{ "data": { "a": { "slug": "cursor-agent-sdk", "name": "Cursor Agent SDK", "vendor": "Cursor", "vendorUrl": "https://cursor.com/docs/agent-sdk", "kind": "framework", "category": "frameworks", "summary": "Cursor's TypeScript framework for defining an agent as a folder of instructions, typed tools, skills, MCP connections and channels, testing it with evals, and running it on your own server or on Cursor's hosting.", "url": "https://www.anchorterminal.com/tools/cursor-agent-sdk", "markdownUrl": "https://www.anchorterminal.com/tools/cursor-agent-sdk.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/cursor-agent-sdk.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/cursor-agent-sdk.json", "license": "Proprietary. The package's LICENSE.md reads \"© Anysphere Inc. All rights reserved\", with use subject to Cursor's Terms of Service (updated 3 September 2026). No source repository is published", "transports": [], "packages": [ { "registry": "npm", "name": "@grok/agent-sdk" } ], "auth": "mixed", "authNotes": "Model turns need a Cursor credential. `agent-sdk login` opens a browser sign-in and stores the key it creates, or pass a user API key from the dashboard or a team service-account key as `--api-key`, `CURSOR_API_KEY`, `CURSOR_API_KEY_FILE` or `CURSOR_SERVICE_ACCOUNT_KEY`. `logout` doesn't revoke the key. Direct tool calls without a model turn need no Cursor key. A self-hosted server is protected with `--bearer-token`, and a deployment's routes with an alias token.", "pricing": "byo-plan", "pricingNotes": "The package is free to install. Model turns draw on the Cursor plan of the key's owner, Free ($0, limited agent requests) to Ultra ($200 a month), and beyond the weekly pool the default model, Grok 4.5 with Fast on, is $4 per million input tokens and $18 per million output tokens. No price for Cursor-managed hosting and no statement of which plans include the Agent SDK were found (checked 2026-10-27).", "priceSummary": "Your plan", "where": "library", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the Agent SDK docs, the npm package or the pricing page (checked 2026-10-27).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-27" }, "docsUrl": "https://cursor.com/docs/agent-sdk", "llmsTxt": "https://cursor.com/llms.txt", "capabilities": [ "agent.framework", "agent.mcp-client", "agent.durable", "agent.multi-agent", "obs.evals" ], "tags": [ "official", "framework", "typescript", "closed-source", "mcp", "llms-txt", "pre-1.0", "self-hosted", "hosted", "new" ], "lastRelease": "2026-10-25", "graded": true, "anchor": { "graded": true, "score": 63.6, "grade": "B", "agentReady": false, "rank": 443, "ranked": true, "rankOf": 1217, "categoryRank": 12, "methodology": "0.6", "run": "2026-10-01", "scores": { "ergonomics": 80, "maintenance": 74, "payments": 30, "reliability": 45, "schema": 82, "security": 68, "transparency": 70 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-27" }, "negative": 0, "verdict": "An agent-as-code framework with typed tools, declared read and write effects that drive retries and dry runs, an approval gate per tool and evals that assert on tool calls. It's closed source, every model turn runs through Cursor's backend on a Cursor plan, local sandboxing is off by default, and the changelog has two entries.", "bestFor": "Teams already on Cursor who want version-controlled agents for pull request review, triage and Slack, with evals in CI and one-command hosting.", "strengths": [ "Tools declare a read, write or idempotent effect. Only reads and idempotent calls retry, and dry-run sessions stub writes", "`needsApproval` on a tool parks the call until a person approves, and `ctx.approvedBy` records who did", "Evals assert which tools ran, with what input, and the reply's shape, and `github replay` turns a real pull request into signed test deliveries", "Every page has a Markdown twin listed in cursor.com/llms.txt, and the package ships the same docs and an llms.txt", "Sessions keep a record of every message and tool call, and OpenTelemetry export stays off until an endpoint is set" ], "weaknesses": [ "Closed source under Cursor's terms, with no public repository, CI or issue tracker", "Every model turn runs through Cursor's backend with a Cursor credential, including on a self-hosted server", "Local sandboxing is off by default, so shell commands auto-approve with the host's credentials", "The changelog has two entries, 0.2.29 and 0.3.0, both dated 23 October 2026. The 27 earlier @cursor/bdk versions have none", "The launch post's install command names a package that doesn't exist on npm" ], "agentNotes": [ "Install `@grok/agent-sdk`, not `@cursor/agent-sdk` from the launch post. That name answers 404 on npm", "Set `local.sandbox` before a turn reads webhook payloads, pull request diffs or chat. Without it shell commands auto-approve with the host's credentials", "Give every tool an `effect`. A tool without one counts as a write, runs once and is stubbed in dry runs", "Start `agent-sdk serve` with `--bearer-token` on any shared host. `--allow-anonymous` admits every caller as one principal", "Delete bot/hooks/memory.ts when sessions serve different people. The journal shares each turn's message and result with later turns" ], "metrics": { "kind": "library", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.6", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 63.6 } ], "editorialScores": { "ergonomics": 80, "maintenance": 74, "payments": 30, "reliability": 45, "schema": 82, "security": 68, "transparency": 49 }, "provenanceScore": 91, "checked": { "categories": { "ergonomics": "2026-10-27", "maintenance": "2026-10-27", "payments": "2026-10-27", "reliability": "2026-10-27", "schema": "2026-10-27", "security": "2026-10-27", "transparency": "2026-10-27" }, "last": "2026-10-27", "oldest": "2026-10-27", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "npm install --global @grok/agent-sdk", "headless": { "run": "agent-sdk run --dir . --message \"Introduce yourself in one sentence.\"" } }, "letme": { "capability": "https://letme.dev/agent.framework", "tool": "https://letme.dev/cursor-agent-sdk" }, "sameCompany": [ "cursor-cli", "grok-bot" ], "area": "frameworks", "unitPrices": [ { "item": "Grok 4.5 Fast (the default model) input, beyond the weekly pool", "unit": "1m-tokens", "usd": 4, "note": "cache reads $1" }, { "item": "Grok 4.5 Fast (the default model) output, beyond the weekly pool", "unit": "1m-tokens", "usd": 18 }, { "item": "Grok 4.5 input, Fast off, beyond the weekly pool", "unit": "1m-tokens", "usd": 2, "note": "cache reads $0.50" }, { "item": "Grok 4.5 output, Fast off, beyond the weekly pool", "unit": "1m-tokens", "usd": 6 }, { "item": "Premium plan (first plan with Cloud Agents and third-party models)", "unit": "month", "usd": 30 } ], "provenance": { "legalEntity": "Anysphere, Inc.", "domain": "cursor.com", "domainRegistered": "1995-12-20", "endpointOnVendorDomain": null, "terms": "https://cursor.com/terms-of-service", "privacy": "https://cursor.com/privacy", "statusPage": "https://status.cursor.com", "changelog": "https://cursor.com/docs/agent-sdk/changelog", "securityTxt": "valid", "checked": "2026-10-27", "notes": [ "The package's LICENSE.md and the site footer name Anysphere, Inc. The terms of service are dated 3 September 2026 and the privacy policy 11 October 2026.", "RDAP (Verisign) gives cursor.com a registration date of 1995-12-20.", "cursor.com/.well-known/security.txt has a Contact line pointing to github.com/getcursor/cursor/security and a secondary email, and no Expires line. The site's tracker reads a file with a Contact and no Expires as valid, as on the Cursor CLI listing.", "The footer links status.cursor.com. Its robots.txt answered with a Cloudflare challenge on 27 October 2026, so the status page wasn't read.", "The npm package's repository field points to github.com/cursor/cursor, which holds only a README and SECURITY.md." ], "score": 91 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/cursor-agent-sdk.json", "live": { "slug": "cursor-agent-sdk", "vendorStatus": { "page": "https://status.cursor.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-27T15:14:26.800557415Z" }, "llmsTxt": { "url": "https://cursor.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-27T14:57:46.410898693Z" }, "updatedAt": "2026-10-27T15:14:26.800557415Z" } }, "answer": "TradingAgents scores 64.7 (B) on agent readiness against Cursor Agent SDK's 63.6 (B), and leads in 3 of 7 scored categories. Cursor Agent SDK leads on schema \u0026 documentation, agent ergonomics and security \u0026 auth.", "b": { "slug": "tradingagents", "name": "TradingAgents", "vendor": "Tauric Research", "vendorUrl": "https://tauric.ai", "kind": "framework", "category": "frameworks", "summary": "TradingAgents, from Tauric Research, is an open-source Python framework on LangGraph in which LLM agents for analysis, research debate, trading and risk review produce a five-tier rating and a report for one ticker and date.", "url": "https://www.anchorterminal.com/tools/tradingagents", "markdownUrl": "https://www.anchorterminal.com/tools/tradingagents.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/tradingagents.