Mimir
Mimir: A self-hosted assistant for technical users who want persistent memory and controlled tool actions. Ranked #43 of 55 in AI Personal Assistants by our editors (4.8/10); pricing: Free plan; best for technical users who want a self-hosted assistant.
At a glance
- Editor score4.8 / 10
- PricingFree plan
- Best forTechnical users who want a self-hosted assistant
- Free planYes
- Paid fromFree
- Action automationYes
- Facts checked24 Sep 2026

Where it wins
- Keeps persistent conversations and editable three-tier memory in PostgreSQL.
- Indexes Markdown and PDF documents for retrieval-augmented search.
- Supports MCP tasks with approval required before write actions.
Where it doesn't
- No mobile apps are listed.
- No browser extension is listed.
- Briefings and RSS digests require external services to be configured.
Our verdict on Mimir
Mimir is a local-first personal AI assistant for technically inclined users who want to run an assistant on their own hardware. It connects to an OpenAI-compatible inference server, including Ollama, llama.cpp, or MLX-LM, and provides streaming chat through a React web interface. Conversations are stored in PostgreSQL, with a three-tier memory system combining editable semantic memory, episodic recall, and a working conversation window. That mix makes Mimir relevant to solo users who want continuity across chats and control over where inference runs, rather than a ready-made mobile assistant.
Document retrieval and tool use are central to its scope. Mimir can index Markdown and PDF files for retrieval-augmented search, while its MCP tool loop supports multi-step work involving web search, calendar lookups, and Kubernetes operations. Write actions require approval before execution, a useful boundary for users who want automation without unrestricted changes. Scheduled calendar morning briefings and RSS digests are also available when the associated external services are configured. The listed connections include CalDAV, SearXNG, Miniflux, Kubernetes, and ntfy, alongside local inference options. This ecosystem suits users comfortable managing those components; buyers seeking a broad, ready-to-connect assistant ecosystem may prefer another product.
Mimir is open source and has a free plan, with community and documentation listed as support channels. Its self-hosted, own-hardware approach offers technical users flexibility, but it also places setup and operation with the user. There are no mobile apps or browser extension, so it is a less natural fit for people who expect access through those interfaces. Choose Mimir for local inference, persistent memory, document search, and approval-gated tools; look elsewhere if mobile access or a less technical setup is essential.
Your product? Our editors can test Mimir in depth and publish a review, labelled as paid · from $149/mo →
Mimir pricing
Mimir fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Action automation | Yes |
| Calendar management | Yes |
| Task management | Not verified |
| Email management | Not verified |
| Connected apps | Not verified |
| Mobile apps | No |
| Browser extension | No |
| Deployment | Cloud, Self-hosted |
| Platforms | Web |
| Support | Community, Docs |
| Built for | Solo (editorial estimate) |
| Integrations | 9 integrations: OpenAI-compatible inference servers, Ollama, llama.cpp, MLX-LM, CalDAV, SearXNG … |
| Pricing | Free plan |
| Website | github.com |
| Facts checked | 24 Sep 2026 |
Mimir integrations
Mimir lists 9 integrations on its own site.
- OpenAI-compatible inference servers
- Ollama
- llama.cpp
- MLX-LM
- CalDAV
- SearXNG
- Miniflux
- Kubernetes
- ntfy
Alternatives to Mimir
- ChatGPTA broad AI assistant spanning chat, research, creation, analysis, and teamwork.9.4
- GeminiA broad AI assistant for users who want Google services, research, and creation tools together.9.3
- Microsoft CopilotA broad Copilot experience with especially strong Microsoft 365 integration.9.1
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The editor score above is our own research. What this page doesn't have yet is a reader's view — what you used Mimir for, what worked and what didn't. No stars are seeded and no review is paid for; an editor reads every one before it appears.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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