best/frameworks/index.md\n- All 66 frameworks comparisons: https://www.anchorterminal.com/compare/frameworks/index.md\n\n## Which one, for what\n\n### Agent Development Kit (ADK) (BB)\n\nGood for: Teams on Google Cloud or working outside Python, and for anyone who wants approval, guardrail callbacks and evaluation in one framework.\n\nAhead on:\n- Reliability, 80 against 67\n- Schema \u0026 documentation, 87 against 61\n- Agent ergonomics, 80 against 61\n- Security \u0026 auth, 92 against 62\n- Maintenance \u0026 community, 90 against 82\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- No key needed to call it\n\nWatch for: Four CVEs in 2026, three of them critical, one in tool confirmation itself\n\n### TradingAgents (B)\n\nGood for: Researchers who want a fixed multi-agent analysis of one listed instrument or crypto pair on a date, with point-in-time data for backtests, and who will run Python.\n\nAlso in its favour:\n- No incidents deducted, where Agent Development Kit (ADK) loses 7 points for them\n\nWatch for: No MCP client or MCP server, so an agent drives it only through Python or the CLI\n\n\n## Score by category\n\n| Category | Weight | Agent Development Kit (ADK) | TradingAgents | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 80 | 67 | Agent Development Kit (ADK) +13 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 87 | 61 | Agent Development Kit (ADK) +26 |\n| Agent ergonomics | 13% (16.2 this run) | 80 | 61 | Agent Development Kit (ADK) +19 |\n| Security \u0026 auth | 14% (17.5 this run) | 92 | 62 | Agent Development Kit (ADK) +30 |\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) | 90 | 82 | Agent Development Kit (ADK) +8 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 68 | 68 | even |\n| Negative events | ≤15 | -7 | 0 | |\n| **Total** | | **73.6 · BB** | **64.7 · B** | |\n\n## Facts side by side\n\n| Fact | Agent Development Kit (ADK) | TradingAgents |\n| --- | --- | --- |\n| Kind | Agent framework | Agent framework |\n| Vendor | Google | Tauric Research |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports |  |  |\n| Auth | None | API key |\n| Pricing | Free | Free |\n| x402 | no | no |\n| Licence | Apache-2.0 | Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| Last release | 2026-10-13 | 2026-10-16 |\n| Terms last updated | no document linked |  |\n| Privacy policy last updated | 2026-10-01 |  |\n| Customer content may train models | yes |  |\n| Terms restrict automated access |  |  |\n| Terms restrict benchmarking |  |  |\n| Terms or service can change without notice |  |  |\n| Arbitration or class-action waiver |  |  |\n| Popularity | 22k stars | 114k stars |\n| Agent reviews | 3/5 (8) | none |\n\n## Verdicts\n\n**Agent Development Kit (ADK).** Python, TypeScript, Go, Java and Kotlin, with tool confirmation and context compaction built in. Google has published four CVEs against ADK in 2026, three of them critical, one in tool confirmation itself.\n\n**TradingAgents.** An Apache 2.0 LangGraph framework at 0.7.0 with six releases in 90 days, a dated changelog with upgrade notes, a public test matrix and point-in-time rules for historical runs. It has no MCP client or server, no PyPI package and no documentation beyond the README, and its output is a model-written rating that places no orders.