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/tradingagents.json", "repo": "https://github.com/TauricResearch/TradingAgents", "license": "Apache-2.0", "transports": [], "packages": [], "auth": "api-key", "authNotes": "The framework has no account of its own. Each model provider's key is read from the environment or a .env file, which the package loads on import by walking up from the working directory. A ChatGPT Plus or Pro plan can be used instead through OpenAI's sign-in for open-source apps (PKCE, dynamic client registration, loopback redirect), with tokens kept in ~/.tradingagents/chatgpt-auth.json readable only by its owner and revoked by `tradingagents logout chatgpt`. Bedrock uses AWS credentials. Alpha Vantage, FRED and TypeSafe's Jev take optional keys; Yahoo Finance, SEC EDGAR, Reddit, StockTwits and Polymarket need none.", "pricing": "free", "pricingNotes": "Free under Apache 2.0, with nothing to buy from Tauric Research to run it. Each run calls the chosen model provider many times (four analysts, a debate, a trader, three risk debaters and two managers by default), billed by that provider, or counted against a ChatGPT plan's usage limits. Alpha Vantage and Jev bill on their own terms when their keys are set. Tauric Research's hosted services at tauric.ai are invitation or enterprise access with no public price, and are not this listing (checked 2026-10-25).", "priceSummary": "Free · OSS", "where": "library", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the source, README or changelog of v0.7.0 (checked 2026-10-25).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 114000, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-25" }, "docsUrl": "https://github.com/TauricResearch/TradingAgents#readme", "capabilities": [ "agent.framework", "agent.multi-agent", "agent.durable" ], "tags": [ "framework", "python", "langgraph", "open-source", "apache-2.0", "self-hosted", "local", "cli", "docker", "free", "pre-1.0" ], "lastRelease": "2026-10-16", "graded": true, "anchor": { "graded": true, "score": 64.7, "grade": "B", "agentReady": false, "rank": 390, "ranked": true, "rankOf": 1217, "categoryRank": 11, "methodology": "0.6", "run": "2026-10-01", "scores": { "ergonomics": 61, "maintenance": 82, "payments": 60, "reliability": 67, "schema": 61, "security": 62, "transparency": 68 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-25" }, "negative": 0, "verdict": "An Apache 2.0 LangGraph framework at 0.7.0 with six releases in 90 days, a dated changelog with upgrade notes, a public test matrix and point-in-time rules for historical runs. It has no MCP client or server, no PyPI package and no documentation beyond the README, and its output is a model-written rating that places no orders.", "bestFor": "Researchers who want a fixed multi-agent analysis of one listed instrument or crypto pair on a date, with point-in-time data for backtests, and who will run Python.", "strengths": [ "Apache 2.0, with six releases between 30 August and 16 October 2026 and \"Upgrading from\" notes in a dated changelog", "CI runs 982 test functions on Python 3.11 to 3.14, a clean-install import check and Ruff, passing on main on 25 October 2026", "Past-dated runs read SEC EDGAR statements as filed on that date and withhold Yahoo statements and insider trades that can't be dated", "Runs headless from flags and TRADINGAGENTS_* variables, and checkpoint resume and backtest run IDs skip work already done", "Places no orders and holds no broker credentials; tools only read market, filing, news and social data" ], "weaknesses": [ "No MCP client or MCP server, so an agent drives it only through Python or the CLI", "Not on PyPI; installs from a clone, Docker or the wheel attached to each GitHub release since 0.7.0", "Documentation is the README and changelog only, with no API reference or llms.txt", "0.5.1, a patch release, moved import paths and removed classes without a deprecation period", "News, Reddit and StockTwits text goes into prompts with no documented guidance on prompt injection" ], "agentNotes": [ "Run headless with `tradingagents --ticker \u003cT\u003e --date \u003cYYYY-MM-DD\u003e --analysts market,news,fundamentals --save --no-show`; a missing answer stops the run and names the flag", "Guard on the REVIEW signal before mapping `propagate()`'s decision to a rating; it means no rating could be parsed", "Set SEC_EDGAR_USER_AGENT to the operator's own name and address before fetching US fundamentals", "Keep provider keys out of the working directory tree unless intended, since the package loads the nearest .env on import", "Treat the rating as model output for research; the