{ "data": { "a": { "slug": "langgraph", "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", "markdownUrl": "https://www.anchorterminal.com/tools/langgraph.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/langgraph.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/langgraph.json", "dns": "langgraph.grade.anchorterminal.com", "repo": "https://github.com/langchain-ai/langgraph", "license": "MIT", "transports": [], "packages": [ { "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", "where": "library", "x402": { "level": "no", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 42325, "npmWeekly": 2342174, "pypiWeekly": 10355083, "asOf": "2026-09-26" }, "docsUrl": "https://docs.langchain.com/oss/python/langgraph/overview", "llmsTxt": "https://docs.langchain.com/llms.txt", "capabilities": [ "agent.framework", "agent.multi-agent", "agent.durable", "agent.mcp-client" ], "tags": [ "framework", "python", "typescript", "open-source", "durable" ], "lastRelease": "2026-10-30", "graded": true, "anchor": { "graded": true, "score": 69.8, "grade": "B", "agentReady": false, "rank": 227, "ranked": true, "rankOf": 1510, "categoryRank": 12, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 70, "maintenance": 90, "payments": 60, "reliability": 75, "schema": 89, "security": 60, "transparency": 81 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-01" }, "negative": -4, "negativeNotes": [ "2025-11-05 to 2025-12-10. Two high-severity advisories in checkpoint packages from the LangGraph repository, remote code execution in the json mode of `JsonPlusSerializer`, used for checkpoints (GHSA-wwqv-p2pp-99h5, fixed in langgraph-checkpoint 3.0.0) and SQL injection through a metadata filter key in the SQLite checkpointer (GHSA-9rwj-6rc7-p77c, fixed in 3.0.1). Both fixed and published, and between ten and twelve months old, so 1 point each. A third, GHSA-7p73-8jqx-23r8 (29 October 2025), left the 12-month window on 1 November 2026 and no longer counts. Eight moderate advisories in 2026 weren't deducted. https://api.osv.dev/v1/query", "2026-10-05. High-severity advisory GHSA-fvww-7h3r-vfhp (CVE-2026-104873, CVSS 4.0 7.6). In langgraph-sdk 0.1.45 to 0.4.3, the custom-auth decorators @auth.on.threads, @auth.on.assistants and @auth.on.crons ignored their actions argument, so an authenticated user could bypass fallback ownership or permission checks and read, update or delete another user's resource. Fixed in langgraph-sdk 0.4.4 and published, under two months old, so 2 points, as pydantic-ai's and microsoft-agent-framework's fixed Highs took. https://osv.dev/vulnerability/GHSA-fvww-7h3r-vfhp" ], "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.", "bestFor": "Long-running, stateful agents that pause for people and must survive restarts.", "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", "13 advisories for packages from the repository since October 2025, each published with a fixed version", "Model-agnostic, in Python and TypeScript" ], "weaknesses": [ "No MCP client of its own. LangChain's langchain.mcp is in beta", "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 on 1 October 2026", "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 langgraph-checkpoint, the SQLite checkpointer and langgraph-sdk current. The SDK's custom-auth decorators ignored actions before 0.4.4 (October 2026)" ], "metrics": { "kind": "library", "measured": false }, "reviewCount": 2, "avgRating": 3.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 69.8 } ], "editorialScores": { "ergonomics": 70, "maintenance": 90, "payments": 60, "reliability": 75, "schema": 89, "security": 60, "transparency": 89 }, "provenanceScore": 73, "checked": { "categories": { "ergonomics": "2026-11-01", "maintenance": "2026-11-01", "payments": "2026-11-01", "reliability": "2026-11-01", "schema": "2026-11-01", "security": "2026-11-01", "transparency": "2026-11-01" }, "last": "2026-11-01", "lastMoved": "2026-11-01", "oldest": "2026-11-01", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "pip install langgraph # or: npm i @langchain/langgraph" }, "letme": { "capability": "https://letme.dev/agent.framework", "tool": "https://letme.dev/langgraph" }, "sameCompany": [ "langmem", "langsmith" ], "area": "frameworks", "unitPrices": [ { "item": "LangSmith Plus", "unit": "seat-month", "usd": 39, "note": "tracing and evaluation, one developer free" } ], "provenance": { "legalEntity": "LangChain, Inc.", "domain": "langchain.com", "domainRegistered": "2019-12-03", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "https://docs.langchain.com/oss/python/releases/changelog", "securityTxt": "none", "checked": "2026-11-01", "score": 73 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/langgraph.json", "live": { "slug": "langgraph", "versions": [ { "registry": "github", "name": "langchain-ai/langgraph", "version": "sdk==0.4.14", "released": "2026-11-06", "seenAt": "2026-11-06T23:38:33.85634508Z" }, { "registry": "npm", "name": "@langchain/langgraph", "version": "1.7.1", "seenAt": "2026-11-06T23:38:33.634742733Z" }, { "registry": "pypi", "name": "langgraph", "version": "1.2.20", "released": "2026-11-05", "seenAt": "2026-11-06T23:38:33.484444092Z" } ], "githubStars": 44584, "npmWeekly": 4879123, "pypiWeekly": 13732776, "securityTxt": { "url": "https://langchain.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-07T16:00:25.158914764Z" }, "llmsTxt": { "url": "https://docs.langchain.