A Tauri desktop GUI for Claude Code: browse and resume past sessions, build reusable agents with scoped permissions, and track token spend per project. Adds checkpoint branching and visual MCP server management, with all data kept locally and no telemetry.
Transforms Claude Code into a structured development platform by injecting behavioral instructions and orchestrating workflows via 30 slash commands. Provides 20 specialized agents and optional MCP server integrations for faster, token‑efficient research and agent-driven dev workflows.
Source code for the GitHub Copilot Chat extension in VS Code: inline chat, an agent mode that plans and edits files autonomously, next-edit suggestions, and MCP integration. Open-sourced so developers can study how Copilot connects to an editor.
A template and workflow for feeding AI coding assistants structured context — project rules, code examples, and validation gates — instead of one-off prompts. Centers on Product Requirements Prompts (PRPs) that an agent generates, then executes.
Official, runnable examples for Amazon Bedrock AgentCore, AWS's framework- and model-agnostic platform for deploying AI agents. Spans Runtime, Memory, Gateway, Identity, and Observability through notebooks, code, and infrastructure templates.
Spec-driven agentic dev platform that turns a prompt into requirements, a design doc, and sequenced tasks before any code is written, then implements from the spec. Runs across IDE, CLI, web, and mobile; validates output with property-based tests.
An agentic framework that analyzes, plans, and executes multi-step video understanding and editing workflows using multimodal LLM-driven agents—features intent decomposition, graph-based workflow orchestration, and automated shot planning for long-form video tasks.
Closes a learning loop most agents lack: turns experience into reusable skills, refines them mid-task, and full-text searches its own past sessions for recall. Runs from CLI or Telegram/Discord/Slack and schedules unattended cron jobs.
Modular marketplace of focused Claude Code plugins that composes specialized agents and progressive 'agent skills' to orchestrate multi-agent development workflows while minimizing token usage.
Searchable plugin marketplace and curated collections of Claude Code agents, commands, hooks, skills and plugins — lets users discover, browse, and install subagents and tooling via a web UI, plugin commands or a CLI. Indexes community plugins and MCP servers and provides curated packs.
Compiles an agent's raw chat logs, documents, and tool traces into three persistent layers — index, learned skills, and user memory — so context survives sessions. Claims 92% Locomo-benchmark accuracy and up to 95% lower token cost than replaying history.
Lets AI coding agents provision and operate a full backend themselves — Postgres with pgvector, OAuth2 auth, S3-style storage, Deno edge functions, and hosting — through one interface, plus an OpenAI-compatible model gateway.