Independent register of AI agents & harnesses · no sponsored placementsEdition 2026-09 · 107 entries · evidence to 26 Sept 2026

The Register / Multi-agent frameworks / LangGraph

Register entry · Multi-agent frameworks · updated 26 Sept 2026

LangGraph

LangGraph models an agent or multi-agent system as a graph with explicit shared state, persisted by checkpointers so runs can pause for human approval and resume after failures. It is MIT-licensed, reached 1.0 in October 2025 alongside LangChain 1.0 (whose agents run on the LangGraph runtime), and shipped 1.1 in March and 1.2 in May 2026. LangChain sells hosting, tracing and evaluation through LangSmith (the managed deployment was formerly called LangGraph Platform).

What reviewers and users praise

  • Explicit state, checkpoints and retries suit complex or long-running workflows (Langfuse, PromptQuorum reviews; several r/LangChain comments)
  • Human approval steps and resume-after-failure are first-class (PromptQuorum; r/LLMDevs post)

What they criticise

  • Steep learning curve and heavy abstraction; frequently called overkill for simple agents (PromptQuorum cons; r/LangChain and HN comments)
  • Silent state bugs and hard-to-navigate graph state reported by users (r/LangChain, HN)
  • Repeated CVEs in checkpoint serialisation and SQLite/Redis stores in 2025-2026 (all patched)
Rating certificate · AW/26-09/43126 Sept 2026

LangGraph

LangChain, Inc. · Multi-agent frameworks

ProvisionalTrust BOpen source
Adoption94
Experts—
Crowd43
Experts vs the crowdneeds both scores
Experts—
Crowd43
PriceFree, paid from $39
Use it viaAPI, CLI
Runs onmacos, linux, windows
LicenceMIT
UpdatedEvidence collected 26 Sept 2026

How the rating was worked out

Weights for Multi-agent frameworks: adoption 45%, experts 30%, crowd 25%. Pillars without enough evidence are left out and the others re-weighted. The method.

Adoption & momentumweight 45%94GitHub stars 42k → 80 · npm weekly downloads 3.1M → 94 · PyPI monthly downloads 44M → 100 · 16 releases in 90 days → 100
reach × 0.7 + momentum × 0.3
Expertsindependent reviews · weight 30%—Only 2 independent reviews (3 needed)
Crowdcommunity sample · weight 25%4315 dated posts from reddit, hackernews: 4 positive · 4 mixed · 7 negative
(positive + ½ mixed) ÷ n, averaged toward 50 for small samples
Rating76Provisional: low confidence (2 of 3 pillars, 15 community posts).

Evidence checks. 1 review from tool directories, AI-written pages or unnamed authors not counted. How evidence is checked.

Editorial adjustment. Incident-history re-grade under methodology revision 2 (see the trust section).

Trust & safety

Seven dimensions graded A–D from documented facts. Overall: B.

C

Permission model

Nodes and tools execute automatically; pausing for human approval is opt-in via interrupt() or LangChain's HumanInTheLoopMiddleware. No sandbox is provided by the library. source

B

Data access scope

The graph reaches only the tools and stores the developer wires in, but these run with the host process's permissions; no framework-level allowlisting. source

A

Data storage

Library runs locally or self-hosted; state is kept in the checkpointer backend you choose (memory, SQLite, Postgres, Redis). LangSmith cloud hosting is optional; Enterprise offers self-hosted/hybrid. source

B

Data retention & training

Library itself sends nothing to LangChain. For the optional LangSmith platform the pricing page states 'LangSmith does not use your data to train models'; a retention period was not verified in this pass. source

C

Incident history (24 months)

Repeated serious advisories in 24 months, all patched: RCE via JsonPlusSerializer 'json' mode (CVE-2025-64439), SQL injection in SQLite checkpointer/store (CVE-2025-64104, CVE-2025-67644), BaseCache/msgpack/JSON deserialisation (CVE-2026-27794, CVE-2026-28277, CVE-2026-48775), SDK URL path issue (CVE-2026-48776), store namespace matching (CVE-2026-71433). The Hacker News (12 Jun 2026) described an SQLi + deserialisation chain to RCE in self-hosted deployments; LangSmith Deployment unaffected. Regraded from D: Revision 2: serious issues that were each fixed and publicly disclosed grade C; D is kept for unresolved issues or slow or undisclosed fixes. source

A

Compliance

LangChain docs state LangSmith holds SOC 2 Type II, HIPAA and GDPR (annual third-party audits); applies to the hosted LangSmith/Deployment offering, not the open-source library. source

A

Transparency

MIT-licensed source with public GitHub releases and published security advisories. source

The experts

2 named independent reviews found; dated reviews from the last 12 months are scored.

  • positive
    LangGraph fits teams building production agents that need explicit control over state, retries, or human approval — not every agent needs a graph.Hans Kuepper, PromptQuorum · 5 Sept 2026 · promptquorum.com
  • positive
    LangGraph remains the default for complex, stateful workflows where you need explicit control over every step.Jannik, Langfuse · 13 Jul 2026 · langfuse.com

The crowd

15 coded posts from reddit, hackernews.

4 positive4 mixed7 negative
  • negative
    Agno runtime is faster in prod, comparison to LangGraph, also agno is quite easy to learn. LangGraph has a steep learning curve.r/LangChain · 9 Sept 2026 · reddit.com
  • mixed
    LangGraph is incredible for complex, multi-agent state, but honestly, if you just need structured outputs and a couple of basic tool calls, PydanticAI is so much cleaner.r/LangChain · 4 Sept 2026 · reddit.com
  • mixed
    langgraph is genuinely good at the agent-shaped part: state, branching, human approval, multi agent handoffs, retries that are still inside one run.r/LangChain · 3 Sept 2026 · reddit.com
  • mixed
    LangGraph is reliable as a runtime. The footgun is silent state bugs, not crashes.r/LangChain · 28 Aug 2026 · reddit.com
  • negative
    Then you use a workflow engine like Temporal. Not LangGraph (which is super bloated as a piece of software)r/LangChain · 28 Jul 2026 · reddit.com
  • negative
    People jaded Langgraph and langchain because is one of the worst frameworks you can work with. Extremely clunky and the documentation WAS ATROCIOUSr/LangChain · 23 Jul 2026 · reddit.com
  • positive
    its the only one where state genuinely survives failures and human approval steps feel native.r/LLMDevs · 24 Jun 2026 · reddit.com
  • negative
    LangGraph is just as bad. The whole Lang* ecosystem is a convoluted garbage dump written by amateurs.r/LangChain · 26 May 2026 · reddit.com

Pricing

As published, checked 26 Sept 2026.

PlanPriceNotes
LangGraph libraryFreeMIT-licensed open source.
LangSmith DeveloperFree1 seat, up to 5k base traces/month then pay-as-you-go.
LangSmith Plus$39 / monthlyPer seat; 10k base traces/month; access to Deployment (one free small serverless deployment); compute billed in LCU ($1.50) and storage in LSU ($1.00).
LangSmith EnterpriseCustomCustom; self-hosted and hybrid options, SSO/RBAC, support SLA.

Recent changes

Sources

Every figure above traces to one of these, observed up to 26 Sept 2026.

  1. LangSmith plans and pricing
  2. LangSmith shared responsibility model (SOC 2 Type II, GDPR, HIPAA; search snippet)
  3. LangChain and LangGraph Agent Frameworks Reach v1.0 (22 Oct 2025; search snippet)
  4. OSV query for PyPI langgraph and langgraph-checkpoint advisories