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-07T15:32:51.187508053Z" }, "domain": { "domain": "langchain.com", "registered": "2019-12-03", "source": "https://rdap.verisign.com/com/v1/domain/langchain.com", "checkedAt": "2026-11-01T14:16:16.486101867Z" }, "pages": [ { "url": "https://docs.langchain.com/oss/python/releases/changelog", "kind": "deprecations", "status": 200, "checkedAt": "2026-11-07T14:06:53.53014171Z", "changedAt": "2026-11-03T07:47:48.949575993Z", "fingerprint": "262146f3263b" } ], "github": { "repo": "langchain-ai/langgraph", "checkedAt": "2026-11-02T08:59:32.935950463Z", "stars": 44315, "archived": false, "issuesEnabled": true, "pushedAt": "2026-11-02T04:37:36Z", "openIssues": 316, "openPRs": 121, "issuesOpened90d": 291, "issuesClosed90d": 382, "prsMerged90d": 250, "ci": { "branch": "main", "runs": 50, "success": 36, "failure": 3, "other": 11, "latest": "failure", "latestAt": "2026-11-02T04:40:22Z" }, "advisories": [ { "ghsa": "GHSA-6hmw-9432-67qq", "cve": "CVE-2026-115883", "severity": "medium", "published": "2026-10-21T13:34:00Z" }, { "ghsa": "GHSA-8prr-f582-jqq3", "cve": "CVE-2026-115885", "severity": "medium", "published": "2026-10-19T14:08:41Z" }, { "ghsa": "GHSA-3fx2-cqw9-xr3c", "cve": "CVE-2026-118667", "severity": "medium", "published": "2026-10-07T17:31:37Z" }, { "ghsa": "GHSA-4hm6-w6qq-w73v", "cve": "CVE-2026-118668", "severity": "high", "published": "2026-09-28T14:44:55Z" }, { "ghsa": "GHSA-fvww-7h3r-vfhp", "cve": "CVE-2026-104873", "severity": "high", "published": "2026-08-28T14:30:41Z" }, { "ghsa": "GHSA-47pj-3jcm-6whg", "cve": "CVE-2026-71433", "severity": "medium", "published": "2026-07-30T19:46:53Z" }, { "ghsa": "GHSA-fjqc-hq36-qh5p", "cve": "CVE-2026-48775", "severity": "medium", "published": "2026-05-22T17:18:27Z" }, { "ghsa": "GHSA-w39p-vh2g-g8g5", "cve": "CVE-2026-48776", "severity": "medium", "published": "2026-05-22T17:18:22Z" }, { "ghsa": "GHSA-g48c-2wqr-h844", "cve": "CVE-2026-28277", "severity": "medium", "published": "2026-03-05T16:52:38Z" }, { "ghsa": "GHSA-mhr3-j7m5-c7c9", "cve": "CVE-2026-27794", "severity": "medium", "published": "2026-02-23T19:15:53Z" }, { "ghsa": "GHSA-9rwj-6rc7-p77c", "cve": "CVE-2025-67644", "severity": "high", "published": "2025-12-09T22:07:45Z" }, { "ghsa": "GHSA-wwqv-p2pp-99h5", "cve": "CVE-2025-64439", "severity": "high", "published": "2025-11-05T15:13:54Z" }, { "ghsa": "GHSA-7p73-8jqx-23r8", "cve": "CVE-2025-64104", "severity": "high", "published": "2025-10-29T18:02:57Z" } ], "replies": { "sampled": 25, "unanswered": 24, "medianDays": 3.1 } }, "updatedAt": "2026-11-07T16:00:25.158914764Z" } }, "answer": "Strands Agents scores 80 (A) on agent readiness against LangGraph's 69.8 (B), and leads in 4 of 7 scored categories. LangGraph leads on transparency \u0026 trust.", "b": { "slug": "strands-agents", "name": "Strands Agents", "vendor": "Amazon Web Services", "vendorUrl": "https://strandsagents.com", "kind": "framework", "category": "frameworks", "summary": "Strands Agents is AWS's open-source agent SDK for Python and TypeScript. A model-driven loop runs tools, MCP servers, multi-agent patterns, sessions, interrupts for human approval and OpenTelemetry tracing, with Amazon Bedrock as the default model provider.", "url": "https://www.anchorterminal.com/tools/strands-agents", "markdownUrl": "https://www.anchorterminal.com/tools/strands-agents.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/strands-agents.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/strands-agents.json", "dns": "strands-agents.grade.anchorterminal.com", "repo": "https://github.com/strands-agents/harness-sdk", "license": "Apache-2.0", "transports": [], "packages": [ { "registry": "pypi", "name": "strands-agents" }, { "registry": "npm", "name": "@strands-agents/sdk" }, { "registry": "pypi", "name": "strands-agents-tools" } ], "auth": "none", "authNotes": "A library with no credentials of its own. The default Bedrock provider uses the caller's AWS credentials; other providers take their own API keys.", "pricing": "free", "pricingNotes": "Free and open source under Apache-2.0. You pay for model calls, on Bedrock by default or with any supported provider.", "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": 9066, "npmWeekly": 697548, "pypiWeekly": 8902370, "asOf": "2026-11-06" }, "docsUrl": "https://strandsagents.com/docs", "llmsTxt": "https://strandsagents.com/llms.txt", "capabilities": [ "agent.framework", "agent.mcp-client", "agent.multi-agent", "agent.durable" ], "tags": [ "framework", "python", "typescript", "open-source", "llms-txt", "mcp", "otel", "a2a", "aws" ], "lastRelease": "2026-11-04", "graded": true, "anchor": { "graded": true, "score": 80, "grade": "A", "agentReady": true, "rank": 15, "ranked": true, "rankOf": 1510, "categoryRank": 4, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 87, "maintenance": 87, "payments": 60, "reliability": 87, "schema": 95, "security": 89, "transparency": 72 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-06" }, "negative": -4, "negativeNotes": [ "2026-10-23 and 2026-10-27. Three GitHub advisories for strands-agents. GHSA-4v6f-7vjh-6x4m (high) says the A2A server shared conversation history across callers with different context IDs, fixed in Python 1.43.0 and TypeScript 1.5.0. GHSA-3w55-933p-8pv5 (high) and GHSA-763v-5pjm-fx36 (moderate) say the default FileSessionManager stored sessions in a world-readable /tmp path that followed symlinks, fixed in 1.48.0. All published with fixes and credited, so 4 points. https://github.com/strands-agents/harness-sdk/security/advisories/GHSA-3w55-933p-8pv5" ], "verdict": "An Apache-2.0 agent SDK for Python and TypeScript with a managed MCP client, multi-agent patterns, interrupts and Cedar policies for approval, opt-in OpenTelemetry and no usage analytics. Bedrock is the default model, the default sandbox is the local host, and three session-isolation advisories were fixed in October 2026.", "bestFor": "Python or TypeScript teams, especially on AWS, who want a model-driven loop with MCP, multi-agent patterns and approval gates.", "strengths": [ "No usage analytics found, with OpenTelemetry tracing opt-in", "Interrupts and interventions pause tool calls for human approval or a Cedar policy", "MCP servers passed straight to the agent, with lifecycle handled", "Python and TypeScript SDKs released weekly, 1.0 since July 2025, under a written versioning policy", "llms.txt with a Markdown twin of every docs page" ], "weaknesses": [ "Three advisories in October 2026 on A2A session sharing and