{ "data": { "a": { "slug": "agno", "name": "Agno", "vendor": "Agno Inc.", "vendorUrl": "https://www.agno.com", "kind": "framework", "category": "frameworks", "summary": "Open-source Python framework from Agno Inc. for building agents, teams and workflows, with the AgentOS runtime that serves them over a REST API and an MCP server. Formerly Phidata.", "url": "https://www.anchorterminal.com/tools/agno", "markdownUrl": "https://www.anchorterminal.com/tools/agno.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/agno.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/agno.json", "repo": "https://github.com/agno-agi/agno", "license": "Apache-2.0", "transports": [], "packages": [ { "registry": "pypi", "name": "agno" } ], "auth": "api-key", "authNotes": "The framework has no account of its own. Each model provider takes its own key from the environment. AgentOS, the server you run, accepts JWTs, a shared OS_SECURITY_KEY or service-account tokens, and takes no credential when none is configured. The hosted control plane at os.agno.com needs a sign-in.", "pricing": "free", "pricingNotes": "The SDK and AgentOS are free under Apache 2.0, and you pay your model provider. The optional hosted control plane is free for a local AgentOS and $150 a month (Pro) for a live deployment, with Enterprise by quote (https://www.agno.com/pricing, checked 2026-10-08).", "priceSummary": "Free · OSS", "where": "library", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the library source or on the pricing page. The only match in the repository is a cookbook example that calls a third-party x402 MCP server (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 42612, "npmWeekly": null, "pypiWeekly": 475559, "asOf": "2026-10-08" }, "docsUrl": "https://docs.agno.com", "llmsTxt": "https://docs.agno.com/llms.txt", "capabilities": [ "agent.framework", "agent.multi-agent", "agent.durable", "agent.mcp-client" ], "tags": [ "framework", "python", "open-source", "llms-txt", "mcp", "otel", "free" ], "lastRelease": "2026-10-02", "graded": true, "anchor": { "graded": true, "score": 72.8, "grade": "BB", "agentReady": true, "rank": 102, "ranked": true, "rankOf": 1210, "categoryRank": 7, "methodology": "0.6", "run": "2026-10-01", "scores": { "ergonomics": 76, "maintenance": 86, "payments": 50, "reliability": 83, "schema": 90, "security": 64, "transparency": 83 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": -3, "negativeNotes": [ "2026-06-30. GHSA-m4w4-3r8h-jw98 (CVE-2026-35002, critical), arbitrary code execution through eval() on field_type in a FunctionCall, fixed in 2.3.24. GHSA-w9j5-7p53-pvr3 (CVE-2026-10105, high, published 2026-07-27), SQL injection in the ClickHouse vector store's delete_by_metadata, parameterised in the current source. GHSA-vw84-hprm-cxmm (CVE-2025-64168, high, 2025-10-31), session state written to the wrong session under concurrency, fixed in 2.2.2. All three are fixed and published as advisories in the repository, so 1 point each. https://github.com/agno-agi/agno/security/advisories" ], "verdict": "An Apache 2.0 Python agent framework at 3.1.1 with an MCP client, tool confirmation and admin approvals, a durable job queue and 25 stable releases in 90 days. Usage telemetry is on by default with unhashed identifiers, and three high or critical advisories were published against it in the last 12 months, all fixed.", "bestFor": "Python teams that want agents, teams and workflows plus a self-hosted server with REST, MCP, approvals and scheduling in one package.", "strengths": [ "Apache 2.0, with 25 stable releases on PyPI in the 90 days to 8 October 2026 and 3.1.1 on 2 October", "MCP client (MCPTools) over Streamable HTTP and stdio with include_tools, exclude_tools and a name prefix", "Tool calls can require confirmation, user input or an admin approval that is stored and audited", "llms.txt, llms-full.txt, a Markdown twin of every docs page and a docs MCP server at docs.agno.com/mcp", "Unit tests, Ruff and mypy run in public CI, and 10 of the 12 latest runs on main passed with 2 cancelled" ], "weaknesses": [ "Usage telemetry is on by default and sends session, run and agent identifiers unhashed. Prompts and outputs are not sent", "AGNO_TELEMETRY=false does not cover AgentOS launches or evals, which need telemetry=False on the instance", "Three advisories in 12 months, an eval