#typescript #agent #agentic #agentic_framework #agentic_workflow #ai #ai_agents #bytedance #deep_research #harness #langchain #langgraph #langmanus #llm #multi_agent #nodejs #podcast #python #superagent #typescript
DeerFlow 2.0 is an open-source super agent harness that orchestrates multiple sub-agents, memory systems, and sandboxed execution environments to accomplish complex tasks. Built on LangGraph and LangChain, it combines research, coding, and content creation capabilities with extensible skills and tools. The platform features isolated Docker containers for safe execution, long-term memory that learns your preferences, and the ability to spawn sub-agents that work in parallel on different task angles. You benefit from dramatically reduced research and automation time—tasks that typically take hours complete in minutes—while maintaining full transparency and control over agent decisions through human-in-the-loop collaboration. Whether you need deep research reports, data analysis, slide decks, or custom workflows, DeerFlow handles multi-step complexity without requiring extensive coding knowledge.
https://github.com/bytedance/deer-flow
DeerFlow 2.0 is an open-source super agent harness that orchestrates multiple sub-agents, memory systems, and sandboxed execution environments to accomplish complex tasks. Built on LangGraph and LangChain, it combines research, coding, and content creation capabilities with extensible skills and tools. The platform features isolated Docker containers for safe execution, long-term memory that learns your preferences, and the ability to spawn sub-agents that work in parallel on different task angles. You benefit from dramatically reduced research and automation time—tasks that typically take hours complete in minutes—while maintaining full transparency and control over agent decisions through human-in-the-loop collaboration. Whether you need deep research reports, data analysis, slide decks, or custom workflows, DeerFlow handles multi-step complexity without requiring extensive coding knowledge.
https://github.com/bytedance/deer-flow
GitHub
GitHub - bytedance/deer-flow: An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help…
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of...
❤2
#typescript #agent #agent_development #ai_agent #claude #claude_code #educational #llm #python #teaching #tutorial
Claude Code is an AI agent framework that uses a simple loop: send messages to Claude, check if it needs tools, execute those tools, and repeat. The benefit is that you can build powerful autonomous agents by layering one feature at a time—from basic tool use to multi-agent teams—without rewriting the core loop. This modular approach lets you start simple with bash commands and scale to complex workflows with planning, skill loading, background tasks, and team coordination, making it easier to automate development work and delegate entire projects to AI agents.
https://github.com/shareAI-lab/learn-claude-code
Claude Code is an AI agent framework that uses a simple loop: send messages to Claude, check if it needs tools, execute those tools, and repeat. The benefit is that you can build powerful autonomous agents by layering one feature at a time—from basic tool use to multi-agent teams—without rewriting the core loop. This modular approach lets you start simple with bash commands and scale to complex workflows with planning, skill loading, background tasks, and team coordination, making it easier to automate development work and delegate entire projects to AI agents.
https://github.com/shareAI-lab/learn-claude-code
GitHub
GitHub - shareAI-lab/learn-claude-code: Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1 - shareAI-lab/learn-claude-code
❤2
#typescript #ai_tools #claude_code #codex #desktop_app #kimi_k2_thiking #mcp #minimax #open_source #opencode #provider_management #rust #skills #skills_management #tauri #typescript #wsl_support
CC-Switch is a free desktop app (v3.10.2) for Windows, macOS, and Linux that lets you easily switch API providers, manage MCP servers, install Claude skills, and edit prompts for Claude Code, Codex, and Gemini CLI tools. It offers speed tests, auto-backups, cloud sync, and sponsor discounts up to 66% off APIs. This saves you time from manual config edits, picks the fastest services, and boosts coding productivity with seamless AI tool management.
https://github.com/farion1231/cc-switch
CC-Switch is a free desktop app (v3.10.2) for Windows, macOS, and Linux that lets you easily switch API providers, manage MCP servers, install Claude skills, and edit prompts for Claude Code, Codex, and Gemini CLI tools. It offers speed tests, auto-backups, cloud sync, and sponsor discounts up to 66% off APIs. This saves you time from manual config edits, picks the fastest services, and boosts coding productivity with seamless AI tool management.
https://github.com/farion1231/cc-switch
GitHub
GitHub - farion1231/cc-switch: A cross-platform desktop All-in-One assistant tool for Claude Code, Codex, OpenCode, openclaw &…
A cross-platform desktop All-in-One assistant tool for Claude Code, Codex, OpenCode, openclaw & Gemini CLI. - farion1231/cc-switch
❤2
#python #ai #ai_agent #ai_infra #kubernetes #sandbox
OpenSandbox is a general-purpose sandbox platform that lets you safely run AI applications, code, and agents in isolated environments. It provides multi-language SDKs for Python, Java, and JavaScript, making it easy to integrate into your projects. The platform supports Docker and Kubernetes runtimes, so you can run sandboxes locally or at scale. Key benefits include running code generated by AI models safely, executing data analysis, automating browser tasks, and training AI systems without risking your main system. Whether you're building coding agents, testing applications, or letting AI handle complex tasks, OpenSandbox gives you a secure, controlled space to experiment and execute code without side effects.