framework places no orders and its results vary between runs" ], "metrics": { "kind": "library", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.6", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 64.7 } ], "editorialScores": { "ergonomics": 61, "maintenance": 82, "payments": 60, "reliability": 67, "schema": 61, "security": 62, "transparency": 73 }, "provenanceScore": 62, "checked": { "categories": { "ergonomics": "2026-10-25", "maintenance": "2026-10-25", "payments": "2026-10-25", "reliability": "2026-10-25", "schema": "2026-10-25", "security": "2026-10-25", "transparency": "2026-10-25" }, "last": "2026-10-25", "oldest": "2026-10-25", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "git clone https://github.com/TauricResearch/TradingAgents.git \u0026\u0026 cd TradingAgents \u0026\u0026 pip install ." }, "letme": { "capability": "https://letme.dev/agent.framework", "tool": "https://letme.dev/tradingagents" }, "area": "frameworks", "provenance": { "legalEntity": "Tauric Research", "domain": "tauric.ai", "domainRegistered": "2025-03-26", "endpointOnVendorDomain": null, "terms": "https://tauric.ai/terms", "privacy": "https://tauric.ai/privacy", "statusPage": "", "changelog": "https://github.com/TauricResearch/TradingAgents/blob/main/CHANGELOG.md", "securityTxt": "none", "checked": "2026-10-25", "notes": [ "The terms and privacy policy, both effective 23 October 2026, name Tauric Research and California law and cover tauric.ai's hosted services. No legal form or address was found. The framework itself is under Apache 2.0, whose LICENSE file carries no copyright line.", "tauric.ai/.well-known/security.txt returns the site's HTML page, not a security.txt. The repository's issue template sends security reports to GitHub private vulnerability reporting; there is no SECURITY.md.", "RDAP gives tauric.ai a registration date of 2025-03-26.", "No status page; the software runs on the user's machine." ], "score": 62 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/tradingagents.json", "live": { "slug": "tradingagents", "versions": [ { "registry": "github", "name": "TauricResearch/TradingAgents", "version": "v0.7.1", "released": "2026-10-27", "seenAt": "2026-10-27T11:38:09.842396466Z" } ], "githubStars": 116932, "securityTxt": { "url": "https://tauric.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-26T15:30:22.525889016Z" }, "pages": [ { "url": "https://raw.githubusercontent.com/TauricResearch/TradingAgents/main/CHANGELOG.md", "kind": "changelog", "status": 304, "checkedAt": "2026-10-27T03:53:47.581191999Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "0878fb25d9c2" }, { "url": "https://tauric.ai/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-27T03:55:49.52881984Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "7e4e618c1449" }, { "url": "https://tauric.ai/terms", "kind": "terms", "status": 200, "checkedAt": "2026-10-27T03:55:51.757027884Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "cfbd2485cdbb" } ], "github": { "repo": "tauricresearch/tradingagents", "checkedAt": "2026-10-26T07:06:21.979903862Z", "stars": 114957, "archived": false, "issuesEnabled": true, "pushedAt": "2026-10-16T21:38:46Z", "openIssues": 44, "openPRs": 109, "issuesOpened90d": 103, "issuesClosed90d": 216, "prsMerged90d": 14, "ci": { "branch": "main", "runs": 42, "success": 42, "failure": 0, "other": 0, "latest": "success", "latestAt": "2026-10-16T21:40:10Z" }, "replies": { "sampled": 25, "unanswered": 7, "medianDays": 3.2 } }, "updatedAt": "2026-10-27T11:38:09.842396466Z" } }, "facts": [ { "a": "Agent framework", "b": "Agent framework", "name": "Kind" }, { "a": "Cursor", "b": "Tauric Research", "name": "Vendor" }, { "a": "no (local only)", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "", "b": "", "name": "Transports" }, { "a": "OAuth or key", "b": "API key", "name": "Auth" }, { "a": "Your plan", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Proprietary. The package's LICENSE.md reads \"© Anysphere Inc. All rights reserved\", with use subject to Cursor's Terms of Service (updated 3 September 2026). No source repository is published", "b": "Apache-2.0", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "no", "name": "llms.txt" }, { "a": "2026-10-25", "b": "2026-10-16", "name": "Last release" }, { "a": "2026-09-03", "b": "", "name": "Terms last updated" }, { "a": "2026-09-29", "b": "", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "", "name": "Customer content may train models" }, { "a": "yes", "b": "", "name": "Terms restrict automated access" }, { "a": "yes", "b": "", "name": "Terms restrict