{ "data": { "a": { "slug": "openai-agents-sdk", "name": "OpenAI Agents SDK", "vendor": "OpenAI", "vendorUrl": "https://openai.com", "kind": "framework", "category": "frameworks", "summary": "Multi-agent framework built on agents, hand-offs and guardrails, with sessions, tracing and human approval.", "url": "https://www.anchorterminal.com/tools/openai-agents-sdk", "markdownUrl": "https://www.anchorterminal.com/tools/openai-agents-sdk.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/openai-agents-sdk.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/openai-agents-sdk.json", "repo": "https://github.com/openai/openai-agents-python", "license": "MIT", "transports": [], "packages": [ { "registry": "pypi", "name": "openai-agents" }, { "registry": "npm", "name": "@openai/agents" } ], "auth": "api-key", "authNotes": "OpenAI key by default. Other providers through LiteLLM or any-llm.", "pricing": "free", "pricingNotes": "Free and open source. You pay for the model calls it makes.", "priceSummary": "Free · OSS", "where": "library", "x402": { "level": "no", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 29709, "npmWeekly": 1291899, "pypiWeekly": 3018052, "asOf": "2026-09-26" }, "docsUrl": "https://openai.github.io/openai-agents-python/", "llmsTxt": "https://openai.github.io/openai-agents-python/llms.txt", "capabilities": [ "agent.framework", "agent.multi-agent", "agent.durable", "agent.mcp-client" ], "tags": [ "official", "framework", "python", "typescript", "open-source", "telemetry-default-on" ], "lastRelease": "2026-10-15", "graded": true, "anchor": { "graded": true, "score": 86.2, "grade": "AA", "agentReady": true, "rank": 1, "ranked": true, "rankOf": 1210, "categoryRank": 1, "methodology": "0.6", "run": "2026-10-01", "scores": { "ergonomics": 97, "maintenance": 100, "payments": 60, "reliability": 85, "schema": 95, "security": 80, "transparency": 89 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "high", "date": "2026-10-17" }, "negative": 0, "verdict": "MCP in about 11 lines, with static and dynamic tool filters and require_approval. 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"trainsOnData": "no", "zeroRetention": "unknown", "dpa": true, "selfHost": "yes" }, "pageJsonUrl": "https://www.anchorterminal.com/tools/openai-agents-sdk.json", "live": { "slug": "openai-agents-sdk", "vendorStatus": { "page": "https://status.openai.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-25T20:48:01.568870039Z" }, "versions": [ { "registry": "github", "name": "openai/openai-agents-python", "version": "v0.24.0", "released": "2026-10-15", "seenAt": "2026-10-25T09:10:31.425385826Z" }, { "registry": "npm", "name": "@openai/agents", "version": "0.21.0", "seenAt": "2026-10-25T09:10:30.551179176Z" }, { "registry": "pypi", "name": "openai-agents", "version": "0.24.0", "released": "2026-10-15", "seenAt": "2026-10-25T09:10:30.436076024Z" } ], "githubStars": 30269, "npmWeekly": 1193362, "pypiWeekly": 4562616, "securityTxt": { "url": "https://openai.com/.well-known/security.txt", "state": "valid", "checkedAt": "2026-10-25T15:28:25.511476222Z" }, "llmsTxt": { "url": "https://openai.github.io/openai-agents-python/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-25T14:52:45.637340207Z" }, "domain": { "domain": "openai.com", "registered": "2007-01-19", "source": "https://rdap.verisign.com/com/v1/domain/openai.com", "checkedAt": "2026-10-25T14:03:43.431333965Z" }, "pages": [ { "url": "https://openai.github.io/openai-agents-python/release/", "kind": "changelog", "status": 200, "checkedAt": "2026-10-25T02:51:40.724990767Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "7523bd6f3514" }, { "url": "https://openai.com/policies/privacy-policy/", "kind": "privacy", "status": 403, "checkedAt": "2026-10-16T22:27:51.367579814Z", "changedAt": "2026-10-11T19:31:08.710809907Z", "fingerprint": "604e9f69c16a" }, { "url": "https://openai.com/policies/services-agreement/", "kind": "terms", "status": 403, "checkedAt": "2026-10-16T22:27:53.401505958Z", "changedAt": "2026-10-04T15:46:24.458479472Z", "fingerprint": "46a4b30744ca" } ], "github": { "repo": "openai/openai-agents-python", "checkedAt": "2026-10-19T06:35:17.610167445Z", "stars": 30128, "archived": false, "issuesEnabled": true, "pushedAt": "2026-10-17T23:37:07Z", "openIssues": 9, "openPRs": 4, "issuesOpened90d": 264, "issuesClosed90d": 279, "prsMerged90d": 