Openagent
Self-hosted AI agent platform with single-binary install, MCP, and 30+ model providers.
OpenAgent is the fastest path we've seen to a self-hosted agent — genuinely friction-free single-binary install, with MCP and 30+ model providers out of the box. It earned our recommendation for developers who want full control and data ownership. Skip it if you need a managed cloud service or a no-code GUI; this is built for developers who want full control.
Verified 15d ago · liveness 69/100 · cite: rightaichoice.com/tools/openagent
- Developers building private AI assistants for their team
- Teams needing self-hosted RAG over internal documents
- Organizations requiring air-gapped AI deployments
- Multi-platform bot builders (Telegram, Discord, WeCom)
- Non-technical users looking for a no-code AI agent builder
- Teams that need a fully managed cloud service
- Users who rely on a graphical interface for agent creation (CLI-driven setup)
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Skip OpenAgent if you need a managed cloud service, a no-code GUI, or native mobile apps — this is built for developers comfortable with CLI setup and self-hosting.
You must provide your own API keys for model providers like OpenAI or Claude, and pay their usage fees — there's no free hosting included.
OpenAgent is completely free and open source (Apache 2.0) — you only pay for the underlying model API costs. This makes it an excellent choice for developers and startups watching their budget, compared to managed platforms like Dify or Flowise that charge per seat or usage. If you're comfortable with self-hosting, it's the most cost-effective way to run AI agents at scale.
In short
Openagent — Self-hosted AI agent platform with single-binary install, MCP, and 30+ model providers. Best for Developers building private AI assistants for their team, Teams needing self-hosted RAG over internal documents, Organizations requiring air-gapped AI deployments. Free to use.
What's new in Openagent
Checked 6 days agoAcross the latest 3 updates: 1 feature update, 1 launch and 1 news mention.
Full MCP support is live
Added full Model Context Protocol support, enabling agents to use external tools and APIs in multi-step workflows.
Agent-first architecture released
Rebranded to Agent-first architecture; legacy cloud and multimedia modules deprecated.
GitHub stars cross 4.5k, 50k+ self-hosted instances
OpenAgent surpassed 4.5k GitHub stars and 50k self-hosted instances, with 5k new instances in the last month.
What people actually say about Openagent — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
42 mentions across 2 sources (Hacker News, App Store) · researched Jul 3, 2026.
Average across the 2 sources that answered — each source counts once, not each post.
- +Excellent multi-agent orchestration with oh-my-openagent plugin for planning.
- +Supports 28+ model providers with easy switching via one config line.
- +Single binary deployment—no Docker/WSL required, minimal setup friction.
- +Full MCP support enables external tool use in multi-step workflows.
- +Managed RAG with vector search integrates Qdrant, Pinecone, Milvus, PgVector.
- −iOS and macOS app suffers from frequent server connection failures.
- −No support response via email for reported issues.
- −Free routes have been drastically reduced, limiting accessibility.
- −Official website appears to have gone offline, causing concern.
- −Core product value tied heavily to third-party plugin oh-my-openagent.
- • Self-hosting may require infrastructure (server, database, vector store) with associated costs
- • If using cloud model providers, those have pay-per-use costs not included in Openagent's pricing
Viability Score
How well maintained and how widely used is Openagent? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Single binary deployment (no Docker, WSL, or installer required)
- Full MCP support for external tools and APIs
- 30+ model providers (OpenAI, Claude, Gemini, DeepSeek, Qwen, Mistral, Llama, Ollama)
- Managed RAG with vector search (Qdrant, Pinecone, Milvus, PgVector)
- Multi-channel messaging (Telegram, Discord, WeCom)
- Plugin architecture for custom tools and integrations
- Role-based access control (RBAC) and SSO via Casdoor
- Comprehensive audit logs
- Self-hosted and air-gap deployable
- Vendor-free: switch providers with one config line
- Persistent memory for multi-turn conversations
- Web dashboard at localhost:14000
- Native Windows, macOS, Linux support
- Full API and SDK access
- Open source (Apache 2.0) with active community
About Openagent
OpenAgent is a self-hosted AI agent platform that ships as a single binary — no Docker, no WSL, no dependencies. Download, double-click, and your first agent is live in under five minutes. It targets developers and technical teams who need a private, controllable AI assistant that runs entirely on their own infrastructure. With 4.5k+ GitHub stars and 50,000+ self-hosted instances (5k new this month), it has quickly become a go-to for those who want data ownership without vendor lock-in. The platform supports 30+ model providers including OpenAI, Claude, Gemini, DeepSeek, Qwen, Mistral, Llama, and Ollama, all through a unified interface — switch providers with a single config line, no code changes. Managed RAG with vector search (Qdrant, Pinecone, Milvus, PgVector) delivers 94%+ accuracy for document retrieval. Multi-channel messaging deploys one agent across Telegram, Discord, and WeCom simultaneously. A plugin architecture lets you write custom tools, model providers, and channels with a clean API. The latest release (January 2026) brought full MCP (Model Context Protocol) support, enabling agents to use external tools and APIs in multi-step workflows. The platform also offers role-based access control via Casdoor, comprehensive audit logs, and air-gap deployability — making it suitable for regulated environments. It's Apache 2.0 licensed and fully open source. Compared to cloud-only assistants like ChatGPT or Claude.ai, OpenAgent gives you full data ownership and no usage limits. However, it lacks a hosted option and a no-code GUI, so it's best for teams comfortable with CLI setup and self-hosting. If you need a managed cloud service or drag-and-drop builder, look elsewhere — this is built for terminal comfort.
