20 Dify alternatives
Dify: An open-source platform for building production LLM applications — visual workflows, RAG, and agents in one place. 20 apps do similar work, most sharing Developers, Open Source and Evaluation, ranked by how much they have in common with Dify.
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The framework and observability platform most teams use to build, debug, and ship LLM agents.
Also: Developers, Evaluation, Open Source, RAG
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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: API, Developers, Evaluation
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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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Open-source LLM observability — trace, evaluate, and improve AI applications with production data.
Also: Developers, Evaluation, Open Source
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Turn any website into clean markdown or structured JSON — crawling, JavaScript rendering, and extraction in one API.
Also: API, Open Source, RAG
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You.com sells web search, content extraction, answer and research APIs for AI agents; its consumer chat closed to new users in 2026.
Also: API, Developers, RAG
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Olostep Technologies, Inc.
One API to search, scrape, crawl, map and monitor the web, returning clean structured text that AI agents and RAG pipelines can use directly.
Also: API, Developers, RAG
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A search API purpose-built for RAG and agents — returns synthesised, cited content instead of a list of links.
Also: API, Developers, RAG
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Aisle Technologies, Inc.
An open-source layer that lets your customers describe a feature and get a working micro-app inside your product — sandboxed to their own permissions.
Also: Developers, No-Code, Open Source
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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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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, Open Source
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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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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
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Evaluation-first AI development — measure whether a prompt or model change actually improved anything.
Also: Developers, Evaluation
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Instantly provide support with your custom AI agent
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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, RAG
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An Apache-2.0 TypeScript framework for building AI agents — workflows, memory, RAG and evals — with a local studio and an agentic software factory on top.
Also: Open Source, RAG
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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, RAG
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Evokoa
Turn a Postgres database into working memory for AI agents — relational rows, graph traversal and vector search fused into one ranked, token-budgeted context block.
Also: Open Source, RAG