{ "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", "dns": "google-adk.grade.anchorterminal.com", "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": "2026-10-23", "graded": true, "anchor": { "graded": true, "score": 68.7, "grade": "B", "agentReady": false, "rank": 273, "ranked": true, "rankOf": 1510, "categoryRank": 13, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 80, "maintenance": 90, "payments": 60, "reliability": 80, "schema": 87, "security": 92, "transparency": 69 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-01" }, "negative": -12, "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", "2026-10-23. CVE-2026-107858 (CVSS 4.0 7.2, high), ADK for Java's development web server accepted cross-origin requests and WebSocket connections from any origin, so a web page a developer visited could drive a locally running agent, trigger its tools and read or delete its sessions and artifacts, in google-adk-dev and the Maven plugin from 0.1.0 before 1.13.0. Fixed in 1.13.0 (21 October) and published by Google as CNA two days later, under two months old, so 2 points, as pydantic-ai's local web UI advisory of 12 August took. https://nvd.nist.gov/vuln/detail/CVE-2026-107858", "2026-10-22. -3, breaking changes in minor releases of a 2.x package without advance notice. google-adk 2.13.0 switches the default telemetry to the OpenTelemetry GenAI v2 schema and stops emitting the `call_llm` span, marked breaking only in the release's own changelog, with an environment variable to keep v1 until at least 31 March 2027. 2.10.0 (24 September) had changed instruction templating and BigQuery protected write mode in the same way, listed as behaviour changes on release day. One term at the floor, as temporal's SDK releases took. https://github.com/google/adk-python/blob/main/CHANGELOG.md" ], "verdict": "Python, TypeScript, Go, Java and Kotlin, with tool confirmation and context compaction built in. Google has published six CVEs against ADK in 2026, three of them critical, one in tool confirmation itself, and minor 2.x releases keep carrying breaking changes.", "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 Python 2.13.0 on 23 October and Java 1.13.0 on 21 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 247 entries with a Markdown version of every page" ], "weaknesses": [ "Six CVEs in 2026, three of them critical, one in tool confirmation itself", "Breaking changes in minor releases (2.6.0, 2.7.0, 2.10.0 and 2.13.0), 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 Python 2.7.0 or later and Java 1.13.0 or later, which fix the adk web code-injection CVE, the tool-confirmation forgery and the Java dev server's cross-origin flaw", "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", "Set `ADK_TELEMETRY_SCHEMA_VERSION_OPT_IN=otel_semconv_1_36` on 2.13.0 or later if dashboards or alerts read the `call_llm` span" ], "metrics": { "kind": "library", "measured": false }, "reviewCount": 8, "avgRating": 3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 68.7 } ], "editorialScores": { "ergonomics": 80, "maintenance": 90, "payments": 60, "reliability": 80, "schema": 87, "security": 92, "transparency": 67 }, "provenanceScore": 70, "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": "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", "vertex-ai", "gemini-embedding", "vertex-ai-tuning", "cloud-run-gpus", "google-model-armor", "google-imagen", "google-veo", "google-lyria", "google-speech-to-text", "google-cloud-tts", "gemini-live", "google-memory-bank", "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-cloud-storage", "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": 70 }, "requirements": { "setupChecked": true, "complianceChecked": true, "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": "2026-11-06T23:28:55.222598494Z" }, { "registry": "npm", "name": "@google/adk", "version": "2.4.0", "seenAt": "2026-11-06T23:28:55.002701153Z" }, { "registry": "pypi", "name": "google-adk", "version": "2.13.0", "released": "2026-10-23", "seenAt": "2026-11-06T23:28:54.815546694Z" } ], "githubStars": 22126, "npmWeekly": 