agents

Python toolkit for building LLM agents with MCP servers, skills folders, memory, streaming, and metrics support.

Buzz is a self-hostable workspace for humans and AI agents to collaborate in the same threads, with signed events, audit trails, channels, workflows, and code-oriented actions.

Appaca is an AI workspace for operators that lets teams build internal tools, custom workflows, and specialized AI co-workers by chatting with AI. The page shows examples across sales, finance, marketing, HR, ops, product, engineering, and IT, plus support for knowledge bases, built-in storage, automations, and integra

Deterministic CLI that scans AI-generated code for bad API integrations using AST-based rules. It supports providers like Supabase, Auth0, Firebase, Resend, Twilio, and OpenAI-related tools, and can be run directly or installed as an agent skill.

Rapunzel is an open-source desktop app for managing agent sessions in a tree-style terminal interface. The README explains its purpose, install steps, launch commands, build instructions, and the core features: branchable terminal sessions, workspace persistence, and session management actions like rename, move, collap

A tool that analyzes local Claude Code logs to show where tokens, time, and cost go across a month of usage, including re-reading context, cache reads/writes, and subagent activity.

An essay arguing that the BEAM runtime and OTP primitives map well to agent workloads, especially long-lived personal-assistant agents with supervision, registries, and structured concurrency.

A curated learning roadmap for building production AI agents, covering OpenAI, Anthropic, MCP, harnesses, evals, memory, and safety. The README organizes the material into phases with exercises and a prioritized reading table.

A blog post about an experimental local LLM system where three qwen3.5:9b agents run autonomously, maintain stress states, self-modify capabilities, and coordinate through a shared OS-like layer.