world-readable default session files, fixed in 1.43.0 and 1.48.0", "The default sandbox for shell and file tools is the local host", "Bedrock is the default provider, so a bare agent needs AWS credentials and model access", "Experimental modules and fast-moving standards (MCP, A2A, OTel conventions) sit outside the semantic versioning guarantee" ], "agentNotes": [ "Upgrade to strands-agents 1.48.0 or later, and set a private session directory rather than the /tmp default", "Pass a model explicitly when AWS credentials aren't configured, since Bedrock is the default", "Use interrupts or the harness's `interventions` for tools that write, send or pay", "Run shell and file tools in the Docker or SSH sandbox when the agent runs untrusted code", "Pin a minor version when using A2A, MCP or experimental modules" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "A", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 80 } ], "editorialScores": { "ergonomics": 87, "maintenance": 87, "payments": 60, "reliability": 87, "schema": 95, "security": 89, "transparency": 86 }, "provenanceScore": 58, "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 strands-agents strands-agents-tools # TypeScript: npm i @strands-agents/sdk" }, "letme": { "capability": "https://letme.dev/agent.framework", "tool": "https://letme.dev/strands-agents" }, "sameCompany": [ "strands-decider" ], "area": "frameworks", "provenance": { "legalEntity": "Amazon Web Services, Inc.", "domain": "strandsagents.com", "domainRegistered": "", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "https://github.com/strands-agents/harness-sdk/releases", "securityTxt": "none", "checked": "2026-11-06", "notes": [ "The licence file and NOTICE attribute the project to Amazon.com, Inc. or its affiliates; SECURITY.md sends reports to the AWS Vulnerability Disclosure Program on HackerOne.", "strandsagents.com/robots.txt allows all crawlers with Content-Signal ai-train=no, search=yes, ai-input=yes.", "strandsagents.com/.well-known/security.txt returns 404." ], "score": 58 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/strands-agents.json", "live": { "slug": "strands-agents", "versions": [ { "registry": "github", "name": "strands-agents/harness-sdk", "version": "typescript/v1.24.0", "released": "2026-11-04", "seenAt": "2026-11-07T00:08:42.12303393Z" }, { "registry": "npm", "name": "@strands-agents/sdk", "version": "1.24.0", "seenAt": "2026-11-07T00:08:40.21989722Z" }, { "registry": "pypi", "name": "strands-agents", "version": "1.64.0", "released": "2026-11-04", "seenAt": "2026-11-07T00:08:40.035164104Z" }, { "registry": "pypi", "name": "strands-agents-tools", "version": "0.9.0", "released": "2026-11-04", "seenAt": "2026-11-07T00:08:41.063215915Z" } ], "githubStars": 9066, "npmWeekly": 697548, "pypiWeekly": 8902370, "securityTxt": { "url": "https://strandsagents.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-07T16:00:32.408705195Z" }, "llmsTxt": { "url": "https://strandsagents.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-07T15:34:02.911668247Z" }, "updatedAt": "2026-11-07T16:00:32.408705195Z" } }, "edges": [ { "by": 29, "category": "security", "leads": "strands-agents", "name": "Security \u0026 auth", "reasons": { "a": "The library sends nothing according to the data-storage page, re-read on 1 November. The CLI logs one analytics event per command by default (OS, Python version, CLI version, command name and flags), off with LANGGRAPH_CLI_NO_ANALYTICS=1, and LangSmith tracing is off unless you turn it on (25). Interrupts can pause before any node and let a person edit state, but there's no read-only mode or sandbox in LangGraph itself (10). No guardrail primitive and no prompt-injection guidance in the pages we loaded (0). LangSmith tracing, opt-in (10). LangChain's organisation SECURITY.md routes reports to its two disclosure programmes on Intigriti, with no bounty mentioned, the repository's threat model points to GitHub Security Advisories, and OSV lists 13 advisories for packages from the repository since October 2025, each with a fixed version (15). Framework reading, so SOC 2 isn't scored.", "b": "Framework reading (telemetry defaults, approvals, guardrails, sandboxing). No usage analytics found in either SDK, and OpenTelemetry is opt-in (25). Interrupts and the harness's interventions gate tool calls behind human approval or Cedar policies, but the default sandbox is the local host (16). Guardrails, PII redaction and trusted message history pages, with Bedrock Guardrails integration (13). OpenTelemetry traces for every model and tool call (15). The AWS Vulnerability Disclosure Program on HackerOne and three advisories in October 2026 published with fixed versions (20). 25+16+13+15+20 = 89." }, "scores": { "a": 60, "b": 89 } }, { "by": 17, "category": "ergonomics", "leads": "strands-agents", "name": "Agent ergonomics", "reasons": { "a": "No MCP client in LangGraph. It comes from LangChain's langchain.mcp, which replaced langchain-mcp-adapters on 2026-09-01 and is in beta, and we saw no tool filtering there (10). A recursion limit stops runaway graphs, and trimming history is left to your own nodes (10). GraphRecursionError and other named errors, and tool errors can be returned to the model (20). Per-node retry policies and checkpointed resume (20). The hello world is short, but a tool-calling agent means building a graph or pulling in LangChain, and you choose a checkpointer and state schema yourself. Python and TypeScript (10).", "b": "Framework reading. An MCPClient is passed straight to the agent in a few lines and its lifecycle is managed, with tool filtering per client (22). Conversation managers, turn limits, token budgets and cancellation bound each run (20). Stop reasons and typed events, and hooks that can retry a model or tool call (16). Retry strategies, session managers that persist and resume a conversation, and interrupts that resume where they paused (17). Two official languages, but the default provider is Bedrock, which needs AWS credentials and model access (12). 