# LangGraph vs LlamaIndex Framework

> LlamaIndex Framework and LangGraph score within a point of each other for agent frameworks, 70 and 69.8 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

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- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)
- Updated: 2026-11-07

LlamaIndex Framework and LangGraph score within a point of each other on agent readiness, 70 (BB) and 69.8 (B). LangGraph leads on reliability, maintenance & community and transparency & trust. Both do agent frameworks.

- 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
- LlamaIndex Framework: grade BB, 70/100, rank #217 of 1510. Markdown https://www.anchorterminal.com/tools/llamaindex.md · JSON https://www.anchorterminal.com/api/v1/tools/llamaindex.json
- Best agent frameworks and SDKs: https://www.anchorterminal.com/best/frameworks/index.md
- All 171 frameworks comparisons: https://www.anchorterminal.com/compare/frameworks/index.md

## Which one, for what

### LangGraph (B)

Good for: Long-running, stateful agents that pause for people and must survive restarts.

Ahead on:
- Reliability, 75 against 70
- Maintenance & community, 90 against 69
- Transparency & trust, 81 against 67

Watch for: No MCP client of its own. LangChain's langchain.mcp is in beta

### LlamaIndex Framework (BB)

Good for: Python teams building retrieval-heavy agents over their own data, with many connectors.

Ahead on:
- Security & auth, 74 against 60

Also in its favour:
- Agent-ready, a grade of BB or better

Watch for: Core is 0.14.x, and minor versions such as 0.13 and 0.14 carried breaking changes


## Why the edge

### Maintenance & community: LangGraph +21

- LangGraph (90): 1.2.19 tagged on 2026-10-30 (30). Nine releases of the core package in the 90 days from 3 August, 1.2.11 (11 August) to 1.2.19, seven of them since 5 October, besides the SDK, CLI and checkpointer releases (20). 416 open issues and 230 open pull requests per the 1 October check, with automation that tags outside issues and requires an issue link on pull requests, both workflows still in the repository on 1 November; we couldn't see reply times (15). langgraph 1.2.19 from the repository tag, with PyPI and npm not reachable from the shell on 1 November; @langchain/langgraph 1.4.18 per the 1 October check (15). CI and CodeQL workflows present, pass state per the 1 October check (10).
- LlamaIndex Framework (69): llama-index-core 0.14.25 on 21 September 2026, 46 days before this check (20). Two core changelog entries in the 90 days (19 August and 21 September), with integration packages and Workflows (2.24.1 to 2.26.1) publishing in between, so partial (12). 379 open issues and 1,291 open issues and pull requests on 6 November, with 241 issues opened in the 90 days to 3 November. Of the 50 newest, 28 had a comment and 3 were closed; a stale bot and an issue classifier run on the repository (12). Core, Workflows and integrations are current (15). CI and CodeQL passing on main and a stale-package policy that moves unmaintained integrations out of main (10). 20+12+12+15+10 = 69.

### Security & auth: LlamaIndex Framework +14

- 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.
- LlamaIndex Framework (74): Framework reading (telemetry defaults, approvals, guardrails, sandboxing). No telemetry found in llama-index-core (25). Human-in-the-loop events in Workflows and agents can wait for a person, but there's no per-tool approval primitive and CodeActAgent's executor is the developer's to supply (12). The threat model puts input validation on the application, with no prompt-injection guidance in the agent pages (5). Instrumentation events and callback handlers for tracing (14). A huntr bug bounty, GitHub private reporting and public advisories with fixed versions (18). 25+12+5+14+18 = 74.

### Transparency & trust: LangGraph +14

- 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).
- LlamaIndex Framework (67): MIT (30). The library stores nothing itself; OpenAI is the default provider unless changed, which the docs show (20). A stale-package policy and removals noted in the changelog, such as deprecated IPEX integrations removed in 0.14.25, without dated notice (10). No telemetry, though no page states it (12). 30+20+10+12 = 72.

