ASSISTANTS
BLOCKS
BUNDLES
Blocks are reusable components that define specific behaviors and capabilities for AI assistants, from custom instructions to advanced model configurations
The following blocks were recently created by the Continue community
Gemini's newest multimodal model, with next generation features and improved capabilities
The latest series of Code-Specific Qwen models, with significant improvements in code generation, code reasoning, and code fixing
MCP server equipped with tools with tools to interact with your dlt+ project. The `uv` package manager is required. Don't install both the dlt and the dlt+ MCP servers to avoid redundant tools. Reach out for an early access dlt+ license: https://dlthub.com/docs/plus/intro
Web and local search using Brave's Search API
Local filesystem access with configurable allowed paths
GitHub repository access and management
Knowledge graph-based persistent memory system
Read-only local PostgreSQL database access with schema inspection
OpenAI's reasoning model designed to solve hard problems across domains
OpenAI's most recent small reasoning model, providing high intelligence at the same cost and latency targets of o1-mini
Offers similar performance compared to the Llama 3.1 70B model
A ruleset generated from Effective Go (https://go.dev/doc/effective_go)
DeepSeek-R1 achieves performance comparable to OpenAI-o1 across math, code, and reasoning tasks