benchmarking" }, { "a": "yes", "b": "", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "", "name": "Arbitration or class-action waiver" }, { "a": "none", "b": "114k stars", "name": "Popularity" } ], "faq": [ { "answer": "TradingAgents scores 64.7 (B) on agent readiness against Cursor Agent SDK's 63.6 (B), and leads in 3 of 7 scored categories. Cursor Agent SDK leads on schema \u0026 documentation, agent ergonomics and security \u0026 auth.", "question": "Which is better for AI agents, Cursor Agent SDK or TradingAgents?" }, { "answer": "No open-source release is listed for Cursor Agent SDK. TradingAgents is open source (Apache-2.0).", "question": "Are Cursor Agent SDK and TradingAgents open source?" } ], "goodFor": [ { "aheadOn": [ "Schema \u0026 documentation, 82 against 61", "Agent ergonomics, 80 against 61", "Security \u0026 auth, 68 against 62" ], "also": null, "goodFor": "Teams already on Cursor who want version-controlled agents for pull request review, triage and Slack, with evals in CI and one-command hosting.", "slug": "cursor-agent-sdk", "watchFor": "Closed source under Cursor's terms, with no public repository, CI or issue tracker" }, { "aheadOn": [ "Reliability, 67 against 45", "Payments \u0026 pricing, 60 against 30", "Maintenance \u0026 community, 82 against 74" ], "also": [ "Open source" ], "goodFor": "Researchers who want a fixed multi-agent analysis of one listed instrument or crypto pair on a date, with point-in-time data for backtests, and who will run Python.", "slug": "tradingagents", "watchFor": "No MCP client or MCP server, so an agent drives it only through Python or the CLI" } ], "job": { "capability": "agent.framework", "name": "Agent frameworks" }, "others": [ { "json": "https://www.anchorterminal.com/compare/agentos-vs-cursor-agent-sdk.json", "title": "AgentOS vs Cursor Agent SDK", "url": "https://www.anchorterminal.com/compare/agentos-vs-cursor-agent-sdk" }, { "json": "https://www.anchorterminal.com/compare/agentos-vs-tradingagents.json", "title": "AgentOS vs TradingAgents", "url": "https://www.anchorterminal.com/compare/agentos-vs-tradingagents" }, { "json": "https://www.anchorterminal.com/compare/agno-vs-cursor-agent-sdk.json", "title": "Agno vs Cursor Agent SDK", "url": "https://www.anchorterminal.com/compare/agno-vs-cursor-agent-sdk" }, { "json": "https://www.anchorterminal.com/compare/agno-vs-tradingagents.json", "title": "Agno vs TradingAgents", "url": "https://www.anchorterminal.com/compare/agno-vs-tradingagents" }, { "json": "https://www.anchorterminal.com/compare/claude-agent-sdk-vs-cursor-agent-sdk.json", "title": "Claude Agent SDK vs Cursor Agent SDK", "url": "https://www.anchorterminal.com/compare/claude-agent-sdk-vs-cursor-agent-sdk" }, { "json": "https://www.anchorterminal.com/compare/claude-agent-sdk-vs-tradingagents.json", "title": "Claude Agent SDK vs TradingAgents", "url": "https://www.anchorterminal.com/compare/claude-agent-sdk-vs-tradingagents" }, { "json": "https://www.anchorterminal.com/compare/crewai-vs-cursor-agent-sdk.json", "title": "CrewAI vs Cursor Agent SDK", "url": "https://www.anchorterminal.com/compare/crewai-vs-cursor-agent-sdk" }, { "json": "https://www.anchorterminal.com/compare/crewai-vs-tradingagents.json", "title": "CrewAI vs TradingAgents", "url": "https://www.anchorterminal.com/compare/crewai-vs-tradingagents" }, { "json": "https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-docker-agent.json", "title": "Cursor Agent SDK vs Docker Agent", "url": "https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-docker-agent" }, { "json": "https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-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-guilds-run.json", "title": "Cursor Agent SDK vs guilds.run", "url": "https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-guilds-run" }, { "json": "https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-langgraph.json", "title": "Cursor Agent SDK vs LangGraph", "url": "https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-langgraph" }, { "json": "https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-microsoft-agent-framework.json", "title": "Cursor Agent SDK vs Microsoft Agent Framework", "url": "https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-microsoft-agent-framework" }, { "json": "https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-openai-agents-sdk.json", "title": "Cursor Agent SDK vs OpenAI Agents SDK", "url": "https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-openai-agents-sdk" }, { "json": "https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-pydantic-ai.json", "title": "Cursor Agent