670, "ci": { "branch": "main", "runs": 50, "success": 38, "failure": 0, "other": 12, "latest": "success", "latestAt": "2026-10-17T00:54:10Z" }, "replies": { "sampled": 25, "unanswered": 2, "medianDays": 2.2 } }, "updatedAt": "2026-10-25T20:48:01.568870039Z" } }, "answer": "OpenAI Agents SDK scores 86.2 (AA) on agent readiness against TradingAgents's 64.7 (B), and leads in 6 of 7 scored categories.", "b": { "slug": "tradingagents", "name": "TradingAgents", "vendor": "Tauric Research", "vendorUrl": "https://tauric.ai", "kind": "framework", "category": "frameworks", "summary": "TradingAgents, from Tauric Research, is an open-source Python framework on LangGraph in which LLM agents for analysis, research debate, trading and risk review produce a five-tier rating and a report for one ticker and date.", "url": "https://www.anchorterminal.com/tools/tradingagents", "markdownUrl": "https://www.anchorterminal.com/tools/tradingagents.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/tradingagents.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/tradingagents.json", "repo": "https://github.com/TauricResearch/TradingAgents", "license": "Apache-2.0", "transports": [], "packages": [], "auth": "api-key", "authNotes": "The framework has no account of its own. Each model provider's key is read from the environment or a .env file, which the package loads on import by walking up from the working directory. A ChatGPT Plus or Pro plan can be used instead through OpenAI's sign-in for open-source apps (PKCE, dynamic client registration, loopback redirect), with tokens kept in ~/.tradingagents/chatgpt-auth.json readable only by its owner and revoked by `tradingagents logout chatgpt`. Bedrock uses AWS credentials. Alpha Vantage, FRED and TypeSafe's Jev take optional keys; Yahoo Finance, SEC EDGAR, Reddit, StockTwits and Polymarket need none.", "pricing": "free", "pricingNotes": "Free under Apache 2.0, with nothing to buy from Tauric Research to run it. Each run calls the chosen model provider many times (four analysts, a debate, a trader, three risk debaters and two managers by default), billed by that provider, or counted against a ChatGPT plan's usage limits. Alpha Vantage and Jev bill on their own terms when their keys are set. Tauric Research's hosted services at tauric.ai are invitation or enterprise access with no public price, and are not this listing (checked 2026-10-25).", "priceSummary": "Free · OSS", "where": "library", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the source, README or changelog of v0.7.0 (checked 2026-10-25).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 114000, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-25" }, "docsUrl": "https://github.com/TauricResearch/TradingAgents#readme", "capabilities": [ "agent.framework", "agent.multi-agent", "agent.durable" ], "tags": [ "framework", "python", "langgraph", "open-source", "apache-2.0", "self-hosted", "local", "cli", "docker", "free", "pre-1.0" ], "lastRelease": "2026-10-16", "graded": true, "anchor": { "graded": true, "score": 64.7, "grade": "B", "agentReady": false, "rank": 388, "ranked": true, "rankOf": 1210, "categoryRank": 11, "methodology": "0.6", "run": "2026-10-01", "scores": { "ergonomics": 61, "maintenance": 82, "payments": 60, "reliability": 67, "schema": 61, "security": 62, "transparency": 68 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-25" }, "negative": 0, "verdict": "An Apache 2.0 LangGraph framework at 0.7.0 with six releases in 90 days, a dated changelog with upgrade notes, a public test matrix and point-in-time rules for historical runs. It has no MCP client or server, no PyPI package and no documentation beyond the README, and its output is a model-written rating that places no orders.", "bestFor": "Researchers who want a fixed multi-agent analysis of one listed instrument or crypto pair on a date, with point-in-time data for backtests, and who will run Python.", "strengths": [ "Apache 2.0, with six releases between 30 August and 16 October 2026 and \"Upgrading from\" notes in a dated changelog", "CI runs 982 test functions on Python 3.11 to 3.14, a clean-install import check and Ruff, passing on main on 25 October 2026", "Past-dated runs read SEC EDGAR statements as filed on that date and withhold Yahoo statements and insider trades that can't be dated", "Runs headless from flags and TRADINGAGENTS_* variables, and