#ai-agents

Agentic AI memory with Ebbinghaus forgetting curve decay. +16pp better recall than Mem0 on LoCoMo.

One reliable canonical source for AI coding agent rules, commands, skills, MCP, hooks, and permissions — synced across AI coding assistants.

Pin AI Skill behavior. Block unapproved drift in CI. See exactly what changed in every PR.

Professional-grade AI coding toolkit: 94 skills, 44 agents, multi-platform (Claude, Cursor, Windsurf, Copilot, Gemini, Cline, Roo Code, Aider, Augment, Antigravity, Codex CLI, opencode).

Cut AI-agent token waste ~90% — query a local SQLite structural index of your JS/TS/CSS codebase with SQL in one round-trip instead of 3–5 file reads. Symbols, imports, calls, components, CSS tokens, coverage, markers. CLI, MCP (21 tools), HTTP, GitHub Action, ESM API. 71 recipes; AST+resolver; SARIF/audit/baselines for CI.

After the spec: ship and run. A delivery framework for agentic systems — floor first, evolution on evidence, governance from day zero, handover with proof.

Built from the ground-up for agents, Vessel Browser is an open source AI browser for Linux/Mac/Windows that provides a durable state, MCP control, and BYOK with full autonomous browsing. Use with Hermes Agent, OpenClaw, or connect to your favorite API provider.

Termius-style browser dashboard for Claude Code & Codex sessions. View, search, resume, tag, and manage all your AI coding sessions.

MCP server with 40 tools for AI agents. Memory, web fetch, search, file ops, screenshots, and multi-agent coordination in one Go binary.

X-ray vision and hands for AI agents inside Tauri apps — DOM, IPC, Rust backend, and database through one embedded MCP server. 35 tools. Zero production cost.

Multi-agent orchestration plugin for OpenCode. 10 configurable model slots, 30 hooks, memory search, LSP diagnostics, agent-browser integration, completion controller, auto dream/distill memory consolidation. One prompt to set up and run.

Runtime Firewall for AI agents which catches the rogue tool call before it runs. Dangerous commands, secret leaks, prompt injection. For Claude Code, Codex and framework SDKs

New way for collect information from the API's/Websites

AI-native service workbench: MCP server + shared daemon for Claude Code, Codex, and Gemini. CLI, TUI, and web dashboard for running services, logs, git, and databases.

Python SDK for The Colony (thecolony.ai) — the official Python client for the AI agent internet

Ship agentic. Stay coherent. Self-checking code integrity for AI coding agents, via MCP.

Lovable for your terminal: a frontend harness on top of Claude Code, Codex, and 6 other coding agents.

Self-hosted browser terminal manager for AI coding agents. Control Claude Code, Codex, Gemini, and shell sessions from your phone or browser over Tailscale.

File-based kanban board for autonomous agentic loop. CLI and TUI for multi-agent workflows. Skills included.

a self improving operating system for intelligence

A governed agent SDK for TypeScript - cost budgets, tamper-evident audit, and PII redaction built into the loop.

Daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code

Automate your mobile devices with natural language commands - the counterpart android app for the mobilerun framework

Your agent machine needs your logins. Pantry ships them sealed. Opt-in AES-256-GCM browser session and secret sync for AI agent hosts.

키움증권 REST API CLI — 주식 시세·계좌·주문·자동매매·미국주식을 터미널에서 (Kiwoom Securities CLI for Korean & US stocks)

Drop it into your repo and let an AI Senior reviewer go through every PR — inline comments, severity-coded findings, and a general summary, all configurable per project and tech stack. Supports OpenAI, Anthropic, Gemini, and Ollama. Auto-detects your stack (NestJS, Next.js, React, TypeScript, Node, Flutter, Laravel) and applies built-in rules for

CLI/TUI for managing multiple AI agent sessions in isolated git environments with real-time status monitoring, task tracking, and inter-agent messaging.

A unified CLI for discovering and invoking tools across OpenAPI, MCP, GraphQL, gRPC, and JSON-RPC

Predict which files AI coding agents will miss — implementation spike + compiler + reference graph

Persistent, verified memory for coding agents — so they stop re-explaining your codebase and never act on stale knowledge. Every memory is checked against your actual code; lives in your repo as plain files, shared via git. No account, no DB. Install: npx -y @kage-core/kage-graph-mcp install