Persistent semantic memory for Claude Code with session recovery, self-reported learning, soul layer, and anti-hallucination grounding
SDK for building AI agents with Claude Code's capabilities. Programmatically interact with Claude to build autonomous agents that can understand codebases, edit files, and execute workflows.
Codex CLI integration for Ruflo (claude-flow) - OpenAI Codex platform adapter
Native CLI binary for @anthropic-ai/claude-agent-sdk on linux-x64
Native CLI binary for @anthropic-ai/claude-agent-sdk on linux-x64-musl
An ACP-compatible coding agent powered by the Claude Agent SDK (TypeScript)
Lightweight core CLI surface for Claude Flow — memory + hooks commands only. Designed to load fast on cold npx cache (<5s) so plugin skills don't race the 30s MCP-startup timeout. The full @claude-flow/cli metapackage lazy-loads everything else on top of
Shared module - common types, events, utilities, core interfaces
Skillflag producer CLI reference implementation.
The open agent skills ecosystem
No description provided.
Native CLI binary for @anthropic-ai/claude-agent-sdk on win32-x64
Native CLI binary for @anthropic-ai/claude-agent-sdk on linux-arm64
Native CLI binary for @anthropic-ai/claude-agent-sdk on linux-arm64-musl
AI SDK v6 provider for Claude via Claude Agent SDK (use Pro/Max subscription)
Sellable MCP server for Claude Code and Codex campaign workflows
Clementine — Personal AI Assistant (TypeScript)
Native CLI binary for @anthropic-ai/claude-agent-sdk on darwin-arm64
Create a new LangGraph project
Native CLI binary for @anthropic-ai/claude-agent-sdk on darwin-x64
Memory module - AgentDB unification, HNSW indexing, vector search, hybrid SQLite+AgentDB backend (ADR-009)
CLI tool for interacting with AI agents via multiple interfaces
Native CLI binary for @anthropic-ai/claude-agent-sdk on win32-arm64
Loads environment variables from .env file
RCrewAI is a powerful Ruby framework for creating autonomous AI agent crews that collaborate to solve complex tasks. Build intelligent workflows with reasoning agents, tool usage, memory systems, and human oversight. Key Features: • Multi-Agent Orchestration: Create crews of specialized AI agents that work together • Multi-LLM Support: OpenAI GPT-4, Anthropic Claude, Google Gemini, Azure OpenAI, Ollama • Rich Tool Ecosystem: Web search, file operations, SQL databases, email, code execution, PDF processing • Agent Memory: Short-term and long-term memory for learning from past executions • Human-in-the-Loop: Interactive approval workflows and collaborative decision making • Advanced Task Management: Dependencies, retries, async execution, and context sharing • Hierarchical Teams: Manager agents that coordinate and delegate to specialist agents • Production Ready: Security controls, error handling, comprehensive logging, and monitoring • Ruby-First Design: Built specifically for Ruby developers with idiomatic patterns • CLI Tools: Command-line interface for creating and managing AI crews
Pocketrb is a Ruby AI agent framework featuring async message bus architecture, multi-LLM support (Claude, OpenRouter, RubyLLM), multi-channel messaging (CLI, Telegram, WhatsApp), planning system, context compaction, and simple JSON-based memory with keyword matching.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.