{
  "data": {
    "a": {
      "slug": "microsoft-agent-framework",
      "name": "Microsoft Agent Framework",
      "vendor": "Microsoft",
      "vendorUrl": "https://www.microsoft.com",
      "kind": "framework",
      "category": "frameworks",
      "summary": "Microsoft Agent Framework is an open-source SDK for building AI agents and multi-agent workflows in Python and .NET, with a Go version in public preview. Microsoft names it the successor to AutoGen and Semantic Kernel.",
      "url": "https://www.anchorterminal.com/tools/microsoft-agent-framework",
      "markdownUrl": "https://www.anchorterminal.com/tools/microsoft-agent-framework.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/microsoft-agent-framework.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/microsoft-agent-framework.json",
      "repo": "https://github.com/microsoft/agent-framework",
      "license": "MIT",
      "transports": [],
      "packages": [
        {
          "registry": "pypi",
          "name": "agent-framework"
        },
        {
          "registry": "nuget",
          "name": "Microsoft.Agents.AI"
        }
      ],
      "auth": "none",
      "authNotes": "A library with no account of its own. Credentials are for the model provider and the tools used. The quickstarts sign in to Microsoft Foundry with an Azure credential, and the OpenAI, Anthropic and other clients take their own keys from the environment.",
      "pricing": "free",
      "pricingNotes": "Free under MIT, with model calls paid to the provider. Foundry hosted agents, the managed hosting option, is a separate Azure service at $0.0994 a vCPU-hour and $0.0118 an hour for memory in East US, per Azure's retail price API on 8 October 2026.",
      "priceSummary": "Free · OSS",
      "where": "library",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 found in the repository or the docs (checked 2026-10-08).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 14015,
        "npmWeekly": null,
        "pypiWeekly": 47507,
        "asOf": "2026-10-08"
      },
      "docsUrl": "https://learn.microsoft.com/en-us/agent-framework/overview/",
      "capabilities": [
        "agent.framework",
        "agent.multi-agent",
        "agent.durable",
        "agent.mcp-client"
      ],
      "tags": [
        "official",
        "framework",
        "python",
        "dotnet",
        "go",
        "open-source",
        "durable",
        "free",
        "no-card"
      ],
      "lastRelease": "2026-10-15",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 82.2,
        "grade": "A",
        "agentReady": true,
        "rank": 5,
        "ranked": true,
        "rankOf": 1210,
        "categoryRank": 2,
        "methodology": "0.6",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 87,
          "maintenance": 91,
          "payments": 60,
          "reliability": 78,
          "schema": 95,
          "security": 93,
          "transparency": 83
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "high",
          "date": "2026-10-17"
        },
        "negative": -2,
        "negativeNotes": [
          "2026-10-07. High-severity advisory GHSA-9f26-7mqc-9vc4 (CVSS 7.5). Microsoft.Agents.AI.Workflows.Declarative before 1.24.0 could forward values marked sensitive, including environment-scoped secrets, to an external MCP server from an InvokeMcpTool action. Fixed in 1.24.0 and published the same day, so 2 points. Two medium advisories published the same day (GHSA-q7g7-7c7x-frcq, approval not bound to transport headers, and GHSA-r2mq-wgc9-vgh3, Foundry toolbox bearer token sent to an unintended origin) weren't deducted. https://github.com/microsoft/agent-framework/security/advisories/GHSA-9f26-7mqc-9vc4"
        ],
        "verdict": "Python 1.22.0 and .NET 1.25.0 are MIT, past 1.0 and released about weekly, with an MCP client, tool approval, checkpointed graph workflows and OpenTelemetry. Breaking changes ship in minor releases, a version User-Agent and a feature-usage token are sent by default, and a high-severity advisory in the .NET declarative workflows package was published on 7 October 2026.",
        "bestFor": "Teams on Azure or .NET, and for teams moving off AutoGen or Semantic Kernel, that want MCP, approval, checkpointed workflows and OpenTelemetry in one SDK.",
        "strengths": [