324165, "pypiWeekly": 2532189, "securityTxt": { "url": "https://adk.dev/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-07T16:00:48.394885079Z" }, "llmsTxt": { "url": "https://adk.dev/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-07T15:32:37.318647019Z" }, "domain": { "domain": "adk.dev", "registered": "2019-02-28", "source": "https://pubapi.registry.google/rdap/domain/adk.dev", "checkedAt": "2026-11-01T14:09:45.874929794Z" }, "pages": [ { "url": "https://raw.githubusercontent.com/google/adk-python/main/CHANGELOG.md", "kind": "deprecations", "status": 200, "checkedAt": "2026-11-07T14:21:12.002076689Z", "changedAt": "2026-11-07T14:21:12.002076689Z", "fingerprint": "dec9e098fc26" } ], "github": { "repo": "google/adk-python", "checkedAt": "2026-11-02T08:51:58.470038349Z", "stars": 22081, "archived": false, "issuesEnabled": true, "pushedAt": "2026-11-02T08:37:05Z", "openIssues": 202, "openPRs": 239, "issuesOpened90d": 471, "issuesClosed90d": 606, "prsMerged90d": 58, "ci": { "branch": "main", "runs": 50, "success": 26, "failure": 24, "other": 0, "latest": "success", "latestAt": "2026-11-02T08:37:16Z" }, "replies": { "sampled": 13, "unanswered": 9, "medianDays": 0.4 } }, "updatedAt": "2026-11-07T16:00:48.394885079Z" } }, "answer": "LlamaIndex Framework scores 70 (BB) on agent readiness against Agent Development Kit (ADK)'s 68.7 (B), and leads in 0 of 7 scored categories. Agent Development Kit (ADK) leads on reliability, agent ergonomics, security \u0026 auth and maintenance \u0026 community.", "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": 21, "category": "maintenance", "leads": "google-adk", "name": "Maintenance \u0026 community", "reasons": { "a": "2.13.0 on 2026-10-23 (30). 15 Python releases in the 90 days from 3 August across the 1.x and 2.x lines, from 2.6.2 to 2.13.0, the newest 1.x being 1.39.1 on 2026-08-27 (20). 300 open issues and 261 open pull requests per the 1 October check, and we couldn't see reply times (15). Python is current, @google/adk is at 2.4.0 on npm, the Go module at v1.9.0 (tagged 15 October) and the Java artefact at 1.13.0 (21 October) (15). CI passes per the 1 October check, and 2.7.0 fixed zizmor findings in the workflows (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": 90, "b": 69 } }, { "by": 18, "category": "security", "leads": "google-adk", "name": "Security \u0026 auth", "reasons": { "a": "We found no usage telemetry in the docs or the Python source, and capturing message content in traces is opt-in (30). Tool confirmation for human approval, extended to workflow tool nodes in 2.11.0 and to any workflow node through `require_confirmation` in 2.12.0, the docs say to always pass tool_filter to McpToolset, 2.12.0 limits the mutating /dev and agent builder endpoints of adk web to local clients by default, and sandboxed code execution is recommended for model-written code (20). Before-tool callbacks, an after_tool_callback that screens tool output since 2.12.0, plugins, a Model Armor plugin, an optional ToolCallIntegrityPlugin since 2.11.0, and a safety page that covers indirect prompt injection through tool results (15). OpenTelemetry traces with Cloud Trace and about 20 third-party integrations (15). SECURITY.md routes reports to Google's g.co/vulnz with a one-day triage target, per the 1 October check, not re-read on 1 November (the repository still has no SECURITY.md file and GitHub's security page answered 403). Google as CNA has published six 2026 CVEs with fixed versions, the newest on 23 and 28 October, but there are no repository advisories and no bounty is mentioned in the policy (12). Framework reading, so SOC 2 isn't scored.", "b": "Framework reading (telemetry defaults, approvals, guardrails, sandboxing). No telemetry found in llama-index-core (25). Human-in-the-loop events in Workflows and agents can wait for a person, but there's no per-tool approval primitive and CodeActAgent's executor is the developer's to supply (12). The threat model puts input validation on the application, with no prompt-injection guidance in the agent pages (5). Instrumentation events and callback handlers for tracing (14). A huntr bug bounty, GitHub private reporting and public advisories with fixed versions (18). 