# LangGraph vs LlamaIndex Framework (slim)

> 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.

- Full: https://www.anchorterminal.com/compare/langgraph-vs-llamaindex.md (~3,850 tokens) · this version ~1,880 tokens · JSON https://www.anchorterminal.com/compare/langgraph-vs-llamaindex.json · canonical https://www.anchorterminal.com/compare/langgraph-vs-llamaindex
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-07
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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: B 69.8, rank #227 of 1510 · https://www.anchorterminal.com/tools/langgraph.min.md
- LlamaIndex Framework: BB 70, rank #217 of 1510 · https://www.anchorterminal.com/tools/llamaindex.min.md
- LangGraph, 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.
- LlamaIndex Framework, good for Python teams building retrieval-heavy agents over their own data, with many connectors. Ahead on Security & auth, 74 against 60. Also Agent-ready, a grade of BB or better.

| Category | LangGraph | LlamaIndex Framework |
| --- | --- | --- |
| Reliability (16%) | 75 | 70 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 89 | 85 |
| Agent ergonomics (13%) | 70 | 73 |
| Security & auth (14%) | 60 | 74 |
| Payments & pricing (10%) | 60 | 60 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 90 | 69 |
| Transparency & trust (7%) | 81 | 67 |

| Fact (where they differ) | LangGraph | LlamaIndex Framework |
| --- | --- | --- |
| Vendor | LangChain | LlamaIndex |
| Last release | 2026-10-30 | 2026-09-21 |
| 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 |

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.)