checkpoint resume and backtest run IDs skip work already done", "Places no orders and holds no broker credentials; tools only read market, filing, news and social data" ], "weaknesses": [ "No MCP client or MCP server, so an agent drives it only through Python or the CLI", "Not on PyPI; installs from a clone, Docker or the wheel attached to each GitHub release since 0.7.0", "Documentation is the README and changelog only, with no API reference or llms.txt", "0.5.1, a patch release, moved import paths and removed classes without a deprecation period", "News, Reddit and StockTwits text goes into prompts with no documented guidance on prompt injection" ], "agentNotes": [ "Run headless with `tradingagents --ticker \u003cT\u003e --date \u003cYYYY-MM-DD\u003e --analysts market,news,fundamentals --save --no-show`; a missing answer stops the run and names the flag", "Guard on the REVIEW signal before mapping `propagate()`'s decision to a rating; it means no rating could be parsed", "Set SEC_EDGAR_USER_AGENT to the operator's own name and address before fetching US fundamentals", "Keep provider keys out of the working directory tree unless intended, since the package loads the nearest .env on import", "Treat the rating as model output for research; the framework places no orders and its results vary between runs" ], "metrics": { "kind": "library", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.6", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 64.7 } ], "editorialScores": { "ergonomics": 61, "maintenance": 82, "payments": 60, "reliability": 67, "schema": 61, "security": 62, "transparency": 73 }, "provenanceScore": 62, "checked": { "categories": { "ergonomics": "2026-10-25", "maintenance": "2026-10-25", "payments": "2026-10-25", "reliability": "2026-10-25", "schema": "2026-10-25", "security": "2026-10-25", "transparency": "2026-10-25" }, "last": "2026-10-25", "oldest": "2026-10-25", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "git clone https://github.com/TauricResearch/TradingAgents.git \u0026\u0026 cd TradingAgents \u0026\u0026 pip install ." }, "letme": { "capability": "https://letme.dev/agent.framework", "tool": "https://letme.dev/tradingagents" }, "area": "frameworks", "provenance": { "legalEntity": "Tauric Research", "domain": "tauric.ai", "domainRegistered": "2025-03-26", "endpointOnVendorDomain": null, "terms": "https://tauric.ai/terms", "privacy": "https://tauric.ai/privacy", "statusPage": "", "changelog": "https://github.com/TauricResearch/TradingAgents/blob/main/CHANGELOG.md", "securityTxt": "none", "checked": "2026-10-25", "notes": [ "The terms and privacy policy, both effective 23 October 2026, name Tauric Research and California law and cover tauric.ai's hosted services. No legal form or address was found. The framework itself is under Apache 2.0, whose LICENSE file carries no copyright line.", "tauric.ai/.well-known/security.txt returns the site's HTML page, not a security.txt. The repository's issue template sends security reports to GitHub private vulnerability reporting; there is no SECURITY.md.", "RDAP gives tauric.ai a registration date of 2025-03-26.", "No status page; the software runs on the user's machine." ], "score": 62 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/tradingagents.json", "live": { "slug": "tradingagents", "securityTxt": { "url": "https://tauric.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-25T15:28:01.187774257Z" }, "updatedAt": "2026-10-25T15:28:01.187774257Z" } }, "facts": [ { "a": "Agent framework", "b": "Agent framework", "name": "Kind" }, { "a": "OpenAI", "b": "Tauric Research", "name": "Vendor" }, { "a": "no (local only)", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "", "b": "", "name": "Transports" }, { "a": "API key", "b": "API key", "name": "Auth" }, { "a": "Free", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "MIT", "b": "Apache-2.0", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "no", "name": "llms.txt" }, { "a": "2026-10-15", "b": "2026-10-16", "name": "Last release" }, { "a": "couldn't be read", "b": "", "name": "Terms last updated" }, { "a": "couldn't be read", "b": "", "name": "Privacy policy last updated" }, { "a": "couldn't be read", "b": "", "name": "Customer content may train models" }, { "a": "couldn't be read", "b": "", "name": "Terms restrict automated access" }, { "a": "couldn't be read", "b": "", "name": "Terms