Openagent is live · free · last verified 24 Oct 2026 · viability monitor
Openagent
OpenAgent is a self-hosted AI agent platform with full MCP support, 30+ model providers, and managed RAG — one binary you download and run.
Single-binary deployment is the right call: it strips out the Docker and WSL friction that kills most self-hosted agent trials, and you're live in minutes rather than an afternoon. Full MCP support plus 30+ providers means it plugs into a stack you already use instead of demanding a rewrite. The price of that control is configuration files and docs instead of a visual builder, and every upgrade is your problem.
Verdict generatedVerified 6d ago · liveness 66/100 · cite: rightaichoice.com/tools/openagent
- Developers who want a private AI agent on their own hardware in minutes
- Teams that need self-hosted RAG grounded in internal PDFs, docs, and spreadsheets
- Regulated organizations requiring air-gapped deployment, SSO, and audit logs
- Builders running one agent definition across Telegram, Discord, and WeCom
- Non-technical users who want a no-code drag-and-drop agent builder
- Teams that want a fully managed, hosted agent service with vendor-run uptime
- Organizations that need native iOS or Android agent apps
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Skip OpenAgent if you want a no-code visual builder or a hosted service where someone else carries uptime — this is a config-driven, self-hosted platform you deploy and upgrade yourself.
Self-hosting shifts your model spend to your own provider accounts — OpenAgent itself is free but every OpenRouter, Azure OpenAI or Bedrock token is billed by that provider.
OpenAgent is Apache 2.0 open source with no license fee or usage cap, so your real cost is infrastructure and model tokens rather than a seat price. That puts it below per-seat hosted agent platforms for teams with existing hardware, and above them if you are paying an engineer to run it. The break-even point is roughly the point where owning the deployment is cheaper than buying the convenience.
In short
Openagent — OpenAgent is a self-hosted AI agent platform with full MCP support, 30+ model providers, and managed RAG — one binary you download and run. Best for Developers who want a private AI agent on their own hardware in minutes, Teams that need self-hosted RAG grounded in internal PDFs, docs, and spreadsheets, Regulated organizations requiring air-gapped deployment, SSO, and audit logs. Free to use.
What is Openagent?
Openagent — OpenAgent is a self-hosted AI agent platform with full MCP support, 30+ model providers, and managed RAG — one binary you download and run. Best for Developers who want a private AI agent on their own hardware in minutes, Teams that need self-hosted RAG grounded in internal PDFs, docs, and spreadsheets, Regulated organizations requiring air-gapped deployment, SSO, and audit logs. Free to use.
OpenAgent is a self-hosted AI agent platform that ships as a single binary for Windows, macOS, and Linux. No Docker, no WSL, no installer — download it, double-click, and the dashboard comes up at localhost:14000. The docs claim you can go from zero to a working agent in under five minutes, which is a genuinely unusual starting point for a self-hosted agent stack. The agent layer picked up full Model Context Protocol support in January 2026, so agents can call external tools and APIs inside multi-step workflows while carrying persistent memory across turns. A unified interface fronts 30+ model providers — OpenAI, Claude, Gemini, DeepSeek, Qwen, Mistral, Llama, Ollama, Azure OpenAI, AWS Bedrock, Grok, OpenRouter and more — and switching between them is a config line rather than a code change. For grounding agents in your own material, managed RAG parses PDFs, documents, and spreadsheets into vector stores including Qdrant, Pinecone, Milvus, and PgVector, with the vendor claiming 94%+ retrieval accuracy. The same agent definition can serve Telegram, Discord, and WeCom at once, and a plugin API covers custom tools, providers, channels, and workflows. Operationally there's SSO via Casdoor, role-based access control, audit logs covering tokens and tool calls, and full air-gap deployability. Licensed Apache 2.0, the project reports 4.5k+ GitHub stars and 50,000+ self-hosted instances, about 5,000 of them added in the month before mid-January 2026. Positioning-wise it sits in the self-hosted camp rather than the hosted kind — closer to a config-driven developer tool than a drag-and-drop builder, and you carry upgrades, rollbacks, and uptime yourself.
