Explore projects

Imported as snapshot from GitHub: https://github.com/umputun/revdiff

TUI for reviewing diffs, files, and documents with inline annotations

Imported as snapshot from GitHub: https://github.com/nvk/llm-wiki

LLM-compiled knowledge bases for any AI agent. Parallel multi-agent research, thesis-driven investigation, source ingestion, wiki compilation, querying, and artifact generation.

Imported as snapshot from GitHub: https://github.com/jazzyalex/agent-sessions

Session browser + Agent Cockpit + Analytics + Limits tracker for Codex CLI/Desktop/VSC, Claude Code CLI/Desktop, OpenCode CLI, Gemini CLI, Pi CLI , GitHub Copilot CLI + OpenClaw & Hermes agents. Search/filter ALL past sessions, archive sessions, resume instantly, see rate limits in real-time. Native macOS app.

Imported as snapshot from GitHub: https://github.com/concierge-hq/concierge

🚀 Universal SDK for building next-gen MCP servers

Imported as snapshot from GitHub: https://github.com/Intelligent-Internet/ii-researcher

II-Researcher: a new open-source framework designed to aid building search / research agents

Imported as snapshot from GitHub: https://github.com/davidjurgens/potato

potato: the portable annotation tool

Imported as snapshot from GitHub: https://github.com/PV-Bhat/vibe-check-mcp-server

Vibe Check is a tool that provides mentor-like feedback to AI Agents, preventing tunnel-vision, over-engineering and reasoning lock-in for complex and long-horizon agent workflows. KISS your over-eager AI Agents goodbye! Effective for: Coding, Ambiguous Tasks, High-Risk tasks

Imported as snapshot from GitHub: https://github.com/CreminiAI/skillpack

Pack and deploy local AI agents for your team in minutes

Imported as snapshot from GitHub: https://github.com/alirezarezvani/ClaudeForge

A CLAUDE.md Generator and Maintenance tool for for Claude Code to create high-quality CLAUDE.md instruction files — aligned with Anthropic’s best practices for Claude Code.

Imported as snapshot from GitHub: https://github.com/sinaptik-ai/panda-agi

PandaAGI provides a simple, intuitive API for building general AI agents in just a few lines of code

Imported as snapshot from GitHub: https://github.com/alirezadir/Agentic-AI-Systems

Practical system design, tools, and hands-on resources for building Gen-AI agents & agentic AI systems.

Imported as snapshot from GitHub: https://github.com/shinpr/ai-coding-project-boilerplate

Agentic coding TypeScript boilerplate for Claude Code — sub-agent workflows with built-in quality checks and context engineering.

Imported as snapshot from GitHub: https://github.com/InfinitiBit/graphbit

GraphBit is the world’s first enterprise-grade Agentic AI framework, built on a Rust core with a Python wrapper for unmatched speed, security, and scalability. It enables reliable multi-agent workflows with minimal CPU and memory usage, making it production-ready for real-world enterprise environments.

Imported as snapshot from GitHub: https://github.com/run-llama/llama-agents

Llama Agents + Workflows are an event-driven, async-first, step-based way to control the execution flow of AI applications like agents.

Imported as snapshot from GitHub: https://github.com/capsulerun/capsule

Secure runtime to sandbox AI agent tasks. Run untrusted code in isolated WebAssembly environments.

Imported as snapshot from GitHub: https://github.com/mitdbg/palimpzest

A System for Optimized Semantic Computation

Imported as snapshot from GitHub: https://github.com/towardsai/agent-course-notebooks

This is a repository for the course "Agentic AI Engineering" by Towards AI.

Imported as snapshot from GitHub: https://github.com/marian2js/opengoat

Build organizations of OpenClaw agents that coordinate work across Codex, Claude Code, Cursor, OpenCode, and more 🐐 🐐 🐐

Imported as snapshot from GitHub: https://github.com/astronomer/agents

AI agent tooling for data engineering workflows.

Imported as snapshot from GitHub: https://github.com/GenseeAI/cognify

Multi-Faceted AI Agent and Workflow Autotuning. Automatically optimizes LangChain, LangGraph, DSPy programs for better quality, lower execution latency, and lower execution cost. Also has a simple agent/workflow framework