{ "data": { "a": { "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" } }, "answer": "Mastra scores 74.2 (BB) on agent readiness against LlamaIndex Framework's 70 (BB), and leads in 5 of 7 scored categories. LlamaIndex Framework leads on security \u0026 auth.", "b": { "slug": "mastra", "name": "Mastra", "vendor": "Kepler Software, Inc.", "vendorUrl": "https://mastra.ai", "kind": "framework", "category": "frameworks", "summary": "Open-source TypeScript framework from Mastra for building agents and workflows, with memory, RAG, evals, tracing, an MCP client and server, and a local Studio. An optional hosted platform runs deployments and observability.", "url": "https://www.anchorterminal.com/tools/mastra", "markdownUrl": "https://www.anchorterminal.com/tools/mastra.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/mastra.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/mastra.json", "dns": "mastra.grade.anchorterminal.com", "repo": "https://github.com/mastra-ai/mastra", "license": "Apache-2.0 for the core. Code under ee/ directories is source-available under the Mastra Enterprise License, free for development and testing", "transports": [], "packages": [ { "registry": "npm", "name": "@mastra/core" }, { "registry": "npm", "name": "@mastra/mcp" }, { "registry": "npm", "name": "mastra" } ], "auth": "api-key", "authNotes": "The framework has no account of its own. The model router takes `provider/model` strings and each provider's own key. The hosted Mastra platform needs an account.", "pricing": "free", "pricingNotes": "Free and open source. You pay for model calls. The hosted platform has a $0 Starter plan with 100K observability events and 24 CPU hours, then $10 per 100K events and $0.35 a CPU hour, and Teams at $250 a month (https://mastra.ai/pricing, checked 2026-11-06).", "priceSummary": "Free · OSS", "where": "library", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the Mastra docs, the repository or the pricing page (checked 2026-10-06).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 29383, "npmWeekly": 3116983, "pypiWeekly": null, "asOf": "2026-11-06" }, "docsUrl": "https://mastra.ai/docs", "llmsTxt": "https://mastra.ai/llms.txt", "capabilities": [ "agent.framework", "agent.durable", "agent.mcp-client", "agent.multi-agent" ], "tags": [ "framework", "typescript", "open-source", "llms-txt", "mcp", "telemetry-default-on" ], "lastRelease": "2026-11-04", "graded": true, "anchor": { "graded": true, "score": 74.2, "grade": "BB", "agentReady": true, "rank": 91, "ranked": true, "rankOf": 1510, "categoryRank": 7, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 92, "maintenance": 96, "payments": 60, "reliability": 87, "schema": 98, "security": 67, "transparency": 72 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-06" }, "negative": -8, "negativeNotes": [ "2026-06-17. Malicious versions of Mastra's npm packages were published, among them @mastra/core 1.42.1 at 01:15 UTC, and GitHub malware advisories that day (GHSA-pp62-grrw-hvfp and others) say any machine that installed one should be treated as fully compromised. All 21 Mastra packages we checked on OSV carry one. Mastra published clean versions the same day and the changelogs name an \"easy-day-js\" supply-chain incident, but we found no advisory or post-mortem from Mastra. Fixed and under four months old, so 8 points. https://osv.dev/vulnerability/MAL-2026-6011" ], "verdict": "A TypeScript framework with agents, workflows with suspend and resume, memory, an MCP client and server, per-server tool approval and built-in guardrail processors including a prompt-injection detector. On 17 June 2026 malicious versions of its npm packages were published, and the CLI, server and Studio send usage analytics by default, with token counts every 15 minutes.", "bestFor": "TypeScript teams that want agents, workflows, memory, evals and a local Studio in one framework.", "strengths": [ "MCP client with requireToolApproval per server or per tool, allowedHosts and a curated environment for stdio servers", "Guardrail processors for prompt injection, PII, moderation and cost limits, run on input and output", "Workflows with snapshots, suspend and resume, and durable agents on Inngest or an evented engine", "Apache 2.0 core, 1.0 since 20 January 2026, with 27 releases of @mastra/core in 90 days to 6 November", "llms.txt with a when-to-use section and condensed instructions for coding agents" ], "weaknesses": [ "Malicious versions of Mastra npm packages, including @mastra/core 1.42.1, were published