25+12+5+14+18 = 74." }, "scores": { "a": 92, "b": 74 } }, { "by": 10, "category": "reliability", "leads": "google-adk", "name": "Reliability", "reasons": { "a": "Official packages on PyPI (Requires-Python \u003e=3.11 since 2.12.0, constraint files for 3.11 to 3.15) and npm (20). The continuous-integration workflow passes on main, per the 1 October check, not re-read on 1 November (25). 300 open issues and 261 open pull requests, per the 1 October check, not re-read on 1 November (12). The changelog calls out breaking changes, but they keep shipping in minor releases of a post-1.0 package (2.6.0 on 2026-07-29 and 2.7.0 on 2026-08-13), 2.12.0 on 2026-10-13 dropped Python 3.10 with no line in its changelog, and 2.8.0 reverted an A2A guard that had broken every tool confirmation. On 8 October the changelog relabelled the 2.11.0 dev UI config change a bug fix and the 2.9.0 resumption changes behaviour changes. 2.13.0 (22 October) marks one more breaking change, the telemetry schema default, in a minor release (8). 2.12.0, 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": 80, "b": 70 } }, { "by": 7, "category": "ergonomics", "leads": "google-adk", "name": "Agent ergonomics", "reasons": { "a": "An agent with one MCP server is about 15 lines with the built-in McpToolset, and tool_filter limits which tools load, with no dynamic filtering or deferred loading that we saw (20). RunConfig caps model calls per run, and the context compression page documents token-based and sliding-window compaction through EventsCompactionConfig, plus context caching (20). No exception reference or MCP error handling documented (5). Invocations are resumable, model calls take retry options, and 2.11.0 adds an abort_signal for graceful cancellation (20). An agent needs a name, a model and an instruction, in Python, TypeScript, Go, Java or Kotlin (15).", "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": 80, "b": 73 } } ], "facts": [ { "a": "Agent framework", "b": "Agent framework", "name": "Kind" }, { "a": "Google", "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": "2026-10-23", "b": "2026-09-21", "name": "Last release" }, { "a": "no document linked", "b": "no document linked", "name": "Terms last updated" }, { "a": "2026-10-01", "b": "2026-08-24", "name": "Privacy policy last updated" }, { "a": "yes", "b": "not read yet", "name": "Customer content may train models" }, { "a": "22k stars", "b": "53k stars, 1.3M PyPI/wk", "name": "Popularity" }, { "a": "3/5 (8)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "LlamaIndex Framework scores 70 (BB) on agent readiness against Agent Development Kit (ADK)'s 68.7 (B), and leads in 0 of 7 scored categories. Agent Development Kit (ADK) leads on reliability, agent ergonomics, security \u0026 auth and maintenance \u0026 community.", "question": "Which is better for AI agents, Agent Development Kit (ADK) or LlamaIndex Framework?" }, { "answer": "Yes. Agent Development Kit (ADK) is open source (Apache-2.0). LlamaIndex Framework is open source (MIT).", "question": "Are Agent Development Kit (ADK) and LlamaIndex Framework open source?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 80 against 70", "Agent ergonomics, 80 against 73", "Security \u0026 auth, 92 against 74", "Maintenance \u0026 community, 90 against 69" ], "also": null, "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", "watchFor": "Six CVEs in 2026, three of them critical, one in tool confirmation itself" }, { "aheadOn": null, "also": [ "Agent-ready, a grade of BB or better" ], "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": { "google-adk": [ { "causes": [ "event" ], "date": "2026-11-01", "delta": -5, "from": 73.7, "fromGrade": "BB", "to": 68.7, "toGrade": "B" }, { "causes": [ "method" ], "date": "2026-10-27", "delta": 0.1, "from": 73.6, "fromGrade": "BB", "to": 73.7, "toGrade": "BB" }, { "causes": [ "evidence", "event" ], "date": "2026-10-17", "delta": -1.1, "from": 74.7, "fromGrade": "BB", "to": 