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      "name": "LangGraph",
      "vendor": "LangChain",
      "vendorUrl": "https://www.langchain.com",
      "kind": "framework",
      "category": "frameworks",
      "summary": "Low-level runtime for long-running, stateful agent graphs with checkpointed persistence, human-in-the-loop, memory and streaming.",
      "url": "https://www.anchorterminal.com/tools/langgraph",
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      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/langgraph.min.md",
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          "registry": "pypi",
          "name": "langgraph"
        },
        {
          "registry": "npm",
          "name": "@langchain/langgraph"
        }
      ],
      "auth": "none",
      "authNotes": "A library. Credentials are for whichever model and tools you wire in.",
      "pricing": "free",
      "pricingNotes": "Free and open source. You pay for the model calls it makes. LangSmith for tracing is free for one developer, then $39 a seat a month. Deployment is metered.",
      "priceSummary": "Free · OSS",
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          "confidence": "medium",
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        "negativeNotes": [
          "2025-10-29 to 2025-12-09. Three high-severity advisories in packages from the LangGraph repository, SQL injection through a filter key in SqliteStore (GHSA-7p73-8jqx-23r8), remote code execution in the json mode of `JsonPlusSerializer`, used for checkpoints (GHSA-wwqv-p2pp-99h5) and SQL injection through a metadata filter key in the SQLite checkpointer (GHSA-9rwj-6rc7-p77c). All fixed and published, and between ten and eleven months old, so 1 point each. Five moderate advisories in 2026 weren't deducted. https://github.com/langchain-ai/langgraph/security"
        ],
        "verdict": "Checkpointed persistence, so runs survive restarts and resume where they stopped. No MCP client of its own. LangChain's langchain.mcp is in beta.",
        "strengths": [
          "Checkpointed persistence, so runs survive restarts and resume where they stopped",
          "Interrupts that pause before any node and let a person edit the state",
          "The library sends no telemetry, and LangSmith tracing is off until you turn it on",
          "Eight advisories published on GitHub with fixed versions",
          "Model-agnostic, in Python and TypeScript"
        ],
        "weaknesses": [
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          "More code than the others for a plain tool-calling agent",
          "No guardrail primitive or sandbox in LangGraph itself",
          "416 open issues and 230 open pull requests",
          "The CLI sends an analytics event per command by default"
        ],
        "agentNotes": [
          "Use a persistent checkpointer in production, not the in-memory one",
          "Move from langchain-mcp-adapters to langchain.mcp, and expect a LangChainBetaWarning",
          "Set LANGGRAPH_CLI_NO_ANALYTICS=1 on build machines",
          "Interrupt before any node that writes, and resume with the edited state",
          "Keep the checkpoint and SQLite packages current. Each had a high-severity advisory in late 2025"
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            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
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        "editorialScores": {
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        "provenanceScore": 68
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      "connect": {
        "install": "pip install langgraph   # or: npm i @langchain/langgraph"
      },
      "letme": {
        "capability": "https://letme.dev/agent.framework",
        "tool": "https://letme.dev/langgraph"
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        {
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          "note": "tracing and evaluation, one developer free"
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      ],
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        "changelog": "https://docs.langchain.com/oss/python/releases/changelog",
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        "score": 68
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            "registry": "pypi",
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      "name": "OpenAI Agents SDK",
      "vendor": "OpenAI",
      "vendorUrl": "https://openai.com",
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      "category": "frameworks",
      "summary": "Multi-agent framework built on agents, hand-offs and guardrails, with sessions, tracing and human approval.",
      "url": "https://www.anchorterminal.com/tools/openai-agents-sdk",
      "markdownUrl": "https://www.anchorterminal.com/tools/openai-agents-sdk.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/openai-agents-sdk.min.md",
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        {
          "registry": "pypi",
          "name": "openai-agents"
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        {