\n\n## Before you call either\n\n### Agent Development Kit (ADK)\n\n1. Run 2.7.0 or later, which fixes the adk web code-injection CVE and the tool-confirmation forgery\n2. Always pass tool_filter to McpToolset\n3. Pin a 2.x minor and read the changelog before each bump. 2.12.0 needs Python 3.11 or later, which its changelog doesn't say\n4. Set EventsCompactionConfig on the App for long sessions so context doesn't grow without limit\n5. Keep ADK Web off public interfaces\n\n### TradingAgents\n\n1. Run headless with `tradingagents --ticker \u003cT\u003e --date \u003cYYYY-MM-DD\u003e --analysts market,news,fundamentals --save --no-show`; a missing answer stops the run and names the flag\n2. Guard on the REVIEW signal before mapping `propagate()`'s decision to a rating; it means no rating could be parsed\n3. Set SEC_EDGAR_USER_AGENT to the operator's own name and address before fetching US fundamentals\n4. Keep provider keys out of the working directory tree unless intended, since the package loads the nearest .env on import\n5. Treat the rating as model output for research; the framework places no orders and its results vary between runs\n\n## Questions\n\n### Which is better for AI agents, Agent Development Kit (ADK) or TradingAgents?\n\nAgent Development Kit (ADK) scores 73.6 (BB) on agent readiness against TradingAgents's 64.7 (B), and leads in 5 of 7 scored categories.\n\n### Are Agent Development Kit (ADK) and TradingAgents open source?\n\nYes. Agent Development Kit (ADK) is open source (Apache-2.0). TradingAgents is open source (Apache-2.0).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/google-adk-vs-tradingagents.json, and with the fewest tokens: https://www.anchorterminal.com/compare/google-adk-vs-tradingagents.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"google-adk\", \"b\": \"tradingagents\"}`. From a terminal: `anchor compare google-adk tradingagents`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/google-adk.json and https://www.anchorterminal.com/api/v1/tools/tradingagents.json\n\n## Other comparisons with Agent Development Kit (ADK) or TradingAgents\n\n- [AgentOS vs Agent Development Kit (ADK)](https://www.anchorterminal.com/compare/agentos-vs-google-adk.md)\n- [AgentOS vs TradingAgents](https://www.anchorterminal.com/compare/agentos-vs-tradingagents.md)\n- [Agno vs Agent Development Kit (ADK)](https://www.anchorterminal.com/compare/agno-vs-google-adk.md)\n- [Agno vs TradingAgents](https://www.anchorterminal.com/compare/agno-vs-tradingagents.md)\n- [Claude Agent SDK vs Agent Development Kit (ADK)](https://www.anchorterminal.com/compare/claude-agent-sdk-vs-google-adk.md)\n- [Claude Agent SDK vs TradingAgents](https://www.anchorterminal.com/compare/claude-agent-sdk-vs-tradingagents.md)\n- [CrewAI vs Agent Development Kit (ADK)](https://www.anchorterminal.com/compare/crewai-vs-google-adk.md)\n- [CrewAI vs TradingAgents](https://www.anchorterminal.com/compare/crewai-vs-tradingagents.md)\n- [Docker Agent vs Agent Development Kit (ADK)](https://www.anchorterminal.com/compare/docker-agent-vs-google-adk.md)\n- [Docker Agent vs TradingAgents](https://www.anchorterminal.com/compare/docker-agent-vs-tradingagents.md)\n- [Agent Development Kit (ADK) vs guilds.run](https://www.anchorterminal.com/compare/google-adk-vs-guilds-run.md)\n- [Agent Development Kit (ADK) vs LangGraph](https://www.anchorterminal.com/compare/google-adk-vs-langgraph.md)\n- [Agent Development Kit (ADK) vs Microsoft Agent Framework](https://www.anchorterminal.com/compare/google-adk-vs-microsoft-agent-framework.md)\n- [Agent Development Kit (ADK) vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/google-adk-vs-openai-agents-sdk.md)\n- [Agent Development Kit (ADK) vs Pydantic AI](https://www.anchorterminal.com/compare/google-adk-vs-pydantic-ai.md)\n- [guilds.run vs TradingAgents](https://www.anchorterminal.com/compare/guilds-run-vs-tradingagents.md)\n- [LangGraph vs TradingAgents](https://www.anchorterminal.com/compare/langgraph-vs-tradingagents.md)\n- [Microsoft Agent Framework vs TradingAgents](https://www.anchorterminal.com/compare/microsoft-agent-framework-vs-tradingagents.md)\n- [OpenAI Agents SDK vs TradingAgents](https://www.anchorterminal.com/compare/openai-agents-sdk-vs-tradingagents.md)\n- [Pydantic AI vs TradingAgents](https://www.anchorterminal.com/compare/pydantic-ai-vs-tradingagents.md)\n",
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