53 boosters for "session" — AI-graded, open source, ready to install
A Windsurf rules booster that enforces development standards for the libtmux Python project, including code style, testing practices, and documentation conventions using modern tools like uv, ruff, and pytest.
A meta-cognitive workflow architecture for Windsurf that implements persistent memory banking and structured initialization/documentation/implementation workflows to maintain context across AI sessions. Ideal for developers using Windsurf who need reliable state management and systematic task organization.
Persistent cross-session memory for Claude and AI agents. Self-host on Redis/Valkey, or use the managed cloud at recallmcp.com.
Memory preservation for Claude Code sessions. Use when approaching token limits, needing to /reset or /compact, switching between complex tasks, or preserving critical session state before context loss. Creates comprehensive memory dumps at /tmp/total-recall containing current state, decisions, artifacts, and next steps for seamless context restoration.
Session End guides developers through a structured workflow to complete coding sessions with quality checks, changelog updates, and learning documentation. It's ideal for developers using Claude Code who want to maintain organized, documented development practices.
This Cursor rule set enables persistent memory and lesson management by integrating with an MCP server, automatically tracking user identity, preferences, goals, and past errors to provide contextually-aware assistance. Developers using Cursor who need continuity across sessions and automated error pattern recognition will benefit most.
Recall automatically searches across memory sources when users make vague references to past conversations, helping an AI assistant reconstruct context without guessing. Ideal for users who frequently reference earlier discussions and need reliable context retrieval.
This Cursor rules booster provides a customizable greeting system for AI-powered development workshops, displaying motivational messages about codecentric and AI-driven coding practices for the first 4 interactions in a session.
Catchup Command intelligently reviews recent git changes—either uncommitted work or the last commit—to help Claude quickly understand what's changed after a session restart. Developers benefit by avoiding manual git command repetition and getting instant context recovery.
Enables AI agents to parallelize independent development tasks using git worktrees, splitting work across multiple concurrent tracks while maintaining context continuity. Ideal for teams coordinating multiple Claude Code sessions on non-overlapping features.
ultraplan is a CLI tool that records multi-modal context (audio, screenshots, clipboard, keystrokes) from work sessions and converts them into detailed prompts for Claude analysis. Developers and researchers benefit by capturing complete context from meetings, debugging, or research workflows for later AI-assisted analysis.
This booster teaches AI assistants how to build vvvv gamma editor extensions, covering file naming conventions, command registration, window types, and API access patterns. It's essential for developers creating custom editor plugins and automation tools in the vvvv visual programming environment.
Enables Claude to delegate code review, debugging, and alternative implementation exploration to Google Gemini CLI through a JSON bridge script. Useful for developers who want multi-model validation and second opinions on code without manual context switching.
A self-learning system for Cursor that automatically captures code corrections and patterns, then syncs them into reusable skills and project rules. Developers benefit by reducing repetitive feedback and building a personalized knowledge base that improves over time.
Summarize and reflect on past Codex session histories to identify patterns, themes, and insights from your coding work. Useful for developers who want to audit their development process, track projects, or surface repeated patterns across multiple sessions.
A Windsurf rules booster that guides development of a production-ready Rust authentication library supporting OAuth2/OIDC and WebAuthn/Passkey for web applications. Developers building secure web services with Axum will benefit from structured development guidelines and best practices.
agent-builder enables developers to create production-ready AI agents with pai-agent-sdk and Pydantic AI, including tools configuration, session persistence, and hierarchical agent setups. Ideal for building autonomous applications, chatbots, and HITL workflows.
Markdown Agents is a framework for defining AI agents using simple markdown files with YAML frontmatter, enabling version-controlled, portable agent configuration across Claude Code and Desktop. Developers benefit from reduced cognitive load, git-native memory tracking, and predictive AI collaboration without session amnesia.
agentMemory provides AI agents with a persistent, searchable knowledge management system that syncs with project documentation, enabling developers to build agents with contextual memory and decision tracking across sessions.
Task Handoff enables seamless continuation of work across Claude sessions by identifying the current task list and generating commands to resume tasks in a new session. Developers and project managers benefit from structured task persistence and clear handoff workflows.
Provides a Memory Bank framework for AI agents to maintain project context across sessions through structured Markdown documentation. Useful for teams using Copilot who need persistent, organized project knowledge.
Heuristic scoring (no AI key configured).
A CLI skill that streamlines bug task creation in Gobby by parsing user input into structured bug reports with title, description, and priority. Useful for developers and teams using Claude Code who need rapid task logging during coding sessions.
Analyzes Claude Code conversation history to identify friction patterns and suggest systematic improvements to skills and workflows. Useful for developers who want to review multi-session interactions and iteratively refine their AI assistant usage.