on 17 June 2026", "CLI, server and Studio send usage analytics by default, including token counts every 15 minutes, off with MASTRA_TELEMETRY_DISABLED=1", "No SECURITY.md, no security.txt and no bug bounty found", "Code under ee/ is source-available under the Mastra Enterprise License, not Apache 2.0", "TypeScript only, Node 22.13 or newer" ], "agentNotes": [ "Set MASTRA_TELEMETRY_DISABLED=1 in every environment that runs the CLI, the server or Studio", "Pin exact versions with a lockfile, and make sure no 17 June 2026 release such as @mastra/core 1.42.1 is installed", "Set requireToolApproval on MCP servers that write, and allowedHosts when server URLs come from configuration", "Add PromptInjectionDetector as an input processor when tools return web or user content", "Use supervisor agents through generate() or stream(). `.network()` is deprecated" ], "metrics": { "kind": "library", "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": 74.2 } ], "editorialScores": { "ergonomics": 92, "maintenance": 96, "payments": 60, "reliability": 87, "schema": 98, "security": 67, "transparency": 72 }, "provenanceScore": 71, "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": "npm create mastra@latest # or: npm i @mastra/core @mastra/mcp" }, "letme": { "capability": "https://letme.dev/agent.framework", "tool": "https://letme.dev/mastra" }, "area": "frameworks", "provenance": { "legalEntity": "Kepler Software, Inc.", "domain": "mastra.ai", "domainRegistered": "2024-10-01", "endpointOnVendorDomain": null, "terms": "https://mastra.ai/terms-of-service", "privacy": "https://mastra.ai/privacy-policy", "statusPage": "https://statuspage.incident.io/mastra-platform", "changelog": "https://github.com/mastra-ai/mastra/blob/main/packages/core/CHANGELOG.md", "securityTxt": "none", "checked": "2026-11-06", "notes": [ "The privacy policy names Kepler Software Inc as operator of mastra.ai and shows a last-published date of 25 April 2025.", "The licence file is copyright Kepler Software, Inc.", "mastra.ai/.well-known/security.txt returns 404 (rechecked 6 November 2026), and the repository has no SECURITY.md.", "RDAP gives mastra.ai a registration date of 2024-10-01.", "The status page covers the hosted platform, not the framework." ], "score": 71 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/mastra.json", "live": { "slug": "mastra", "vendorStatus": { "page": "https://statuspage.incident.io/mastra-platform", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-11-07T19:22:27.41396844Z" }, "versions": [ { "registry": "github", "name": "mastra-ai/mastra", "version": "@mastra/core@1.82.0", "released": "2026-11-04", "seenAt": "2026-11-06T23:43:05.299046627Z" }, { "registry": "npm", "name": "@mastra/core", "version": "1.82.0", "seenAt": "2026-11-06T23:43:01.102546802Z" }, { "registry": "npm", "name": "@mastra/mcp", "version": "2.8.0", "seenAt": "2026-11-06T23:43:01.962943277Z" }, { "registry": "npm", "name": "mastra", "version": "1.38.0", "seenAt": "2026-11-06T23:43:03.330470883Z" } ], "githubStars": 29384, "npmWeekly": 3116983, "securityTxt": { "url": "https://mastra.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-07T16:00:45.130857018Z" }, "llmsTxt": { "url": "https://mastra.ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-07T15:32:57.501317652Z" }, "pages": [ { "url": "https://raw.githubusercontent.com/mastra-ai/mastra/main/packages/core/CHANGELOG.md", "kind": "changelog", "status": 200, "checkedAt": "2026-11-07T14:21:37.959722321Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "0bdb3498f7aa" }, { "url": "https://mastra.ai/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-11-07T14:13:54.312763229Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "0204673a21a8" }, { "url": "https://mastra.ai/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-11-07T14:13:56.829832485Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "1621ce3063d8" }, { "url": "https://mastra.ai/terms-of-service", "kind": "terms", "status": 200, "checkedAt": "2026-11-07T14:13:58.580048861Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "edbcf520f26c" } ], "updatedAt": "2026-11-07T19:22:27.41396844Z" } }, "edges": [ { "by": 27, "category": "maintenance", "leads": "mastra", "name": "Maintenance \u0026 community", "reasons": { "a": "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.", "b": "@mastra/core 1.82.0 on 2026-11-04 (30). 27 stable releases in the 90 days to 6 November, 8 of them since 6 October (20). 