#ai-agents

Unreal Engine plugin for the DCC Model Context Protocol (MCP) ecosystem

Minimal CLI agent framework with compounding project memory — gets smarter with every session. Clean, modular, any LLM provider

MCP server for web fetching with Cloudflare bypass, Trafilatura extraction, and smart routing. Free, self-hosted, no API keys.

A GitHub-like local viewer for the AI coding era — browse code, read Markdown, review changes, and preview PDF, SVG, CSV, Excel, and PowerPoint files, with an integrated terminal and no full IDE.

Official ekoDB Go Client Package

Open infrastructure for AI agents to discover and pay each other

Harness template manager for AI coding agents. Compose skills, rules and context from any Git repo, then assemble one harness for Claude Code, Codex or Cursor.

Keine Repository-Beschreibung veröffentlicht.

⛽ Modular Go framework for micro-SaaS apps. Core runtime for dependency injection, routing, middleware, events, and service lifecycle, plus modules for auth, cache, database, storage, and more.

Like htop, but for AI coding agents. Monitor Claude Code & Codex CLI sessions, tokens, context window, rate limits, and ports in real-time.

Embeddable agent kernel for durable, provider-neutral LLM agents with permissions, pluggable tools, observability, and subagents.

The server-side runtime for AI agents. Durable & crash-safe (event-sourced), multi-worker scheduling, per-session sandboxing, human-in-the-loop, provider-neutral. Host agents like Claude Code on your own infra — self-hostable, no vendor lock-in.

Your agent and your teammates' agents, comparing notes before the meeting would have happened. ettle reconciles each person's typed working state into coordination tangles — collisions, duplicated work, stale assumptions — and shows each human only what is theirs to act on. Local-first, privacy-bounded. Early Go PoC.

Security monitoring for small cloud operators. AI-native, self-hosted, Go. 17 detectors into an LLM investigation cascade.

Local MCP server for delegating asynchronous coding jobs between Claude Code, Codex, Cursor Agent, and Pi.

SQL queries for CSV files. The analytical CSV query engine for AI agents cli: csvql.

817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains · Apache 2.0

An AI assistant runtime for coding and team workflows, with DingTalk AI Cards, sub-agents, memory, and tasks.

Python framework for horizontally-scalable, agent-native apps. A three-tier cache — SQLite, NATS KV, PostgreSQL — keeps state coherent across pods. Observable by default.

Deterministic governance for Claude and MCP tool calls. Pin approved capabilities, detect drift, and refuse unsafe or unapproved actions before execution. No model in the decision path.

Behavioral litmus harness for MCP servers — the open @polygraphso/litmus package (CLI, library, MCP server).

Self-hosted uptime monitoring that learns normal latency, reduces alert noise, and works with AI through a secure MCP server.

Persistent memory for AI agents

Semantic change intelligence for coding agents — complete impact sets, edit-ready context, and diff verification. Local CLI, MCP, and Go API.

One CLI for all your robots. Connect them, command them, and let them work together, each with an LLM for a brain (Claude, OpenAI, Gemini, Grok, or local via Ollama or vLLM), VLAs for arms and decision LLMs (Jev, Laya, Kev). Drives Microduck, Open Duck Mini, LeRobot, XLeRobot, AlohaMini, ToddlerBot, or any ROS 2 base from a laptop, offboard.

Distribute AI Skills as Composer dependencies

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

CLI to manage persistent thoughts and notes across repositories, with AI coding agent integration.

AI-first CLI for Semaphore CI/CD. 80+ tools, embedded MCP server, JSON output

Open-source workflow engine for AI agents. An agent calls Realm over MCP, or realm agent drives a model from the CLI. Steps run in order, agent answers are checked against the schema a step declares, human gates pause the run until answered, and each finished step is recorded.