{ "data": { "a": { "slug": "smolagents", "name": "smolagents", "vendor": "Hugging Face", "vendorUrl": "https://github.com/huggingface/smolagents", "kind": "framework", "category": "frameworks", "summary": "smolagents is Hugging Face's small Python library for agents that write and run Python code (CodeAgent) or call tools as JSON (ToolCallingAgent), with MCP tools, any model provider and sandboxed execution through E2B, Docker, Modal or Blaxel.", "url": "https://www.anchorterminal.com/tools/smolagents", "markdownUrl": "https://www.anchorterminal.com/tools/smolagents.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/smolagents.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/smolagents.json", "dns": "smolagents.grade.anchorterminal.com", "repo": "https://github.com/huggingface/smolagents", "license": "Apache-2.0", "transports": [], "packages": [ { "registry": "pypi", "name": "smolagents" } ], "auth": "none", "authNotes": "A library with no credentials of its own. The default InferenceClientModel uses a Hugging Face token; other providers and remote sandboxes take their own keys.", "pricing": "free", "pricingNotes": "Free and open source under Apache-2.0. You pay for model calls and for any remote sandbox (E2B, Modal, Blaxel) you use.", "priceSummary": "Free · OSS", "where": "library", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs or the repository (checked 2026-11-06).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 30234, "npmWeekly": null, "pypiWeekly": 171063, "asOf": "2026-11-06" }, "docsUrl": "https://huggingface.co/docs/smolagents/index", "llmsTxt": "https://huggingface.co/docs/smolagents/llms.txt", "capabilities": [ "agent.framework", "agent.mcp-client", "agent.multi-agent" ], "tags": [ "framework", "python", "open-source", "llms-txt", "mcp", "code-agent", "sandbox" ], "lastRelease": "2026-05-29", "graded": true, "anchor": { "graded": true, "score": 58.7, "grade": "C", "agentReady": false, "rank": 735, "ranked": true, "rankOf": 1486, "categoryRank": 18, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 68, "maintenance": 34, "payments": 60, "reliability": 64, "schema": 81, "security": 66, "transparency": 65 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-06" }, "negative": -6, "negativeNotes": [ "2025-12-23 to 2026-03-27. GHSA-q9r5-6hrr-9ph7 (CVE-2025-14931, critical, from the Zero Day Initiative) reports remote code execution through pickle deserialisation in the remote Python executor; the fix for remote executors merged on 15 February 2026, about eight weeks after publication. CVE-2026-2654 (SSRF, 1.24.0) and CVE-2026-4963 (code injection in LocalPythonExecutor, an incomplete earlier fix) are rated low, and both records say the vendor did not respond. Fixed or low, under 12 months old, 6 points. https://osv.dev/vulnerability/GHSA-q9r5-6hrr-9ph7" ], "verdict": "A compact Python library for code-writing and tool-calling agents, with MCP tools, any model provider and remote sandboxes through E2B, Docker, Modal or Blaxel. The newest release is 1.26.0 of 29 May 2026, a critical remote-executor RCE took about eight weeks to fix, and the local executor isn't a security boundary.", "bestFor": "Small Python projects and research that want code-writing agents with minimal abstraction.", "strengths": [ "CodeAgent and ToolCallingAgent in a small, readable codebase", "MCP tools from any server through MCPClient", "Remote execution through E2B, Docker, Modal or Blaxel, with a guide on when it's needed", "No telemetry found in the source", "llms.txt and Markdown docs on huggingface.co" ], "weaknesses": [ "No release since 1.26.0 on 29 May 2026, and few commits to main since August", "The local Python executor isn't a security boundary, per its own guide", "A critical RCE in the remote executor (published December 2025) was fixed in February 2026", "No human approval hook, retry or resume built in", "Breaking removals such as WasmExecutor shipped in minor releases" ], "agentNotes": [ "Run CodeAgent with `executor_type` set to e2b, docker, modal or blaxel whenever the model or its inputs aren't trusted", "Use smolagents 1.24.0 or later to get the remote-executor deserialisation fix", "Set max_steps and final_answer_checks so a run stops on its own", "Pass structured_output explicitly to MCPClient to avoid the default-change warning", "Pin the version, since minor releases have removed APIs" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 58.7 } ], "editorialScores": { "ergonomics": 68, "maintenance": 34, "payments": 60, "reliability": 64, "schema": 81, "security": 66, "transparency": 67 }, "provenanceScore": 62, "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 smolagents # MCP: pip install 'smolagents[mcp]'" }, "letme": { "capability": "https://letme.dev/agent.framework", "tool": "https://letme.dev/smolagents" }, "sameCompany": [ "hugging-face-inference-providers", "hugging-face-inference-endpoints", "carbon-x", "smollm3-3b" ], "area": "frameworks", "provenance": { "legalEntity": "Hugging Face, Inc.", "domain": "huggingface.co", "domainRegistered": "", "endpointOnVendorDomain": null, "terms": "https://huggingface.co/terms-of-service", "privacy": "https://huggingface.co/privacy", "statusPage": "", "changelog": "https://github.com/huggingface/smolagents/releases", "securityTxt": "unknown", "checked": "2026-11-06", "notes": [ "SECURITY.md takes reports through GitHub private vulnerability reporting or security@huggingface.co, with no bounty.", "huggingface.co/robots.txt allows all crawlers.", "The terms and privacy links are Hugging Face's site-wide documents; the library itself collects nothing." ], "score": 62 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/smolagents.json", "live": { "slug": "smolagents", "versions": [ { "registry": "github", "name": "huggingface/smolagents", "version": "v1.26.0", "released": "2026-05-29", "seenAt": "2026-11-07T00:06:55.865567193Z" }, { "registry": "pypi", "name": "smolagents", "version": "1.26.0", "released": "2026-05-29", "seenAt": "2026-11-07T00:06:55.546186347Z" } ], "githubStars": 30238, "pypiWeekly": 171063, "securityTxt": { "url": "https://huggingface.co/.well-known/security.txt", "state": "valid", "expires": "2030-07-01T08:42:00.000Z", "checkedAt": "2026-11-07T16:00:00.493446773Z" }, "llmsTxt": { "url": "https://huggingface.co/docs/smolagents/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-07T15:33:57.593545427Z" }, "updatedAt": "2026-11-07T16:00:00.493446773Z" } }, "answer": "TradingAgents scores 61.4 (C) on agent readiness against smolagents's 58.7 (C), and leads in 2 of 7 scored categories. smolagents leads on reliability, schema \u0026 documentation and agent ergonomics.", "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", "dns": "tradingagents.grade.anchorterminal.com", "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": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-11-02" }, "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": "2026-10-27", "graded": true, "anchor": { "graded": true, "score": 61.4, "grade": "C", "agentReady": false, "rank": 614, "ranked": true, "rankOf": 1486, "categoryRank": 16, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 61, "maintenance": 78, "payments": 60, "reliability": 52, "schema": 61, "security": 62, "transparency": 68 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-02" }, "negative": 0, "verdict": "An Apache 2.0 LangGraph framework at 0.7.1 with seven 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 seven releases between 31 August and 27 October 2026 and \"Upgrading from\" notes in a dated changelog", "CI runs about 1,009 test functions on Python 3.11 to 3.14, a clean-install import check and Ruff on every push and pull request", "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": "C", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 61.4 } ], "editorialScores": { "ergonomics": 61, "maintenance": 78, "payments": 60, "reliability": 52, "schema": 61, "security": 62, "transparency": 73 }, "provenanceScore": 62, "checked": { "categories": { "ergonomics": "2026-11-02", "maintenance": "2026-11-02", "payments": "2026-11-02", "reliability": "2026-11-02", "schema": "2026-11-02", "security": "2026-11-02", "transparency": "2026-11-02" }, "last": "2026-11-02", "lastMoved": "2026-11-02", "oldest": "2026-11-02", "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": "2026-11-02", "notes": [ "The terms and privacy policy, both effective 31 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 answered 404 on 2 November 2026 (on 25 October it returned the site's HTML page). 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.", "tauric.ai's robots.txt carries Content-Signal: ai-train=yes, search=yes, ai-input=yes." ], "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": "2026-11-07T00:12:38.886880905Z" } ], "githubStars": 121015, "securityTxt": { "url": "https://tauric.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-07T16:01:04.508537721Z" }, "domain": { "domain": "tauric.ai", "registered": "2025-03-26", "source": "https://rdap.identitydigital.services/rdap/domain/tauric.ai", "checkedAt": "2026-11-01T14:17:50.711505753Z" }, "pages": [ { "url": "https://raw.githubusercontent.com/TauricResearch/TradingAgents/main/CHANGELOG.md", "kind": "deprecations", "status": 304, "checkedAt": "2026-11-07T14:19:27.182748345Z", "changedAt": "2026-10-28T04:42:43.2803853Z", "fingerprint": "17477e48440b" }, { "url": "https://tauric.ai/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-11-07T14:21:51.458749311Z", "changedAt": "2026-11-06T13:43:19.647848599Z", "fingerprint": "d55215742695" }, { "url": "https://tauric.ai/terms", "kind": "terms", "status": 200, "checkedAt": "2026-11-07T14:21:53.696550753Z", "changedAt": "2026-11-06T13:43:21.904160871Z", "fingerprint": "9a81673b9bce" } ], "github": { "repo": "tauricresearch/tradingagents", "checkedAt": "2026-11-02T08:27:02.133359759Z", "stars": 119716, "archived": false, "issuesEnabled": true, "pushedAt": "2026-10-27T08:43:04Z", "openIssues": 38, "openPRs": 68, "issuesOpened90d": 100, "issuesClosed90d": 228, "prsMerged90d": 15, "ci": { "branch": "main", "runs": 43, "success": 43, "failure": 0, "other": 0, "latest": "success", "latestAt": "2026-10-27T08:39:50Z" }, "replies": { "sampled": 25, "unanswered": 3, "medianDays": 4.6 } }, "updatedAt": "2026-11-07T16:01:04.508537721Z" } }, "edges": [ { "by": 44, "category": "maintenance", "leads": "tradingagents", "name": "Maintenance \u0026 community", "reasons": { "a": "v1.26.0 on 29 May 2026, 161 days before this check (10). No release in the 90 days to 6 November (0). 