Conversational AI & Chatbots
Lorca
AI teammates that run locally on your computer with multi-agent coordination
FreeRuns in the cloudEditors pick
Pricing
Free
Free
Platforms
Web
Hosted app
Category
Conversational AI & Chatbots
71 tools
Reviews
0
No verified reviews yet
Last updated
Oct 8
Listing updated
Best for
Collaborative local multi-agent teams
Coordinate specialized bot teammates (such as developers, researchers, and project managers) in a shared group chat.
Pricing checked Oct 2026
User feedback
No aggregate rating verified
Explore discussions, issues, and documentation to see how this project fits your workflow.
Prother ratings come from verified reviews only.
Read Prother reviews (0) - write your ownHide Prother reviews
Reviews (0)
HONEST AND VERIFIED ONLYReview Lorca
Share real experiences on ease of use, feature power, and overall value.
About Lorca
Built by egoist, Lorca delivers a privacy-first multi-agent operating environment for macOS, Windows, and Linux. Users configure specialized AI teammates (starting with Chef, who assists in creating customized team members) that collaborate in unified group chats. Each agent takes turns responding based on task relevancy, reads and edits local files within designated folders, executes shell commands with explicit consent, and synchronizes across paired desktop and mobile clients via end-to-end encrypted relays.
- Runs entirely on your machine without third-party cloud data persistence
- True multi-agent group chats with turn-taking and bot-to-bot handoffs
- End-to-end encrypted sync between desktop runners and mobile companions
- Cross-platform support across macOS, Windows, Linux, and iOS
- Requires bringing your own API keys or running local LLM inference engines
- Requires runner machines to remain awake for remote mobile pairing
Alternative to Lorca
Compare in matrix →These tools share use cases. Features, costs, and deployment needs differ.
Practical Guides & In-Depth Evaluations
More in Conversational AI & Chatbots
See categoryAssistants and answer engines built on large language models: general-purpose chat, research copilots with inline citations, and customer-support agents that resolve tickets end to end. Every listing documents model access, context limits, API availability, and pricing so you can match the tool to the workload instead of the hype.