22+20+16+17+12 = 87." }, "scores": { "a": 70, "b": 87 } }, { "by": 12, "category": "reliability", "leads": "strands-agents", "name": "Reliability", "reasons": { "a": "Official packages on PyPI (Requires-Python \u003e=3.10 in the pyproject at 1.2.19) and npm (node \u003e=18, per the 1 October check) (20). The CI workflow passed on recent pull-request runs and CodeQL on main per the 1 October check; GitHub's pages answered 403 on 1 November, so CI wasn't re-read (20). 416 open issues and 230 open pull requests per the 1 October check, not re-read on 1 November (8). Seven 1.2.x patch releases since 1.2.12 with conventional commit messages, but 1.2.18 (26 October) carries a commit marked breaking (`feat(langgraph)!`, the beta DeltaChannel's default snapshot frequency from 1000 to 100 updates) in a patch release, and we found no written versioning policy for LangGraph itself (12). 1.2.19, classed 5 - Production/Stable (15).", "b": "Local-package reading. Official PyPI and npm packages with Python 3.10 and Node 22 stated (20). A public CI workflow runs lint, type checks, unit and integration tests for each package on pull requests to main, plus security-audit workflows, and the latest Python, TypeScript, harness and MCP runs on main passed on 6 November (25). 664 open issues and 1,151 open issues and pull requests on 6 November, with 545 issues opened in the 90 days to 3 November. Of the 50 newest, 12 had a comment and 15 were closed, and 9 of the 40 newest open items carry a bug label. An issue-responder workflow runs on new issues (12). A written semantic versioning policy, experimental APIs kept apart, and deprecations removed only at a major (15). 1.0 since 15 July 2025 (15). 20+25+12+15+15 = 87." }, "scores": { "a": 75, "b": 87 } }, { "by": 9, "category": "transparency", "leads": "langgraph", "name": "Transparency \u0026 trust", "reasons": { "a": "MIT (30). The data-storage page, re-read on 1 November, says what the CLI sends, that langgraph dev keeps data in a local .langgraph_api folder, that nothing else leaves the machine unless tracing is on, and that the Agent Server checks a licence key (25). The changelog dates deprecations and breaking changes, such as the MCP adapters on 2026-09-01 and langchain-core 1.7.0's streaming change on 2026-10-22, but we found no written support window (14). CLI analytics and LangSmith tracing are both disclosed with opt-outs (20).", "b": "Apache-2.0 (30). A library that stores session state where the developer configures it. The default FileSessionManager kept sessions world-readable in /tmp until 1.48.0, which the October advisories record and fix (20). A written deprecation policy with warnings and removal at majors, without a dated support window (16). Telemetry is opt-in and documented (20). 30+20+16+20 = 86." }, "scores": { "a": 81, "b": 72 } }, { "by": 6, "category": "schema", "leads": "strands-agents", "name": "Schema \u0026 documentation", "reasons": { "a": "A typed graph API with a reference site (25). llms.txt at docs.langchain.com, per the listing's earlier check (10). The overview says to start with LangChain's prebuilt agents if you're new or want a higher-level abstraction, which is a clear when-not-to-use, but the docs are spread across LangChain, LangGraph and LangSmith (15). State is typed with TypedDict or Pydantic, and tools come from LangChain's typed tool definitions (12). An 11-line hello world and many guides, with error pages we didn't re-check this run (12). Dated changelog (15).", "b": "Framework reading. Typed Python and TypeScript APIs with a reference for each (25). llms.txt with a Markdown twin of every page (10). The llms.txt and docs say when to use Strands over a hand-written loop and when to take the harness rather than the SDK (18). Tools are typed from decorated functions or Zod schemas (15). Python and TypeScript examples on every page, stop reasons and hook events documented, with no catalogue of exceptions (12). Versioning page and tagged releases per package (15). 25+10+18+15+12+15 = 95." }, "scores": { "a": 89, "b": 95 } } ], "facts": [ { "a": "Agent framework", "b": "Agent framework", "name": "Kind" }, { "a": "LangChain", "b": "Amazon Web Services", "name": "Vendor" }, { "a": "no (local only)", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "", "b": "", "name": "Transports" }, { "a": "None", "b": "None", "name": "Auth" }, { "a": "Free", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "MIT", "b": "Apache-2.0", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-30", "b": "2026-11-04", "name": "Last release" }, { "a": "no document linked", "b": "no document linked", "name": "Terms last updated" }, { "a": "no document linked", "b": "no document linked", "name": "Privacy policy last updated" }, { "a": "42k stars, 2.3M npm/wk, 10.4M PyPI/wk", "b": "9.1k stars, 698k npm/wk, 8.9M PyPI/wk", "name": "Popularity" }, { "a": "3.5/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Strands Agents scores 80 (A) on agent readiness against LangGraph's 69.8 (B), and leads in 4 of 7 scored categories. LangGraph leads on transparency \u0026 trust.", "question": "Which is better for AI agents, LangGraph or Strands Agents?" }, { "answer": "Yes. LangGraph is open source (MIT). Strands Agents is open source (Apache-2.0).", "question": "Are LangGraph and Strands Agents open source?" } ], "goodFor": [ { "aheadOn": [ "Transparency \u0026 trust, 81 against 72" ], "also": null, "goodFor": "Long-running, stateful agents that pause for people and must survive restarts.", "slug": "langgraph", "watchFor": "No MCP client of its own. LangChain's langchain.mcp is in beta" }, { "aheadOn": [ "Reliability, 87 against 75", "Schema \u0026 documentation, 95 against 89", "Agent ergonomics, 87 against 70", "Security \u0026 auth, 89 against 60" ], "also": [ "Agent-ready, a grade of BB or better" ], "goodFor": "Python or TypeScript teams, especially on AWS, who want a model-driven