416 open issues and 1,045 open issues and pull requests on 6 November, with 144 issues opened in the 90 days to 3 November. Of the 50 newest, 26 had a comment and 1 was closed. Two 2026 CVE records say the vendor didn't respond to the reporter, and seven commits reached main from 8 August to 6 November (6). Python only, and the package is the current one (10). CI with actions pinned to commit SHAs and Dependabot for actions (8). 10+0+6+10+8 = 34.", "b": "0.7.1 on 27 October 2026 (30). Seven releases in the 90 days to 2 November, 0.4.0 (31 August), 0.5.0, 0.5.1, 0.5.2, 0.6.0, 0.7.0 and 0.7.1 (20). The earlier issue and pull request counts came from shields.io and are struck. On the clone, fixes cite issue numbers and each release credits the people who reported or fixed them (15 outside contributors in 0.7.1), but 251 of the 258 commits since 4 August are by one maintainer's accounts and reply times couldn't be read (13 of 25, as pipecat on clone evidence). No PyPI package; versions ship as GitHub releases with a wheel since 0.7.0 (8 of 15). CI with tests, lint and a clean-install check; dependencies set lower bounds only and no Dependabot configuration is in the repository (7 of 10). 30+20+13+8+7 = 78." }, "scores": { "a": 34, "b": 78 } }, { "by": 20, "category": "schema", "leads": "smolagents", "name": "Schema \u0026 documentation", "reasons": { "a": "Framework reading. A typed Python API with reference pages for agents, models, tools and executors (22). llms.txt and Markdown pages on huggingface.co (10). The docs say when to use CodeAgent or ToolCallingAgent and when a sandbox is needed (17). Tools declare typed inputs in a schema dictionary or from a decorated function (12). Many runnable examples; error classes exist but aren't catalogued (10). Versions tagged with release notes, no changelog file (10). 22+10+17+12+10+10 = 81.", "b": "Framework reading. No API reference or docs site. Typed interfaces exist in the source, Pydantic models for the research manager's, trader's and portfolio manager's outputs and Annotated signatures on the twelve data tools, with no py.typed marker (10 of 25). The README and changelog are Markdown in the repository; no llms.txt (4 of 10). The README states limits plainly, that runs vary, which statements past-dated runs withhold and why, and that it is a research tool, not advice (15 of 20). Configuration is a plain dict of string keys, though environment overrides are coerced to the default's type and fail loudly on a bad value (8 of 15). Runnable Python and CLI examples throughout the README; the vendor error hierarchy is documented only in source docstrings (9 of 15). Dated changelog for every release from 0.1.0 with upgrade notes (15)." }, "scores": { "a": 81, "b": 61 } }, { "by": 12, "category": "reliability", "leads": "smolagents", "name": "Reliability", "reasons": { "a": "Local-package reading. Official PyPI package with Python 3.10 or newer (20). A public tests workflow runs pytest on Python 3.10 and 3.12 for pushes and pull requests; whether main passes wasn't read (15). 416 open issues and 1,045 open issues and pull requests on 6 November, with 144 issues opened in the 90 days to 3 November. Of the 50 newest, 26 had a comment and 1 was closed. Two 2026 CVE records say the vendor didn't respond to the reporter, and seven commits reached main from 8 August to 6 November (6). Release notes on GitHub tags but no changelog file, and the remote WasmExecutor was removed in a minor release (8). 1.0 since 31 December 2024 (15). 20+15+6+8+15 = 64.", "b": "Read with the local-software lines, because the owner runs it. Python 3.11 or later is stated and CI tests 3.11 to 3.14, but the project publishes no PyPI package. No workflow uploads one, and the README installs from a clone or Docker Compose. From 0.7.0 a release workflow builds a wheel and source archive from each tag and attaches them to the GitHub release (12 of 20). Public CI on every push and pull request runs the test suite (about 1,009 test functions at v0.7.1) on four Python versions and once in America/New_York, a clean-install import check and Ruff. The 25 October check read the pass state from shields.io, a third-party copy of GitHub data this run doesn't use, so that reading is struck, and the pass state on main is unread (15, as berth and agentvfs). Issue counts came from the same source and are struck too. On the clone, 0.7.1 (27 October) fixes 22 numbered issues, 17 of them above #1518, the newest fixed in 0.7.0 on 16 October, and credits 15 outside contributors; open crash or regression issues and reply times are unread (15, as berth on the same pattern). The changelog follows Keep a Changelog and Semantic Versioning and lists breaking changes under \"Upgrading from\", but 0.5.1, a patch release, moved import paths and removed classes (10 of 15). Version 0.7.1 with no stability statement (0). 