73.6, "toGrade": "BB" } ], "llamaindex": null }, "job": { "capability": "agent.framework", "name": "Agent frameworks" }, "others": [ { "json": "https://www.anchorterminal.com/compare/agentos-vs-google-adk.json", "title": "AgentOS vs Agent Development Kit (ADK)", "url": "https://www.anchorterminal.com/compare/agentos-vs-google-adk" }, { "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-google-adk.json", "title": "Agno vs Agent Development Kit (ADK)", "url": "https://www.anchorterminal.com/compare/agno-vs-google-adk" }, { "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-google-adk.json", "title": "BoxLang AI vs Agent Development Kit (ADK)", "url": "https://www.anchorterminal.com/compare/boxlang-ai-vs-google-adk" }, { "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-google-adk.json", "title": "Claude Agent SDK vs Agent Development Kit (ADK)", "url": "https://www.anchorterminal.com/compare/claude-agent-sdk-vs-google-adk" }, { "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-google-adk.json", "title": "CrewAI vs Agent Development Kit (ADK)", "url": "https://www.anchorterminal.com/compare/crewai-vs-google-adk" }, { "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-google-adk.json", "title": "Cursor Agent SDK vs Agent Development Kit (ADK)", "url": "https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-google-adk" }, { "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-llamaindex.json", "title": "Docker Agent vs LlamaIndex Framework", "url": "https://www.anchorterminal.com/compare/docker-agent-vs-llamaindex" }, { "json": "https://www.anchorterminal.com/compare/google-adk-vs-guilds-run.json", "title": "Agent Development Kit (ADK) vs guilds.run", "url": "https://www.anchorterminal.com/compare/google-adk-vs-guilds-run" }, { "json": "https://www.anchorterminal.com/compare/google-adk-vs-langgraph.json", "title": "Agent Development Kit (ADK) vs LangGraph", "url": "https://www.anchorterminal.com/compare/google-adk-vs-langgraph" }, { "json": "https://www.anchorterminal.com/compare/google-adk-vs-mastra.json", "title": "Agent Development Kit (ADK) vs Mastra", "url": "https://www.anchorterminal.com/compare/google-adk-vs-mastra" }, { "json": "https://www.anchorterminal.com/compare/google-adk-vs-microsoft-agent-framework.json", "title": "Agent Development Kit (ADK) vs Microsoft Agent Framework", "url": "https://www.anchorterminal.com/compare/google-adk-vs-microsoft-agent-framework" }, { "json": "https://www.anchorterminal.com/compare/google-adk-vs-openai-agents-sdk.json", "title": "Agent Development Kit (ADK) vs OpenAI Agents SDK", "url": "https://www.anchorterminal.com/compare/google-adk-vs-openai-agents-sdk" }, { "json": "https://www.anchorterminal.com/compare/google-adk-vs-pydantic-ai.json", "title": "Agent Development Kit (ADK) vs Pydantic AI", "url": "https://www.anchorterminal.com/compare/google-adk-vs-pydantic-ai" }, { "json": "https://www.anchorterminal.com/compare/google-adk-vs-smolagents.json", "title": "Agent Development Kit (ADK) vs smolagents", "url": "https://www.anchorterminal.com/compare/google-adk-vs-smolagents" }, { "json": "https://www.anchorterminal.com/compare/google-adk-vs-strands-agents.json", "title": "Agent Development Kit (ADK) vs Strands Agents", "url": "https://www.anchorterminal.com/compare/google-adk-vs-strands-agents" }, { "json": "https://www.anchorterminal.com/compare/google-adk-vs-tradingagents.json", "title": "Agent Development Kit (ADK) vs TradingAgents", "url": "https://www.anchorterminal.com/compare/google-adk-vs-tradingagents" }, { "json": "https://www.anchorterminal.com/compare/google-adk-vs-vercel-ai-sdk.json", "title": "Agent Development Kit (ADK) vs AI SDK", "url": "https://www.anchorterminal.com/compare/google-adk-vs-vercel-ai-sdk" }, { "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": 10, "edge": "google-adk", "google-adk": 80, "key": "reliability", "llamaindex": 70, "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 2, "edge": "google-adk", "google-adk": 87, "key": "schema", "llamaindex": 85, "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 7, "edge": "google-adk", "google-adk": 