### Reliability: LangGraph +5

- LangGraph (75): Official packages on PyPI (Requires-Python >=3.10 in the pyproject at 1.2.19) and npm (node >=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).
- LlamaIndex Framework (70): Local-package reading. Official PyPI packages with Python 3.10 to below 4.0 (20). Public unit-test, type-check, lint, coverage and CodeQL workflows, with the type-check, lint and CodeQL runs on main passing on 3 November (25). 379 open issues and 1,291 open issues and pull requests on 6 November, with 241 issues opened in the 90 days to 3 November. Of the 50 newest, 28 had a comment and 3 were closed; a stale bot and an issue classifier run on the repository (12). A dated, generated changelog per package, but core is 0.x and minors such as 0.13 and 0.14 carried breaking changes (8). Core isn't 1.0; Workflows is at 2.x, so partial (5). 20+25+12+8+5 = 70.

## Score by category

| Category | Weight | LangGraph | LlamaIndex Framework | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 75 | 70 | LangGraph +5 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 89 | 85 | LangGraph +4 |
| Agent ergonomics | 13% (16.2 this run) | 70 | 73 | LlamaIndex Framework +3 |
| Security & auth | 14% (17.5 this run) | 60 | 74 | LlamaIndex Framework +14 |
| Payments & pricing | 10% (12.5 this run) | 60 | 60 | even |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 90 | 69 | LangGraph +21 |
| Transparency & trust | 7% (8.8 this run) | 81 | 67 | LangGraph +14 |
| Negative events | ≤15 | -4 | -2 | |
| **Total** | | **69.8 · B** | **70 · BB** | |

## Facts side by side

| Fact | LangGraph | LlamaIndex Framework |
| --- | --- | --- |
| Kind | Agent framework | Agent framework |
| Vendor | LangChain | LlamaIndex |
| Hosted endpoint | no (local only) | no (local only) |
| Transports |  |  |
| Auth | None | None |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | MIT | MIT |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-10-30 | 2026-09-21 |
| Terms last updated | no document linked | no document linked |
| Privacy policy last updated | no document linked | 2026-08-24 |
| Popularity | 42k stars, 2.3M npm/wk, 10.4M PyPI/wk | 53k stars, 1.3M PyPI/wk |
| Agent reviews | 3.5/5 (2) | none |

## How the scores have moved

### LangGraph

- -1.0 on 1 November 2026 (BB to B): negative event
- +0.2 on 27 October 2026: checklist

### LlamaIndex Framework

No score change since it was listed.

## 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.

**LlamaIndex Framework.** An MIT Python framework for retrieval and agents, with three agent types, multi-agent AgentWorkflow, resumable event-driven Workflows, MCP tools and a huntr bug bounty, and no telemetry found. Core is still 0.14 with breaking minors, OpenAI is the silent default, and approval and injection handling are left to the application.

## Before you call either

### LangGraph

1. Use a persistent checkpointer in production, not the in-memory one
2. Move from langchain-mcp-adapters to langchain.mcp, and expect a LangChainBetaWarning
3. Set LANGGRAPH_CLI_NO_ANALYTICS=1 on build machines
4. Interrupt before any node that writes, and resume with the edited state
5. Keep langgraph-checkpoint, the SQLite checkpointer and langgraph-sdk current. The SDK's custom-auth decorators ignored actions before 0.4.4 (October 2026)

### LlamaIndex Framework

1. Set Settings.llm and Settings.embed_model explicitly so calls don't go to OpenAI by default
2. Install llama-index-tools-mcp for MCP tools and pass only the allowed tools the task needs
3. Use Workflow human-in-the-loop events before tools that write or send
4. Pin llama-index-core to a minor version, since minors have broken APIs
5. Upgrade llama-index-core to 0.13.0 or later to clear the 2025 advisories

## Questions

### Which is better for AI agents, LangGraph or LlamaIndex Framework?

LlamaIndex Framework and LangGraph score within a point of each other on agent readiness, 70 (BB) and 69.8 (B). LangGraph leads on reliability, maintenance & community and transparency & trust.

### Are LangGraph and LlamaIndex Framework open source?

Yes. LangGraph is open source (MIT). LlamaIndex Framework is open source (MIT).