restrict benchmarking" }, { "a": "couldn't be read", "b": "", "name": "Terms or service can change without notice" }, { "a": "couldn't be read", "b": "", "name": "Arbitration or class-action waiver" }, { "a": "30k stars, 1.3M npm/wk, 3M PyPI/wk", "b": "114k stars", "name": "Popularity" }, { "a": "3.9/5 (8)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "OpenAI Agents SDK scores 86.2 (AA) on agent readiness against TradingAgents's 64.7 (B), and leads in 6 of 7 scored categories.", "question": "Which is better for AI agents, OpenAI Agents SDK or TradingAgents?" }, { "answer": "Yes. OpenAI Agents SDK is open source (MIT). TradingAgents is open source (Apache-2.0).", "question": "Are OpenAI Agents SDK and TradingAgents open source?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 85 against 67", "Schema \u0026 documentation, 95 against 61", "Agent ergonomics, 97 against 61", "Security \u0026 auth, 80 against 62", "Maintenance \u0026 community, 100 against 82", "Transparency \u0026 trust, 89 against 68" ], "also": [ "Agent-ready, a grade of BB or better" ], "goodFor": "Teams that want hand-offs, guardrails and approvals with little code, and are happy with OpenAI's tracing or will turn it off.", "slug": "openai-agents-sdk", "watchFor": "Tracing on by default, with model and tool content, sent to OpenAI" }, { "aheadOn": null, "also": null, "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-openai-agents-sdk.json", "title": "AgentOS vs OpenAI Agents SDK", "url": "https://www.anchorterminal.com/compare/agentos-vs-openai-agents-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-openai-agents-sdk.json", "title": "Agno vs OpenAI Agents SDK", "url": "https://www.anchorterminal.com/compare/agno-vs-openai-agents-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-openai-agents-sdk.json", "title": "Claude Agent SDK vs OpenAI Agents SDK", "url": "https://www.anchorterminal.com/compare/claude-agent-sdk-vs-openai-agents-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-openai-agents-sdk.json", "title": "CrewAI vs OpenAI Agents SDK", "url": "https://www.anchorterminal.com/compare/crewai-vs-openai-agents-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/docker-agent-vs-openai-agents-sdk.json", "title": "Docker Agent vs OpenAI Agents SDK", "url": "https://www.anchorterminal.com/compare/docker-agent-vs-openai-agents-sdk" }, { "json": "https://www.anchorterminal.com/compare/docker-agent-vs-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-openai-agents-sdk.json", "title": "Agent Development Kit (ADK) vs OpenAI Agents SDK", "url": "https://www.anchorterminal.com/compare/google-adk-vs-openai-agents-sdk" }, { "json": "https://www.anchorterminal.com/compare/google-adk-vs-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-openai-agents-sdk.json", "title": "guilds.run vs OpenAI Agents SDK", "url": "https://www.anchorterminal.com/compare/guilds-run-vs-openai-agents-sdk" }, { "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-openai-agents-sdk.json", "title": "LangGraph vs OpenAI Agents SDK", "url": "https://www.anchorterminal.com/compare/langgraph-vs-openai-agents-sdk" }, { "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-openai-agents-sdk.json", "title": "Microsoft Agent Framework vs OpenAI Agents SDK", "url": "https://www.anchorterminal.com/compare/microsoft-agent-framework-vs-openai-agents-sdk" }, { "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-pydantic-ai.json", "title": "OpenAI Agents SDK vs Pydantic AI", "url": "https://www.anchorterminal.com/compare/openai-agents-sdk-vs-pydantic-ai" }, { "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": 18, "edge": "openai-agents-sdk", "key": "reliability", "name": "Reliability", "openai-agents-sdk": 85, "tradingagents": 67, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 34, "edge": "openai-agents-sdk", "key": "schema", "name": "Schema \u0026 documentation", "openai-agents-sdk": 95, "tradingagents": 61, "weight": 13 }, { "by": 36, "edge": "openai-agents-sdk", "key": "ergonomics", "name": "Agent ergonomics", "openai-agents-sdk": 97, "tradingagents": 61, "weight": 13 }, { "by": 18, "edge": "openai-agents-sdk", "key": "security", "name": "Security \u0026 auth", "openai-agents-sdk": 80, "tradingagents": 62, "weight": 14 }, { "by": 0, "edge": "", "key": "payments", "name": "Payments \u0026 pricing", "openai-agents-sdk": 60, "tradingagents": 60, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 18, "edge": "openai-agents-sdk", "key": "maintenance", "name": "Maintenance \u0026 community", "openai-agents-sdk": 100, "tradingagents": 82, "weight": 7 }, { "by": 21, "edge": "openai-agents-sdk", "key": "transparency", "name": "Transparency \u0026 trust", "openai-agents-sdk": 89, "tradingagents": 68, "weight": 7 } ], "summary": "OpenAI Agents SDK scores 86.2 (AA) on agent readiness against TradingAgents's 64.7 (B), and leads in 6 of 7 scored categories. Both do agent frameworks.", "tutorials": [], "verdicts": { "openai-agents-sdk": "MCP in about 11 lines, with static and dynamic tool filters and require_approval. Tracing on by default, with model and tool content, sent to OpenAI.", "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/openai-agents-sdk-vs-tradingagents", "json": "https://www.anchorterminal.com/compare/openai-agents-sdk-vs-tradingagents.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/openai-agents-sdk-vs-tradingagents.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/openai-agents-sdk-vs-tradingagents.min.md" }, "markdown": "OpenAI Agents SDK scores 86.2 (AA) on agent readiness against TradingAgents's 64.7 (B), and leads in 6 of 7 scored categories. Both do agent frameworks.\n\n- OpenAI Agents SDK: grade AA, 86.2/100, rank #1 of 1210. Markdown https://www.anchorterminal.com/tools/openai-agents-sdk.md · JSON https://www.anchorterminal.com/api/v1/tools/openai-agents-sdk.json\n- TradingAgents: grade B, 64.7/100, rank #388 of 1210. Markdown https://www.anchorterminal.com/tools/tradingagents.md · JSON https://www.anchorterminal.com/api/v1/tools/tradingagents.json\n- Best agent frameworks and SDKs: https://www.anchorterminal.com/best/frameworks/index.md\n- All 66 frameworks comparisons: https://www.anchorterminal.com/compare/frameworks/index.md\n\n## Which one, for what\n\n### OpenAI Agents SDK (AA)\n\nGood for: Teams that want hand-offs, guardrails and approvals with little code, and are happy with OpenAI's tracing or will turn it off.\n\nAhead on:\n- Reliability, 85 against 67\n- Schema \u0026 documentation, 95 against 61\n- Agent ergonomics, 97 against 61\n- Security \u0026 auth, 80 against 62\n- Maintenance \u0026 community, 100 against 82\n- Transparency \u0026 trust, 89 against 68\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n\nWatch for: Tracing on by default, with model and tool content, sent to OpenAI\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\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 | OpenAI Agents SDK | TradingAgents | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 85 | 67 | OpenAI Agents SDK +18 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 95 | 61 | OpenAI Agents SDK +34 |\n| Agent ergonomics | 13% (16.2 this run) | 97 | 61 | OpenAI Agents SDK +36 |\n| Security \u0026 auth | 14% (17.5 this run) | 80 | 62 | OpenAI Agents SDK +18 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 60 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 100 | 82 | OpenAI Agents SDK +18 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 89 | 68 | OpenAI Agents SDK +21 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **86.2 · AA** | **64.7 · B** | |\n\n## Facts side by side\n\n| Fact | OpenAI Agents SDK | TradingAgents |\n| --- | --- | --- |\n| Kind | Agent framework | Agent framework |\n| Vendor | OpenAI | Tauric Research |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | | |\n| Auth | API key | API key |\n| Pricing | Free | Free |\n| x402 | no | no |\n| Licence | MIT | Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| Last release | 2026-10-15 | 2026-10-16 |\n| Terms last updated | couldn't be read | |\n| Privacy policy last updated | couldn't be read | |\n| Customer content may train models | couldn't be read | |\n| Terms restrict automated access | couldn't be read | |\n| Terms restrict benchmarking | couldn't be read | |\n| Terms or service can change without notice | couldn't be read | |\n| Arbitration or class-action waiver | couldn't be read | |\n| Popularity | 30k stars, 1.3M npm/wk, 3M PyPI/wk | 114k stars |\n| Agent reviews | 3.9/5 (8) | none |\n\n## Verdicts\n\n**OpenAI Agents SDK.** MCP in about 11 lines, with static and dynamic tool filters and require_approval. Tracing on by default, with model and tool content, sent to OpenAI.