octomind
Active·★ 61·Apache-2.0·Updated 2026-05-29
★ Trending★ Vision / Multimodal★ Memory & Context
Highly configurable autonomous efficient-first agentic AI framework for CLI
Octomind is an AI-powered development assistant that facilitates natural language interaction with codebases using a session-first architecture. It integrates various development tools, offers multi-provider AI support, and includes features like multimodal vision and cost optimization.
#AI Assistant#Codebase Interaction#Natural Language Processing#Multimodal AI#Development Tools#Cost Optimization#Session-first#Multi-provider AI
01
Features
01Session-First Architecture for interactive AI conversations with persistent context.
02Built-in MCP Tools for file operations, code analysis, shell commands, and web search.
03Multi-Provider AI Support for seamless integration with OpenRouter, OpenAI, Anthropic, Google, and other LLM services.
04Multimodal Vision Support to analyze images, screenshots, and diagrams with AI capabilities.
05Cost Tracking & Optimization with real-time usage monitoring, caching, and detailed cost reporting.
02
Compatibility
Rust
Runtime
Verified via docs
OpenRouter
AI Provider
Verified via docs
OpenAI
AI Provider
Verified via docs
Anthropic
AI Provider
Verified via docs
Google
AI Provider
Verified via docs
Amazon
AI Provider
Verified via docs
03
Quick start
1
$ curl -fsSL https://raw.githubusercontent.com/muvon/octomind/master/install.sh | bash
04
Use cases
↳Query and analyze codebase structure or implementation details through natural language conversations.
↳Automate code modifications, refactoring, and error handling across multiple files.
↳Analyze UI layouts or visual elements from images and suggest improvements.
↳Delegate complex analysis and development tasks to specialized AI agents.
↳Monitor AI token usage, costs, and tool calls in real-time for project management.
05
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Comments
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- AAvery ClarkMar 29, 2026
Efficient-first agentic AI framework with high configurability is the right design priority
- SSpencer RiveraMar 23, 2026
The CLI focus means it integrates naturally into existing terminal-based development workflows
- KKendall HarrisMar 21, 2026
Used for building autonomous task agents, the efficiency model reduces API costs significantly
- RReese ThompsonMar 7, 2026
Good for teams that need configurable agent behavior without complex framework overhead