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Run official Claude Code/Codex/Gemini/OpenCode coding sessions locally and control them remotely via Web/PWA/Telegram — local-first workflow with seamless handoff between local and remote, AFK approvals from phone, voice assistant, and multi-agent CLI support.
Provides a visual plan-and-code review UI that lets humans annotate, approve, or send structured feedback to coding agents and PR diffs. Integrates with Claude Code, OpenCode, Copilot CLI, Pi and Codex; supports encrypted short-link sharing and self-hosting.
Provides a set of Agent Skills that let LLM agents read, edit, and manipulate Obsidian files (Markdown, Bases, JSON Canvas) and interact with Obsidian via the CLI. Implements the Agent Skills spec for use with Claude Code, Codex CLI, and OpenCode, enabling automated note workflows and RAG over an Obsidian vault.
Provides an installable library of 1,340+ SKILL.md playbooks for AI coding assistants, with an installer CLI, bundles, workflows and plugin-friendly distributions for Claude Code, Cursor, Codex, Gemini CLI and more.
Provides a desktop app and an MCP endpoint to share AI skills, plugins, and connected services across agents and teams. Includes a local-first workspace for macOS/Windows/Linux, an MCP that integrates with Codex/Claude/Cursor, and an org control plane for publishing capabilities and managing access.
Exposes the Claude Code SDK as a local Anthropic/OpenAI-compatible HTTP proxy so third-party tools can use Claude Max. Adds session management, streaming, multi-profile routing and OpenAI-format endpoints while respecting Anthropic's SDK auth, rate limits and prompt caching.
Filters and compresses CLI command outputs before they reach an LLM, typically reducing token consumption by 60–90%. Single Rust binary with zero runtime dependencies, supports 100+ dev commands and integrates via a Bash hook into common AI coding tools.
Provides cross-platform semantic memory for AI coding agents by turning human-editable Markdown logs into a rebuildable Milvus “shadow” index and syncing memories across plugins (Claude Code, OpenClaw, OpenCode, Codex). Supports progressive retrieval, hybrid dense+BM25+RRF search, smart deduplication, live sync, and local ONNX embeddings.
Encodes production-grade engineering workflows (spec, plan, build, test, review, ship) as reusable "skills" so AI coding agents follow consistent development practices. Packaged as per-skill SKILL.md files and slash commands for integration with agents and CLIs. Suited for teams embedding engineering guardrails into agent-driven dev workflows.
Dramatically reduces AI agents' context usage by sandboxing large tool outputs and indexing only relevant snippets into a searchable SQLite FTS5 (BM25) knowledge base, improving session continuity and privacy. Deploys cross-platform hooks and sandbox tools to cut context size by ~98% and avoid dumping raw logs into the model's window. ([github.com](https://github.com/mksglu/context-mode/blob/main/README.md?utm_source=openai))
Provides persistent, searchable memory for coding agents (Claude Code, Cursor, Gemini CLI, etc.), automatically capturing tool usage and session facts. Combines BM25, vector embeddings and a knowledge graph for hybrid retrieval, reducing token costs and re-explaining between sessions.