12+15+15+10+0 = 52." }, "scores": { "a": 64, "b": 52 } }, { "by": 7, "category": "ergonomics", "leads": "smolagents", "name": "Agent ergonomics", "reasons": { "a": "Framework reading. MCPClient loads an MCP server's tools in a few lines (20). max_steps, planning intervals and final_answer_checks bound a run (16). Errors from tools and code go back to the model as observations (14). No built-in retry, idempotency or resume beyond replaying memory (8). Few required parameters and many providers, Python only, and the default model needs a Hugging Face token (10). 20+16+14+8+10 = 68.", "b": "Framework reading, scored on what an outside agent needs to call it. No MCP client or server, so it can't be attached as tools; a run is four lines of Python (`TradingAgentsGraph(config=...).propagate(ticker, date)`) or one headless CLI command with flags (10 of 25). Analyst selection, debate and risk rounds (default 1), `max_tool_rounds` (20), `max_recur_limit` (100), article limits and `--no-html` size a run (14 of 20). A typed vendor error hierarchy separates unavailable from absent data, the headless CLI names the missing flag before a run starts, and an unparseable decision returns REVIEW rather than Hold (15 of 20). Checkpoint resume is opt-in, a backtest rerun with the same `run_id` skips finished cells, and settlement writes each decision once; nothing writes to an outside system (15 of 20). Sensible defaults, but the default provider is OpenAI's GPT-6 models with a key, and Python only (7 of 15)." }, "scores": { "a": 68, "b": 61 } } ], "facts": [ { "a": "Agent framework", "b": "Agent framework", "name": "Kind" }, { "a": "Hugging Face", "b": "Tauric Research", "name": "Vendor" }, { "a": "no (local only)", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "", "b": "", "name": "Transports" }, { "a": "None", "b": "API key", "name": "Auth" }, { "a": "Free", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0", "b": "Apache-2.0", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "no", "name": "llms.txt" }, { "a": "2026-05-29", "b": "2026-10-27", "name": "Last release" }, { "a": "2022-09-15", "b": "2026-10-23", "name": "Terms last updated" }, { "a": "2023-03-28", "b": "2026-10-23", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "not found in the text", "name": "Terms restrict automated access" }, { "a": "not found in the text", "b": "not found in the text", "name": "Terms restrict benchmarking" }, { "a": "yes", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "not found in the text", "b": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "30k stars, 171k PyPI/wk", "b": "none", "name": "Popularity" } ], "faq": [ { "answer": "TradingAgents scores 61.4 (C) on agent readiness against smolagents's 58.7 (C), and leads in 2 of 7 scored categories. smolagents leads on reliability, schema \u0026 documentation and agent ergonomics.", "question": "Which is better for AI agents, smolagents or TradingAgents?" }, { "answer": "Yes. smolagents is open source (Apache-2.0). TradingAgents is open source (Apache-2.0).", "question": "Are smolagents and TradingAgents open source?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 64 against 52", "Schema \u0026 documentation, 81 against 61", "Agent ergonomics, 68 against 61" ], "also": [ "No key needed to call it" ], "goodFor": "Small Python projects and research that want code-writing agents with minimal abstraction.", "slug": "smolagents", "watchFor": "No release since 1.26.0 on 29 May 2026, and few commits to main since August" }, { "aheadOn": [ "Maintenance \u0026 community, 78 against 34" ], "also": [ "No incidents deducted, where smolagents loses 6 points for them" ], "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" } ], "history": { "smolagents": null, "tradingagents": [ { "causes": [ "correction" ], "date": "2026-11-02", "delta": -3.3, "from": 64.7, "fromGrade": "B", "to": 61.4, "toGrade": "C" }, { "causes": [ "method" ], "date": "2026-10-30", "delta": -0.1, "from": 64.8, "fromGrade": "B", "to": 64.7, "toGrade": "B" }, { "causes": [ "method" ], "date": "2026-10-27", "delta": 0.1, "from": 64.7, "fromGrade": "B", "to": 64.8, "toGrade": "B" } ] }, "job": { "capability": "agent.framework", "name": "Agent frameworks" }, "others": [ { "json": "https://www.anchorterminal.com/compare/agentos-vs-smolagents.json", "title": "AgentOS vs smolagents", "url": "https://www.anchorterminal.com/compare/agentos-vs-smolagents" }, { "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-smolagents.json", "title": "Agno vs smolagents", "url": "https://www.anchorterminal.com/compare/agno-vs-smolagents" }, { "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/boxlang-ai-vs-smolagents.json", "title": "BoxLang AI vs smolagents", "url": "https://www.anchorterminal.com/compare/boxlang-ai-vs-smolagents" }, { "json": "https://www.anchorterminal.com/compare/boxlang-ai-vs-tradingagents.json", "title": "BoxLang AI vs TradingAgents", "url": "https://www.anchorterminal.com/compare/boxlang-ai-vs-tradingagents" }, { "json": "https://www.anchorterminal.com/compare/claude-agent-sdk-vs-smolagents.json", "title": "Claude Agent SDK vs smolagents", "url": "https://www.anchorterminal.com/compare/claude-agent-sdk-vs-smolagents" }, { "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-smolagents.json", "title": "CrewAI vs smolagents", "url": "https://www.anchorterminal.com/compare/crewai-vs-smolagents" }, { "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-smolagents.json", "title": "Cursor Agent SDK vs