loop with MCP, multi-agent patterns and approval gates.", "slug": "strands-agents", "watchFor": "Three advisories in October 2026 on A2A session sharing and world-readable default session files, fixed in 1.43.0 and 1.48.0" } ], "history": { "langgraph": [ { "causes": [ "event" ], "date": "2026-11-01", "delta": -1, "from": 70.8, "fromGrade": "BB", "to": 69.8, "toGrade": "B" }, { "causes": [ "method" ], "date": "2026-10-27", "delta": 0.2, "from": 70.6, "fromGrade": "BB", "to": 70.8, "toGrade": "BB" } ], "strands-agents": null }, "job": { "capability": "agent.framework", "name": "Agent frameworks" }, "others": [ { "json": "https://www.anchorterminal.com/compare/agentos-vs-langgraph.json", "title": "AgentOS vs LangGraph", "url": "https://www.anchorterminal.com/compare/agentos-vs-langgraph" }, { "json": "https://www.anchorterminal.com/compare/agentos-vs-strands-agents.json", "title": "AgentOS vs Strands Agents", "url": "https://www.anchorterminal.com/compare/agentos-vs-strands-agents" }, { "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-strands-agents.json", "title": "Agno vs Strands Agents", "url": "https://www.anchorterminal.com/compare/agno-vs-strands-agents" }, { "json": "https://www.anchorterminal.com/compare/boxlang-ai-vs-langgraph.json", "title": "BoxLang AI vs LangGraph", "url": "https://www.anchorterminal.com/compare/boxlang-ai-vs-langgraph" }, { "json": "https://www.anchorterminal.com/compare/boxlang-ai-vs-strands-agents.json", "title": "BoxLang AI vs Strands Agents", "url": "https://www.anchorterminal.com/compare/boxlang-ai-vs-strands-agents" }, { "json": "https://www.anchorterminal.com/compare/claude-agent-sdk-vs-langgraph.json", "title": "Claude Agent SDK vs LangGraph", "url": "https://www.anchorterminal.com/compare/claude-agent-sdk-vs-langgraph" }, { "json": "https://www.anchorterminal.com/compare/claude-agent-sdk-vs-strands-agents.json", "title": "Claude Agent SDK vs Strands Agents", "url": "https://www.anchorterminal.com/compare/claude-agent-sdk-vs-strands-agents" }, { "json": "https://www.anchorterminal.com/compare/crewai-vs-langgraph.json", "title": "CrewAI vs LangGraph", "url": "https://www.anchorterminal.com/compare/crewai-vs-langgraph" }, { "json": "https://www.anchorterminal.com/compare/crewai-vs-strands-agents.json", "title": "CrewAI vs Strands Agents", "url": "https://www.anchorterminal.com/compare/crewai-vs-strands-agents" }, { "json": "https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-langgraph.json", "title": "Cursor Agent SDK vs LangGraph", "url": "https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-langgraph" }, { "json": "https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-strands-agents.json", "title": "Cursor Agent SDK vs Strands Agents", "url": "https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-strands-agents" }, { "json": "https://www.anchorterminal.com/compare/docker-agent-vs-langgraph.json", "title": "Docker Agent vs LangGraph", "url": "https://www.anchorterminal.com/compare/docker-agent-vs-langgraph" }, { "json": "https://www.anchorterminal.com/compare/docker-agent-vs-strands-agents.json", "title": "Docker Agent vs Strands Agents", "url": "https://www.anchorterminal.com/compare/docker-agent-vs-strands-agents" }, { "json": "https://www.anchorterminal.com/compare/google-adk-vs-langgraph.json", "title": "Agent Development Kit (ADK) vs LangGraph", "url": "https://www.anchorterminal.com/compare/google-adk-vs-langgraph" }, { "json": "https://www.anchorterminal.com/compare/google-adk-vs-strands-agents.json", "title": "Agent Development Kit (ADK) vs Strands Agents", "url": "https://www.anchorterminal.com/compare/google-adk-vs-strands-agents" }, { "json": "https://www.anchorterminal.com/compare/guilds-run-vs-langgraph.json", "title": "guilds.run vs LangGraph", "url": "https://www.anchorterminal.com/compare/guilds-run-vs-langgraph" }, { "json": "https://www.anchorterminal.com/compare/guilds-run-vs-strands-agents.json", "title": "guilds.run vs Strands Agents", "url": "https://www.anchorterminal.com/compare/guilds-run-vs-strands-agents" }, { "json": "https://www.anchorterminal.com/compare/langgraph-vs-llamaindex.json", "title": "LangGraph vs LlamaIndex Framework", "url": "https://www.anchorterminal.com/compare/langgraph-vs-llamaindex" }, { "json": "https://www.anchorterminal.com/compare/langgraph-vs-mastra.json", "title": "LangGraph vs Mastra", "url": "https://www.anchorterminal.com/compare/langgraph-vs-mastra" }, { "json": "https://www.anchorterminal.com/compare/langgraph-vs-microsoft-agent-framework.json", "title": "LangGraph vs Microsoft Agent Framework", "url": "https://www.anchorterminal.com/compare/langgraph-vs-microsoft-agent-framework" }, { "json": "https://www.anchorterminal.com/compare/langgraph-vs-openai-agents-sdk.json", "title": "LangGraph vs OpenAI Agents SDK", "url": "https://www.anchorterminal.com/compare/langgraph-vs-openai-agents-sdk" }, { "json": "https://www.anchorterminal.com/compare/langgraph-vs-pydantic-ai.json", "title": "LangGraph vs Pydantic AI", "url": "https://www.anchorterminal.com/compare/langgraph-vs-pydantic-ai" }, { "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/langgraph-vs-vercel-ai-sdk.json", "title": "LangGraph vs AI SDK", "url": "https://www.anchorterminal.com/compare/langgraph-vs-vercel-ai-sdk" }, { "json": "https://www.anchorterminal.com/compare/llamaindex-vs-strands-agents.json", "title": "LlamaIndex Framework vs Strands Agents", "url": "https://www.anchorterminal.com/compare/llamaindex-vs-strands-agents" }, { "json": "https://www.anchorterminal.com/compare/mastra-vs-strands-agents.json", "title": "Mastra vs Strands Agents", "url": "https://www.anchorterminal.com/compare/mastra-vs-strands-agents" }, { "json": "https://www.anchorterminal.com/compare/microsoft-agent-framework-vs-strands-agents.json", "title": "Microsoft Agent Framework vs Strands Agents", "url": "https://www.anchorterminal.com/compare/microsoft-agent-framework-vs-strands-agents" }, { "json": "https://www.anchorterminal.com/compare/openai-agents-sdk-vs-strands-agents.json", "title": "OpenAI