injection rated critical, a ClickHouse SQL injection and a session state leak, all fixed", "867 open issues and 968 open pull requests on 8 October 2026, with 287 issues opened and 105 closed in 30 days", "AgentOS requires no credential unless a JWT key or OS_SECURITY_KEY is configured", "Terms and privacy pages at os.agno.com render only with JavaScript and could not be read" ], "agentNotes": [ "Set AGNO_TELEMETRY=false before the first run, and pass telemetry=False to AgentOS and to each eval, which ignore the variable", "Configure JWT_VERIFICATION_KEY with AgentOS authorisation switched on, or OS_SECURITY_KEY, before exposing AgentOS. With neither set, REST and MCP routes take no credential", "Mark tools that write with requires_confirmation, and resume with continue_run once every requirement is resolved", "Set tool_call_limit on agents. The default is None", "Install extras for what you use, such as agno[mcp] for MCPTools and agno[os,mcp] for AgentOS with its MCP server" ], "metrics": { "kind": "library", "measured": false }, "reviewCount": 4, "avgRating": 3.3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "BB", "methodology": "0.6", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 72.8 } ], "editorialScores": { "ergonomics": 76, "maintenance": 86, "payments": 50, "reliability": 83, "schema": 90, "security": 64, "transparency": 73 }, "provenanceScore": 93, "checked": { "categories": { "ergonomics": "2026-10-08", "maintenance": "2026-10-08", "payments": "2026-10-08", "reliability": "2026-10-08", "schema": "2026-10-08", "security": "2026-10-08", "transparency": "2026-10-08" }, "last": "2026-10-08", "oldest": "2026-10-08", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "pip install -U agno # MCP client: pip install -U \"agno[mcp]\"" }, "letme": { "capability": "https://letme.dev/agent.framework", "tool": "https://letme.dev/agno" }, "area": "frameworks", "unitPrices": [ { "item": "Control plane Pro plan, one live AgentOS connection and three seats", "unit": "month", "usd": 150 } ], "provenance": { "legalEntity": "Agno Inc.", "domain": "agno.com", "domainRegistered": "2003-04-13", "endpointOnVendorDomain": null, "terms": "https://os.agno.com/legal/tos", "privacy": "https://os.agno.com/legal/privacy", "statusPage": "https://status.agno.com", "changelog": "https://www.agno.com/changelog", "securityTxt": "valid", "checked": "2026-10-08", "notes": [ "The licence file reads Copyright 2025-2026 Agno Inc. and the site footer reads © 2026 Agno Inc.", "www.agno.com/.well-known/security.txt gives https://github.com/agno-agi/agno/security as the contact and expires 2027-08-10.", "The terms and privacy links in the www.agno.com footer go to os.agno.com/legal/tos and /legal/privacy. Both return 200 but render only with JavaScript, so their text was not read. They cover the hosted control plane. The SDK itself is under Apache 2.0.", "status.agno.com lists Website and AgentOS components, which are the vendor's hosted services, not the library.", "RDAP gives agno.com a registration date of 2003-04-13. github.com/phidatahq/phidata redirects to agno-agi/agno." ], "score": 93 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/agno.json", "live": { "slug": "agno", "vendorStatus": { "page": "https://status.agno.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-25T20:47:19.828193384Z" }, "versions": [ { "registry": "github", "name": "agno-agi/agno", "version": "v3.1.10", "released": "2026-10-23", "seenAt": "2026-10-25T08:32:45.566262751Z" }, { "registry": "pypi", "name": "agno", "version": "3.1.10", "released": "2026-10-23", "seenAt": "2026-10-25T08:32:45.378422818Z" } ], "githubStars": 42883, "pypiWeekly": 518024, "securityTxt": { "url": "https://agno.com/.well-known/security.txt", "state": "valid", "expires": "2027-08-10T00:00:00.000Z", "checkedAt": "2026-10-25T15:28:36.627145934Z" }, "llmsTxt": { "url": "https://docs.agno.