smolagents", "url": "https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-smolagents" }, { "json": "https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-tradingagents.json", "title": "Cursor Agent SDK vs TradingAgents", "url": "https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-tradingagents" }, { "json": "https://www.anchorterminal.com/compare/docker-agent-vs-smolagents.json", "title": "Docker Agent vs smolagents", "url": "https://www.anchorterminal.com/compare/docker-agent-vs-smolagents" }, { "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-smolagents.json", "title": "Agent Development Kit (ADK) vs smolagents", "url": "https://www.anchorterminal.com/compare/google-adk-vs-smolagents" }, { "json": "https://www.anchorterminal.com/compare/google-adk-vs-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-smolagents.json", "title": "guilds.run vs smolagents", "url": "https://www.anchorterminal.com/compare/guilds-run-vs-smolagents" }, { "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-smolagents.json", "title": "LangGraph vs smolagents", "url": "https://www.anchorterminal.com/compare/langgraph-vs-smolagents" }, { "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/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-tradingagents.json", "title": "LlamaIndex Framework vs TradingAgents", "url": "https://www.anchorterminal.com/compare/llamaindex-vs-tradingagents" }, { "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-tradingagents.json", "title": "Mastra vs TradingAgents", "url": "https://www.anchorterminal.com/compare/mastra-vs-tradingagents" }, { "json": "https://www.anchorterminal.com/compare/microsoft-agent-framework-vs-smolagents.json", "title": "Microsoft Agent Framework vs smolagents", "url": "https://www.anchorterminal.com/compare/microsoft-agent-framework-vs-smolagents" }, { "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-smolagents.json", "title": "OpenAI Agents SDK vs smolagents", "url": "https://www.anchorterminal.com/compare/openai-agents-sdk-vs-smolagents" }, { "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-smolagents.json", "title": "Pydantic AI vs smolagents", "url": "https://www.anchorterminal.com/compare/pydantic-ai-vs-smolagents" }, { "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" }, { "json": "https://www.anchorterminal.com/compare/smolagents-vs-strands-agents.json", "title": "smolagents vs Strands Agents", "url": "https://www.anchorterminal.com/compare/smolagents-vs-strands-agents" }, { "json": "https://www.anchorterminal.com/compare/smolagents-vs-vercel-ai-sdk.json", "title": "smolagents vs AI SDK", "url": "https://www.anchorterminal.com/compare/smolagents-vs-vercel-ai-sdk" }, { "json": "https://www.anchorterminal.com/compare/strands-agents-vs-tradingagents.json", "title": "Strands Agents vs TradingAgents", "url": "https://www.anchorterminal.com/compare/strands-agents-vs-tradingagents" }, { "json": "https://www.anchorterminal.com/compare/tradingagents-vs-vercel-ai-sdk.json", "title": "TradingAgents vs AI SDK", "url": "https://www.anchorterminal.com/compare/tradingagents-vs-vercel-ai-sdk" } ], "panel": null, "scores": [ { "by": 12, "edge": "smolagents", "key": "reliability", "name": "Reliability", "smolagents": 64, "tradingagents": 52, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 20, "edge": "smolagents", "key": "schema", "name": "Schema \u0026 documentation", "smolagents": 81, "tradingagents": 61, "weight": 13 }, { "by": 7, "edge": "smolagents", "key": "ergonomics", "name": "Agent ergonomics", "smolagents": 68, "tradingagents": 61, "weight": 13 }, { "by": 4, "edge": "smolagents", "key": "security", "name": "Security \u0026 auth", "smolagents": 66, "tradingagents": 62, "weight": 14 }, { "by": 0, "edge": "", "key": "payments", "name": "Payments \u0026 pricing", "smolagents": 60, "tradingagents": 60, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 44, "edge": "tradingagents", "key": "maintenance", "name": "Maintenance \u0026 community", "smolagents": 34, "tradingagents": 78, "weight": 7 }, { "by": 3, "edge": "tradingagents", "key": "transparency", "name": "Transparency \u0026 trust", "smolagents": 65, "tradingagents": 68, "weight": 7 } ], "summary": "TradingAgents scores 61.4 (C) on agent readiness against smolagents's 58.7 (C), and leads in 2 of 7 scored categories. smolagents leads on reliability, schema \u0026 documentation and agent ergonomics. Both do agent frameworks.", "tasks": null, "tutorials": [], "verdicts": { "smolagents": "A compact Python library for code-writing and tool-calling agents, with MCP tools, any model provider and remote sandboxes through E2B, Docker, Modal or Blaxel. The newest release is 1.26.0 of 29 May 2026, a critical remote-executor RCE took about eight weeks to fix, and the local executor isn't a security boundary.", "tradingagents": "An Apache 2.0 LangGraph framework at 0.7.1 with seven 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/smolagents-vs-tradingagents", "json": "https://www.anchorterminal.com/compare/smolagents-vs-tradingagents.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/smolagents-vs-tradingagents.