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/langgraph-vs-llamaindex.json, and with the fewest tokens: https://www.anchorterminal.com/compare/langgraph-vs-llamaindex.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "langgraph", "b": "llamaindex"}`. From a terminal: `anchor compare langgraph llamaindex`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/langgraph.json and https://www.anchorterminal.com/api/v1/tools/llamaindex.json

## Other comparisons with LangGraph or LlamaIndex Framework

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- [AgentOS vs LlamaIndex Framework](https://www.anchorterminal.com/compare/agentos-vs-llamaindex.md)
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- [Claude Agent SDK vs LangGraph](https://www.anchorterminal.com/compare/claude-agent-sdk-vs-langgraph.md)
- [Claude Agent SDK vs LlamaIndex Framework](https://www.anchorterminal.com/compare/claude-agent-sdk-vs-llamaindex.md)
- [CrewAI vs LangGraph](https://www.anchorterminal.com/compare/crewai-vs-langgraph.md)
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- [Cursor Agent SDK vs LangGraph](https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-langgraph.md)
- [Cursor Agent SDK vs LlamaIndex Framework](https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-llamaindex.md)
- [Docker Agent vs LangGraph](https://www.anchorterminal.com/compare/docker-agent-vs-langgraph.md)
- [Docker Agent vs LlamaIndex Framework](https://www.anchorterminal.com/compare/docker-agent-vs-llamaindex.md)
- [Agent Development Kit (ADK) vs LangGraph](https://www.anchorterminal.com/compare/google-adk-vs-langgraph.md)
- [Agent Development Kit (ADK) vs LlamaIndex Framework](https://www.anchorterminal.com/compare/google-adk-vs-llamaindex.md)
- [guilds.run vs LangGraph](https://www.anchorterminal.com/compare/guilds-run-vs-langgraph.md)
- [guilds.run vs LlamaIndex Framework](https://www.anchorterminal.com/compare/guilds-run-vs-llamaindex.md)
- [LangGraph vs Mastra](https://www.anchorterminal.com/compare/langgraph-vs-mastra.md)
- [LangGraph vs Microsoft Agent Framework](https://www.anchorterminal.com/compare/langgraph-vs-microsoft-agent-framework.md)
- [LangGraph vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/langgraph-vs-openai-agents-sdk.md)
- [LangGraph vs Pydantic AI](https://www.anchorterminal.com/compare/langgraph-vs-pydantic-ai.md)
- [LangGraph vs smolagents](https://www.anchorterminal.com/compare/langgraph-vs-smolagents.md)
- [LangGraph vs Strands Agents](https://www.anchorterminal.com/compare/langgraph-vs-strands-agents.md)
- [LangGraph vs TradingAgents](https://www.anchorterminal.com/compare/langgraph-vs-tradingagents.md)
- [LangGraph vs AI SDK](https://www.anchorterminal.com/compare/langgraph-vs-vercel-ai-sdk.md)
- [LlamaIndex Framework vs Mastra](https://www.anchorterminal.com/compare/llamaindex-vs-mastra.md)
- [LlamaIndex Framework vs Microsoft Agent Framework](https://www.anchorterminal.com/compare/llamaindex-vs-microsoft-agent-framework.md)
- [LlamaIndex Framework vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/llamaindex-vs-openai-agents-sdk.md)
- [LlamaIndex Framework vs Pydantic AI](https://www.anchorterminal.com/compare/llamaindex-vs-pydantic-ai.md)
- [LlamaIndex Framework vs smolagents](https://www.anchorterminal.com/compare/llamaindex-vs-smolagents.md)
- [LlamaIndex Framework vs Strands Agents](https://www.anchorterminal.com/compare/llamaindex-vs-strands-agents.md)
- [LlamaIndex Framework vs TradingAgents](https://www.anchorterminal.com/compare/llamaindex-vs-tradingagents.md)
- [LlamaIndex Framework vs AI SDK](https://www.anchorterminal.com/compare/llamaindex-vs-vercel-ai-sdk.md)

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