
Kanevry/session-orchestrator
A workflow for planning AI coding sessions, checking changes and handing work over between sessions.
29. juni - 5. juli 2026

A workflow for planning AI coding sessions, checking changes and handing work over between sessions.

Anthropic explains how to select and manage context for agents, including tools, memory and long-running work.

A tool that supplies version-specific library documentation and code examples to AI coding assistants.

Reference documentation for Claude Code hooks, their events, configuration and input and output formats.

A practical guide to running AI coding agents in repeated implementation and verification loops.

A collection of plugins, agents and skills for development, testing and review across AI coding tools.

A directory of Model Context Protocol servers for connecting AI tools to external services and data.

Anthropic's public collection of reusable agent skills, with examples combining instructions, scripts and resources.

A memory system that records agent activity, compresses previous sessions and restores relevant context in later sessions.

Anthropic describes the architecture, tool design and lessons from building its multi-agent research system.

Starter configuration files and memory templates for organising Claude Code projects.

A research paper examining context-management methods for language-model agents performing long sequences of tool calls.

An agent coordination framework with tools for workflows, memory, retrieval and multi-agent execution.

Reference implementations of Model Context Protocol servers, maintained alongside links to related resources.

A development workflow that organises AI coding work into planning, implementation, validation and review.

Documentation for Claude Code configuration files, setting scopes and precedence rules.

A project verification tool that runs checks and records evidence about AI-written changes, with an optional coding agent.

The Python SDK for building applications with Claude agents, including installation instructions and usage examples.

A collection of skills, memory tools and security workflows for configuring and improving AI coding agents.

Patterns and command-line tools for organising AI coding agents into repeatable, verifiable workflows.

An experimental agent framework for the AI SDK, with controls for execution loops, stopping conditions and context management.

GitHub's official MCP server, connecting AI assistants to repositories, issues, pull requests and other GitHub workflows.

A local meeting assistant that records speech, identifies speakers and generates transcripts and summaries.

An agent skill providing interface-design guidance across different platforms and product types.