Agent Framework

XSAF is a small, fetch-native TypeScript framework for building secure AI agents. The page shows its core API, agent lifecycle, tool pipeline, MCP support, session handling, and offline testing story.

A Python framework for building AI agents as Python objects, with typed methods, stateful fields, and LLM-driven agentic methods. The repo includes installation steps, a quick start, examples, and notes on supported models and safety boundaries.

Open-source compiler that turns a SKILL.md into a typed, runnable agent harness. The page explains the architecture, the compile/run flow, and how it aims to make agent behavior more faithful across small, local, or frontier models.

Go packages for building agents in Go, with a streaming runner, tool dispatch, guardrails, compaction, provider adapters, and verified completion helpers.

A minimal Rust crate for building agentic workflows in applications, with ticket-based orchestration, tools, knowledge storage, schema validation, retries, budget policies, and multi-provider support.

Open-source agent harness that starts from a tiny loop, gives the model one exec tool, and stores the agent’s state and sessions inside its own directory. It includes setup commands, model configuration notes, and design rationale.

An architecture case study showing how a Slack-like app is built in pure Elixir with Jido agents, messaging, chat bridges, and Hologram UI.

Open-source codebase for building, deploying, and scaling AI agents across L1–L5 levels. The README shows a quick start, SDK installation, local dev setup, and a developer UI for running agents.