          "MIT, with Python 1.22.0 (15 October 2026) and .NET 1.25.0 on NuGet (14 October 2026), both past 1.0 since 2 April 2026",
          "26 tagged releases in the 90 days to 17 October 2026, 14 for Python and 12 for .NET",
          "MCP client in the core package over stdio and streamable HTTP, with a tool allow-list, per-tool approval and optional progressive disclosure",
          "Graph workflows with checkpoints, in-memory and file storage in core, and five orchestration patterns (sequential, concurrent, handoff, group chat, Magentic)",
          "A safety page and FIDES, an information-flow control middleware for prompt injection, which is experimental and Python only"
        ],
        "weaknesses": [
          "Changes marked [BREAKING] shipped in minor releases of released packages, including agent-framework-core in 1.20.0 on 2 October and 1.22.0 on 15 October 2026",
          "A package and version User-Agent goes out on client requests by default, with a feature-usage token on Foundry and Azure OpenAI paths. Two environment variables turn them off",
          "Three advisories were published on 7 October 2026 against .NET packages, one high (CVSS 7.5), all with fixed versions",
          "Tools run without approval unless approval is set on each tool, per the safety page",
          "575 open issues and 201 open pull requests on 8 October 2026, and 36 of 44 Python packages are alpha or beta"
        ],
        "agentNotes": [
          "Pin exact versions. Minor releases have carried [BREAKING] changes, and 1.22.0 writes stored state that earlier runtimes can't read, so read python/CHANGELOG.md or the upgrade guides before moving up",
          "Set `approval_mode=\"always_require\"` on tools and MCP servers that write. The default is `never_require`",
          "Pass `allowed_tools` to `MCPStdioTool` or `MCPStreamableHTTPTool` so only the named MCP tools reach the model",
          "Set `AGENT_FRAMEWORK_USER_AGENT_DISABLED=true` to drop the framework's User-Agent and feature token, or `AGENT_FRAMEWORK_FEATURE_MASK_DISABLED=true` for the token alone",
          "On .NET, use Microsoft.Agents.AI.Workflows.Declarative 1.24.0 or later. Earlier versions could forward protected workflow values to an external MCP server"
        ],
        "metrics": {
          "kind": "library",
          "measured": false
        },
        "reviewCount": 4,
        "avgRating": 3,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "high",
            "grade": "A",
            "methodology": "0.6",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 82.2
          }
        ],
        "editorialScores": {
          "ergonomics": 87,
          "maintenance": 91,
          "payments": 60,
          "reliability": 78,
          "schema": 95,
          "security": 93,
          "transparency": 86
        },
        "provenanceScore": 80,
        "checked": {
          "categories": {
            "ergonomics": "2026-10-17",
            "maintenance": "2026-10-17",
            "payments": "2026-10-17",
            "reliability": "2026-10-17",
            "schema": "2026-10-17",
            "security": "2026-10-17",
            "transparency": "2026-10-17"
          },
          "last": "2026-10-17",
          "oldest": "2026-10-17",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "connect": {
        "install": "pip install agent-framework   # or: dotnet add package Microsoft.Agents.AI"
      },
      "letme": {
        "capability": "https://letme.dev/agent.framework",
        "tool": "https://letme.dev/microsoft-agent-framework"
      },
      "sameCompany": [
        "azure-foundry-fine-tuning",
        "azure-ai-content-safety",
        "azure-speech-to-text",
        "azure-text-to-speech",
        "microsoft-execution-containers",
        "microsoft-entra-agent-id",
        "azure-key-vault",
        "azure-document-intelligence",
        "azure-devops-mcp",
        "microsoft-learn-mcp",
        "playwright-mcp",
        "azure-mcp",
        "azure-maps",
        "azure-translator",
        "microsoft-graph-calendar",
        "azure-blob-storage",
        "onedrive-sharepoint",
        "microsoft-teams",
        "dynamics-365-sales",
        "copilot-studio-mcp",
        "power-automate",
        "foundry-local",
        "microsoft-decision-1",
        "microsoft-advertising-api",
        "microsoft-excel-graph",
        "outlook-mail-graph",
        "microsoft-graph-people"