https://github.com/alibaba/OpenSandbox
OpenSandbox is a general-purpose sandbox platform that lets you safely run AI applications, code, and agents in isolated environments. It provides multi-language SDKs for Python, Java, and JavaScript, making it easy to integrate into your projects. The platform supports Docker and Kubernetes runtimes, so you can run sandboxes locally or at scale. Key benefits include running code generated by AI models safely, executing data analysis, automating browser tasks, and training AI systems without risking your main system. Whether you're building coding agents, testing applications, or letting AI handle complex tasks, OpenSandbox gives you a secure, controlled space to experiment and execute code without side effects.
https://github.com/alibaba/OpenSandbox
GitHub
GitHub - alibaba/OpenSandbox: Secure, Fast, and Extensible Sandbox runtime for AI agents.
Secure, Fast, and Extensible Sandbox runtime for AI agents. - alibaba/OpenSandbox
❤1
#typescript #agentic_ai #ai_agents #claude_code #cli #codex #coding_agents #cursor_agent #desktop_app #developer_tools #electron #git_worktree #llm #mcp #opencode #orchestration #parallel_agents #terminal #tui #vibe_coding #worktrees
Superset is a turbocharged macOS terminal for running 10+ CLI coding agents like Claude Code, Cursor, and GitHub Copilot in parallel. It isolates tasks in separate Git worktrees to avoid interference, lets you monitor progress from one dashboard, review changes with a built-in diff viewer, and switch contexts quickly. You benefit by coding 10x faster, shipping more without context-switching delays or conflicts, saving time on development workflows.
https://github.com/superset-sh/superset
Superset is a turbocharged macOS terminal for running 10+ CLI coding agents like Claude Code, Cursor, and GitHub Copilot in parallel. It isolates tasks in separate Git worktrees to avoid interference, lets you monitor progress from one dashboard, review changes with a built-in diff viewer, and switch contexts quickly. You benefit by coding 10x faster, shipping more without context-switching delays or conflicts, saving time on development workflows.
https://github.com/superset-sh/superset
GitHub
GitHub - superset-sh/superset: IDE for the AI Agents Era - Run an army of Claude Code, Codex, etc. on your machine
IDE for the AI Agents Era - Run an army of Claude Code, Codex, etc. on your machine - superset-sh/superset
❤2
#python #agent_skills #ai_scientist #bioinformatics #chemoinformatics #claude #claude_skills #claudecode #clinical_research #computational_biology #data_analysis #drug_discovery #genomics #materials_science #metabolomics #proteomics #scientific_computing #scientific_visualization
Claude Scientific Skills offers 148+ ready-to-use tools for AI agents like Cursor or Claude Code, covering biology, chemistry, drug discovery, clinical research, ML, and 250+ databases (PubMed, ChEMBL, etc.). Easy setup: clone the GitHub repo and copy folders to your skills directory for automatic use in complex workflows like single-cell analysis or virtual screening. You save days on setup, get reliable code, and run multi-step science faster on your desktop.
https://github.com/K-Dense-AI/claude-scientific-skills
Claude Scientific Skills offers 148+ ready-to-use tools for AI agents like Cursor or Claude Code, covering biology, chemistry, drug discovery, clinical research, ML, and 250+ databases (PubMed, ChEMBL, etc.). Easy setup: clone the GitHub repo and copy folders to your skills directory for automatic use in complex workflows like single-cell analysis or virtual screening. You save days on setup, get reliable code, and run multi-step science faster on your desktop.
https://github.com/K-Dense-AI/claude-scientific-skills
GitHub
GitHub - K-Dense-AI/claude-scientific-skills: A set of ready to use Agent Skills for research, science, engineering, analysis,…
A set of ready to use Agent Skills for research, science, engineering, analysis, finance and writing. - K-Dense-AI/claude-scientific-skills
🔥2❤1
#python #agent #ai_agents #memory #memoryscope #rag #reme
ReMe is a memory toolkit for AI agents with file-based (Markdown files for easy editing) and vector-based systems to fix limited context and stateless chats. It auto-summarizes talks, saves key facts like preferences, and recalls them next time using hybrid search. Install via `pip install reme-ai`, set API keys, and use ReMeCli or Python code for smart agents. You benefit by building persistent, learning agents that remember your needs, work faster on repeat tasks, and feel more natural without starting over.
https://github.com/agentscope-ai/ReMe
ReMe is a memory toolkit for AI agents with file-based (Markdown files for easy editing) and vector-based systems to fix limited context and stateless chats. It auto-summarizes talks, saves key facts like preferences, and recalls them next time using hybrid search. Install via `pip install reme-ai`, set API keys, and use ReMeCli or Python code for smart agents. You benefit by building persistent, learning agents that remember your needs, work faster on repeat tasks, and feel more natural without starting over.
https://github.com/agentscope-ai/ReMe
GitHub
GitHub - agentscope-ai/ReMe: ReMe: Memory Management Kit for Agents - Remember Me, Refine Me.