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-25T14:50:52.096316775Z" }, "domain": { "domain": "agno.com", "registered": "2003-04-13", "source": "https://rdap.verisign.com/com/v1/domain/agno.com", "checkedAt": "2026-10-25T14:04:49.663983271Z" }, "pages": [ { "url": "https://www.agno.com/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-10-25T02:58:05.924362497Z", "changedAt": "2026-10-20T00:08:43.618216778Z", "fingerprint": "b67257513951" }, { "url": "https://www.agno.com/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-25T02:58:08.104822947Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "39cf0ea4a9f3" }, { "url": "https://os.agno.com/legal/privacy", "kind": "privacy", "status": 304, "checkedAt": "2026-10-25T02:51:52.880060965Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "e3b0c44298fc" }, { "url": "https://os.agno.com/legal/tos", "kind": "terms", "status": 304, "checkedAt": "2026-10-25T02:51:54.896549184Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "e3b0c44298fc" } ], "github": { "repo": "agno-agi/agno", "checkedAt": "2026-10-19T05:51:09.692427781Z", "stars": 42804, "archived": false, "issuesEnabled": true, "pushedAt": "2026-10-17T19:52:02Z", "openIssues": 919, "openPRs": 987, "issuesOpened90d": 633, "issuesClosed90d": 219, "prsMerged90d": 524, "ci": { "branch": "main", "runs": 50, "success": 44, "failure": 2, "other": 4, "latest": "success", "latestAt": "2026-10-17T20:11:09Z" }, "advisories": [ { "ghsa": "GHSA-w9j5-7p53-pvr3", "cve": "CVE-2026-10105", "severity": "high", "published": "2026-07-27T08:56:58Z" }, { "ghsa": "GHSA-m4w4-3r8h-jw98", "cve": "CVE-2026-35002", "severity": "critical", "published": "2026-06-30T07:46:38Z" }, { "ghsa": "GHSA-vw84-hprm-cxmm", "cve": "CVE-2025-64168", "severity": "high", "published": "2025-10-31T09:01:28Z" } ], "replies": { "sampled": 21, "unanswered": 21 } }, "updatedAt": "2026-10-25T20:47:19.828193384Z" } }, "answer": "Agno scores 72.8 (BB) on agent readiness against TradingAgents's 64.7 (B), and leads in 6 of 7 scored categories. TradingAgents leads on payments \u0026 pricing.", "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": "Agno Inc.", "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": "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": "2026-10-02", "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": "43k stars, 476k PyPI/wk", "b": "114k stars", "name": "Popularity" }, { "a": "3.3/5 (4)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Agno scores 72.8 (BB) on agent readiness against TradingAgents's 64.7 (B), and leads in 6 of 7 scored categories. TradingAgents leads on payments \u0026 pricing.", "question": "Which is better for AI agents, Agno or TradingAgents?" }, { "answer": "Yes. Agno is open source (Apache-2.0). TradingAgents is open source (Apache-2.0).", "question": "Are Agno and TradingAgents open source?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 83 against 67", "Schema \u0026 documentation, 90 against 61", "Agent ergonomics, 76 against 61", "Transparency \u0026 trust, 83 against 68" ], "also": [ "Agent-ready, a grade of BB or better" ], "goodFor": "Python teams that want agents, teams and workflows plus a self-hosted server with REST, MCP, approvals and scheduling in one package.", "slug": "agno", "watchFor": "Usage telemetry is on by default and sends session, run and agent identifiers unhashed. Prompts and outputs are not sent" }, { "aheadOn": [ "Payments \u0026 pricing, 60 against 50" ], "also": [ "No incidents deducted, where Agno loses 3 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" } ], "job": { "capability": "agent.framework", "name": "Agent frameworks" }, "others": [ { "json": "https://www.anchorterminal.com/compare/agentos-vs-agno.json", "title": "AgentOS vs Agno", "url": "https://www.anchorterminal.com/compare/agentos-vs-agno" }, { "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-claude-agent-sdk.json", "title": "Agno vs Claude Agent SDK", "url": "https://www.anchorterminal.com/compare/agno-vs-claude-agent-sdk" }, { "json": "https://www.anchorterminal.com/compare/agno-vs-crewai.json", "title": "Agno vs CrewAI", "url": "https://www.anchorterminal.com/compare/agno-vs-crewai" }, { "json": "https://www.anchorterminal.com/compare/agno-vs-docker-agent.json", "title": "Agno vs Docker Agent", "url": "https://www.anchorterminal.com/compare/agno-vs-docker-agent" }, { "json": "https://www.anchorterminal.com/compare/agno-vs-google-adk.json", "title": "Agno vs Agent Development Kit (ADK)", "url": "https://www.anchorterminal.com/compare/agno-vs-google-adk" }, { "json": "https://www.anchorterminal.com/compare/agno-vs-guilds-run.json", "title": "Agno vs guilds.run", "url": "https://www.anchorterminal.com/compare/agno-vs-guilds-run" }, { "json": "https://www.anchorterminal.com/compare/agno-vs-langgraph.json", "title": "Agno