436 open issues on 6 November, all 50 newest issues commented and 24 of them closed (22). Client, MCP and store packages are current, and @mastra/mcp 1.x stays supported beside 2.x (15). Renovate and CI configured, with the newest runs on main passing (9). 30+20+22+15+9 = 96." }, "scores": { "a": 69, "b": 96 } }, { "by": 19, "category": "ergonomics", "leads": "mastra", "name": "Agent ergonomics", "reasons": { "a": "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.", "b": "An MCP client in about ten lines with listTools() for static or listToolsets() for per-request tools, and ToolSearchProcessor for loading tools on demand (25). Step limits, memory windows and processors such as a token limiter control what reaches the model (20). MastraError with ids and categories, and processors can abort with a reason the caller can read (17). Workflow step retries, snapshots and durable agents for resuming (20). create-mastra scaffolds a project and the model router takes a plain string, but it's TypeScript only (10)." }, "scores": { "a": 73, "b": 92 } }, { "by": 17, "category": "reliability", "leads": "mastra", "name": "Reliability", "reasons": { "a": "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.", "b": "Official npm packages, Node 22.13 or newer (20). Public CI workflows for unit, store, workspace and e2e tests; on 6 November the newest runs on main (Version Packages, Trigger Cloud Integration Tests) succeeded, while the test workflows themselves run on pull requests (22). 436 open issues and 795 open issues and pull requests on 6 November from GitHub's API, with 2,077 issues opened in the 90 days to 3 November; all 50 newest had a comment and 24 were closed, with issue-triage automation (18). A changesets CHANGELOG per package, a CI gate that needs approval for any major bump and migration guides, but no written versioning policy found, and `.network()` is deprecated without a removal date (12). 1.82.0 (15). 20+22+18+12+15 = 87, up from 74 on 6 October, when GitHub couldn't be read." }, "scores": { "a": 70, "b": 87 } }, { "by": 13, "category": "schema", "leads": "mastra", "name": "Schema \u0026 documentation", "reasons": { "a": "Framework reading. A typed Python API with a generated reference (22). llms.txt indexing the framework docs, plus a docs search API and an MCP server for the docs (10). The agents guide says what each agent class is for, and the MCP page lists the three ways to use MCP (15). Tools are typed from function signatures and Pydantic models (13). Many examples and notebooks, few documented error types (10). Dated changelog (15). 22+10+15+13+10+15 = 85.", "b": "Typed TypeScript API with a reference section (25). llms.txt with a when-to-use list and condensed instructions for coding agents (10). The docs say when to use durable agents, and point multi-agent users from `.network()` to supervisor agents (20). Tools take Zod schemas (15). Examples on every page, and MastraError with ids and categories documented, though errors are spread across pages (13). Per-package changelogs and migration guides (15)." }, "scores": { "a": 85, "b": 98 } }, { "by": 7, "category": "security", "leads": "llamaindex", "name": "Security \u0026 auth", "reasons": { "a": "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.", "b": "The CLI sends PostHog analytics, server startup sends token counts per model and a count of registered agents, tools and MCP servers, and Studio sends browser analytics, all on by default and documented, with one opt-out, MASTRA_TELEMETRY_DISABLED=1. Since #26986 (16 October 2026) each server process also reports token use per provider and model every 15 minutes, and the telemetry reference read on 6 November says server events carry a project identifier that is a raw Platform UUID or a hash of the Git origin remote, so they \"aren't anonymous\" (12). requireToolApproval on agents and MCP servers, allowedHosts for MCP HTTP, a curated environment for stdio servers, and sandboxed workspaces (20). PromptInjectionDetector, PII and moderation processors, and docs that call tool results untrusted model input (15). Built-in tracing with OpenTelemetry and other exporters (15). No SECURITY.md, no security.txt and no bug bounty found. A blog post says Mastra is SOC 2 Type II audited, which isn't scored for a framework, and we found no public advisory from Mastra about the June incident (5). Framework reading. 