Key features
- Single-binary deployment — download and run, no Docker or WSL
- Runs natively on Windows, macOS, and Linux without virtualization
- Full Model Context Protocol (MCP) support for external tools and APIs
- Multi-step agent workflows with persistent memory
- 30+ model providers behind one unified interface
- Switch model providers with a single config line, zero code changes
- Managed RAG with document parsing and semantic vector search
- Upload PDFs, documents, and spreadsheets for grounded retrieval
- Vector store support for Qdrant, Pinecone, Milvus, and PgVector
- Multi-channel gateway: one agent across Telegram, Discord, and WeCom
- Plugin API for custom tools, model providers, channels, and workflows
- SSO integration via Casdoor
- Role-based access control (RBAC)
- Audit logs recording tokens and tool calls
- Air-gap deployable for regulated and compliance-bound environments
Behind the verdict
We'd reach for OpenAgent when the constraint is data residency, not features. Regulated teams that need agent workflows running air-gapped, with SSO through Casdoor and audit logs that record every token and tool call, get a defensible story without standing up half a dozen services to do it. The single binary does most of the heavy lifting there. The MCP story is what makes it worth a second look in 2026. Agents calling external tools and APIs inside multi-step workflows with persistent memory is the pattern most teams actually want, and wiring it up here takes a config line rather than a refactor. The 30+ provider list with one-line switching also means you can trial DeepSeek or Qwen against Claude without touching application code. The tradeoff is scope. This is a terminal-comfortable, config-driven product. If you want a visual canvas where non-engineers assemble agents, keep looking. If you want a hosted service where someone else carries the pager, same answer. Where it bites in practice: you own upgrades and rollbacks, and the January 2026 agent-first rebrand deprecated the older cloud and multimedia modules, so anyone migrating from an earlier version should read the changelog before pulling. The multi-channel gateway covers Telegram, Discord, and WeCom today; more channels are listed as roadmap, not shipping. Against the managed agent platforms, the pitch isn't cheaper or slicker — it's that your data never leaves your infrastructure and there are no usage limits or rate throttling. For teams where that sentence matters, the config friction is a fair trade. We'd pass if your team has no one comfortable editing config files and debugging a local service. Self-hosting without that skillset turns a five-minute install into an open-ended maintenance tax.
Models under the hood
as of 2026-10-25
Limitations
- OpenAgent is self-hosted, so you own deployment, upgrades, rollbacks and infrastructure, and no vendor is on the hook for uptime.
- Setup assumes comfort with config concepts like providers, models, embeddings and stores — there is no GUI setup wizard.
- Messaging channels are Telegram, Discord and WeCom; the vendor lists more channels as being on the roadmap.
- The January 2026 agent-first rebrand deprecated the legacy cloud and multimedia modules, so older setup guides covering those modules are out of date.
- The 94%+ retrieval accuracy figure is the vendor's own claim, not an independently verified benchmark.
as of 2026-10-13
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Is Openagent still active?
Openagent is live · free · last verified 24 Oct 2026 · viability monitor.
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: October 2026
How we score →What do users say about Openagent?
What people actually say about Openagent — is it worth it?
Our community sentiment research written Jul 3, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.
How we verified this
Every listed fact about Openagent— pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 24 Oct 2026. Pages mix model-assisted synthesis with human review; see how we verify.
Verification history
We have re-verified Openagent 10 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.
- — changed who it suits, features, our verdict, summary, who should skip it, pricing tiers, description
- — changed pricing page, limitations
- — changed features, who it suits, description, our verdict, hidden costs, limitations, switching in, switching out, who should skip it, pricing tiers, pricing fit, setup time, summary, use cases
- — changed pricing page
- — changed pricing tiers, our verdict, who should skip it, description, summary, who it suits, features
- — changed pricing tiers
Showing the 6 most recent of 10 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Openagent cost in 2026?
Openagent: Free to use. Pricing last verified 24 Oct 2026.
Plans compared
Every published Openagent tier, its price as the vendor publishes it, who it fits, and what it adds over the tier below. The 12-month cost projection follows.
| Plan | Price | Billing | Who it's for |
|---|---|---|---|
| Open Source (Apache 2.0) | Free | — | Developers build a local test agent after a download, and internal platform teams run private RAG over their own PDFs, wikis and spreadsheets for the same $0 license.Adds: Starting tier and the only published tier: self-hosted Apache 2.0 with no usage limits or rate throttling, so your spend is infrastructure and model tokens rather than a license fee. |
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
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 Apache 2.0 open source with no license fee or usage cap, so your real cost is infrastructure and model tokens rather than a seat price. That puts it below per-seat hosted agent platforms for teams with existing hardware, and above them if you are paying an engineer to run it. The break-even point is roughly the point where owning the deployment is cheaper than buying the convenience.
Has Openagent's pricing changed?
No plan price for Openagent has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick Openagent?
Pick Openagent if you are Developers who want a private AI agent on their own hardware in minutes, Teams that need self-hosted RAG grounded in internal PDFs, docs, and spreadsheets, Regulated organizations requiring air-gapped deployment, SSO, and audit logs, Builders running one agent definition across Telegram, Discord, and WeCom.