vs LangGraph", "url": "https://www.anchorterminal.com/compare/agno-vs-langgraph" }, { "json": "https://www.anchorterminal.com/compare/agno-vs-microsoft-agent-framework.json", "title": "Agno vs Microsoft Agent Framework", "url": "https://www.anchorterminal.com/compare/agno-vs-microsoft-agent-framework" }, { "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-pydantic-ai.json", "title": "Agno vs Pydantic AI", "url": "https://www.anchorterminal.com/compare/agno-vs-pydantic-ai" }, { "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-tradingagents.json", "title": "CrewAI vs TradingAgents", "url": "https://www.anchorterminal.com/compare/crewai-vs-tradingagents" }, { "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": [ { "agno": 83, "by": 16, "edge": "agno", "key": "reliability", "name": "Reliability", "tradingagents": 67, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "agno": 90, "by": 29, "edge": "agno", "key": "schema", "name": "Schema \u0026 documentation", "tradingagents": 61, "weight": 13 }, { "agno": 76, "by": 15, "edge": "agno", "key": "ergonomics", "name": "Agent ergonomics", "tradingagents": 61, "weight": 13 }, { "agno": 64, "by": 2, "edge": "agno", "key": "security", "name": "Security \u0026 auth", "tradingagents": 62, "weight": 14 }, { "agno": 50, "by": 10, "edge": "tradingagents", "key": "payments", "name": "Payments \u0026 pricing", "tradingagents": 60, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "agno": 86, "by": 4, "edge": "agno", "key": "maintenance", "name": "Maintenance \u0026 community", "tradingagents": 82, "weight": 7 }, { "agno": 83, "by": 15, "edge": "agno", "key": "transparency", "name": "Transparency \u0026 trust", "tradingagents": 68, "weight": 7 } ], "summary": "Agno scores 72.8 (BB) on agent readiness against TradingAgents's 64.7 (B), and leads in 6 of 7 scored categories. TradingAgents leads on payments \u0026 pricing. Both do agent frameworks.", "tutorials": [], "verdicts": { "agno": "An Apache 2.0 Python agent framework at 3.1.1 with an MCP client, tool confirmation and admin approvals, a durable job queue and 25 stable releases in 90 days. Usage telemetry is on by default with unhashed identifiers, and three high or critical advisories were published against it in the last 12 months, all fixed.", "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/agno-vs-tradingagents", "json": "https://www.anchorterminal.com/compare/agno-vs-tradingagents.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/agno-vs-tradingagents.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/agno-vs-tradingagents.min.md" }, "markdown": "Agno scores 72.8 (BB) on agent readiness against TradingAgents's 64.7 (B), and leads in 6 of 7 scored categories. TradingAgents leads on payments \u0026 pricing. Both do agent frameworks.\n\n- Agno: grade BB, 72.8/100, rank #102 of 1210. Markdown https://www.anchorterminal.com/tools/agno.md · JSON https://www.anchorterminal.com/api/v1/tools/agno.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### Agno (BB)\n\nGood for: Python teams that want agents, teams and workflows plus a self-hosted server with REST, MCP, approvals and scheduling in one package.\n\nAhead on:\n- Reliability, 83 against 67\n- Schema \u0026 documentation, 90 against 61\n- Agent ergonomics, 76 against 61\n- Transparency \u0026 trust, 83 against 68\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n\nWatch for: Usage telemetry is on by default and sends session, run and agent identifiers unhashed. Prompts and outputs are not sent\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- Payments \u0026 pricing, 60 against 50\n\nAlso in its favour:\n- No incidents deducted, where Agno loses 3 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## Score by category\n\n| Category | Weight | Agno | TradingAgents | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 83 | 67 | Agno +16 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 90 | 61 | Agno +29 |\n| Agent ergonomics | 13% (16.2 this run) | 76 | 61 | Agno +15 |\n| Security \u0026 auth | 14% (17.5 this run) | 64 | 62 | Agno +2 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 50 | 60 | TradingAgents +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 86 | 82 | Agno +4 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 83 | 68 | Agno +15 |\n| Negative events | ≤15 | -3 | 0 | |\n| **Total** | | **72.8 · BB** | **64.7 · B** | |\n\n## Facts side by side\n\n| Fact | Agno | TradingAgents |\n| --- | --- | --- |\n| Kind | Agent framework | Agent framework |\n| Vendor | Agno Inc. | 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 | Apache-2.0 | Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| Last release | 2026-10-02 | 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 | 43k stars, 476k PyPI/wk | 114k stars |\n| Agent reviews | 3.3/5 (4) | none |\n\n## Verdicts\n\n**Agno.