15+20+15+15+5 = 70 on 6 October, 12+20+15+15+5 = 67 on 6 November." }, "scores": { "a": 74, "b": 67 } }, { "by": 5, "category": "transparency", "leads": "mastra", "name": "Transparency \u0026 trust", "reasons": { "a": "MIT (30). The library stores nothing itself; OpenAI is the default provider unless changed, which the docs show (20). A stale-package policy and removals noted in the changelog, such as deprecated IPEX integrations removed in 0.14.25, without dated notice (10). No telemetry, though no page states it (12). 30+20+10+12 = 72.", "b": "Apache 2.0 for the core, with ee/ directories source-available under the Mastra Enterprise License (25). The privacy policy (last published 25 April 2025) covers the website, the Teams plan states six months' retention, and the subprocessor list sits in a trust centre our reader couldn't render (15). Migration guides and deprecation warnings, without dated removal windows (12). Every telemetry stream is documented with links to its source and one opt-out, and the reference now spells out what the project identifiers can be correlated with (20)." }, "scores": { "a": 67, "b": 72 } } ], "facts": [ { "a": "Agent framework", "b": "Agent framework", "name": "Kind" }, { "a": "LlamaIndex", "b": "Kepler Software, Inc.", "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": "MIT", "b": "Apache-2.0 for the core. Code under ee/ directories is source-available under the Mastra Enterprise License, free for development and testing", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-09-21", "b": "2026-11-04", "name": "Last release" }, { "a": "no document linked", "b": "2026-10-26", "name": "Terms last updated" }, { "a": "2026-08-24", "b": "no date given", "name": "Privacy policy last updated" }, { "a": "not read yet", "b": "yes", "name": "Customer content may train models" }, { "a": "not read yet", "b": "yes", "name": "Terms restrict automated access" }, { "a": "not read yet", "b": "not found in the text", "name": "Terms restrict benchmarking" }, { "a": "not read yet", "b": "yes", "name": "Terms or service can change without notice" }, { "a": "not read yet", "b": "yes", "name": "Arbitration or class-action waiver" }, { "a": "53k stars, 1.3M PyPI/wk", "b": "29k stars, 3.1M npm/wk", "name": "Popularity" } ], "faq": [ { "answer": "Mastra scores 74.2 (BB) on agent readiness against LlamaIndex Framework's 70 (BB), and leads in 5 of 7 scored categories. LlamaIndex Framework leads on security \u0026 auth.", "question": "Which is better for AI agents, LlamaIndex Framework or Mastra?" }, { "answer": "Yes. LlamaIndex Framework is open source (MIT). Mastra is open source (Apache-2.0 for the core. Code under ee/ directories is source-available under the Mastra Enterprise License, free for development and testing).", "question": "Are LlamaIndex Framework and Mastra open source?" } ], "goodFor": [ { "aheadOn": [ "Security \u0026 auth, 74 against 67" ], "also": [ "No key needed to call it" ], "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" }, { "aheadOn": [ "Reliability, 87 against 70", "Schema \u0026 documentation, 98 against 85", "Agent ergonomics, 92 against 73", "Maintenance \u0026 community, 96 against 69", "Transparency \u0026 trust, 72 against 67" ], "also": null, "goodFor": "TypeScript teams that want agents, workflows, memory, evals and a local Studio in one framework.", "slug": "mastra", "watchFor": "Malicious versions of Mastra npm packages, including @mastra/core 1.42.1, were published on 17 June 2026" } ], "history": null, "job": { "capability": "agent.framework", "name": "Agent frameworks" }, "others": [ { "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/agentos-vs-mastra.json", "title": "AgentOS vs Mastra", "url": "https://www.anchorterminal.com/compare/agentos-vs-mastra" }, { "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/agno-vs-mastra.json", "title": "Agno vs Mastra", "url": "https://www.anchorterminal.com/compare/agno-vs-mastra" }, { "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/boxlang-ai-vs-mastra.json", "title": "BoxLang AI vs Mastra", "url": "https://www.anchorterminal.com/compare/boxlang-ai-vs-mastra" }, { "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/claude-agent-sdk-vs-mastra.json", "title": "Claude Agent SDK vs Mastra", "url": "https://www.anchorterminal.com/compare/claude-agent-sdk-vs-mastra" }, { "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/crewai-vs-mastra.json", "title": "CrewAI vs Mastra", "url": "https://www.anchorterminal.com/compare/crewai-vs-mastra" }, { "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/cursor-agent-sdk-vs-mastra.json", "title": "Cursor Agent SDK vs