SDK vs Pydantic AI", "url": "https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-pydantic-ai" }, { "json": "https://www.anchorterminal.com/compare/docker-agent-vs-tradingagents.json", "title": "Docker Agent vs TradingAgents", "url": "https://www.anchorterminal.com/compare/docker-agent-vs-tradingagents" }, { "json": "https://www.anchorterminal.com/compare/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/guilds-run-vs-tradingagents.json", "title": "guilds.run vs TradingAgents", "url": "https://www.anchorterminal.com/compare/guilds-run-vs-tradingagents" }, { "json": "https://www.anchorterminal.com/compare/langgraph-vs-tradingagents.json", "title": "LangGraph vs TradingAgents", "url": "https://www.anchorterminal.com/compare/langgraph-vs-tradingagents" }, { "json": "https://www.anchorterminal.com/compare/microsoft-agent-framework-vs-tradingagents.json", "title": "Microsoft Agent Framework vs TradingAgents", "url": "https://www.anchorterminal.com/compare/microsoft-agent-framework-vs-tradingagents" }, { "json": "https://www.anchorterminal.com/compare/openai-agents-sdk-vs-tradingagents.json", "title": "OpenAI Agents SDK vs TradingAgents", "url": "https://www.anchorterminal.com/compare/openai-agents-sdk-vs-tradingagents" }, { "json": "https://www.anchorterminal.com/compare/pydantic-ai-vs-tradingagents.json", "title": "Pydantic AI vs TradingAgents", "url": "https://www.anchorterminal.com/compare/pydantic-ai-vs-tradingagents" } ], "scores": [ { "by": 22, "cursor-agent-sdk": 45, "edge": "tradingagents", "key": "reliability", "name": "Reliability", "tradingagents": 67, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 21, "cursor-agent-sdk": 82, "edge": "cursor-agent-sdk", "key": "schema", "name": "Schema \u0026 documentation", "tradingagents": 61, "weight": 13 }, { "by": 19, "cursor-agent-sdk": 80, "edge": "cursor-agent-sdk", "key": "ergonomics", "name": "Agent ergonomics", "tradingagents": 61, "weight": 13 }, { "by": 6, "cursor-agent-sdk": 68, "edge": "cursor-agent-sdk", "key": "security", "name": "Security \u0026 auth", "tradingagents": 62, "weight": 14 }, { "by": 30, "cursor-agent-sdk": 30, "edge": "tradingagents", "key": "payments", "name": "Payments \u0026 pricing", "tradingagents": 60, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 8, "cursor-agent-sdk": 74, "edge": "tradingagents", "key": "maintenance", "name": "Maintenance \u0026 community", "tradingagents": 82, "weight": 7 }, { "by": 2, "cursor-agent-sdk": 70, "edge": "cursor-agent-sdk", "key": "transparency", "name": "Transparency \u0026 trust", "tradingagents": 68, "weight": 7 } ], "summary": "TradingAgents scores 64.7 (B) on agent readiness against Cursor Agent SDK's 63.6 (B), and leads in 3 of 7 scored categories. Cursor Agent SDK leads on schema \u0026 documentation, agent ergonomics and security \u0026 auth. Both do agent frameworks.", "tutorials": [], "verdicts": { "cursor-agent-sdk": "An agent-as-code framework with typed tools, declared read and write effects that drive retries and dry runs, an approval gate per tool and evals that assert on tool calls. It's closed source, every model turn runs through Cursor's backend on a Cursor plan, local sandboxing is off by default, and the changelog has two entries.", "tradingagents": "An Apache 2.0 LangGraph framework at 0.7.0 with six releases in 90 days, a dated changelog with upgrade notes, a public test matrix and point-in-time rules for historical runs. It has no MCP client or server, no PyPI package and no documentation beyond the README, and its output is a model-written rating that places no orders." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-tradingagents", "json": "https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-tradingagents.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-tradingagents.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-tradingagents.min.md" }, "markdown": "TradingAgents scores 64.7 (B) on agent readiness against Cursor Agent SDK's 63.6 (B), and leads in 3 of 7 scored categories. Cursor Agent SDK leads on schema \u0026 documentation, agent ergonomics and security \u0026 auth. Both do agent frameworks.\n\n- Cursor Agent SDK: grade B, 63.6/100, rank #443 of 1217. Markdown https://www.anchorterminal.com/tools/cursor-agent-sdk.md · JSON https://www.anchorterminal.com/api/v1/tools/cursor-agent-sdk.json\n- TradingAgents: grade B, 64.7/100, rank #390 of 1217. Markdown https://www.anchorterminal.com/tools/tradingagents.md · JSON https://www.anchorterminal.com/api/v1/tools/tradingagents.json\n- Best agent frameworks and SDKs: https://www.anchorterminal.com/best/frameworks/index.md\n- All 78 frameworks comparisons: https://www.anchorterminal.com/compare/frameworks/index.md\n\n## Which one, for what\n\n### Cursor Agent SDK (B)\n\nGood for: Teams already on Cursor who want version-controlled agents for pull request review, triage and Slack, with evals in CI and one-command hosting.