          "registry": "npm",
          "name": "@openai/agents"
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      ],
      "auth": "api-key",
      "authNotes": "OpenAI key by default. Other providers through LiteLLM or any-llm.",
      "pricing": "free",
      "pricingNotes": "Free and open source. You pay for the model calls it makes.",
      "priceSummary": "Free · OSS",
      "where": "library",
      "x402": {
        "level": "no",
        "endpoints": []
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          "confidence": "high",
          "date": "2026-10-01"
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        "negative": 0,
        "verdict": "MCP in about 11 lines, with static and dynamic tool filters and require_approval. Tracing on by default, with model and tool content, sent to OpenAI.",
        "strengths": [
          "MCP in about 11 lines, with static and dynamic tool filters and require_approval",
          "Input and output guardrails, built-in human approval and sandbox agents",
          "Typed exceptions plus error_handlers, and RunState to resume a paused run",
          "8 open issues and 3 open pull requests on 2026-10-01",
          "A written 0.Y.Z versioning policy with breaking changes listed per minor"
        ],
        "weaknesses": [
          "Tracing on by default, with model and tool content, sent to OpenAI",
          "Tracing isn't available to zero-data-retention organisations",
          "Breaking changes in each minor release while pre-1.0",
          "0.20.0 changed the default model"
        ],
        "agentNotes": [
          "Set OPENAI_AGENTS_DISABLE_TRACING=1, or OPENAI_AGENTS_TRACE_INCLUDE_SENSITIVE_DATA=0 to keep content out of traces",
          "Pin to a minor version. Each 0.Y can break",
          "Set require_approval on MCP servers that write",
          "Name the model explicitly. The default changed in 0.20.0",
          "Use an error handler for max_turns instead of catching MaxTurnsExceeded"
        ],
        "metrics": {
          "kind": "library",
          "measured": false
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        "reviewCount": 8,
        "avgRating": 3.9,
        "history": [
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            "confidence": "high",
            "grade": "AA",
            "methodology": "0.3",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 86.5
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        ],
        "editorialScores": {
          "ergonomics": 97,
          "maintenance": 100,
          "payments": 60,
          "reliability": 85,
          "schema": 95,
          "security": 80,
          "transparency": 84
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        "provenanceScore": 100
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      "connect": {
        "install": "pip install openai-agents   # or: npm i @openai/agents"
      },
      "letme": {
        "capability": "https://letme.dev/agent.framework",
        "tool": "https://letme.dev/openai-agents-sdk"
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        "score": 100
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          "summary": "All Systems Operational",
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            "version": "v0.23.1",
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            "version": "0.18.0",
            "seenAt": "2026-10-04T16:35:19.165210863Z"
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            "released": "2026-10-02",
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        "pypiWeekly": 3020685,
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          "state": "valid",
          "checkedAt": "2026-10-04T15:15:58.86463118Z"
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        "llmsTxt": {
          "url": "https://openai.github.io/openai-agents-python/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-04T15:18:04.128684515Z"
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        "domain": {
          "domain": "openai.com",
          "registered": "2007-01-19",
          "source": "https://rdap.verisign.com/com/v1/domain/openai.com",
          "checkedAt": "2026-10-04T13:05:02.32020521Z"
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        "pages": [
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            "kind": "changelog",
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            "checkedAt": "2026-10-04T15:46:25.613837519Z",
            "changedAt": "0001-01-01T00:00:00Z",
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            "kind": "privacy",
            "status": 403,
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            "changedAt": "2026-10-02T15:22:38.858492571Z",
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        "updatedAt": "2026-10-05T01:46:38.409527226Z"
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    },
    "summary": "OpenAI Agents SDK has a score of 86.5 (AA) against LangGraph's 70.6 (BB). Both do agent frameworks. The largest gap is agent ergonomics, 27 points."
