#ai-agents

🧠 Brain Framework: from information to informed actions.

Toolkit and libraries for running AI agents inside microVMs

Go framework for agentic AI app with MCP and built-in tools

Drive Claude Code through an SDLC pipeline on your GitHub Project board — Specify → Research → Plan → Implement → Review → Validate. Human in the loop, or on it. A Go CLI for automated, issue-driven development. Docs → fabrik.handarbeit.io

HazelJS - Agent OS for TypeScript backends.

AI code review pipeline that turns agent-written PRs into merge-ready patches

tmux agent-to-agent message delivery daemon.

Bringing AI practically to science!

Alegra CLI + MCP server for the Alegra accounting API. Drive it from your terminal or an AI agent (Claude, Cursor, Codex).

Multi-agent orchestration, persistent memory, and intelligent workflows for AI coding assistants. Supports Claude Code, OpenCode and Codex.

🚀 One sentence → your one-person company of AI experts → complete deliverable in minutes. 276 CN + 184 EN + 5 more languages (ko/ru/pt-BR/id/ar) · zero-code YAML · auto-verified acceptance · Web Studio / Desktop / Docker · 15 LLM providers (11 key-free). 一句话组建你的「一人公司」AI 专家团队，几分钟交付完整方案；验收自动核验，网页 / 桌面 / Docker 全渠道。

Biologically-inspired memory for AI agents. Decay, retrieval strengthening, consolidation. Zero dependencies.

Let AI agents edit Word documents without breaking them: fill in forms, update tables, restyle, write reports, and redline with tracked changes and comments.

Local-first, state-driven AI agent platform. Plan-review before execution, capability-gated tools, BYO LLM (Ollama / Anthropic / OpenAI). Tauri desktop + Go runtime.

AI coding agents forget. They forget across sessions, and they forget across tools. A decision you reached in Claude Code at midnight is invisible to Cursor the next morning. Honeycomb fixes that. Learn something once; recall it everywhere,

Canonical Agent Skills library for Claude Code, Cursor, Codex, and other agents.

Code quality analyzers for AI agents — dead code, clones, complexity, dependencies.

The design layer for agentic AI — design context, interface checks, and verification for coding agents.

Lightweight AI agent library. Turn Python functions/classes into AI tools instantly. No verbose configs or complex abstractions.

Turn any markdown vault or codebase into a cited, AI-queryable knowledge graph. Local-first CLI, web viewer, and MCP server.

An runtime for agents who collaborate with each other from one terminal. Optimized for steerability.

Local docs search: copy pages to Markdown, index with SQLite FTS5, and measure retrieval quality.

A minimal, sandboxed interpreter for LLM agents to execute code. Python-inspired syntax designed for embedding in Go applications.

The enforcement tool for Canonical-Driven Development (CDD). Audit, generate, and guard your project documentation. Zero dependencies.

Claim-driven mutation testing: inject faults and report what your tests miss. Vitest, Jest, Playwright, pytest & unittest. Part of the Guard family with DocGuard and WebSec Validator.

A Claude Code plugin for a structured dev workflow — 14 expert agents, code review, planning, and task tracking, all from the terminal.

Local-first AI coding agent for desktop, terminal, VS Code, Visual Studio, and CI code reviews.

AI Agent Evaluator & Red Team Platform

Creating realistic RL environments requires collaboration between researchers, engineers, and domain experts across many dimensions: artifacts, environments tools, dynamism of the environment, reproducibility, and more. There is no open source framework for building these environments effectively. Until now.

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