ReMe: Memory Management Kit for Agents - Remember Me, Refine Me. - agentscope-ai/ReMe
❤2
#typescript #ai #coding #react #react_grab
React Grab lets you point at any UI element on your React site, press Cmd+C (Mac) or Ctrl+C (Windows/Linux), and copy its exact file name, React component, and HTML code to your clipboard. Install it easily in Next.js or Vite projects with one command like `npx grab@latest init`. This speeds up AI coding tools like Cursor or Claude by up to 3x, saves time and costs by giving precise context instead of vague searches, and makes edits faster and more accurate right from your browser.
https://github.com/aidenybai/react-grab
React Grab lets you point at any UI element on your React site, press Cmd+C (Mac) or Ctrl+C (Windows/Linux), and copy its exact file name, React component, and HTML code to your clipboard. Install it easily in Next.js or Vite projects with one command like `npx grab@latest init`. This speeds up AI coding tools like Cursor or Claude by up to 3x, saves time and costs by giving precise context instead of vague searches, and makes edits faster and more accurate right from your browser.
https://github.com/aidenybai/react-grab
GitHub
GitHub - aidenybai/react-grab: Select context for coding agents directly from your website
Select context for coding agents directly from your website - aidenybai/react-grab
#go #ai #ai_agents #ai_cybersecurity #ai_hacking #ai_penetration_testing #ai_security_tool #ctf_tools #mcp #pentesting_tools
CyberStrikeAI is an open-source AI platform built in Go that automates security testing with 100+ tools like nmap, sqlmap, and metasploit, plus roles for pentesting/CTF, skills for vulnerabilities like SQL injection, dashboards, attack-chain graphs, and chat interfaces. Hackers have misused it for real attacks on FortiGate devices, automating scans and exploits via AI agents. For you, it offers easy deployment to test your own authorized systems quickly, spotting weaknesses before attackers do—saving time and boosting defense.
https://github.com/Ed1s0nZ/CyberStrikeAI
CyberStrikeAI is an open-source AI platform built in Go that automates security testing with 100+ tools like nmap, sqlmap, and metasploit, plus roles for pentesting/CTF, skills for vulnerabilities like SQL injection, dashboards, attack-chain graphs, and chat interfaces. Hackers have misused it for real attacks on FortiGate devices, automating scans and exploits via AI agents. For you, it offers easy deployment to test your own authorized systems quickly, spotting weaknesses before attackers do—saving time and boosting defense.
https://github.com/Ed1s0nZ/CyberStrikeAI
GitHub
GitHub - Ed1s0nZ/CyberStrikeAI: CyberStrikeAI is an AI-native security testing platform built in Go. It integrates 100+ security…
CyberStrikeAI is an AI-native security testing platform built in Go. It integrates 100+ security tools, an intelligent orchestration engine, role-based testing with predefined security roles, a ski...
#elixir #agent #ai #artificial_intelligence #elixir #event_driven_architecture #functional_programming #orchestration #workflow
Jido is a pure functional framework for Elixir to build autonomous multi-agent workflows. Agents are immutable data with a simple `cmd/2` function that transforms state purely and outputs directives for effects like signals or spawning, handled by OTP runtime. It formalizes patterns like standard signals, reusable actions, and hierarchies over raw GenServer, adding AI tools, strategies (ReAct, FSM), and supervision. You benefit by creating scalable, testable, fault-tolerant agent systems easily for production AI apps, saving reinvented code.
https://github.com/agentjido/jido
Jido is a pure functional framework for Elixir to build autonomous multi-agent workflows. Agents are immutable data with a simple `cmd/2` function that transforms state purely and outputs directives for effects like signals or spawning, handled by OTP runtime. It formalizes patterns like standard signals, reusable actions, and hierarchies over raw GenServer, adding AI tools, strategies (ReAct, FSM), and supervision. You benefit by creating scalable, testable, fault-tolerant agent systems easily for production AI apps, saving reinvented code.
https://github.com/agentjido/jido
GitHub
GitHub - agentjido/jido: 🤖 Autonomous agent framework for Elixir. Built for distributed, autonomous behavior and dynamic workflows.
🤖 Autonomous agent framework for Elixir. Built for distributed, autonomous behavior and dynamic workflows. - agentjido/jido