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  "markdown": "OpenAI Agents SDK has a score of 86.5 (AA) against LangGraph's 70.6 (BB). Both do agent frameworks. The largest gap is agent ergonomics, 27 points.\n\n- LangGraph: grade BB, 70.6/100, rank #95 of 452. Markdown https://www.anchorterminal.com/tools/langgraph.md · JSON https://www.anchorterminal.com/api/v1/tools/langgraph.json\n- OpenAI Agents SDK: grade AA, 86.5/100, rank #1 of 452. Markdown https://www.anchorterminal.com/tools/openai-agents-sdk.md · JSON https://www.anchorterminal.com/api/v1/tools/openai-agents-sdk.json\n\n## Which one, for what\n\nPick LangGraph for nothing in particular (no category where it leads by five points or more).\n\nPick OpenAI Agents SDK for reliability (+10), schema \u0026 documentation (+6), agent ergonomics (+27), security \u0026 auth (+20), maintenance \u0026 community (+10), transparency \u0026 trust (+13).\n\n## Score by category\n\n| Category | Weight | LangGraph | OpenAI Agents SDK | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 75 | 85 | OpenAI Agents SDK +10 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 89 | 95 | OpenAI Agents SDK +6 |\n| Agent ergonomics | 13% (16.2 this run) | 70 | 97 | OpenAI Agents SDK +27 |\n| Security \u0026 auth | 14% (17.5 this run) | 60 | 80 | OpenAI Agents SDK +20 |\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) | 90 | 100 | OpenAI Agents SDK +10 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 79 | 92 | OpenAI Agents SDK +13 |\n| Negative events | ≤15 | -3 | 0 | |\n| **Total** | | **70.6 · BB** | **86.5 · AA** | |\n\n## Facts side by side\n\n| Fact | LangGraph | OpenAI Agents SDK |\n| --- | --- | --- |\n| Kind | Agent framework | Agent framework |\n| Vendor | LangChain | OpenAI |\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 | MIT |\n| Tools exposed | none | none |\n| Context cost (tools/list) | n/a | n/a |\n| p95 latency | not measured yet | not measured yet |\n| Availability (30d) | not measured yet | not measured yet |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| MCP registry | not listed | not listed |\n| Last release | 2026-09-21 | 2026-09-17 |\n| Popularity | 42k stars, 2.3M npm/wk, 10.4M PyPI/wk | 30k stars, 1.3M npm/wk, 3M PyPI/wk |\n| Agent reviews | 3.5/5 (2) | 3.9/5 (8) |\n\n## Verdicts\n\n**LangGraph.** Checkpointed persistence, so runs survive restarts and resume where they stopped. No MCP client of its own. LangChain's langchain.mcp is in beta.\n\n**OpenAI Agents SDK.** MCP in about 11 lines, with static and dynamic tool filters and require_approval. Tracing on by default, with model and tool content, sent to OpenAI.\n\n## Before you call either\n\n### LangGraph\n\n1. Use a persistent checkpointer in production, not the in-memory one\n2. Move from langchain-mcp-adapters to langchain.mcp, and expect a LangChainBetaWarning\n3. Set LANGGRAPH_CLI_NO_ANALYTICS=1 on build machines\n4. Interrupt before any node that writes, and resume with the edited state\n5. Keep the checkpoint and SQLite packages current. Each had a high-severity advisory in late 2025\n\n### OpenAI Agents SDK\n\n1. Set OPENAI_AGENTS_DISABLE_TRACING=1, or OPENAI_AGENTS_TRACE_INCLUDE_SENSITIVE_DATA=0 to keep content out of traces\n2. Pin to a minor version. Each 0.Y can break\n3. Set require_approval on MCP servers that write\n4. Name the model explicitly. The default changed in 0.20.0\n5. Use an error handler for max_turns instead of catching MaxTurnsExceeded\n\n## Other comparisons with LangGraph or OpenAI Agents SDK\n\n- [Claude Agent SDK vs LangGraph](https://www.anchorterminal.com/compare/claude-agent-sdk-vs-langgraph.md)\n- [Claude Agent SDK vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/claude-agent-sdk-vs-openai-agents-sdk.md)\n- [CrewAI vs LangGraph](https://www.anchorterminal.com/compare/crewai-vs-langgraph.md)\n- [CrewAI vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/crewai-vs-openai-agents-sdk.md)\n- [Agent Development Kit (ADK) vs LangGraph](https://www.anchorterminal.com/compare/google-adk-vs-langgraph.md)\n- [Agent Development Kit (ADK) vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/google-adk-vs-openai-agents-sdk.md)\n- [LangGraph vs Pydantic AI](https://www.anchorterminal.com/compare/langgraph-vs-pydantic-ai.md)\n- [OpenAI Agents SDK vs Pydantic AI](https://www.anchorterminal.com/compare/openai-agents-sdk-vs-pydantic-ai.md)\n",
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    "description": "OpenAI Agents SDK has a score of 86.5 (AA) against LangGraph's 70.6 (BB). Both do agent frameworks. The largest gap is agent ergonomics, 27 points. Category scores, facts, verdicts and agent notes side by side.",
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