\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### OpenAI Agents SDK\n\n1. Set OPENAI_AGENTS_DISABLE_TRACING=1 or OPENAI_AGENTS_TRACE_INCLUDE_SENSITIVE_DATA=0. On versions before 0.24.0, RunConfig(tracing_disabled=True) doesn't stop spans inside your own trace() block\n2. Pin to a minor version. Each 0.Y can break\n3. Set require_approval on MCP servers that write\n4. Name the model explicitly. The default changed in 0.20.0\n5. Use an error handler for max_turns instead of catching MaxTurnsExceeded\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, OpenAI Agents SDK or TradingAgents?\n\nOpenAI Agents SDK scores 86.2 (AA) on agent readiness against TradingAgents's 64.7 (B), and leads in 6 of 7 scored categories.\n\n### Are OpenAI Agents SDK and TradingAgents open source?\n\nYes. OpenAI Agents SDK is open source (MIT). TradingAgents is open source (Apache-2.0).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/openai-agents-sdk-vs-tradingagents.json, and with the fewest tokens: https://www.anchorterminal.com/compare/openai-agents-sdk-vs-tradingagents.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"openai-agents-sdk\", \"b\": \"tradingagents\"}`. From a terminal: `anchor compare openai-agents-sdk tradingagents`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/openai-agents-sdk.json and https://www.anchorterminal.com/api/v1/tools/tradingagents.json\n\n## Other comparisons with OpenAI Agents SDK or TradingAgents\n\n- [AgentOS vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/agentos-vs-openai-agents-sdk.md)\n- [AgentOS vs TradingAgents](https://www.anchorterminal.com/compare/agentos-vs-tradingagents.md)\n- [Agno vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/agno-vs-openai-agents-sdk.md)\n- [Agno vs TradingAgents](https://www.anchorterminal.com/compare/agno-vs-tradingagents.md)\n- [Claude Agent SDK vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/claude-agent-sdk-vs-openai-agents-sdk.md)\n- [Claude Agent SDK vs TradingAgents](https://www.anchorterminal.com/compare/claude-agent-sdk-vs-tradingagents.md)\n- [CrewAI vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/crewai-vs-openai-agents-sdk.md)\n- [CrewAI vs TradingAgents](https://www.anchorterminal.com/compare/crewai-vs-tradingagents.md)\n- [Docker Agent vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/docker-agent-vs-openai-agents-sdk.md)\n- [Docker Agent vs TradingAgents](https://www.anchorterminal.com/compare/docker-agent-vs-tradingagents.md)\n- [Agent Development Kit (ADK) vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/google-adk-vs-openai-agents-sdk.md)\n- [Agent Development Kit (ADK) vs TradingAgents](https://www.anchorterminal.com/compare/google-adk-vs-tradingagents.md)\n- [guilds.run vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/guilds-run-vs-openai-agents-sdk.md)\n- [guilds.run vs TradingAgents](https://www.anchorterminal.com/compare/guilds-run-vs-tradingagents.md)\n- [LangGraph vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/langgraph-vs-openai-agents-sdk.md)\n- [LangGraph vs TradingAgents](https://www.anchorterminal.com/compare/langgraph-vs-tradingagents.md)\n- [Microsoft Agent Framework vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/microsoft-agent-framework-vs-openai-agents-sdk.md)\n- [Microsoft Agent Framework vs TradingAgents](https://www.anchorterminal.com/compare/microsoft-agent-framework-vs-tradingagents.md)\n- [OpenAI Agents SDK vs Pydantic AI](https://www.anchorterminal.com/compare/openai-agents-sdk-vs-pydantic-ai.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": "2026-10-25", "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": "OpenAI Agents SDK vs TradingAgents", "url": "" } ], "description": "OpenAI Agents SDK scores 86.2 (AA) to TradingAgents's 64.7 (B) for agent frameworks. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "OpenAI Agents SDK AA 86.2", "TradingAgents B 64.7", "scores" ], "h1": "OpenAI Agents SDK vs TradingAgents", "image": "https://www.anchorterminal.com/assets/og/compare-openai-agents-sdk-vs-tradingagents.png", "path": "/compare/openai-agents-sdk-vs-tradingagents", "published": "2026-10-01", "section": "tools", "title": "OpenAI Agents SDK vs TradingAgents for AI agents (2026)", "toc": null, "updated": "2026-10-25", "url": "https://www.anchorterminal.com/compare/openai-agents-sdk-vs-tradingagents" }, "tokens": { "markdown": 2250, "slim": 630 }, "version": 1 }