      ],
      "area": "frameworks",
      "unitPrices": [
        {
          "item": "Foundry hosted agents",
          "unit": "vcpu-hour",
          "usd": 0.0994,
          "note": "East US, plus $0.0118 an hour for memory. A separate Azure service"
        }
      ],
      "provenance": {
        "legalEntity": "Microsoft Corporation",
        "domain": "microsoft.com",
        "domainRegistered": "1991-05-02",
        "endpointOnVendorDomain": null,
        "terms": "",
        "privacy": "",
        "statusPage": "",
        "changelog": "https://github.com/microsoft/agent-framework/blob/main/python/CHANGELOG.md",
        "securityTxt": "expired",
        "checked": "2026-10-08",
        "notes": [
          "The repository is under GitHub's microsoft organisation and its licence file reads Copyright (c) Microsoft Corporation.",
          "No terms or privacy document for the framework itself was found. The MIT licence is the only document that governs the packages, and neither the repository README nor the core package README links a privacy statement, so both fields are left out.",
          "www.microsoft.com/.well-known/security.txt loads and points to the MSRC researcher portal, but its Expires field is 2026-09-23T16:00:00.000Z, which had passed on 8 October 2026. learn.microsoft.com has none.",
          "RDAP gives microsoft.com a registration date of 1991-05-02.",
          "The changelog link is the Python one. No changelog file was found for .NET in the repository."
        ],
        "score": 80
      },
      "requirements": {
        "card": "unknown",
        "freeTier": true,
        "minutes": 5,
        "credential": "mixed",
        "hosting": [
          "self-hosted"
        ],
        "euResidency": "unknown",
        "trainsOnData": "no",
        "zeroRetention": "unknown",
        "selfHost": "yes"
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/microsoft-agent-framework.json",
      "live": {
        "slug": "microsoft-agent-framework",
        "versions": [
          {
            "registry": "github",
            "name": "microsoft/agent-framework",
            "version": "dotnet-1.26.0",
            "released": "2026-10-23",
            "seenAt": "2026-10-25T09:04:53.891363513Z"
          },
          {
            "registry": "pypi",
            "name": "agent-framework",
            "version": "1.23.0",
            "released": "2026-10-22",
            "seenAt": "2026-10-25T09:04:53.701347818Z"
          }
        ],
        "githubStars": 14308,
        "pypiWeekly": 48610,
        "securityTxt": {
          "url": "https://microsoft.com/.well-known/security.txt",
          "state": "expired",
          "expires": "2026-09-23T16:00:00.000Z",
          "checkedAt": "2026-10-25T15:28:00.893318749Z"
        },
        "domain": {
          "domain": "microsoft.com",
          "registered": "1991-05-02",
          "source": "https://rdap.verisign.com/com/v1/domain/microsoft.com",
          "checkedAt": "2026-10-25T13:59:13.024843334Z"
        },
        "pages": [
          {
            "url": "https://raw.githubusercontent.com/microsoft/agent-framework/main/python/CHANGELOG.md",
            "kind": "changelog",
            "status": 304,
            "checkedAt": "2026-10-25T02:55:38.992392245Z",
            "changedAt": "2026-10-23T01:56:20.640571619Z",
            "fingerprint": "4bda75c0a15a"
          }
        ],
        "github": {
          "repo": "microsoft/agent-framework",
          "checkedAt": "2026-10-19T06:28:07.193846703Z",
          "stars": 14200,
          "archived": false,
          "issuesEnabled": true,
          "pushedAt": "2026-10-18T14:37:51Z",
          "openIssues": 595,
          "openPRs": 205,
          "issuesOpened90d": 802,
          "issuesClosed90d": 710,
          "prsMerged90d": 1006,
          "ci": {
            "branch": "main",
            "runs": 50,
            "success": 32,
            "failure": 18,
            "other": 0,
            "latest": "success",
            "latestAt": "2026-10-18T11:42:13Z"
          },
          "advisories": [
            {
              "ghsa": "GHSA-r2mq-wgc9-vgh3",
              "severity": "medium",
              "published": "2026-10-07T13:55:48Z"
            },
            {
              "ghsa": "GHSA-9f26-7mqc-9vc4",
              "severity": "high",
              "published": "2026-10-07T13:41:40Z"
