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Curated collection

AI Agent Tools With Open-Weight Model Support

24 of the 147 tools in our index document real support for at least one open-weight or locally-run model (Llama, Mistral, DeepSeek, Qwen and others, typically via Ollama, LM Studio or a LiteLLM-style router) alongside the closed frontier APIs: a real answer to the single-vendor lock-in question, spanning frameworks, coding agents, agent platforms, voice agents and research agents.

Being "model-agnostic" and supporting an open-weight model are different claims, and this collection only counts the second one: a tool is listed here because its own published listing names a specific open-weight family (Llama, Mistral, DeepSeek, Qwen, GLM or Kimi among them), or explicit local execution through a runtime like Ollama or LM Studio. 24 of the 147 tools in this index clear that bar.

At a glance

agents
24
curated for this set
Free to start
22 of 24
a free or freemium entry tier
Public API
19 of 24
4 more only on a paid tier
Publish a price
24 of 24
an anchor price on their own page
What this collection covers

Several tools that look like candidates fail on exactly that distinction rather than on capability. [LangChain](/langchain) describes its model support as "Model-agnostic (any LLM)", [Vapi](/vapi) as "Model-agnostic (bring your own)", [Retell AI](/retell-ai) as "Model-agnostic (choose your LLM)", and [LangGraph](/langgraph) names "OpenAI, Anthropic, Google, and more", which is three closed providers and an "and more". Each of the four may well run an open-weight model; nothing any of them publishes says so, so none of them is counted here.

By category: 5 of 16 [agent frameworks](/category/frameworks) (Microsoft Agent Framework, Pydantic AI, Agno, Google ADK, CrewAI), 8 of 29 [coding agents](/category/coding-agents) (Cline, Aider, Juggler, OpenAI Codex CLI, OpenCode, Zot, Zed and Junie, which JetBrains' own docs confirm can point at a local Ollama or LiteLLM runtime alongside its frontier-model options), 8 of 33 [agent platforms](/category/agent-platforms) (n8n, Dify, Botpress, OpenClaw, Vecbase), 3 of 23 [voice agents](/category/voice-agents) (ElevenLabs Conversational AI, Deepgram Voice Agent API, Cartesia) and 3 of 13 [research agents](/category/research-agents) (GPT Researcher, Perplexity and Genspark). Genspark is the one entry where the open-weight model is the vendor's choice rather than yours: its Super Agent blends nine LLMs, DeepSeek among them, and you do not pick which one answers. Everywhere else on this page the open weights are something you select, host or point the tool at.

Our remaining categories have no entry here at all: [support agents](/category/support-agents), [sales & marketing agents](/category/sales-marketing-agents) and the newer [agent tools](/category/agent-tools). Every listing in all three is closed-model and cloud-only by its own published record.

How these 24 agents were picked

A tool earns a place here only if its own Published, sourced listing names at least one specific open-weight model family (Llama, Mistral, DeepSeek, Qwen, GLM, Kimi or similar) or explicit local-model execution (Ollama, LM Studio, "local model") somewhere in its `whatIs`, `whatItDoes`, `keyFeatures`, `integrations` or `attributes.modelLLM` fields: a generic "model-agnostic" or "bring your own model" claim with no open-weight option ever named does not qualify on its own. Verified directly against each listing's own text, not inferred from the `open-models` tag alone in either direction: a tagged listing that names nothing specific is excluded, and an untagged listing whose own text clears the bar is included.

Re-derived against the live corpus on 2026-08-27: 24 entries still Published, 0 dead, every per-entry note still matches its listing's current text, and no facts have moved since the 2026-08-26 pass. Candidates with an open-weight claim in their public listing but not listed here were checked and held back for the same reason as on 2026-08-26: page_context does not return the listing fields that gate open-weight admission (`whatIs`/`integrations`/`modelLLM`) and the listings lane owns that decision, so adding on a stale-reason cycle without that join is still the wrong call.

The 24 agents on this shelf

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