\n\nAhead on:\n- Schema \u0026 documentation, 82 against 61\n- Agent ergonomics, 80 against 61\n- Security \u0026 auth, 68 against 62\n\nWatch for: Closed source under Cursor's terms, with no public repository, CI or issue tracker\n\n### TradingAgents (B)\n\nGood for: Researchers who want a fixed multi-agent analysis of one listed instrument or crypto pair on a date, with point-in-time data for backtests, and who will run Python.\n\nAhead on:\n- Reliability, 67 against 45\n- Payments \u0026 pricing, 60 against 30\n- Maintenance \u0026 community, 82 against 74\n\nAlso in its favour:\n- Open source\n\nWatch for: No MCP client or MCP server, so an agent drives it only through Python or the CLI\n\n\n## Score by category\n\n| Category | Weight | Cursor Agent SDK | TradingAgents | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 45 | 67 | TradingAgents +22 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 82 | 61 | Cursor Agent SDK +21 |\n| Agent ergonomics | 13% (16.2 this run) | 80 | 61 | Cursor Agent SDK +19 |\n| Security \u0026 auth | 14% (17.5 this run) | 68 | 62 | Cursor Agent SDK +6 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 60 | TradingAgents +30 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 74 | 82 | TradingAgents +8 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 70 | 68 | Cursor Agent SDK +2 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **63.6 · B** | **64.7 · B** | |\n\n## Facts side by side\n\n| Fact | Cursor Agent SDK | TradingAgents |\n| --- | --- | --- |\n| Kind | Agent framework | Agent framework |\n| Vendor | Cursor | Tauric Research |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | | |\n| Auth | OAuth or key | API key |\n| Pricing | Your plan | Free |\n| x402 | no | no |\n| Licence | Proprietary. The package's LICENSE.md reads \"© Anysphere Inc. All rights reserved\", with use subject to Cursor's Terms of Service (updated 3 September 2026). No source repository is published | Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| Last release | 2026-10-25 | 2026-10-16 |\n| Terms last updated | 2026-09-03 | |\n| Privacy policy last updated | 2026-09-29 | |\n| Customer content may train models | not found in the text | |\n| Terms restrict automated access | yes | |\n| Terms restrict benchmarking | yes | |\n| Terms or service can change without notice | yes | |\n| Arbitration or class-action waiver | yes | |\n| Popularity | none | 114k stars |\n\n## Verdicts\n\n**Cursor Agent SDK.** An agent-as-code framework with typed tools, declared read and write effects that drive retries and dry runs, an approval gate per tool and evals that assert on tool calls. It's closed source, every model turn runs through Cursor's backend on a Cursor plan, local sandboxing is off by default, and the changelog has two entries.\n\n**TradingAgents.** An Apache 2.0 LangGraph framework at 0.7.0 with six releases in 90 days, a dated changelog with upgrade notes, a public test matrix and point-in-time rules for historical runs. It has no MCP client or server, no PyPI package and no documentation beyond the README, and its output is a model-written rating that places no orders.\n\n## Before you call either\n\n### Cursor Agent SDK\n\n1. Install `@grok/agent-sdk`, not `@cursor/agent-sdk` from the launch post. That name answers 404 on npm\n2. Set `local.sandbox` before a turn reads webhook payloads, pull request diffs or chat. Without it shell commands auto-approve with the host's credentials\n3. Give every tool an `effect`. A tool without one counts as a write, runs once and is stubbed in dry runs\n4. Start `agent-sdk serve` with `--bearer-token` on any shared host. `--allow-anonymous` admits every caller as one principal\n5. Delete bot/hooks/memory.ts when sessions serve different people. The journal shares each turn's message and result with later turns\n\n### TradingAgents\n\n1. Run headless with `tradingagents --ticker \u003cT\u003e --date \u003cYYYY-MM-DD\u003e --analysts market,news,fundamentals --save --no-show`; a missing answer stops the run and names the flag\n2. Guard on the REVIEW signal before mapping `propagate()`'s decision to a rating; it means no rating could be parsed\n3. Set SEC_EDGAR_USER_AGENT to the operator's own name and address before fetching US fundamentals\n4. Keep provider keys out of the working directory tree unless intended, since the package loads the nearest .env on import\n5. Treat the rating as model output for research; the framework places no orders and its results vary between runs\n\n## Questions\n\n### Which is better for AI agents, Cursor Agent SDK or TradingAgents?