            },
            {
              "ghsa": "GHSA-q7g7-7c7x-frcq",
              "severity": "medium",
              "published": "2026-10-07T13:41:36Z"
            }
          ],
          "replies": {
            "sampled": 6,
            "unanswered": 6
          }
        },
        "updatedAt": "2026-10-25T15:28:00.893318749Z"
      }
    },
    "answer": "Microsoft Agent Framework scores 82.2 (A) on agent readiness against TradingAgents's 64.7 (B), and leads in 6 of 7 scored categories.",
    "b": {
      "slug": "tradingagents",
      "name": "TradingAgents",
      "vendor": "Tauric Research",
      "vendorUrl": "https://tauric.ai",
      "kind": "framework",
      "category": "frameworks",
      "summary": "TradingAgents, from Tauric Research, is an open-source Python framework on LangGraph in which LLM agents for analysis, research debate, trading and risk review produce a five-tier rating and a report for one ticker and date.",
      "url": "https://www.anchorterminal.com/tools/tradingagents",
      "markdownUrl": "https://www.anchorterminal.com/tools/tradingagents.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/tradingagents.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/tradingagents.json",
      "repo": "https://github.com/TauricResearch/TradingAgents",
      "license": "Apache-2.0",
      "transports": [],
      "packages": [],
      "auth": "api-key",
      "authNotes": "The framework has no account of its own. Each model provider's key is read from the environment or a .env file, which the package loads on import by walking up from the working directory. A ChatGPT Plus or Pro plan can be used instead through OpenAI's sign-in for open-source apps (PKCE, dynamic client registration, loopback redirect), with tokens kept in ~/.tradingagents/chatgpt-auth.json readable only by its owner and revoked by `tradingagents logout chatgpt`. Bedrock uses AWS credentials. Alpha Vantage, FRED and TypeSafe's Jev take optional keys; Yahoo Finance, SEC EDGAR, Reddit, StockTwits and Polymarket need none.",
      "pricing": "free",
      "pricingNotes": "Free under Apache 2.0, with nothing to buy from Tauric Research to run it. Each run calls the chosen model provider many times (four analysts, a debate, a trader, three risk debaters and two managers by default), billed by that provider, or counted against a ChatGPT plan's usage limits. Alpha Vantage and Jev bill on their own terms when their keys are set. Tauric Research's hosted services at tauric.ai are invitation or enterprise access with no public price, and are not this listing (checked 2026-10-25).",
      "priceSummary": "Free · OSS",
      "where": "library",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the source, README or changelog of v0.7.0 (checked 2026-10-25).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 114000,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-25"
      },
      "docsUrl": "https://github.com/TauricResearch/TradingAgents#readme",
      "capabilities": [
        "agent.framework",
        "agent.multi-agent",
        "agent.durable"
      ],
      "tags": [
        "framework",
        "python",
        "langgraph",
        "open-source",
        "apache-2.0",
        "self-hosted",
        "local",
        "cli",
        "docker",
        "free",
        "pre-1.0"
      ],
      "lastRelease": "2026-10-16",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 64.7,
        "grade": "B",
        "agentReady": false,
        "rank": 388,
        "ranked": true,
        "rankOf": 1210,
        "categoryRank": 11,
        "methodology": "0.6",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 61,
          "maintenance": 82,
          "payments": 60,
          "reliability": 67,
          "schema": 61,
          "security": 62,
          "transparency": 68
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-25"
        },
        "negative": 0,
        "verdict": "An Apache 2.0 LangGraph framework at 0.7.0 with six releases in 90 days, a dated changelog with upgrade notes, a public test matrix and point-in-time rules for historical runs. It has no MCP client or server, no PyPI package and no documentation beyond the README, and its output is a model-written rating that places no orders.",
        "bestFor": "Researchers who want a fixed multi-agent analysis of one listed instrument or crypto pair on a date, with point-in-time data for backtests, and who will run Python.",