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/smolagents-vs-tradingagents.min.md" }, "markdown": "TradingAgents scores 61.4 (C) on agent readiness against smolagents's 58.7 (C), and leads in 2 of 7 scored categories. smolagents leads on reliability, schema \u0026 documentation and agent ergonomics. Both do agent frameworks.\n\n- smolagents: grade C, 58.7/100, rank #735 of 1486. Markdown https://www.anchorterminal.com/tools/smolagents.md · JSON https://www.anchorterminal.com/api/v1/tools/smolagents.json\n- TradingAgents: grade C, 61.4/100, rank #614 of 1486. 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 171 frameworks comparisons: https://www.anchorterminal.com/compare/frameworks/index.md\n\n## Which one, for what\n\n### smolagents (C)\n\nGood for: Small Python projects and research that want code-writing agents with minimal abstraction.\n\nAhead on:\n- Reliability, 64 against 52\n- Schema \u0026 documentation, 81 against 61\n- Agent ergonomics, 68 against 61\n\nAlso in its favour:\n- No key needed to call it\n\nWatch for: No release since 1.26.0 on 29 May 2026, and few commits to main since August\n\n### TradingAgents (C)\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- Maintenance \u0026 community, 78 against 34\n\nAlso in its favour:\n- No incidents deducted, where smolagents loses 6 points for them\n\nWatch for: No MCP client or MCP server, so an agent drives it only through Python or the CLI\n\n\n## Why the edge\n\n### Maintenance \u0026 community: TradingAgents +44\n\n- smolagents (34): v1.26.0 on 29 May 2026, 161 days before this check (10). No release in the 90 days to 6 November (0). 416 open issues and 1,045 open issues and pull requests on 6 November, with 144 issues opened in the 90 days to 3 November. Of the 50 newest, 26 had a comment and 1 was closed. Two 2026 CVE records say the vendor didn't respond to the reporter, and seven commits reached main from 8 August to 6 November (6). Python only, and the package is the current one (10). CI with actions pinned to commit SHAs and Dependabot for actions (8). 10+0+6+10+8 = 34.\n- TradingAgents (78): 0.7.1 on 27 October 2026 (30). Seven releases in the 90 days to 2 November, 0.4.0 (31 August), 0.5.0, 0.5.1, 0.5.2, 0.6.0, 0.7.0 and 0.7.1 (20). The earlier issue and pull request counts came from shields.io and are struck. On the clone, fixes cite issue numbers and each release credits the people who reported or fixed them (15 outside contributors in 0.7.1), but 251 of the 258 commits since 4 August are by one maintainer's accounts and reply times couldn't be read (13 of 25, as pipecat on clone evidence). No PyPI package; versions ship as GitHub releases with a wheel since 0.7.0 (8 of 15). CI with tests, lint and a clean-install check; dependencies set lower bounds only and no Dependabot configuration is in the repository (7 of 10). 30+20+13+8+7 = 78.\n\n### Schema \u0026 documentation: smolagents +20\n\n- smolagents (81): Framework reading. A typed Python API with reference pages for agents, models, tools and executors (22). llms.txt and Markdown pages on huggingface.co (10). The docs say when to use CodeAgent or ToolCallingAgent and when a sandbox is needed (17). Tools declare typed inputs in a schema dictionary or from a decorated function (12). Many runnable examples; error classes exist but aren't catalogued (10). Versions tagged with release notes, no changelog file (10). 22+10+17+12+10+10 = 81.\n- TradingAgents (61): Framework reading. No API reference or docs site. Typed interfaces exist in the source, Pydantic models for the research manager's, trader's and portfolio manager's outputs and Annotated signatures on the twelve data tools, with no py.typed marker (10 of 25). The README and changelog are Markdown in the repository; no llms.txt (4 of 10). The README states limits plainly, that runs vary, which statements past-dated runs withhold and why, and that it is a research tool, not advice (15 of 20). Configuration is a plain dict of string keys, though environment overrides are coerced to the default's type and fail loudly on a bad value (8 of 15). Runnable Python and CLI examples throughout the README; the vendor error hierarchy is documented only in source docstrings (9 of 15). Dated changelog for every release from 0.1.0 with upgrade notes (15).\n\n### Reliability: smolagents +12\n\n- smolagents (64): Local-package reading. Official PyPI package with Python 3.10 or newer (20). A public tests workflow runs pytest on Python 3.10 and 3.12 for pushes and pull requests; whether main passes wasn't read (15). 416 open issues and 1,045 open issues and pull requests on 6 November, with 144 issues opened in the 90 days to 3 November. Of the 50 newest, 26 had a comment and 1 was closed. Two 2026 CVE records say the vendor didn't respond to the reporter, and seven commits reached main from 8 August to 6 November (6). Release notes on GitHub tags but no changelog file, and the remote WasmExecutor was removed in a minor release (8). 1.0 since 31 December 2024 (15). 20+15+6+8+15 = 64.