Tag: #gemini-cli
16 packages • ⭐ 3,880 total stars
Run Claude Code, Gemini, Codex — or any coding agent — in a clean, isolated sandbox with sensitive data redaction and observability baked in.
A local sandbox for your AI agents
A unified workspace for local AI coding agents (Claude Code, Codex, Gemini CLI, etc.) — desktop app, standalone server, or Docker. Conversation aggregation, git worktree workflows, MCP/Skills manageme
Turn AI into a persistent, memory-powered collaborator. Universal MCP Server (supports HTTP, STDIO, and WebSocket) enabling cross-platform AI memory, multi-agent coordination, and context sharing. Bui
The Execution Security Layer for the Agentic Era. Providing deterministic "Sudo" governance and audit logs for autonomous AI agents.
Agent ensembles to design, generate, and select the best code for every task.
Self-hosted orchestration layer for autonomous AI agent teams. Shared memory, heartbeat scheduling, vault-first secrets, and cross-model peer review — one command to deploy.
Dragon Brain — persistent long-term memory for AI agents via MCP (Model Context Protocol). Knowledge graph (FalkorDB) + vector search (Qdrant) + CUDA GPU embeddings. Works with Claude, Gemini CLI, Cur
A plugin with compound engineering workflows and memory for AI coding agents
Autonomous goal-directed iteration for Gemini CLI. Inspired by Karpathy's autoresearch. Modify → Verify → Keep/Discard → Repeat forever.
Local-first AI agent bootstrap: Playwright Browser MCP + ContextDB for Codex CLI, Claude Code, Gemini CLI, and OpenCode.
Local-first Agentic Memory Layer for MCP Agents • 25 tools • Hybrid search (FTS5 + vector + MMR) • GDPR • 100% local
🚀 Run a high-performance MCP server for Zotero, enabling customizable workflows without cloud dependency or API keys.
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Manage and automate Obsidian vaults from the command line with 100+ commands and direct file access for efficient workflows.
🔍 Enable real-time exploration of GitHub repositories with this high-performance Model Context Protocol (MCP) server built in Rust.