Look elsewhere if you are Non-technical users who want a no-code drag-and-drop agent builder, Teams that want a fully managed, hosted agent service with vendor-run uptime, Organizations that need native iOS or Android agent apps, Buyers who can't absorb the ops work of running, upgrading, and rolling back their own stack.
Skip it if Skip OpenAgent if you want a no-code visual builder or a hosted service where someone else carries uptime — this is a config-driven, self-hosted platform you deploy and upgrade yourself.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Openagent actually fits — and what changes day-one when you adopt it.
Download the Windows binary, run it, open localhost:14000, add a DeepSeek or OpenAI provider key, create a store with a research-assistant system prompt, and send a first test message in the Chat interface.
Outcome: A working self-hosted agent in minutes, with no data leaving the machine and no Docker or WSL setup to fight.
Connect MCP servers so the agent can call internal APIs, point managed RAG at a PgVector store loaded with runbooks and spreadsheets, then wire the same agent into Telegram and Discord.
Outcome: One agent definition handles multi-step tool-calling workflows across two chat surfaces, with persistent memory and token/tool-call audit logs for review.
Deploy air-gapped, enable Casdoor SSO, apply role-based access control per team, and rely on audit logs recording every token and tool call.
Outcome: Internal knowledge stays inside the network perimeter and every agent action is attributable to a named user for audit.
Use cases
- Run a private AI assistant that answers from your internal PDFs and wikis using managed RAG.
- Deploy one agent that responds simultaneously in Telegram, Discord and WeCom from a single deployment.
- Build a coding agent that calls external APIs through MCP servers to automate DevOps tasks.
- Route cost-sensitive traffic to DeepSeek and heavier reasoning to another provider without rewriting agent code.
- Give a regulated team RBAC, Casdoor SSO and audit logs over an air-gapped agent deployment.
- Stand up a semantic knowledge base on Qdrant, Pinecone, Milvus or PgVector that retrieves context from spreadsheets and documents.
- Extend an agent with custom tools, providers, channels and workflows through the plugin API.
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.
Solo developer: a few minutes — download the binary, run it, open localhost:14000, add a provider key and send a first message. Platform engineer: an hour or two to add MCP servers, load documents into a vector store and wire up Telegram or Discord. Regulated team: longer, because an air-gapped deployment with Casdoor SSO and RBAC means standing up identity and database infrastructure around it.
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 legacy OpenAgent cloud and multimedia modules: redeploy on the agent-first architecture, as the older modules are deprecated as of January 2026.
- →From a hosted chat-assistant subscription: export your document corpus into a Qdrant, Pinecone, Milvus or PgVector store and rebuild prompts as agents.
- →From a DIY LangChain or LlamaIndex script: rebuild the same tools and prompts as OpenAgent agents, plugin tools and MCP servers instead of custom glue code.
- →From a single-provider stack: add your existing provider key first, then add alternates so you can switch by config line rather than by code change.
- ↗To a managed hosted agent platform: re-create agents and prompts in the vendor's builder if you decide you no longer want to own uptime and upgrades.
- ↗To a no-code agent builder: expect to rebuild knowledge-base wiring visually, since OpenAgent's RAG is configured rather than dragged.
- ↗To a different self-hosted stack: move your vector store contents across, since Qdrant, Pinecone, Milvus and PgVector are portable, then re-implement MCP tool wiring.
- ↗To a vendor cloud agent service: swap OpenAgent provider config for the vendor's model endpoints and re-point your channels at their APIs.
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
What are the best Openagent alternatives?
The closest alternatives to Openagent we list are Moltis, Olares and Open Webui. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Moltis | Free | Free | — |
| Olares | Freemium | Pricing not published | — |
| Open Webui | Freemium | Pricing not published | — |
Alternatives to Openagent
View all
Moltis
Moltis is a self-hosted AI agent server that runs persistent, sandboxed automation from one Rust binary you own.
Olares
Olares is an open-source personal AI cloud OS for running local LLMs, agents, and self-hosted apps on hardware you own.
Open Webui
Open WebUI is the self-hosted AI interface for running Ollama, OpenAI, or Anthropic models on your own hardware.
Tools that pair well with Openagent
Common stack mates teams adopt alongside Openagent, with the specific reason each pairing earns its keep.
Moltis
Moltis is a self-hosted AI agent server that runs persistent, sandboxed automation from one Rust binary you own.
Olares
Olares is an open-source personal AI cloud OS for running local LLMs, agents, and self-hosted apps on hardware you own.
Open Webui
Open WebUI is the self-hosted AI interface for running Ollama, OpenAI, or Anthropic models on your own hardware.
Openagent vs its closest rival
Openagent's closest head-to-head is with 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. Verdict generated
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.
GeneratedOpenagent 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.
GeneratedOpenagent 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.
GeneratedFrequently asked questions
Best-of guides
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