Mastra", "url": "https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-mastra" }, { "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/docker-agent-vs-mastra.json", "title": "Docker Agent vs Mastra", "url": "https://www.anchorterminal.com/compare/docker-agent-vs-mastra" }, { "json": "https://www.anchorterminal.com/compare/google-adk-vs-llamaindex.json", "title": "Agent Development Kit (ADK) vs LlamaIndex Framework", "url": "https://www.anchorterminal.com/compare/google-adk-vs-llamaindex" }, { "json": "https://www.anchorterminal.com/compare/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/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/guilds-run-vs-mastra.json", "title": "guilds.run vs Mastra", "url": "https://www.anchorterminal.com/compare/guilds-run-vs-mastra" }, { "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/langgraph-vs-mastra.json", "title": "LangGraph vs Mastra", "url": "https://www.anchorterminal.com/compare/langgraph-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" }, { "json": "https://www.anchorterminal.com/compare/mastra-vs-microsoft-agent-framework.json", "title": "Mastra vs Microsoft Agent Framework", "url": "https://www.anchorterminal.com/compare/mastra-vs-microsoft-agent-framework" }, { "json": "https://www.anchorterminal.com/compare/mastra-vs-openai-agents-sdk.json", "title": "Mastra vs OpenAI Agents SDK", "url": "https://www.anchorterminal.com/compare/mastra-vs-openai-agents-sdk" }, { "json": "https://www.anchorterminal.com/compare/mastra-vs-pydantic-ai.json", "title": "Mastra vs Pydantic AI", "url": "https://www.anchorterminal.com/compare/mastra-vs-pydantic-ai" }, { "json": "https://www.anchorterminal.com/compare/mastra-vs-smolagents.json", "title": "Mastra vs smolagents", "url": "https://www.anchorterminal.com/compare/mastra-vs-smolagents" }, { "json": "https://www.anchorterminal.com/compare/mastra-vs-strands-agents.json", "title": "Mastra vs Strands Agents", "url": "https://www.anchorterminal.com/compare/mastra-vs-strands-agents" }, { "json": "https://www.anchorterminal.com/compare/mastra-vs-tradingagents.json", "title": "Mastra vs TradingAgents", "url": "https://www.anchorterminal.com/compare/mastra-vs-tradingagents" }, { "json": "https://www.anchorterminal.com/compare/mastra-vs-vercel-ai-sdk.json", "title": "Mastra vs AI SDK", "url": "https://www.anchorterminal.com/compare/mastra-vs-vercel-ai-sdk" } ], "panel": null, "scores": [ { "by": 17, "edge": "mastra", "key": "reliability", "llamaindex": 70, "mastra": 87, "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 13, "edge": "mastra", "key": "schema", "llamaindex": 85, "mastra": 98, "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 19, "edge": "mastra", "key": "ergonomics", "llamaindex": 73, "mastra": 92, "name": "Agent ergonomics", "weight": 13 }, { "by": 7, "edge": "llamaindex", "key": "security", "llamaindex": 74, "mastra": 67, "name": "Security \u0026 auth", "weight": 14 }, { "by": 0, "edge": "", "key": "payments", "llamaindex": 60, "mastra": 60, "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 27, "edge": "mastra", "key": "maintenance", "llamaindex": 69, "mastra": 96, "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 5, "edge": "mastra", "key": "transparency", "llamaindex": 67, "mastra": 72, "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Mastra scores 74.2 (BB) on agent readiness against LlamaIndex Framework's 70 (BB), and leads in 5 of 7 scored categories. LlamaIndex Framework leads on security \u0026 auth. Both do agent frameworks.", "tasks": null, "tutorials": [], "verdicts": { "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.", "mastra": "A TypeScript framework with agents, workflows with suspend and resume, memory, an MCP client and server, per-server tool approval and built-in guardrail processors including a prompt-injection detector. On 17 June 2026 malicious versions of its npm packages were published, and the CLI, server and Studio send usage analytics by default, with token counts every 15 minutes." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/llamaindex-vs-mastra", "json": "https://www.anchorterminal.com/compare/llamaindex-vs-mastra.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/llamaindex-vs-mastra.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/llamaindex-vs-mastra.min.md" }, "markdown": "Mastra scores 74.2 (BB) on agent readiness against LlamaIndex Framework's 70 (BB), and leads in 5 of 7 scored categories. LlamaIndex Framework leads on security \u0026 auth. Both do agent frameworks.