Agents SDK vs Strands Agents", "url": "https://www.anchorterminal.com/compare/openai-agents-sdk-vs-strands-agents" }, { "json": "https://www.anchorterminal.com/compare/pydantic-ai-vs-strands-agents.json", "title": "Pydantic AI vs Strands Agents", "url": "https://www.anchorterminal.com/compare/pydantic-ai-vs-strands-agents" }, { "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/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/strands-agents-vs-vercel-ai-sdk.json", "title": "Strands Agents vs AI SDK", "url": "https://www.anchorterminal.com/compare/strands-agents-vs-vercel-ai-sdk" } ], "panel": null, "scores": [ { "by": 12, "edge": "strands-agents", "key": "reliability", "langgraph": 75, "name": "Reliability", "strands-agents": 87, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 6, "edge": "strands-agents", "key": "schema", "langgraph": 89, "name": "Schema \u0026 documentation", "strands-agents": 95, "weight": 13 }, { "by": 17, "edge": "strands-agents", "key": "ergonomics", "langgraph": 70, "name": "Agent ergonomics", "strands-agents": 87, "weight": 13 }, { "by": 29, "edge": "strands-agents", "key": "security", "langgraph": 60, "name": "Security \u0026 auth", "strands-agents": 89, "weight": 14 }, { "by": 0, "edge": "", "key": "payments", "langgraph": 60, "name": "Payments \u0026 pricing", "strands-agents": 60, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 3, "edge": "langgraph", "key": "maintenance", "langgraph": 90, "name": "Maintenance \u0026 community", "strands-agents": 87, "weight": 7 }, { "by": 9, "edge": "langgraph", "key": "transparency", "langgraph": 81, "name": "Transparency \u0026 trust", "strands-agents": 72, "weight": 7 } ], "summary": "Strands Agents scores 80 (A) on agent readiness against LangGraph's 69.8 (B), and leads in 4 of 7 scored categories. LangGraph leads on transparency \u0026 trust. Both do agent frameworks.", "tasks": null, "tutorials": [], "verdicts": { "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.", "strands-agents": "An Apache-2.0 agent SDK for Python and TypeScript with a managed MCP client, multi-agent patterns, interrupts and Cedar policies for approval, opt-in OpenTelemetry and no usage analytics. Bedrock is the default model, the default sandbox is the local host, and three session-isolation advisories were fixed in October 2026." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/langgraph-vs-strands-agents", "json": "https://www.anchorterminal.com/compare/langgraph-vs-strands-agents.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/langgraph-vs-strands-agents.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/langgraph-vs-strands-agents.min.md" }, "markdown": "Strands Agents scores 80 (A) on agent readiness against LangGraph's 69.8 (B), and leads in 4 of 7 scored categories. LangGraph leads on transparency \u0026 trust. Both do agent frameworks.\n\n- LangGraph: grade B, 69.8/100, rank #227 of 1510. Markdown https://www.anchorterminal.com/tools/langgraph.md · JSON https://www.anchorterminal.com/api/v1/tools/langgraph.json\n- Strands Agents: grade A, 80/100, rank #15 of 1510. Markdown https://www.anchorterminal.com/tools/strands-agents.md · JSON https://www.anchorterminal.com/api/v1/tools/strands-agents.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### LangGraph (B)\n\nGood for: Long-running, stateful agents that pause for people and must survive restarts.\n\nAhead on:\n- Transparency \u0026 trust, 81 against 72\n\nWatch for: No MCP client of its own. LangChain's langchain.mcp is in beta\n\n### Strands Agents (A)\n\nGood for: Python or TypeScript teams, especially on AWS, who want a model-driven loop with MCP, multi-agent patterns and approval gates.\n\nAhead on:\n- Reliability, 87 against 75\n- Schema \u0026 documentation, 95 against 89\n- Agent ergonomics, 87 against 70\n- Security \u0026 auth, 89 against 60\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n\nWatch for: Three advisories in October 2026 on A2A session sharing and world-readable default session files, fixed in 1.43.0 and 1.48.0\n\n\n## Why the edge\n\n### Security \u0026 auth: Strands Agents +29\n\n- LangGraph (60): The library sends nothing according to the data-storage page, re-read on 1 November. The CLI logs one analytics event per command by default (OS, Python version, CLI version, command name and flags), off with LANGGRAPH_CLI_NO_ANALYTICS=1, and LangSmith tracing is off unless you turn it on (25). Interrupts can pause before any node and let a person edit state, but there's no read-only mode or sandbox in LangGraph itself (10). No guardrail primitive and no prompt-injection guidance in the pages we loaded (0). LangSmith tracing, opt-in (10). LangChain's organisation SECURITY.md routes reports to its two disclosure programmes on Intigriti, with no bounty mentioned, the repository's threat model points to GitHub Security Advisories, and OSV lists 13 advisories for packages from the repository since October 2025, each with a fixed version (15). Framework reading, so SOC 2 isn't scored.\n- Strands Agents (89): Framework reading (telemetry defaults, approvals, guardrails, sandboxing). No usage analytics found in either SDK, and OpenTelemetry is opt-in (25). Interrupts and the harness's interventions gate tool calls behind human approval or Cedar policies, but the default sandbox is the local host (16). Guardrails, PII redaction and trusted message history pages, with Bedrock Guardrails integration (13). OpenTelemetry traces for every model and tool call (15). The AWS Vulnerability Disclosure Program on HackerOne and three advisories in October 2026 published with fixed versions (20). 25+16+13+15+20 = 89.