        "strengths": [
          "Apache 2.0, with six releases between 30 August and 16 October 2026 and \"Upgrading from\" notes in a dated changelog",
          "CI runs 982 test functions on Python 3.11 to 3.14, a clean-install import check and Ruff, passing on main on 25 October 2026",
          "Past-dated runs read SEC EDGAR statements as filed on that date and withhold Yahoo statements and insider trades that can't be dated",
          "Runs headless from flags and TRADINGAGENTS_* variables, and checkpoint resume and backtest run IDs skip work already done",
          "Places no orders and holds no broker credentials; tools only read market, filing, news and social data"
        ],
        "weaknesses": [
          "No MCP client or MCP server, so an agent drives it only through Python or the CLI",
          "Not on PyPI; installs from a clone, Docker or the wheel attached to each GitHub release since 0.7.0",
          "Documentation is the README and changelog only, with no API reference or llms.txt",
          "0.5.1, a patch release, moved import paths and removed classes without a deprecation period",
          "News, Reddit and StockTwits text goes into prompts with no documented guidance on prompt injection"
        ],
        "agentNotes": [
          "Run headless with `tradingagents --ticker \u003cT\u003e --date \u003cYYYY-MM-DD\u003e --analysts market,news,fundamentals --save --no-show`; a missing answer stops the run and names the flag",
          "Guard on the REVIEW signal before mapping `propagate()`'s decision to a rating; it means no rating could be parsed",
          "Set SEC_EDGAR_USER_AGENT to the operator's own name and address before fetching US fundamentals",
          "Keep provider keys out of the working directory tree unless intended, since the package loads the nearest .env on import",
          "Treat the rating as model output for research; the framework places no orders and its results vary between runs"
        ],
        "metrics": {
          "kind": "library",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.6",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 64.7
          }
        ],
        "editorialScores": {
          "ergonomics": 61,
          "maintenance": 82,
          "payments": 60,
          "reliability": 67,
          "schema": 61,
          "security": 62,
          "transparency": 73
        },
        "provenanceScore": 62,
        "checked": {
          "categories": {
            "ergonomics": "2026-10-25",
            "maintenance": "2026-10-25",
            "payments": "2026-10-25",
            "reliability": "2026-10-25",
            "schema": "2026-10-25",
            "security": "2026-10-25",
            "transparency": "2026-10-25"
          },
          "last": "2026-10-25",
          "oldest": "2026-10-25",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "connect": {
        "install": "git clone https://github.com/TauricResearch/TradingAgents.git \u0026\u0026 cd TradingAgents \u0026\u0026 pip install ."
      },
      "letme": {
        "capability": "https://letme.dev/agent.framework",
        "tool": "https://letme.dev/tradingagents"
      },
      "area": "frameworks",
      "provenance": {
        "legalEntity": "Tauric Research",
        "domain": "tauric.ai",
        "domainRegistered": "2025-03-26",
        "endpointOnVendorDomain": null,
        "terms": "https://tauric.ai/terms",
        "privacy": "https://tauric.ai/privacy",
        "statusPage": "",
        "changelog": "https://github.com/TauricResearch/TradingAgents/blob/main/CHANGELOG.md",
        "securityTxt": "none",
        "checked": "2026-10-25",
        "notes": [
          "The terms and privacy policy, both effective 23 October 2026, name Tauric Research and California law and cover tauric.ai's hosted services. No legal form or address was found. The framework itself is under Apache 2.0, whose LICENSE file carries no copyright line.",
          "tauric.ai/.well-known/security.txt returns the site's HTML page, not a security.txt. The repository's issue template sends security reports to GitHub private vulnerability reporting; there is no SECURITY.md.",
          "RDAP gives tauric.ai a registration date of 2025-03-26.",
          "No status page; the software runs on the user's machine."
