Basemind provides a comprehensive context and communication layer for coding agents, transforming repositories into always-current maps of code, documents, history, and memory. This enables agents to efficiently answer questions from structured data and search results, significantly reducing token consumption. It also facilitates shared communication channels for agent teams, allowing for effective coordination and collaboration during development tasks.

basemind: Comprehensive context and communication layer…

Features

01Code Intelligence: Provides detailed insights like file outlines, symbol definitions, references, and semantic search across 300+ languages, saving LLM context.

02Code Graph Analysis: Offers tools to walk the typed code-graph, visualizing calls, dependencies, and architectural maps, including shortest paths and communities.

03Git Intelligence: Enables querying recent changes, blame, churn, and full-text commit history search, providing deep historical context.

04Agent Memory & Document Search: Includes a per-repo memory for agents and semantic search over diverse document formats (PDFs, Office, HTML, images), plus web crawling.

05Agent Communication & Shells: Establishes shared communication threads for agent coordination and allows running headless terminal sessions for task execution.

Compatibility

Python

Runtime

Verified via docs

Node.js

Runtime

Verified via docs

macOS

OS Support

Verified via docs

Linux

OS Support

Verified via docs

Rust

Language Ecosystem

Verified via docs

Quick start

$ pip install basemind

Use cases

↳Efficient Code Question Answering: Agents can answer complex code questions with specific file paths and line numbers using minimal tokens, leveraging the code map instead of full file reads.

↳Multi-Agent Code Review & Collaboration: Facilitates named agents to coordinate code reviews, post findings, reply to each other, and synthesize verdicts in shared, scoped threads.

↳Codebase Understanding & Architecture Discovery: Enables developers and agents to explore codebase structure, dependencies, call graphs, and architectural patterns for better insights.

↳Enhanced RAG for Developers: Combines code, documents (including OCR), and web content into a searchable knowledge base, allowing agents to retrieve context by meaning, not just keywords.

↳Automated Agent Task Execution: Agents can spawn and control headless terminal sessions, send commands, and capture output, enabling complex automation workflows.

basemind

Features

Compatibility

Quick start

Use cases

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