Behind the Verdict
OpenAgent sits in a rare spot: it's genuinely open-source (Apache 2.0), self-hosted, and light on infrastructure requirements. The single-binary approach means you can go from download to a working agent in minutes — we've tested enough self-hosted tools to know that's not typical. If you've fought with Docker Compose files or WSL setups for other agent frameworks, you'll appreciate how OpenAgent sidesteps all that. Where it shines: teams that need data ownership, air-gap capabilities, or the flexibility to swap model providers without rewriting code. The MCP support landed in January 2026, which means you can plug in external tools and APIs for multi-step workflows — a significant upgrade for production use. The multi-channel gateway (Telegram, Discord, WeCom) is also a pragmatic win if you're building bots that need to reach users where they already are. But it's not for everyone. There's no hosted option — you're running it yourself, which means you own the ops burden. The setup is CLI-driven, so if you prefer a graphical builder or a fully managed cloud service, OpenAgent will feel like a step backward. We also noticed the agent-first rebrand deprecated legacy cloud and multimedia modules — so if you were relying on those, you'll need to check the roadmap. Compared to cloud-only assistants like ChatGPT or Claude.ai, OpenAgent gives you total control over your data and no usage limits. Compared to other self-hosted frameworks, its main edge is simplicity and the breadth of model providers — 30+ out of the box. The trade-off: you won't get the plug-and-play convenience of a hosted GUI, and you'll need to manage your own infrastructure. In practice, this is a tool for developers who are comfortable with the terminal and want to ship agents without vendor lock-in.
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Real-world workflow fit
Concrete scenarios for the personas Openagent actually fits — and what changes day-one when you adopt it.
Set up a private coding assistant
Outcome: Download the binary, add your OpenAI API key, and start asking questions about your codebase with RAG on your docs within 5 minutes.
Deploy a multi-channel support bot
Outcome: Create one agent in OpenAgent and connect it to Telegram, Discord, and WeCom; the same bot handles queries across all platforms with centralized logging.
Implement compliant AI access
Outcome: Configure RBAC and SSO via Casdoor, enable audit logs, and deploy in an air-gapped environment — meeting regulatory requirements without cloud dependencies.
Use Cases
- Deploy a private, self-hosted AI assistant that answers questions from internal documentation using RAG.
- Build a multi-platform agent that responds in Telegram, Discord, and WeCom simultaneously from one codebase.
- Create a coding agent that uses external APIs and MCP servers to automate DevOps workflows.
- Switch between LLM providers (e.g., DeepSeek for cost, Claude for complex reasoning) without rewriting code.
- Enable role-based access and audit logs for compliant AI deployments in regulated industries.
- Integrate OpenAgent with Qdrant or Pinecone to power a knowledge base that retrieves context from PDFs and spreadsheets.
Models Under the Hood
as of 2026-09-09
Limitations
- OpenAgent is a self-hosted platform requiring users to manage their own infrastructure and updates.
- Deployment is via a single binary on Windows, macOS, or Linux, with a web dashboard at localhost:14000.
- It currently supports Telegram, Discord, and WeCom as messaging channels, with more planned.
- Native mobile apps are not mentioned.
as of 2026-08-26
Verification history
We have re-verified Openagent 6 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
Where the pricing makes sense
The company stage and team size where Openagent's pricing actually pencils out — and where peers do it cheaper.
OpenAgent is completely free and open source (Apache 2.0) — you only pay for the underlying model API costs. This makes it an excellent choice for developers and startups watching their budget, compared to managed platforms like Dify or Flowise that charge per seat or usage. If you're comfortable with self-hosting, it's the most cost-effective way to run AI agents at scale.
Setup time & first value
How long it actually takes to get something useful out of Openagent — broken out by persona, not the marketing-page minute.
Most developers can go from download to first message in under 5 minutes: download the binary, add a provider API key, and send a test message. For the full RAG setup with document indexing, expect 30-60 minutes. For production hardening with RBAC and air-gap, budget a few hours.
Switching to or from Openagent
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From a cloud assistant like ChatGPT: export your conversations and documents, then set up OpenAgent with your preferred model provider — you control the data from then on.
- →From a RAG framework like LangChain: point OpenAgent to your vector store (Qdrant, Pinecone, etc.) and reuse your document parsers via the plugin API.
- ↗To a managed platform like Dify or Flowise: export your agent configurations and use OpenAgent's open API to integrate with your new stack.
- ↗To a different self-hosted tool like Ollama: since OpenAgent uses standard MCP and provider abstractions, you can extract your model configurations and tools easily.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Openagent”, and we withheld 6: 6 could not be judged, because “Openagent” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Openagent.
Official links
Tools that pair well with Openagent
Common stack mates teams adopt alongside Openagent, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
Openagent vs Spider Cloud
Openagent and Spider Cloud serve different needs: Openagent is a self-hosted AI assistant platform for teams wanting control over models and data, while Spider Cloud is a high-performance web scraping API designed to feed real-time web data into AI agents. If you need a private assistant with RAG, choose Openagent. If your AI agent needs live web content at scale, Spider Cloud is the clear winner.
Openagent vs Presto Voice
Presto Voice and Openagent serve completely different markets. Presto Voice is a specialized drive-thru voice AI for QSR chains, offering up to 95% automation and proven revenue lift, but requires enterprise contact and is not for small restaurants. Openagent is a free, self-hosted AI assistant for developers, supporting 30+ models and MCP, ideal for teams needing private, customizable AI. Choose based on your use case: drive-thru automation or internal AI assistant.
Openagent vs Temporal Ai
Temporal AI is an industrial-grade durable execution platform for teams that need fault-tolerant, long-running workflows with automatic recovery. Openagent is a lightweight, self-hosted AI assistant for developers who want privacy and model flexibility. Choose Temporal for production AI agents and microservices orchestration; choose Openagent for a quick, private, multi-model assistant.
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