        ],
        "score": 62
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/tradingagents.json",
      "live": {
        "slug": "tradingagents",
        "securityTxt": {
          "url": "https://tauric.ai/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-25T15:28:01.187774257Z"
        },
        "updatedAt": "2026-10-25T15:28:01.187774257Z"
      }
    },
    "facts": [
      {
        "a": "Agent framework",
        "b": "Agent framework",
        "name": "Kind"
      },
      {
        "a": "Microsoft",
        "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": "MIT",
        "b": "Apache-2.0",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "no",
        "b": "no",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-15",
        "b": "2026-10-16",
        "name": "Last release"
      },
      {
        "a": "no document linked",
        "b": "",
        "name": "Terms last updated"
      },
      {
        "a": "no document linked",
        "b": "",
        "name": "Privacy policy last updated"
      },
      {
        "a": "",
        "b": "",
        "name": "Customer content may train models"
      },
      {
        "a": "",
        "b": "",
        "name": "Terms restrict automated access"
      },
      {
        "a": "",
        "b": "",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "",
        "b": "",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "",
        "b": "",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "14k stars, 48k PyPI/wk",
        "b": "114k stars",
        "name": "Popularity"
      },
      {
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    "faq": [
      {
        "answer": "Microsoft Agent Framework scores 82.2 (A) on agent readiness against TradingAgents's 64.7 (B), and leads in 6 of 7 scored categories.",
        "question": "Which is better for AI agents, Microsoft Agent Framework or TradingAgents?"
      },
      {
        "answer": "Yes. Microsoft Agent Framework is open source (MIT). TradingAgents is open source (Apache-2.0).",
        "question": "Are Microsoft Agent Framework and TradingAgents open source?"
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          "Maintenance \u0026 community, 91 against 82",
          "Transparency \u0026 trust, 83 against 68"
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          "Agent-ready, a grade of BB or better",
          "No key needed to call it",
          "Free to start without a card"
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        "pending": true,
        "weight": 10
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        "microsoft-agent-framework": 95,
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        "tradingagents": 61,
        "weight": 13
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        "tradingagents": 61,
        "weight": 13
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        "microsoft-agent-framework": 93,
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        "tradingagents": 62,
        "weight": 14
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        "edge": "",
        "key": "payments",
        "microsoft-agent-framework": 60,
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        "tradingagents": 60,
        "weight": 10
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        "pending": true,
        "weight": 10
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        "edge": "microsoft-agent-framework",
        "key": "maintenance",
        "microsoft-agent-framework": 91,
        "name": "Maintenance \u0026 community",
        "tradingagents": 82,
        "weight": 7
      },
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        "edge": "microsoft-agent-framework",
        "key": "transparency",
        "microsoft-agent-framework": 83,
        "name": "Transparency \u0026 trust",
        "tradingagents": 68,
        "weight": 7
      }
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    "summary": "Microsoft Agent Framework scores 82.2 (A) on agent readiness against TradingAgents's 64.7 (B), and leads in 6 of 7 scored categories. Both do agent frameworks.",
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    "verdicts": {
      "microsoft-agent-framework": "Python 1.22.0 and .NET 1.25.0 are MIT, past 1.0 and released about weekly, with an MCP client, tool approval, checkpointed graph workflows and OpenTelemetry. Breaking changes ship in minor releases, a version User-Agent and a feature-usage token are sent by default, and a high-severity advisory in the .NET declarative workflows package was published on 7 October 2026.",
      "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."
