Key Takeaways
- Built by independent developer jarodise as an open-source community plugin β not an official Logseq product
- License: MIT, per the repository's own LICENSE file
- Local AI model providers: Ollama and LM Studio, configured as OpenAI-compatible API endpoints
- Cloud model providers: Google Gemini and x.ai Grok, also via OpenAI-compatible API configuration
- Adds chat blocks and slash commands directly inside Logseq's outliner, and can fetch a linked page's content as context
- Free and open source β no paid tier is documented anywhere in the project
- GitHub repository (github.com/jarodise/logseq-copilot) shows 17 stars as of September 12, 2026
- Install is manual: download the release from GitHub and enable it in Logseq's Settings β Plugins β no confirmed listing in Logseq's official plugin marketplace
π In One Sentence
logseq-copilot is a free, MIT-licensed community plugin that adds AI chat blocks and slash commands to the Logseq notes app, with local-model support through Ollama and LM Studio alongside cloud options such as Google Gemini and x.ai Grok.
π¬ In Plain Terms
It lets you type a slash command or chat block inside a Logseq page and get an AI response without leaving your notes. You can point it at a model running on your own computer through Ollama or LM Studio instead of a cloud API, and it can pull in the content of a linked page as extra context for the model.
πNote: This review is the deep-dive companion to logseq-copilot's entry in the Local LLM Software Directory β see that page for how it compares at a glance to dozens of other local-AI-capable tools.
What Is logseq-copilot?
logseq-copilot is a community plugin for Logseq, the outliner-based notes app, built by developer jarodise and distributed as open-source software under the MIT license. Its own GitHub repository describes it as a Logseq plugin that integrates with OpenAI-compatible LLM APIs to provide AI assistance directly inside your notes. It is not developed or officially published by Logseq's maker.
- Core function: chat blocks and slash commands inside a Logseq page, plus the ability to fetch a linked page's content and pass it to the model as context
- Local inference: no bundled inference engine of its own β the plugin connects to a separately running local server (Ollama or LM Studio) or a cloud API you configure, rather than shipping model weights inside the plugin itself
- Developer: jarodise, an independent developer distributing the plugin as open-source software, not affiliated with Logseq's maker
- Canonical repository: github.com/jarodise/logseq-copilot
- Project scale: a small, newer plugin β 17 GitHub stars as of this review, not a widely adopted one
What Can You Do With logseq-copilot?
logseq-copilot combines in-page AI chat, slash commands, and configurable model backends β local or cloud β per its own GitHub README.
- Chat blocks β insert an AI chat block directly inside a Logseq page and get a response without switching to a separate app
- Slash commands β trigger the plugin's AI features from Logseq's existing slash-command menu
- Linked-page context β fetch the content of a page linked from your current note and pass it to the model as additional context
- Local model support β Ollama and LM Studio as documented local providers, both configured as OpenAI-compatible endpoints
- Cloud model support β Google Gemini and x.ai Grok, also configured through the same OpenAI-compatible API settings
- Bring-your-own-key β every provider, local or cloud, is configured with your own endpoint and (where required) your own API key; the plugin does not host or resell model access itself
How to Install logseq-copilot
logseq-copilot installs as a plugin inside Logseq itself, not as a standalone application β Logseq must already be installed. Installation is manual: as of this review, there is no confirmed listing for this plugin in Logseq's official plugin marketplace, so it must be downloaded directly from its GitHub Releases page.
1. Download the release
- What to Do:
- Go to github.com/jarodise/logseq-copilot/releases and download the latest packaged release files.
2. Place the plugin in your graph
- What to Do:
- Extract the downloaded files into your Logseq graph's plugins folder, following the layout described in the repository's own instructions.
3. Enable it in Logseq
- What to Do:
- In Logseq, open Settings β Plugins, find logseq-copilot in the list of locally loaded plugins, and enable it.
4. Configure a model provider
- What to Do:
- In the plugin's settings, add an OpenAI-compatible endpoint β a local Ollama or LM Studio server, or a cloud provider such as Google Gemini or x.ai Grok β along with any required API key.
This is a manual, developer-style install, not a one-click marketplace install. Check the GitHub repository directly for the current release files and any setup steps that have changed since this review.
logseq-copilot vs. Copilot for Obsidian
logseq-copilot and Copilot for Obsidian both add AI chat to a notes app, but they target different host apps and differ substantially in scope and maturity.