** An Apache 2.0 Python agent framework at 3.1.1 with an MCP client, tool confirmation and admin approvals, a durable job queue and 25 stable releases in 90 days. Usage telemetry is on by default with unhashed identifiers, and three high or critical advisories were published against it in the last 12 months, all fixed.\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### Agno\n\n1. Set AGNO_TELEMETRY=false before the first run, and pass telemetry=False to AgentOS and to each eval, which ignore the variable\n2. Configure JWT_VERIFICATION_KEY with AgentOS authorisation switched on, or OS_SECURITY_KEY, before exposing AgentOS. With neither set, REST and MCP routes take no credential\n3. Mark tools that write with requires_confirmation, and resume with continue_run once every requirement is resolved\n4. Set tool_call_limit on agents. The default is None\n5. Install extras for what you use, such as agno[mcp] for MCPTools and agno[os,mcp] for AgentOS with its MCP server\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, Agno or TradingAgents?\n\nAgno scores 72.8 (BB) on agent readiness against TradingAgents's 64.7 (B), and leads in 6 of 7 scored categories. TradingAgents leads on payments \u0026 pricing.\n\n### Are Agno and TradingAgents open source?\n\nYes. Agno 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/agno-vs-tradingagents.json, and with the fewest tokens: https://www.anchorterminal.com/compare/agno-vs-tradingagents.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"agno\", \"b\": \"tradingagents\"}`. From a terminal: `anchor compare agno tradingagents`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/agno.json and https://www.anchorterminal.com/api/v1/tools/tradingagents.json\n\n## Other comparisons with Agno or TradingAgents\n\n- [AgentOS vs Agno](https://www.anchorterminal.com/compare/agentos-vs-agno.md)\n- [AgentOS vs TradingAgents](https://www.anchorterminal.com/compare/agentos-vs-tradingagents.md)\n- [Agno vs Claude Agent SDK](https://www.anchorterminal.com/compare/agno-vs-claude-agent-sdk.md)\n- [Agno vs CrewAI](https://www.anchorterminal.com/compare/agno-vs-crewai.md)\n- [Agno vs Docker Agent](https://www.anchorterminal.com/compare/agno-vs-docker-agent.md)\n- [Agno vs Agent Development Kit (ADK)](https://www.anchorterminal.com/compare/agno-vs-google-adk.md)\n- [Agno vs guilds.run](https://www.anchorterminal.com/compare/agno-vs-guilds-run.md)\n- [Agno vs LangGraph](https://www.anchorterminal.com/compare/agno-vs-langgraph.md)\n- [Agno vs Microsoft Agent Framework](https://www.anchorterminal.com/compare/agno-vs-microsoft-agent-framework.md)\n- [Agno vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/agno-vs-openai-agents-sdk.md)\n- [Agno vs Pydantic AI](https://www.anchorterminal.com/compare/agno-vs-pydantic-ai.md)\n- [Claude Agent SDK vs TradingAgents](https://www.anchorterminal.com/compare/claude-agent-sdk-vs-tradingagents.md)\n- [CrewAI vs TradingAgents](https://www.anchorterminal.com/compare/crewai-vs-tradingagents.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": "2026-10-25", "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": "Agno vs TradingAgents", "url": "" } ], "description": "Agno scores 72.8 (BB) to TradingAgents's 64.7 (B) for agent frameworks. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Agno BB 72.8", "TradingAgents B 64.7", "scores" ], "h1": "Agno vs TradingAgents", "image": "https://www.anchorterminal.com/assets/og/compare-agno-vs-tradingagents.png", "path": "/compare/agno-vs-tradingagents", "published": "2026-10-01", "section": "tools", "title": "Agno vs TradingAgents for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-10-25", "url": "https://www.anchorterminal.com/compare/agno-vs-tradingagents" }, "tokens": { "markdown": 2250, "slim": 630 }, "version": 1 }