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  "markdown": "Microsoft Agent Framework scores 82.2 (A) on agent readiness against TradingAgents's 64.7 (B), and leads in 6 of 7 scored categories. Both do agent frameworks.\n\n- Microsoft Agent Framework: grade A, 82.2/100, rank #5 of 1210. Markdown https://www.anchorterminal.com/tools/microsoft-agent-framework.md · JSON https://www.anchorterminal.com/api/v1/tools/microsoft-agent-framework.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### Microsoft Agent Framework (A)\n\nGood for: Teams on Azure or .NET, and for teams moving off AutoGen or Semantic Kernel, that want MCP, approval, checkpointed workflows and OpenTelemetry in one SDK.\n\nAhead on:\n- Reliability, 78 against 67\n- Schema \u0026 documentation, 95 against 61\n- Agent ergonomics, 87 against 61\n- Security \u0026 auth, 93 against 62\n- Maintenance \u0026 community, 91 against 82\n- Transparency \u0026 trust, 83 against 68\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- No key needed to call it\n- Free to start without a card\n\nWatch for: Changes marked [BREAKING] shipped in minor releases of released packages, including agent-framework-core in 1.20.0 on 2 October and 1.22.0 on 15 October 2026\n\n### TradingAgents (B)\n\nGood for: Researchers who want a fixed multi-agent analysis of one listed instrument or crypto pair on a date, with point-in-time data for backtests, and who will run Python.\n\nWatch for: No MCP client or MCP server, so an agent drives it only through Python or the CLI\n\n\n## Score by category\n\n| Category | Weight | Microsoft Agent Framework | TradingAgents | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 78 | 67 | Microsoft Agent Framework +11 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 95 | 61 | Microsoft Agent Framework +34 |\n| Agent ergonomics | 13% (16.2 this run) | 87 | 61 | Microsoft Agent Framework +26 |\n| Security \u0026 auth | 14% (17.5 this run) | 93 | 62 | Microsoft Agent Framework +31 |\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) | 91 | 82 | Microsoft Agent Framework +9 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 83 | 68 | Microsoft Agent Framework +15 |\n| Negative events | ≤15 | -2 | 0 | |\n| **Total** | | **82.2 · A** | **64.7 · B** | |\n\n## Facts side by side\n\n| Fact | Microsoft Agent Framework | TradingAgents |\n| --- | --- | --- |\n| Kind | Agent framework | Agent framework |\n| Vendor | Microsoft | 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 | MIT | Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | no | no |\n| Last release | 2026-10-15 | 2026-10-16 |\n| Terms last updated | no document linked |  |\n| Privacy policy last updated | no document linked |  |\n| Customer content may train models |  |  |\n| Terms restrict automated access |  |  |\n| Terms restrict benchmarking |  |  |\n| Terms or service can change without notice |  |  |\n| Arbitration or class-action waiver |  |  |\n| Popularity | 14k stars, 48k PyPI/wk | 114k stars |\n| Agent reviews | 3/5 (4) | none |\n\n## Verdicts\n\n**Microsoft Agent Framework.** Python 1.22.0 and .NET 1.25.0 are MIT, past 1.0 and released about weekly, with an MCP client, tool approval, checkpointed graph workflows and OpenTelemetry. Breaking changes ship in minor releases, a version User-Agent and a feature-usage token are sent by default, and a high-severity advisory in the .NET declarative workflows package was published on 7 October 2026.