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LangChainlangchain-core 1.7.0Tested (smoke test)

LangChain: what’s new in langchain-core 1.7.0 and our verdict

Open-source framework for building LLM applications and agents in Python and JavaScript, from the team behind LangGraph and LangSmith.

Official site

Release Ruler for LangChain: marked at its Tested release date on the timeline of every AI model we track.

At a glance

Evidence
Tested (smoke test)
Released
Oct 22, 2026
Last verified
Oct 25, 2026
Pricing
Official page, dated
Best for
agent building

Evidence and ranking

Evidence behind this verdict

  1. Sources read2 cited sources, latest fetched Oct 25, 2026. (done)
  2. Facts re-checkedLast verified Oct 25, 2026. (done)
  3. Run by usSmoke test on Oct 25, 2026 (scope below). (done)

Passed Test log result: Passed. Read the log

Where we rank it (editorial)

Listed here but not yet ranked. Ranks are editorial picks, not benchmark scores.

Pricing: Open-source library; costs come from the model APIs you call. (checked 2026-10-25)

Our verdict

Open-source framework for building LLM applications and agents in Python and JavaScript, from the team behind LangGraph and LangSmith.

Good for

  • Developers who want the widest set of integrations
  • Teams that will pair it with LangGraph for stateful agents

Skip if

  • You want a minimal library with few abstractions
  • You only need one model provider's SDK

Tested. Tested 2026-10-25 (America/Chicago). LangChain.js 1.5.19 passed our one-tool task 3 of 3 on Node 20 and 3 of 3 on Node 24; about 101 MB in 36 packages. LangChain 1.4.7 passed our one-tool task on a local 3B model: 3 of 3 trials; cold uv install 0.8 s. Test environment: Linux x86_64 virtual machine (Debian 13), 8 vCPU, 15 GiB RAM, no GPU; no vendor account, login or API key. Agent tools were pointed at a local open-weight model (Qwen2.5-3B-Instruct (Q4_K_M) through Ollama 0.40.11), so we tested the tool, not any vendor's hosted models. Not tested: Any vendor-hosted model: everything ran against one local 3B model; Multi-agent flows, memory, streaming and deployment; Anything beyond one tool and one question; five trials is a smoke test, not a benchmark; Any vendor-hosted model: everything ran on a local 3B model, so tool-call reliability with frontier models is not measured here; Multi-agent flows, memory, long conversations, streaming, tracing and cloud deployment; Anything beyond one tool and one question; three trials is a smoke test, not a benchmark. These are smoke tests, not a benchmark. Full log: /tests/langchainjs. Full log: /tests/langchain.

Full test log with exact commands, versions and raw output: LangChain 1.4.7: our test log, LangChain.js 1.5.19: our test log.

Evidence
Tested (smoke test, 2026-10-25, local 3B model (Qwen2.5-3B)). A smoke test is not a benchmark.
What we ran
LangChain.js 1.5.19 passed our one-tool task 3 of 3 on Node 20 and 3 of 3 on Node 24; about 101 MB in 36 packages. LangChain 1.4.7 passed our one-tool task on a local 3B model: 3 of 3 trials; cold uv install 0.8 s.
Model used
Qwen2.5-3B-Instruct (Q4_K_M) through Ollama 0.40.11
Environment
Linux x86_64 virtual machine (Debian 13), 8 vCPU, 15 GiB RAM, no GPU; no vendor account, login or API key
Not tested
Any vendor-hosted model: everything ran against one local 3B model; Multi-agent flows, memory, streaming and deployment; Anything beyond one tool and one question; five trials is a smoke test, not a benchmark; Any vendor-hosted model: everything ran on a local 3B model, so tool-call reliability with frontier models is not measured here; Multi-agent flows, memory, long conversations, streaming, tracing and cloud deployment; Anything beyond one tool and one question; three trials is a smoke test, not a benchmark.
Date
(America/Chicago)

Best for

Key facts

LangChain's repository is MIT-licensed; the newest release we saw was langchain-core 1.7.0 on Oct 22, 2026. LangChain is the base library and integration layer; LangGraph (already covered here) is the lower-level orchestration runtime for stateful agents.

  • License: MIT (per GitHub)
  • Platforms: Python and JavaScript libraries
  • Pricing model: Free and open source
  • Free tier: Free to self-host
  • Paid plans: None listed for the library
  • GitHub: langchain-ai/langchain: 148,451 stars on 2026-10-25, last push 2026-10-25
  • Latest release we saw: langchain-core 1.7.0, 2026-10-22
  • How to start: Install the package (pip install langchain or npm install langchain) and follow the quickstart in the official docs.
  • langchain-core 1.7.0 (2026-10-22): the newest release listed on the official page or repository when we read it on 2026-10-25.

How to set it up: Get started with LangChain

These steps come from the vendor's own pages as read on 2026-10-25. We ran LangChain on 2026-10-25; the test log lists what was and was not covered.

  1. Get access

    Install the package (pip install langchain or npm install langchain) and follow the quickstart in the official docs.

  2. Check the limits and costs first

    Free to self-host. Open-source library; costs come from the model APIs you call.

Pros and cons

Pros

  • Very large integration surface
  • MIT license

Cons

  • Large API surface; abstractions have changed over time
  • Our test was one small task on a local 3B model; it does not show behaviour with hosted models or larger jobs

Alternatives and comparisons

  • LangGraph: Low-level framework for building long-running, stateful agents as graphs.
  • LlamaIndex: Open-source data framework for retrieval-augmented generation and document-centred agents, with a hosted document platform alongside.
  • CrewAI: Python framework for orchestrating role-playing, autonomous AI agents that work as a crew.
  • Langflow: MIT-licensed visual builder for AI agents and MCP servers with a very large GitHub following.

See all alternatives to LangChain

FAQ

What is LangChain?

LangChain's repository is MIT-licensed; the newest release we saw was langchain-core 1.7.0 on Oct 22, 2026. LangChain is the base library and integration layer; LangGraph (already covered here) is the lower-level orchestration runtime for stateful agents.

Is LangChain free?

Free to self-host. Open-source library; costs come from the model APIs you call. Checked 2026-10-25; prices change, so confirm on the vendor's page.

What license is LangChain under?

Its license: MIT (per GitHub). Read from the project's own pages on 2026-10-25.

Sources

Last verified · Agentic Weekly

  • Langflow: MIT-licensed visual builder for AI agents and MCP servers with a very large GitHub following.
  • Botpress: Customer-support AI agent platform with a free plan and conversation-based paid plans.
  • Gumloop: Agent builder for teams; plans start at $37 per month with 20k included credits.

How to cite this page

Agentic Weekly, "LangChain langchain-core 1.7.0: what's new, verdict & setup", last updated 2026-10-25, https://theagenticweekly.com/tools/langchain

Keep the Reported or Tested label when you quote a verdict. Plain-text version: https://theagenticweekly.com/tools/langchain.md. More for AI assistants: /ai, /tools.json, /llms.txt.