\n\n### Agent ergonomics: Strands Agents +17\n\n- LangGraph (70): No MCP client in LangGraph. It comes from LangChain's langchain.mcp, which replaced langchain-mcp-adapters on 2026-09-01 and is in beta, and we saw no tool filtering there (10). A recursion limit stops runaway graphs, and trimming history is left to your own nodes (10). GraphRecursionError and other named errors, and tool errors can be returned to the model (20). Per-node retry policies and checkpointed resume (20). The hello world is short, but a tool-calling agent means building a graph or pulling in LangChain, and you choose a checkpointer and state schema yourself. Python and TypeScript (10).\n- Strands Agents (87): Framework reading. An MCPClient is passed straight to the agent in a few lines and its lifecycle is managed, with tool filtering per client (22). Conversation managers, turn limits, token budgets and cancellation bound each run (20). Stop reasons and typed events, and hooks that can retry a model or tool call (16). Retry strategies, session managers that persist and resume a conversation, and interrupts that resume where they paused (17). Two official languages, but the default provider is Bedrock, which needs AWS credentials and model access (12). 22+20+16+17+12 = 87.\n\n### Reliability: Strands Agents +12\n\n- LangGraph (75): Official packages on PyPI (Requires-Python \u003e=3.10 in the pyproject at 1.2.19) and npm (node \u003e=18, per the 1 October check) (20). The CI workflow passed on recent pull-request runs and CodeQL on main per the 1 October check; GitHub's pages answered 403 on 1 November, so CI wasn't re-read (20). 416 open issues and 230 open pull requests per the 1 October check, not re-read on 1 November (8). Seven 1.2.x patch releases since 1.2.12 with conventional commit messages, but 1.2.18 (26 October) carries a commit marked breaking (`feat(langgraph)!`, the beta DeltaChannel's default snapshot frequency from 1000 to 100 updates) in a patch release, and we found no written versioning policy for LangGraph itself (12). 1.2.19, classed 5 - Production/Stable (15).\n- Strands Agents (87): Local-package reading. Official PyPI and npm packages with Python 3.10 and Node 22 stated (20). A public CI workflow runs lint, type checks, unit and integration tests for each package on pull requests to main, plus security-audit workflows, and the latest Python, TypeScript, harness and MCP runs on main passed on 6 November (25). 664 open issues and 1,151 open issues and pull requests on 6 November, with 545 issues opened in the 90 days to 3 November. Of the 50 newest, 12 had a comment and 15 were closed, and 9 of the 40 newest open items carry a bug label. An issue-responder workflow runs on new issues (12). A written semantic versioning policy, experimental APIs kept apart, and deprecations removed only at a major (15). 1.0 since 15 July 2025 (15). 20+25+12+15+15 = 87.\n\n### Transparency \u0026 trust: LangGraph +9\n\n- LangGraph (81): MIT (30). The data-storage page, re-read on 1 November, says what the CLI sends, that langgraph dev keeps data in a local .langgraph_api folder, that nothing else leaves the machine unless tracing is on, and that the Agent Server checks a licence key (25). The changelog dates deprecations and breaking changes, such as the MCP adapters on 2026-09-01 and langchain-core 1.7.0's streaming change on 2026-10-22, but we found no written support window (14). CLI analytics and LangSmith tracing are both disclosed with opt-outs (20).\n- Strands Agents (72): Apache-2.0 (30). A library that stores session state where the developer configures it. The default FileSessionManager kept sessions world-readable in /tmp until 1.48.0, which the October advisories record and fix (20). A written deprecation policy with warnings and removal at majors, without a dated support window (16). Telemetry is opt-in and documented (20). 30+20+16+20 = 86.\n\n### Schema \u0026 documentation: Strands Agents +6\n\n- LangGraph (89): A typed graph API with a reference site (25). llms.txt at docs.langchain.com, per the listing's earlier check (10). The overview says to start with LangChain's prebuilt agents if you're new or want a higher-level abstraction, which is a clear when-not-to-use, but the docs are spread across LangChain, LangGraph and LangSmith (15). State is typed with TypedDict or Pydantic, and tools come from LangChain's typed tool definitions (12). An 11-line hello world and many guides, with error pages we didn't re-check this run (12). Dated changelog (15).\n- Strands Agents (95): Framework reading. Typed Python and TypeScript APIs with a reference for each (25). llms.txt with a Markdown twin of every page (10). The llms.txt and docs say when to use Strands over a hand-written loop and when to take the harness rather than the SDK (18). Tools are typed from decorated functions or Zod schemas (15). Python and TypeScript examples on every page, stop reasons and hook events documented, with no catalogue of exceptions (12). Versioning page and tagged releases per package (15). 25+10+18+15+12+15 = 95.\n\n## Score by category\n\n| Category | Weight | LangGraph | Strands Agents | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 75 | 87 | Strands Agents +12 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 89 | 95 | Strands Agents +6 |\n| Agent ergonomics | 13% (16.2 this run) | 70 | 87 | Strands Agents +17 |\n| Security \u0026 auth | 14% (17.5 this run) | 60 | 89 | Strands Agents +29 |\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 | 87 | LangGraph +3 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 81 | 72 | LangGraph +9 |\n| Negative events | ≤15 | -4 | -4 | |\n| **Total** | | **69.8 · B** | **80 · A** | |\n\n## Facts side by side\n\n| Fact | LangGraph | Strands Agents |\n| --- | --- | --- |\n| Kind | Agent framework | Agent framework |\n| Vendor | LangChain | Amazon Web Services |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | | |\n| Auth | None | None |\n| Pricing | Free | Free |\n| x402 | no | no |\n| Licence | MIT | Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-30 | 2026-11-04 |\n| Terms last updated | no document linked | no document linked |\n| Privacy policy last updated | no document linked | no document linked |\n| Popularity | 42k stars, 2.3M npm/wk, 10.4M PyPI/wk | 9.1k stars, 698k npm/wk, 8.9M PyPI/wk |\n| Agent reviews | 3.5/5 (2) | none |\n\n## How the scores have moved\n\n### LangGraph\n\n- -1.0 on 1 November 2026 (BB to B): negative event\n- +0.2 on 27 October 2026: checklist\n\n### Strands Agents\n\nNo score change since it was listed.