\n- TradingAgents (52): Read with the local-software lines, because the owner runs it. Python 3.11 or later is stated and CI tests 3.11 to 3.14, but the project publishes no PyPI package. No workflow uploads one, and the README installs from a clone or Docker Compose. From 0.7.0 a release workflow builds a wheel and source archive from each tag and attaches them to the GitHub release (12 of 20). Public CI on every push and pull request runs the test suite (about 1,009 test functions at v0.7.1) on four Python versions and once in America/New_York, a clean-install import check and Ruff. The 25 October check read the pass state from shields.io, a third-party copy of GitHub data this run doesn't use, so that reading is struck, and the pass state on main is unread (15, as berth and agentvfs). Issue counts came from the same source and are struck too. On the clone, 0.7.1 (27 October) fixes 22 numbered issues, 17 of them above #1518, the newest fixed in 0.7.0 on 16 October, and credits 15 outside contributors; open crash or regression issues and reply times are unread (15, as berth on the same pattern). The changelog follows Keep a Changelog and Semantic Versioning and lists breaking changes under \"Upgrading from\", but 0.5.1, a patch release, moved import paths and removed classes (10 of 15). Version 0.7.1 with no stability statement (0). 12+15+15+10+0 = 52.\n\n### Agent ergonomics: smolagents +7\n\n- smolagents (68): Framework reading. MCPClient loads an MCP server's tools in a few lines (20). max_steps, planning intervals and final_answer_checks bound a run (16). Errors from tools and code go back to the model as observations (14). No built-in retry, idempotency or resume beyond replaying memory (8). Few required parameters and many providers, Python only, and the default model needs a Hugging Face token (10). 20+16+14+8+10 = 68.\n- TradingAgents (61): Framework reading, scored on what an outside agent needs to call it. No MCP client or server, so it can't be attached as tools; a run is four lines of Python (`TradingAgentsGraph(config=...).propagate(ticker, date)`) or one headless CLI command with flags (10 of 25). Analyst selection, debate and risk rounds (default 1), `max_tool_rounds` (20), `max_recur_limit` (100), article limits and `--no-html` size a run (14 of 20). A typed vendor error hierarchy separates unavailable from absent data, the headless CLI names the missing flag before a run starts, and an unparseable decision returns REVIEW rather than Hold (15 of 20). Checkpoint resume is opt-in, a backtest rerun with the same `run_id` skips finished cells, and settlement writes each decision once; nothing writes to an outside system (15 of 20). Sensible defaults, but the default provider is OpenAI's GPT-6 models with a key, and Python only (7 of 15).\n\n## Score by category\n\n| Category | Weight | smolagents | TradingAgents | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 64 | 52 | smolagents +12 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 81 | 61 | smolagents +20 |\n| Agent ergonomics | 13% (16.2 this run) | 68 | 61 | smolagents +7 |\n| Security \u0026 auth | 14% (17.5 this run) | 66 | 62 | smolagents +4 |\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) | 34 | 78 | TradingAgents +44 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 65 | 68 | TradingAgents +3 |\n| Negative events | ≤15 | -6 | 0 | |\n| **Total** | | **58.7 · C** | **61.4 · C** | |\n\n## Facts side by side\n\n| Fact | smolagents | TradingAgents |\n| --- | --- | --- |\n| Kind | Agent framework | Agent framework |\n| Vendor | Hugging Face | Tauric Research |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | | |\n| Auth | None | API key |\n| Pricing | Free | Free |\n| x402 | no | no |\n| Licence | Apache-2.0 | Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| Last release | 2026-05-29 | 2026-10-27 |\n| Terms last updated | 2022-09-15 | 2026-10-23 |\n| Privacy policy last updated | 2023-03-28 | 2026-10-23 |\n| Customer content may train models | not found in the text | not found in the text |\n| Terms restrict automated access | not found in the text | not found in the text |\n| Terms restrict benchmarking | not found in the text | not found in the text |\n| Terms or service can change without notice | yes | not found in the text |\n| Arbitration or class-action waiver | not found in the text | not found in the text |\n| Popularity | 30k stars, 171k PyPI/wk | none |\n\n## How the scores have moved\n\n### smolagents\n\nNo score change since it was listed.\n\n### TradingAgents\n\n- -3.3 on 2 November 2026 (B to C): correction\n- -0.1 on 30 October 2026: checklist\n- +0.1 on 27 October 2026: checklist\n\n## Verdicts\n\n**smolagents.** A compact Python library for code-writing and tool-calling agents, with MCP tools, any model provider and remote sandboxes through E2B, Docker, Modal or Blaxel. The newest release is 1.26.0 of 29 May 2026, a critical remote-executor RCE took about eight weeks to fix, and the local executor isn't a security boundary.\n\n**TradingAgents.** An Apache 2.0 LangGraph framework at 0.7.1 with seven 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### smolagents\n\n1. Run CodeAgent with `executor_type` set to e2b, docker, modal or blaxel whenever the model or its inputs aren't trusted\n2. Use smolagents 1.24.0 or later to get the remote-executor deserialisation fix\n3. Set max_steps and final_answer_checks so a run stops on its own\n4. Pass structured_output explicitly to MCPClient to avoid the default-change warning\n5. Pin the version, since minor releases have removed APIs\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, smolagents or TradingAgents?