80, "key": "ergonomics", "llamaindex": 73, "name": "Agent ergonomics", "weight": 13 }, { "by": 18, "edge": "google-adk", "google-adk": 92, "key": "security", "llamaindex": 74, "name": "Security \u0026 auth", "weight": 14 }, { "by": 0, "edge": "", "google-adk": 60, "key": "payments", "llamaindex": 60, "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 21, "edge": "google-adk", "google-adk": 90, "key": "maintenance", "llamaindex": 69, "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 2, "edge": "google-adk", "google-adk": 69, "key": "transparency", "llamaindex": 67, "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "LlamaIndex Framework scores 70 (BB) on agent readiness against Agent Development Kit (ADK)'s 68.7 (B), and leads in 0 of 7 scored categories. Agent Development Kit (ADK) leads on reliability, agent ergonomics, security \u0026 auth and maintenance \u0026 community. Both do agent frameworks.", "tasks": null, "tutorials": [], "verdicts": { "google-adk": "Python, TypeScript, Go, Java and Kotlin, with tool confirmation and context compaction built in. Google has published six CVEs against ADK in 2026, three of them critical, one in tool confirmation itself, and minor 2.x releases keep carrying breaking changes.", "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/google-adk-vs-llamaindex", "json": "https://www.anchorterminal.com/compare/google-adk-vs-llamaindex.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/google-adk-vs-llamaindex.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/google-adk-vs-llamaindex.min.md" }, "markdown": "LlamaIndex Framework scores 70 (BB) on agent readiness against Agent Development Kit (ADK)'s 68.7 (B), and leads in 0 of 7 scored categories. Agent Development Kit (ADK) leads on reliability, agent ergonomics, security \u0026 auth and maintenance \u0026 community. Both do agent frameworks.\n\n- Agent Development Kit (ADK): grade B, 68.7/100, rank #273 of 1510. Markdown https://www.anchorterminal.com/tools/google-adk.md · JSON https://www.anchorterminal.com/api/v1/tools/google-adk.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### Agent Development Kit (ADK) (B)\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 70\n- Agent ergonomics, 80 against 73\n- Security \u0026 auth, 92 against 74\n- Maintenance \u0026 community, 90 against 69\n\nWatch for: Six CVEs in 2026, three of them critical, one in tool confirmation itself\n\n### LlamaIndex Framework (BB)\n\nGood for: Python teams building retrieval-heavy agents over their own data, with many connectors.\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\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: Agent Development Kit (ADK) +21\n\n- Agent Development Kit (ADK) (90): 2.13.0 on 2026-10-23 (30). 15 Python releases in the 90 days from 3 August across the 1.x and 2.x lines, from 2.6.2 to 2.13.0, the newest 1.x being 1.39.1 on 2026-08-27 (20). 300 open issues and 261 open pull requests per the 1 October check, and we couldn't see reply times (15). Python is current, @google/adk is at 2.4.0 on npm, the Go module at v1.9.0 (tagged 15 October) and the Java artefact at 1.13.0 (21 October) (15). CI passes per the 1 October check, and 2.7.0 fixed zizmor findings in the workflows (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### Security \u0026 auth: Agent Development Kit (ADK) +18\n\n- Agent Development Kit (ADK) (92): We found no usage telemetry in the docs or the Python source, and capturing message content in traces is opt-in (30). Tool confirmation for human approval, extended to workflow tool nodes in 2.11.0 and to any workflow node through `require_confirmation` in 2.12.0, the docs say to always pass tool_filter to McpToolset, 2.12.0 limits the mutating /dev and agent builder endpoints of adk web to local clients by default, and sandboxed code execution is recommended for model-written code (20). Before-tool callbacks, an after_tool_callback that screens tool output since 2.12.0, plugins, a Model Armor plugin, an optional ToolCallIntegrityPlugin since 2.11.0, and a safety page that covers indirect prompt injection through tool results (15). OpenTelemetry traces with Cloud Trace and about 20 third-party integrations (15). SECURITY.md routes reports to Google's g.co/vulnz with a one-day triage target, per the 1 October check, not re-read on 1 November (the repository still has no SECURITY.md file and GitHub's security page answered 403). Google as CNA has published six 2026 CVEs with fixed versions, the newest on 23 and 28 October, but there are no repository advisories and no bounty is mentioned in the policy (12). Framework reading, so SOC 2 isn't scored.