Host app
- logseq-copilot:
- Logseq (outliner-based notes app)
- Copilot for Obsidian:
- Obsidian (file-based notes app)
License
- logseq-copilot:
- MIT
- Copilot for Obsidian:
- AGPL-3.0
Install method
- logseq-copilot:
- Manual download from GitHub Releases; no confirmed marketplace listing
- Copilot for Obsidian:
- Available in Obsidian's Community Plugins browser
Scope
- logseq-copilot:
- Chat blocks, slash commands, linked-page context
- Copilot for Obsidian:
- Chat, vault-wide search, and a multi-step Agent mode that edits files
Local model providers
- logseq-copilot:
- Ollama, LM Studio (OpenAI-compatible config)
- Copilot for Obsidian:
- Ollama, LM Studio, plus generic BYOK
Project scale
- logseq-copilot:
- 17 GitHub stars as of this review
- Copilot for Obsidian:
- Approximately 7,700 GitHub stars as of this review
Cost
- logseq-copilot:
- Free and open source; no paid tier documented
- Copilot for Obsidian:
- Free BYOK/local tier; paid tiers for Copilot-hosted cloud models
Logseq also has built-in full-text search across your graph, but that search has no AI component β it matches text, not meaning, and cannot generate a chat response. logseq-copilot is the layer that adds an actual AI conversation on top of your notes. If you use Obsidian instead of Logseq, see the Copilot for Obsidian review for the equivalent plugin on that app.
Who Should Use logseq-copilot?
Whether logseq-copilot fits depends on whether you already use Logseq as your notes app and want a lightweight AI chat layer inside it.
Competitors and Alternatives
logseq-copilot competes in the broader "AI chat inside your notes app" category. The closest same-category tool PromptQuorum has reviewed on a different host app is Copilot for Obsidian, which adds a comparable chat-and-agent layer to Obsidian rather than Logseq.
- Copilot for Obsidian Review β a same-category AI plugin for a different host app (Obsidian instead of Logseq), with a larger feature set including a multi-step Agent mode and vault-wide search.
- Smart Connections Review β a local semantic-search and link-discovery plugin for Obsidian rather than Logseq; a different core function (search, not chat) built for a different notes app.
Common Mistakes When Evaluating logseq-copilot
Most confusion about logseq-copilot comes from mixing it up with an unrelated project of the same name, or expecting features it does not document.
Frequently Asked Questions
What is logseq-copilot?
logseq-copilot is a community-developed plugin for the Logseq notes app that adds AI chat blocks and slash commands inside your notes, built independently by developer jarodise.
Is logseq-copilot free?
Yes. It is free and open source under the MIT license, with no documented paid tier. You configure your own model provider and, where required, your own API key.
Does logseq-copilot support local AI models?
Yes. It documents support for Ollama and LM Studio as local providers, configured as OpenAI-compatible API endpoints, alongside cloud options such as Google Gemini and x.ai Grok.
What license is logseq-copilot released under?
MIT, per the repository's own LICENSE file on GitHub.
Is logseq-copilot made by Logseq itself?
No. It is an independent community plugin built and maintained by developer jarodise, not developed or officially endorsed by Logseq's maker.
How do I install logseq-copilot?
Download the release from github.com/jarodise/logseq-copilot/releases, place it in your Logseq graph's plugins folder, then enable it in Logseq's Settings β Plugins. There is no confirmed listing in Logseq's official plugin marketplace.
How many GitHub stars does logseq-copilot have?
Its repository (github.com/jarodise/logseq-copilot) showed 17 stars as of September 12, 2026 β check the repository directly for a current count.
Is this the same project as the other "logseq-copilot" on GitHub?
No. A separate, unrelated GitHub project also named "logseq-copilot" is a browser extension with no AI features. This review covers github.com/jarodise/logseq-copilot specifically, the AI chat plugin.
Can logseq-copilot use a linked page as context?
Yes. The plugin can fetch the content of a page linked from your current note and pass it to the model as additional context.
How does logseq-copilot compare to Copilot for Obsidian?
Both add AI chat to a notes app, but for different hosts β logseq-copilot for Logseq, Copilot for Obsidian for Obsidian. Copilot for Obsidian has a larger feature set (a multi-step Agent mode and vault-wide search) and a much larger community (about 7,700 GitHub stars versus 17). See the full comparison table above.