\n\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- Mastra: grade BB, 74.2/100, rank #91 of 1510. Markdown https://www.anchorterminal.com/tools/mastra.md · JSON https://www.anchorterminal.com/api/v1/tools/mastra.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### LlamaIndex Framework (BB)\n\nGood for: Python teams building retrieval-heavy agents over their own data, with many connectors.\n\nAhead on:\n- Security \u0026 auth, 74 against 67\n\nAlso in its favour:\n- No key needed to call it\n\nWatch for: Core is 0.14.x, and minor versions such as 0.13 and 0.14 carried breaking changes\n\n### Mastra (BB)\n\nGood for: TypeScript teams that want agents, workflows, memory, evals and a local Studio in one framework.\n\nAhead on:\n- Reliability, 87 against 70\n- Schema \u0026 documentation, 98 against 85\n- Agent ergonomics, 92 against 73\n- Maintenance \u0026 community, 96 against 69\n- Transparency \u0026 trust, 72 against 67\n\nWatch for: Malicious versions of Mastra npm packages, including @mastra/core 1.42.1, were published on 17 June 2026\n\n\n## Why the edge\n\n### Maintenance \u0026 community: Mastra +27\n\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- Mastra (96): @mastra/core 1.82.0 on 2026-11-04 (30). 27 stable releases in the 90 days to 6 November, 8 of them since 6 October (20). 436 open issues on 6 November, all 50 newest issues commented and 24 of them closed (22). Client, MCP and store packages are current, and @mastra/mcp 1.x stays supported beside 2.x (15). Renovate and CI configured, with the newest runs on main passing (9). 30+20+22+15+9 = 96.\n\n### Agent ergonomics: Mastra +19\n\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- Mastra (92): An MCP client in about ten lines with listTools() for static or listToolsets() for per-request tools, and ToolSearchProcessor for loading tools on demand (25). Step limits, memory windows and processors such as a token limiter control what reaches the model (20). MastraError with ids and categories, and processors can abort with a reason the caller can read (17). Workflow step retries, snapshots and durable agents for resuming (20). create-mastra scaffolds a project and the model router takes a plain string, but it's TypeScript only (10).\n\n### Reliability: Mastra +17\n\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- Mastra (87): Official npm packages, Node 22.13 or newer (20). Public CI workflows for unit, store, workspace and e2e tests; on 6 November the newest runs on main (Version Packages, Trigger Cloud Integration Tests) succeeded, while the test workflows themselves run on pull requests (22). 436 open issues and 795 open issues and pull requests on 6 November from GitHub's API, with 2,077 issues opened in the 90 days to 3 November; all 50 newest had a comment and 24 were closed, with issue-triage automation (18). A changesets CHANGELOG per package, a CI gate that needs approval for any major bump and migration guides, but no written versioning policy found, and `.network()` is deprecated without a removal date (12). 1.82.0 (15). 20+22+18+12+15 = 87, up from 74 on 6 October, when GitHub couldn't be read.\n\n### Schema \u0026 documentation: Mastra +13\n\n- LlamaIndex Framework (85): Framework reading. A typed Python API with a generated reference (22). llms.txt indexing the framework docs, plus a docs search API and an MCP server for the docs (10). The agents guide says what each agent class is for, and the MCP page lists the three ways to use MCP (15). Tools are typed from function signatures and Pydantic models (13). Many examples and notebooks, few documented error types (10). Dated changelog (15). 22+10+15+13+10+15 = 85.\n- Mastra (98): Typed TypeScript API with a reference section (25). llms.txt with a when-to-use list and condensed instructions for coding agents (10). The docs say when to use durable agents, and point multi-agent users from `.network()` to supervisor agents (20). Tools take Zod schemas (15). Examples on every page, and MastraError with ids and categories documented, though errors are spread across pages (13). Per-package changelogs and migration guides (15).