20 LangChain alternatives
LangChain: The framework and observability platform most teams use to build, debug, and ship LLM agents. 20 apps do similar work, most sharing Developers, Evaluation and Open Source, ranked by how much they have in common with LangChain.
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Open-source LLM observability — trace, evaluate, and improve AI applications with production data.
Also: Developers, Evaluation, Observability, Open Source, Python
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LangGenius
An open-source platform for building production LLM applications — visual workflows, RAG, and agents in one place.
Also: Developers, Evaluation, Open Source, RAG
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The standard experiment tracker for machine learning, now with tracing and evaluation for LLM applications.
Also: Evaluation, Observability, Python
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Arize AI
AI engineering platform for tracing, evaluating and improving LLM apps and agents — with Phoenix, its open-source local-first counterpart, for teams that want to start without a vendor.
Also: Evaluation, Observability, Open Source
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Prefactor Pty Ltd
Agent observability and evaluation that scores every production run for quality, drift and risk — and can pause or block a risky action before it executes.
Also: Developers, Evaluation, Observability
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Evaluation-first AI development — measure whether a prompt or model change actually improved anything.
Also: Developers, Evaluation, Observability
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Vectify AI
A vectorless RAG engine that builds a tree index of long PDFs and lets an LLM reason its way to the right section, with page-level citations.
Also: Open Source, Python, RAG
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IBM (DataStax)
Open-source, MIT-licensed visual builder for AI agents, RAG apps and MCP servers, maintained by IBM's DataStax and extensible in Python.
Also: Open Source, Python, RAG
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Document parsing and retrieval built for agents — turn messy PDFs into structured, queryable context.
Also: Developers, Python, RAG
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Microsoft
Microsoft's open-source optimizer that trains an agent's SKILL.md like a model parameter — epochs, learning-rate budgets and a held-out validation gate, with frozen weights.
Also: Developers, Evaluation, Open Source
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Secure cloud sandboxes where AI agents can run untrusted code safely, starting in milliseconds.
Also: Developers, Open Source, Python
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The multi-agent framework where agents have roles and collaborate as a crew — plus a platform to run them in production.
Also: Developers, Open Source, Python
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Reads your production chat and voice agent conversations to surface the silent failures, frustration loops and policy breaches that offline evals never catch.
Also: Evaluation, Observability
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Abhishek Iyer
A local, keyboard-driven diff viewer built for the huge changes coding agents produce - and it remembers what you have already seen.
Also: Open Source, Python
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Open-source testing and evals platform for MCP servers — trace tool calls, debug OAuth, and catch cross-client regressions in CI.
Also: Evaluation, Open Source
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HKUDS
Open-source, self-hosted personal AI agent you run yourself — browser UI, terminal or your chat apps, with memory, MCP tools and scheduled automations.
Also: Open Source, Python
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Run agent evals and private benchmarks in sandboxed cloud environments — compare Claude Code, Codex, Cursor and Copilot on the same real tasks.
Also: Developers, Evaluation
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Tatva Labs Inc.
Continuous automated QA for voice and chat AI agents, from pre-launch simulation to live call monitoring.
Also: Developers, Evaluation
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Lenz IO
Audit-grade fact-checking API for AI products — eight models across five stages, adversarial debate, and a full citation trail behind every verdict.
Also: Developers, Evaluation
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Serverless GPUs from a Python decorator — deploy models and batch jobs with no containers or cluster to manage.
Also: Developers, Python