\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### Microsoft Agent Framework\n\n1. Pin exact versions. Minor releases have carried [BREAKING] changes, and 1.22.0 writes stored state that earlier runtimes can't read, so read python/CHANGELOG.md or the upgrade guides before moving up\n2. Set `approval_mode=\"always_require\"` on tools and MCP servers that write. The default is `never_require`\n3. Pass `allowed_tools` to `MCPStdioTool` or `MCPStreamableHTTPTool` so only the named MCP tools reach the model\n4. Set `AGENT_FRAMEWORK_USER_AGENT_DISABLED=true` to drop the framework's User-Agent and feature token, or `AGENT_FRAMEWORK_FEATURE_MASK_DISABLED=true` for the token alone\n5. On .NET, use Microsoft.Agents.AI.Workflows.Declarative 1.24.0 or later. Earlier versions could forward protected workflow values to an external 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, Microsoft Agent Framework or TradingAgents?\n\nMicrosoft Agent Framework scores 82.2 (A) on agent readiness against TradingAgents's 64.7 (B), and leads in 6 of 7 scored categories.\n\n### Are Microsoft Agent Framework and TradingAgents open source?\n\nYes. Microsoft Agent Framework is open source (MIT). TradingAgents is open source (Apache-2.0).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/microsoft-agent-framework-vs-tradingagents.json, and with the fewest tokens: https://www.anchorterminal.com/compare/microsoft-agent-framework-vs-tradingagents.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"microsoft-agent-framework\", \"b\": \"tradingagents\"}`. From a terminal: `anchor compare microsoft-agent-framework tradingagents`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/microsoft-agent-framework.json and https://www.anchorterminal.com/api/v1/tools/tradingagents.json\n\n## Other comparisons with Microsoft Agent Framework or TradingAgents\n\n- [AgentOS vs Microsoft Agent Framework](https://www.anchorterminal.com/compare/agentos-vs-microsoft-agent-framework.md)\n- [AgentOS vs TradingAgents](https://www.anchorterminal.com/compare/agentos-vs-tradingagents.md)\n- [Agno vs Microsoft Agent Framework](https://www.anchorterminal.com/compare/agno-vs-microsoft-agent-framework.md)\n- [Agno vs TradingAgents](https://www.anchorterminal.com/compare/agno-vs-tradingagents.md)\n- [Claude Agent SDK vs Microsoft Agent Framework](https://www.anchorterminal.com/compare/claude-agent-sdk-vs-microsoft-agent-framework.md)\n- [Claude Agent SDK vs TradingAgents](https://www.anchorterminal.com/compare/claude-agent-sdk-vs-tradingagents.md)\n- [CrewAI vs Microsoft Agent Framework](https://www.anchorterminal.com/compare/crewai-vs-microsoft-agent-framework.md)\n- [CrewAI vs TradingAgents](https://www.anchorterminal.com/compare/crewai-vs-tradingagents.md)\n- [Docker Agent vs Microsoft Agent Framework](https://www.anchorterminal.com/compare/docker-agent-vs-microsoft-agent-framework.md)\n- [Docker Agent vs TradingAgents](https://www.anchorterminal.com/compare/docker-agent-vs-tradingagents.md)\n- [Agent Development Kit (ADK) vs Microsoft Agent Framework](https://www.anchorterminal.com/compare/google-adk-vs-microsoft-agent-framework.md)\n- [Agent Development Kit (ADK) vs TradingAgents](https://www.anchorterminal.com/compare/google-adk-vs-tradingagents.md)\n- [guilds.run vs Microsoft Agent Framework](https://www.anchorterminal.com/compare/guilds-run-vs-microsoft-agent-framework.md)\n- [guilds.run vs TradingAgents](https://www.anchorterminal.com/compare/guilds-run-vs-tradingagents.md)\n- [LangGraph vs Microsoft Agent Framework](https://www.anchorterminal.com/compare/langgraph-vs-microsoft-agent-framework.md)\n- [LangGraph vs TradingAgents](https://www.anchorterminal.com/compare/langgraph-vs-tradingagents.md)\n- [Microsoft Agent Framework vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/microsoft-agent-framework-vs-openai-agents-sdk.md)\n- [Microsoft Agent Framework vs Pydantic AI](https://www.anchorterminal.com/compare/microsoft-agent-framework-vs-pydantic-ai.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",
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