\n\n### Security \u0026 auth: LlamaIndex Framework +7\n\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- Mastra (67): The CLI sends PostHog analytics, server startup sends token counts per model and a count of registered agents, tools and MCP servers, and Studio sends browser analytics, all on by default and documented, with one opt-out, MASTRA_TELEMETRY_DISABLED=1. Since #26986 (16 October 2026) each server process also reports token use per provider and model every 15 minutes, and the telemetry reference read on 6 November says server events carry a project identifier that is a raw Platform UUID or a hash of the Git origin remote, so they \"aren't anonymous\" (12). requireToolApproval on agents and MCP servers, allowedHosts for MCP HTTP, a curated environment for stdio servers, and sandboxed workspaces (20). PromptInjectionDetector, PII and moderation processors, and docs that call tool results untrusted model input (15). Built-in tracing with OpenTelemetry and other exporters (15). No SECURITY.md, no security.txt and no bug bounty found. A blog post says Mastra is SOC 2 Type II audited, which isn't scored for a framework, and we found no public advisory from Mastra about the June incident (5). Framework reading. 15+20+15+15+5 = 70 on 6 October, 12+20+15+15+5 = 67 on 6 November.\n\n### Transparency \u0026 trust: Mastra +5\n\n- LlamaIndex Framework (67): MIT (30). The library stores nothing itself; OpenAI is the default provider unless changed, which the docs show (20). A stale-package policy and removals noted in the changelog, such as deprecated IPEX integrations removed in 0.14.25, without dated notice (10). No telemetry, though no page states it (12). 30+20+10+12 = 72.\n- Mastra (72): Apache 2.0 for the core, with ee/ directories source-available under the Mastra Enterprise License (25). The privacy policy (last published 25 April 2025) covers the website, the Teams plan states six months' retention, and the subprocessor list sits in a trust centre our reader couldn't render (15). Migration guides and deprecation warnings, without dated removal windows (12). Every telemetry stream is documented with links to its source and one opt-out, and the reference now spells out what the project identifiers can be correlated with (20).\n\n## Score by category\n\n| Category | Weight | LlamaIndex Framework | Mastra | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 70 | 87 | Mastra +17 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 85 | 98 | Mastra +13 |\n| Agent ergonomics | 13% (16.2 this run) | 73 | 92 | Mastra +19 |\n| Security \u0026 auth | 14% (17.5 this run) | 74 | 67 | LlamaIndex Framework +7 |\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) | 69 | 96 | Mastra +27 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 67 | 72 | Mastra +5 |\n| Negative events | ≤15 | -2 | -8 | |\n| **Total** | | **70 · BB** | **74.2 · BB** | |\n\n## Facts side by side\n\n| Fact | LlamaIndex Framework | Mastra |\n| --- | --- | --- |\n| Kind | Agent framework | Agent framework |\n| Vendor | LlamaIndex | Kepler Software, Inc. |\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 | MIT | Apache-2.0 for the core. Code under ee/ directories is source-available under the Mastra Enterprise License, free for development and testing |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-09-21 | 2026-11-04 |\n| Terms last updated | no document linked | 2026-10-26 |\n| Privacy policy last updated | 2026-08-24 | no date given |\n| Customer content may train models | not read yet | yes |\n| Terms restrict automated access | not read yet | yes |\n| Terms restrict benchmarking | not read yet | not found in the text |\n| Terms or service can change without notice | not read yet | yes |\n| Arbitration or class-action waiver | not read yet | yes |\n| Popularity | 53k stars, 1.3M PyPI/wk | 29k stars, 3.1M npm/wk |\n\n## Verdicts\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**Mastra.** A TypeScript framework with agents, workflows with suspend and resume, memory, an MCP client and server, per-server tool approval and built-in guardrail processors including a prompt-injection detector. On 17 June 2026 malicious versions of its npm packages were published, and the CLI, server and Studio send usage analytics by default, with token counts every 15 minutes.\n\n## Before you call either\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### Mastra\n\n1. Set MASTRA_TELEMETRY_DISABLED=1 in every environment that runs the CLI, the server or Studio\n2. Pin exact versions with a lockfile, and make sure no 17 June 2026 release such as @mastra/core 1.42.1 is installed\n3. Set requireToolApproval on MCP servers that write, and allowedHosts when server URLs come from configuration\n4. Add PromptInjectionDetector as an input processor when tools return web or user content\n5. Use supervisor agents through generate() or stream(). `.network()` is deprecated\n\n## Questions\n\n### Which is better for AI agents, LlamaIndex Framework or Mastra?