Dashboard for monitoring claude code sessions.

CTX - Context Runtime Engine for Coding Agents

pick any past Claude Code session via fzf, then resume it from the right cwd

Compounding Context for AI Coding Assistants — MCP graph engine for Claude Code, Cursor, Copilot, Gemini, OpenCode

Persistent, provider-neutral memory for Codex, Claude Code, OpenCode, Pi, and MCP coding agents.

Lightweight agent orchestration dev tool that lives in your repo

Local AI agent web app and CLI for running tools, code, web scans, and media generation.

Dive is an open-source MCP Host Desktop Application that seamlessly integrates with any LLMs supporting function calling capabilities. ✨

See what Claude Code and Codex actually send to the API — and what each part costs.

Evaluate agent skill quality. Find the weakest link. Fix it. Prove it worked.

Unified execution environment for Python code, shell commands, and programmatic MCP tool calls.

List MCP Server configurations in your system used by AI applications like Cursor, Claude Desktop, VS Code and others

AI-powered spec generation and review using multi-repo code graph intelligence for backend teams that ship to production.

🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman

Use ChatGPT Web (including Pro) as a native model in Codex — with context, tools, streaming and images, without using Codex quota.

Find that one coding agent session you want to get back to!

htop for AI coding agents — monitor token usage, costs, and workflows across Claude Code, Cursor, Kiro, Codex, and Copilot

Instant recall for coding agents. Search the history already on your machine. Git blame, but for agent sessions.

Codebase intelligence for AI. Detects patterns & conventions + remembers decisions across sessions. MCP server for any IDE. Offline CLI.

Native Liquid Glass AI token tracker for macOS. Breakdown into sessions/models/tools.

vMLX - Use MLX models easily - JANGQ (GGUF for MLX) - Not dependant on mlx_vlm

Multi-Agent + Automation: Workflows, Automation, Self-Improving Agents

A fast, native RSS reader — plus an agent-facing CLI so your AI agent can read, search and triage your feeds from the shell.

Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.