\n\nTradingAgents scores 64.7 (B) on agent readiness against Cursor Agent SDK's 63.6 (B), and leads in 3 of 7 scored categories. Cursor Agent SDK leads on schema \u0026 documentation, agent ergonomics and security \u0026 auth.\n\n### Are Cursor Agent SDK and TradingAgents open source?\n\nNo open-source release is listed for Cursor Agent SDK. TradingAgents is open source (Apache-2.0).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-tradingagents.json, and with the fewest tokens: https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-tradingagents.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"cursor-agent-sdk\", \"b\": \"tradingagents\"}`. From a terminal: `anchor compare cursor-agent-sdk tradingagents`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/cursor-agent-sdk.json and https://www.anchorterminal.com/api/v1/tools/tradingagents.json\n\n## Other comparisons with Cursor Agent SDK or TradingAgents\n\n- [AgentOS vs Cursor Agent SDK](https://www.anchorterminal.com/compare/agentos-vs-cursor-agent-sdk.md)\n- [AgentOS vs TradingAgents](https://www.anchorterminal.com/compare/agentos-vs-tradingagents.md)\n- [Agno vs Cursor Agent SDK](https://www.anchorterminal.com/compare/agno-vs-cursor-agent-sdk.md)\n- [Agno vs TradingAgents](https://www.anchorterminal.com/compare/agno-vs-tradingagents.md)\n- [Claude Agent SDK vs Cursor Agent SDK](https://www.anchorterminal.com/compare/claude-agent-sdk-vs-cursor-agent-sdk.md)\n- [Claude Agent SDK vs TradingAgents](https://www.anchorterminal.com/compare/claude-agent-sdk-vs-tradingagents.md)\n- [CrewAI vs Cursor Agent SDK](https://www.anchorterminal.com/compare/crewai-vs-cursor-agent-sdk.md)\n- [CrewAI vs TradingAgents](https://www.anchorterminal.com/compare/crewai-vs-tradingagents.md)\n- [Cursor Agent SDK vs Docker Agent](https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-docker-agent.md)\n- [Cursor Agent SDK vs Agent Development Kit (ADK)](https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-google-adk.md)\n- [Cursor Agent SDK vs guilds.run](https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-guilds-run.md)\n- [Cursor Agent SDK vs LangGraph](https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-langgraph.md)\n- [Cursor Agent SDK vs Microsoft Agent Framework](https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-microsoft-agent-framework.md)\n- [Cursor Agent SDK vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-openai-agents-sdk.md)\n- [Cursor Agent SDK vs Pydantic AI](https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-pydantic-ai.md)\n- [Docker Agent vs TradingAgents](https://www.anchorterminal.com/compare/docker-agent-vs-tradingagents.md)\n- [Agent Development Kit (ADK) vs TradingAgents](https://www.anchorterminal.com/compare/google-adk-vs-tradingagents.md)\n- [guilds.run vs TradingAgents](https://www.anchorterminal.com/compare/guilds-run-vs-tradingagents.md)\n- [LangGraph vs TradingAgents](https://www.anchorterminal.com/compare/langgraph-vs-tradingagents.md)\n- [Microsoft Agent Framework vs TradingAgents](https://www.anchorterminal.com/compare/microsoft-agent-framework-vs-tradingagents.md)\n- [OpenAI Agents SDK vs TradingAgents](https://www.anchorterminal.com/compare/openai-agents-sdk-vs-tradingagents.md)\n- [Pydantic AI vs TradingAgents](https://www.anchorterminal.com/compare/pydantic-ai-vs-tradingagents.md)\n", "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": "2026-10-27", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.6", "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": "Cursor Agent SDK vs TradingAgents", "url": "" } ], "description": "TradingAgents scores 64.7 (B) to Cursor Agent SDK's 63.6 (B) for agent frameworks. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Cursor Agent SDK B 63.6", "TradingAgents B 64.7", "scores" ], "h1": "Cursor Agent SDK vs TradingAgents", "image": "https://www.anchorterminal.com/assets/og/compare-cursor-agent-sdk-vs-tradingagents.png", "path": "/compare/cursor-agent-sdk-vs-tradingagents", "published": "2026-10-01", "section": "tools", "title": "Cursor Agent SDK vs TradingAgents for AI agents (2026)", "toc": null, "updated": "2026-10-27", "url": "https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-tradingagents" }, "tokens": { "markdown": 2450, "slim": 680 }, "version": 1 }