\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**Strands Agents.** An Apache-2.0 agent SDK for Python and TypeScript with a managed MCP client, multi-agent patterns, interrupts and Cedar policies for approval, opt-in OpenTelemetry and no usage analytics. Bedrock is the default model, the default sandbox is the local host, and three session-isolation advisories were fixed in October 2026.\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 langgraph-checkpoint, the SQLite checkpointer and langgraph-sdk current. The SDK's custom-auth decorators ignored actions before 0.4.4 (October 2026)\n\n### Strands Agents\n\n1. Upgrade to strands-agents 1.48.0 or later, and set a private session directory rather than the /tmp default\n2. Pass a model explicitly when AWS credentials aren't configured, since Bedrock is the default\n3. Use interrupts or the harness's `interventions` for tools that write, send or pay\n4. Run shell and file tools in the Docker or SSH sandbox when the agent runs untrusted code\n5. Pin a minor version when using A2A, MCP or experimental modules\n\n## Questions\n\n### Which is better for AI agents, LangGraph or Strands Agents?\n\nStrands Agents scores 80 (A) on agent readiness against LangGraph's 69.8 (B), and leads in 4 of 7 scored categories. LangGraph leads on transparency \u0026 trust.\n\n### Are LangGraph and Strands Agents open source?\n\nYes. LangGraph is open source (MIT). Strands Agents is open source (Apache-2.0).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/langgraph-vs-strands-agents.json, and with the fewest tokens: https://www.anchorterminal.com/compare/langgraph-vs-strands-agents.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"langgraph\", \"b\": \"strands-agents\"}`. From a terminal: `anchor compare langgraph strands-agents`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/langgraph.json and https://www.anchorterminal.com/api/v1/tools/strands-agents.json\n\n## Other comparisons with LangGraph or Strands Agents\n\n- [AgentOS vs LangGraph](https://www.anchorterminal.com/compare/agentos-vs-langgraph.md)\n- [AgentOS vs Strands Agents](https://www.anchorterminal.com/compare/agentos-vs-strands-agents.md)\n- [Agno vs LangGraph](https://www.anchorterminal.com/compare/agno-vs-langgraph.md)\n- [Agno vs Strands Agents](https://www.anchorterminal.com/compare/agno-vs-strands-agents.md)\n- [BoxLang AI vs LangGraph](https://www.anchorterminal.com/compare/boxlang-ai-vs-langgraph.md)\n- [BoxLang AI vs Strands Agents](https://www.anchorterminal.com/compare/boxlang-ai-vs-strands-agents.md)\n- [Claude Agent SDK vs LangGraph](https://www.anchorterminal.com/compare/claude-agent-sdk-vs-langgraph.md)\n- [Claude Agent SDK vs Strands Agents](https://www.anchorterminal.com/compare/claude-agent-sdk-vs-strands-agents.md)\n- [CrewAI vs LangGraph](https://www.anchorterminal.com/compare/crewai-vs-langgraph.md)\n- [CrewAI vs Strands Agents](https://www.anchorterminal.com/compare/crewai-vs-strands-agents.md)\n- [Cursor Agent SDK vs LangGraph](https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-langgraph.md)\n- [Cursor Agent SDK vs Strands Agents](https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-strands-agents.md)\n- [Docker Agent vs LangGraph](https://www.anchorterminal.com/compare/docker-agent-vs-langgraph.md)\n- [Docker Agent vs Strands Agents](https://www.anchorterminal.com/compare/docker-agent-vs-strands-agents.md)\n- [Agent Development Kit (ADK) vs LangGraph](https://www.anchorterminal.com/compare/google-adk-vs-langgraph.md)\n- [Agent Development Kit (ADK) vs Strands Agents](https://www.anchorterminal.com/compare/google-adk-vs-strands-agents.md)\n- [guilds.run vs LangGraph](https://www.anchorterminal.com/compare/guilds-run-vs-langgraph.md)\n- [guilds.run vs Strands Agents](https://www.anchorterminal.com/compare/guilds-run-vs-strands-agents.md)\n- [LangGraph vs LlamaIndex Framework](https://www.anchorterminal.com/compare/langgraph-vs-llamaindex.md)\n- [LangGraph vs Mastra](https://www.anchorterminal.com/compare/langgraph-vs-mastra.md)\n- [LangGraph vs Microsoft Agent Framework](https://www.anchorterminal.com/compare/langgraph-vs-microsoft-agent-framework.md)\n- [LangGraph vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/langgraph-vs-openai-agents-sdk.md)\n- [LangGraph vs Pydantic AI](https://www.anchorterminal.com/compare/langgraph-vs-pydantic-ai.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- [LangGraph vs AI SDK](https://www.anchorterminal.com/compare/langgraph-vs-vercel-ai-sdk.md)\n- [LlamaIndex Framework vs Strands Agents](https://www.anchorterminal.com/compare/llamaindex-vs-strands-agents.md)\n- [Mastra vs Strands Agents](https://www.anchorterminal.com/compare/mastra-vs-strands-agents.md)\n- [Microsoft Agent Framework vs Strands Agents](https://www.anchorterminal.com/compare/microsoft-agent-framework-vs-strands-agents.md)\n- [OpenAI Agents SDK vs Strands Agents](https://www.anchorterminal.com/compare/openai-agents-sdk-vs-strands-agents.md)\n- [Pydantic AI vs Strands Agents](https://www.anchorterminal.com/compare/pydantic-ai-vs-strands-agents.md)\n- [smolagents vs Strands Agents](https://www.anchorterminal.com/compare/smolagents-vs-strands-agents.md)\n- [Strands Agents vs TradingAgents](https://www.anchorterminal.com/compare/strands-agents-vs-tradingagents.md)\n- [Strands Agents vs AI SDK](https://www.anchorterminal.com/compare/strands-agents-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": "LangGraph vs Strands Agents", "url": "" } ], "description": "Strands Agents scores 80 (A) to LangGraph's 69.8 (B) for agent frameworks. 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