\n- LlamaIndex Framework (74): Framework reading (telemetry defaults, approvals, guardrails, sandboxing). No telemetry found in llama-index-core (25). Human-in-the-loop events in Workflows and agents can wait for a person, but there's no per-tool approval primitive and CodeActAgent's executor is the developer's to supply (12). The threat model puts input validation on the application, with no prompt-injection guidance in the agent pages (5). Instrumentation events and callback handlers for tracing (14). A huntr bug bounty, GitHub private reporting and public advisories with fixed versions (18). 25+12+5+14+18 = 74.\n\n### Reliability: Agent Development Kit (ADK) +10\n\n- Agent Development Kit (ADK) (80): Official packages on PyPI (Requires-Python \u003e=3.11 since 2.12.0, constraint files for 3.11 to 3.15) and npm (20). The continuous-integration workflow passes on main, per the 1 October check, not re-read on 1 November (25). 300 open issues and 261 open pull requests, per the 1 October check, not re-read on 1 November (12). The changelog calls out breaking changes, but they keep shipping in minor releases of a post-1.0 package (2.6.0 on 2026-07-29 and 2.7.0 on 2026-08-13), 2.12.0 on 2026-10-13 dropped Python 3.10 with no line in its changelog, and 2.8.0 reverted an A2A guard that had broken every tool confirmation. On 8 October the changelog relabelled the 2.11.0 dev UI config change a bug fix and the 2.9.0 resumption changes behaviour changes. 2.13.0 (22 October) marks one more breaking change, the telemetry schema default, in a minor release (8). 2.12.0, 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### Agent ergonomics: Agent Development Kit (ADK) +7\n\n- Agent Development Kit (ADK) (80): An agent with one MCP server is about 15 lines with the built-in McpToolset, and tool_filter limits which tools load, with no dynamic filtering or deferred loading that we saw (20). RunConfig caps model calls per run, and the context compression page documents token-based and sliding-window compaction through EventsCompactionConfig, plus context caching (20). No exception reference or MCP error handling documented (5). Invocations are resumable, model calls take retry options, and 2.11.0 adds an abort_signal for graceful cancellation (20). An agent needs a name, a model and an instruction, in Python, TypeScript, Go, Java or Kotlin (15).\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## Score by category\n\n| Category | Weight | Agent Development Kit (ADK) | LlamaIndex Framework | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 80 | 70 | Agent Development Kit (ADK) +10 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 87 | 85 | Agent Development Kit (ADK) +2 |\n| Agent ergonomics | 13% (16.2 this run) | 80 | 73 | Agent Development Kit (ADK) +7 |\n| Security \u0026 auth | 14% (17.5 this run) | 92 | 74 | Agent Development Kit (ADK) +18 |\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 | 69 | Agent Development Kit (ADK) +21 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 69 | 67 | Agent Development Kit (ADK) +2 |\n| Negative events | ≤15 | -12 | -2 | |\n| **Total** | | **68.7 · B** | **70 · BB** | |\n\n## Facts side by side\n\n| Fact | Agent Development Kit (ADK) | LlamaIndex Framework |\n| --- | --- | --- |\n| Kind | Agent framework | Agent framework |\n| Vendor | Google | 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 | 2026-10-23 | 2026-09-21 |\n| Terms last updated | no document linked | no document linked |\n| Privacy policy last updated | 2026-10-01 | 2026-08-24 |\n| Customer content may train models | yes | not read yet |\n| Popularity | 22k stars | 53k stars, 1.3M PyPI/wk |\n| Agent reviews | 3/5 (8) | none |\n\n## How the scores have moved\n\n### Agent Development Kit (ADK)\n\n- -5.0 on 1 November 2026 (BB to B): negative event\n- +0.1 on 27 October 2026: checklist\n- -1.1 on 17 October 2026: new evidence, negative event\n\n### LlamaIndex Framework\n\nNo score change since it was listed.