\n\nMastra scores 74.2 (BB) on agent readiness against LlamaIndex Framework's 70 (BB), and leads in 5 of 7 scored categories. LlamaIndex Framework leads on security \u0026 auth.\n\n### Are LlamaIndex Framework and Mastra open source?\n\nYes. LlamaIndex Framework is open source (MIT). Mastra is open source (Apache-2.0 for the core. Code under ee/ directories is source-available under the Mastra Enterprise License, free for development and testing).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/llamaindex-vs-mastra.json, and with the fewest tokens: https://www.anchorterminal.com/compare/llamaindex-vs-mastra.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"llamaindex\", \"b\": \"mastra\"}`. From a terminal: `anchor compare llamaindex mastra`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/llamaindex.json and https://www.anchorterminal.com/api/v1/tools/mastra.json\n\n## Other comparisons with LlamaIndex Framework or Mastra\n\n- [AgentOS vs LlamaIndex Framework](https://www.anchorterminal.com/compare/agentos-vs-llamaindex.md)\n- [AgentOS vs Mastra](https://www.anchorterminal.com/compare/agentos-vs-mastra.md)\n- [Agno vs LlamaIndex Framework](https://www.anchorterminal.com/compare/agno-vs-llamaindex.md)\n- [Agno vs Mastra](https://www.anchorterminal.com/compare/agno-vs-mastra.md)\n- [BoxLang AI vs LlamaIndex Framework](https://www.anchorterminal.com/compare/boxlang-ai-vs-llamaindex.md)\n- [BoxLang AI vs Mastra](https://www.anchorterminal.com/compare/boxlang-ai-vs-mastra.md)\n- [Claude Agent SDK vs LlamaIndex Framework](https://www.anchorterminal.com/compare/claude-agent-sdk-vs-llamaindex.md)\n- [Claude Agent SDK vs Mastra](https://www.anchorterminal.com/compare/claude-agent-sdk-vs-mastra.md)\n- [CrewAI vs LlamaIndex Framework](https://www.anchorterminal.com/compare/crewai-vs-llamaindex.md)\n- [CrewAI vs Mastra](https://www.anchorterminal.com/compare/crewai-vs-mastra.md)\n- [Cursor Agent SDK vs LlamaIndex Framework](https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-llamaindex.md)\n- [Cursor Agent SDK vs Mastra](https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-mastra.md)\n- [Docker Agent vs LlamaIndex Framework](https://www.anchorterminal.com/compare/docker-agent-vs-llamaindex.md)\n- [Docker Agent vs Mastra](https://www.anchorterminal.com/compare/docker-agent-vs-mastra.md)\n- [Agent Development Kit (ADK) vs LlamaIndex Framework](https://www.anchorterminal.com/compare/google-adk-vs-llamaindex.md)\n- [Agent Development Kit (ADK) vs Mastra](https://www.anchorterminal.com/compare/google-adk-vs-mastra.md)\n- [guilds.run vs LlamaIndex Framework](https://www.anchorterminal.com/compare/guilds-run-vs-llamaindex.md)\n- [guilds.run vs Mastra](https://www.anchorterminal.com/compare/guilds-run-vs-mastra.md)\n- [LangGraph vs LlamaIndex Framework](https://www.anchorterminal.com/compare/langgraph-vs-llamaindex.md)\n- [LangGraph vs Mastra](https://www.anchorterminal.com/compare/langgraph-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- [Mastra vs Microsoft Agent Framework](https://www.anchorterminal.com/compare/mastra-vs-microsoft-agent-framework.md)\n- [Mastra vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/mastra-vs-openai-agents-sdk.md)\n- [Mastra vs Pydantic AI](https://www.anchorterminal.com/compare/mastra-vs-pydantic-ai.md)\n- [Mastra vs smolagents](https://www.anchorterminal.com/compare/mastra-vs-smolagents.md)\n- [Mastra vs Strands Agents](https://www.anchorterminal.com/compare/mastra-vs-strands-agents.md)\n- [Mastra vs TradingAgents](https://www.anchorterminal.com/compare/mastra-vs-tradingagents.md)\n- [Mastra vs AI SDK](https://www.anchorterminal.com/compare/mastra-vs-vercel-ai-sdk.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-11-07", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.7", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "LlamaIndex Framework vs Mastra", "url": "" } ], "description": "Mastra scores 74.2 (BB) to LlamaIndex Framework's 70 (BB) for agent frameworks. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "LlamaIndex Framework BB 70", "Mastra BB 74.2", "scores" ], "h1": "LlamaIndex Framework vs Mastra", "image": "https://www.anchorterminal.com/assets/og/default.png", "path": "/compare/llamaindex-vs-mastra", "published": "2026-10-01", "section": "tools", "title": "LlamaIndex Framework vs Mastra for AI agents (2026) | Anchor Terminal", "toc": null, "updated": "2026-11-07", "url": "https://www.anchorterminal.com/compare/llamaindex-vs-mastra" }, "tokens": { "markdown": 4500, "slim": 2530 }, "version": 1 }