\n\nTradingAgents scores 61.4 (C) on agent readiness against smolagents's 58.7 (C), and leads in 2 of 7 scored categories. smolagents leads on reliability, schema \u0026 documentation and agent ergonomics.\n\n### Are smolagents and TradingAgents open source?\n\nYes. smolagents is open source (Apache-2.0). TradingAgents is open source (Apache-2.0).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/smolagents-vs-tradingagents.json, and with the fewest tokens: https://www.anchorterminal.com/compare/smolagents-vs-tradingagents.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"smolagents\", \"b\": \"tradingagents\"}`. From a terminal: `anchor compare smolagents tradingagents`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/smolagents.json and https://www.anchorterminal.com/api/v1/tools/tradingagents.json\n\n## Other comparisons with smolagents or TradingAgents\n\n- [AgentOS vs smolagents](https://www.anchorterminal.com/compare/agentos-vs-smolagents.md)\n- [AgentOS vs TradingAgents](https://www.anchorterminal.com/compare/agentos-vs-tradingagents.md)\n- [Agno vs smolagents](https://www.anchorterminal.com/compare/agno-vs-smolagents.md)\n- [Agno vs TradingAgents](https://www.anchorterminal.com/compare/agno-vs-tradingagents.md)\n- [BoxLang AI vs smolagents](https://www.anchorterminal.com/compare/boxlang-ai-vs-smolagents.md)\n- [BoxLang AI vs TradingAgents](https://www.anchorterminal.com/compare/boxlang-ai-vs-tradingagents.md)\n- [Claude Agent SDK vs smolagents](https://www.anchorterminal.com/compare/claude-agent-sdk-vs-smolagents.md)\n- [Claude Agent SDK vs TradingAgents](https://www.anchorterminal.com/compare/claude-agent-sdk-vs-tradingagents.md)\n- [CrewAI vs smolagents](https://www.anchorterminal.com/compare/crewai-vs-smolagents.md)\n- [CrewAI vs TradingAgents](https://www.anchorterminal.com/compare/crewai-vs-tradingagents.md)\n- [Cursor Agent SDK vs smolagents](https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-smolagents.md)\n- [Cursor Agent SDK vs TradingAgents](https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-tradingagents.md)\n- [Docker Agent vs smolagents](https://www.anchorterminal.com/compare/docker-agent-vs-smolagents.md)\n- [Docker Agent vs TradingAgents](https://www.anchorterminal.com/compare/docker-agent-vs-tradingagents.md)\n- [Agent Development Kit (ADK) vs smolagents](https://www.anchorterminal.com/compare/google-adk-vs-smolagents.md)\n- [Agent Development Kit (ADK) vs TradingAgents](https://www.anchorterminal.com/compare/google-adk-vs-tradingagents.md)\n- [guilds.run vs smolagents](https://www.anchorterminal.com/compare/guilds-run-vs-smolagents.md)\n- [guilds.run vs TradingAgents](https://www.anchorterminal.com/compare/guilds-run-vs-tradingagents.md)\n- [LangGraph vs smolagents](https://www.anchorterminal.com/compare/langgraph-vs-smolagents.md)\n- [LangGraph vs TradingAgents](https://www.anchorterminal.com/compare/langgraph-vs-tradingagents.md)\n- [LlamaIndex Framework vs smolagents](https://www.anchorterminal.com/compare/llamaindex-vs-smolagents.md)\n- [LlamaIndex Framework vs TradingAgents](https://www.anchorterminal.com/compare/llamaindex-vs-tradingagents.md)\n- [Mastra vs smolagents](https://www.anchorterminal.com/compare/mastra-vs-smolagents.md)\n- [Mastra vs TradingAgents](https://www.anchorterminal.com/compare/mastra-vs-tradingagents.md)\n- [Microsoft Agent Framework vs smolagents](https://www.anchorterminal.com/compare/microsoft-agent-framework-vs-smolagents.md)\n- [Microsoft Agent Framework vs TradingAgents](https://www.anchorterminal.com/compare/microsoft-agent-framework-vs-tradingagents.md)\n- [OpenAI Agents SDK vs smolagents](https://www.anchorterminal.com/compare/openai-agents-sdk-vs-smolagents.md)\n- [OpenAI Agents SDK vs TradingAgents](https://www.anchorterminal.com/compare/openai-agents-sdk-vs-tradingagents.md)\n- [Pydantic AI vs smolagents](https://www.anchorterminal.com/compare/pydantic-ai-vs-smolagents.md)\n- [Pydantic AI vs TradingAgents](https://www.anchorterminal.com/compare/pydantic-ai-vs-tradingagents.md)\n- [smolagents vs Strands Agents](https://www.anchorterminal.com/compare/smolagents-vs-strands-agents.md)\n- [smolagents vs AI SDK](https://www.anchorterminal.com/compare/smolagents-vs-vercel-ai-sdk.md)\n- [Strands Agents vs TradingAgents](https://www.anchorterminal.com/compare/strands-agents-vs-tradingagents.md)\n- [TradingAgents vs AI SDK](https://www.anchorterminal.com/compare/tradingagents-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": "smolagents vs TradingAgents", "url": "" } ], "description": "TradingAgents scores 61.4 (C) to smolagents's 58.7 (C) for agent frameworks. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "smolagents C 58.7", "TradingAgents C 61.4", "scores" ], "h1": "smolagents vs TradingAgents", "image": "https://www.anchorterminal.com/assets/og/default.png", "path": "/compare/smolagents-vs-tradingagents", "published": "2026-10-01", "section": "tools", "title": "smolagents vs TradingAgents for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-11-07", "url": "https://www.anchorterminal.com/compare/smolagents-vs-tradingagents" }, "tokens": { "markdown": 4300, "slim": 2130 }, "version": 1 }