\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 six CVEs against ADK in 2026, three of them critical, one in tool confirmation itself, and minor 2.x releases keep carrying breaking changes.\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### Agent Development Kit (ADK)\n\n1. Run Python 2.7.0 or later and Java 1.13.0 or later, which fix the adk web code-injection CVE, the tool-confirmation forgery and the Java dev server's cross-origin flaw\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\n6. Set `ADK_TELEMETRY_SCHEMA_VERSION_OPT_IN=otel_semconv_1_36` on 2.13.0 or later if dashboards or alerts read the `call_llm` span\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, Agent Development Kit (ADK) or LlamaIndex Framework?\n\nLlamaIndex Framework scores 70 (BB) on agent readiness against Agent Development Kit (ADK)'s 68.7 (B), and leads in 0 of 7 scored categories. Agent Development Kit (ADK) leads on reliability, agent ergonomics, security \u0026 auth and maintenance \u0026 community.\n\n### Are Agent Development Kit (ADK) and LlamaIndex Framework open source?\n\nYes. Agent Development Kit (ADK) 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/google-adk-vs-llamaindex.json, and with the fewest tokens: https://www.anchorterminal.com/compare/google-adk-vs-llamaindex.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"google-adk\", \"b\": \"llamaindex\"}`. From a terminal: `anchor compare google-adk llamaindex`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/google-adk.json and https://www.anchorterminal.com/api/v1/tools/llamaindex.json\n\n## Other comparisons with Agent Development Kit (ADK) or LlamaIndex Framework\n\n- [AgentOS vs Agent Development Kit (ADK)](https://www.anchorterminal.com/compare/agentos-vs-google-adk.md)\n- [AgentOS vs LlamaIndex Framework](https://www.anchorterminal.com/compare/agentos-vs-llamaindex.md)\n- [Agno vs Agent Development Kit (ADK)](https://www.anchorterminal.com/compare/agno-vs-google-adk.md)\n- [Agno vs LlamaIndex Framework](https://www.anchorterminal.com/compare/agno-vs-llamaindex.md)\n- [BoxLang AI vs Agent Development Kit (ADK)](https://www.anchorterminal.com/compare/boxlang-ai-vs-google-adk.md)\n- [BoxLang AI vs LlamaIndex Framework](https://www.anchorterminal.com/compare/boxlang-ai-vs-llamaindex.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 LlamaIndex Framework](https://www.anchorterminal.com/compare/claude-agent-sdk-vs-llamaindex.md)\n- [CrewAI vs Agent Development Kit (ADK)](https://www.anchorterminal.com/compare/crewai-vs-google-adk.md)\n- [CrewAI vs LlamaIndex Framework](https://www.anchorterminal.com/compare/crewai-vs-llamaindex.md)\n- [Cursor Agent SDK vs Agent Development Kit (ADK)](https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-google-adk.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 LlamaIndex Framework](https://www.anchorterminal.com/compare/docker-agent-vs-llamaindex.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 Mastra](https://www.anchorterminal.com/compare/google-adk-vs-mastra.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- [Agent Development Kit (ADK) vs smolagents](https://www.anchorterminal.com/compare/google-adk-vs-smolagents.md)\n- [Agent Development Kit (ADK) vs Strands Agents](https://www.anchorterminal.com/compare/google-adk-vs-strands-agents.md)\n- [Agent Development Kit (ADK) vs TradingAgents](https://www.anchorterminal.com/compare/google-adk-vs-tradingagents.md)\n- [Agent Development Kit (ADK) vs AI SDK](https://www.anchorterminal.com/compare/google-adk-vs-vercel-ai-sdk.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": 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