Learn AI Agents step by step, from scratch - from function calling to agent loops to multi-agent systems, orchestration, and evaluation.
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Updated
Sep 16, 2026
Learn AI Agents step by step, from scratch - from function calling to agent loops to multi-agent systems, orchestration, and evaluation.
TypeScript interpreter for AI agents. Written in Rust. 2µs cold start. Sandboxed. Alternative to MCP tool calling.
CLI + Local MCP - A shared structured memory store across Claude Code, Cursor, Windsurf, Antigravity, and every MCP client. Semantically queryable.
AI Agent which can do any kind of Browser Automation Task & Web Scraping, just using a single prompt!
From-scratch voice agents in Python: end-to-end speech pipelines, runnable chapters, and a small shared library. Local models, explicit streaming behavior.
Pi coding agent extension for native Ollama — fixes tool calling under streaming
Deterministic observation-integrity contracts for AI-agent tool results. HTTP 200 is not an observation.
Force deterministic tool execution order in n8n AI Agents. No skipping, no hallucinated parameters.
Lightweight open-source toolkit for evaluating tool-calling AI agents on safety, correctness, and reliability
Hallucination Killer — MCP server that grounds LLM answers in live repo context and real-time docs
A high-performance, token-efficient AI Agent tool-calling library for .NET. Replaces JSON with TOON for token savings.
An advanced AI scheduling assistant powered by Gemini 2.5 Flash and Streamlit. Effortlessly manage your Google Calendar using natural language and a visual dashboard.
Pulse is an autonomous newsroom that discovers, curates, and publishes content entirely on its own. No human writers needed—just configure your editorial policy and let the AI agents do the rest.
Store and query shared structured memory across Claude Code, Cursor, Windsurf, and any MCP client with a local CLI and MCP server
Local-first Cognitive Execution Platform for Multi-LLM Orchestration, Autonomous Workflows, Persistent Memory & Offline Learning
Experimental low-overhead Rust agent harness for running tool-using agents across local and cloud LLM providers.
A grounded AI parts agent for HVAC technicians — GPT-4o tool-calling, deterministic compatibility checks (never guessed), photo-based part lookup, and voice replies.
A local policy gate for AI agent tool calls.
A minimal ReAct agent built with LangChain and LangGraph to understand how LLM agents work from first principles.
Mini B2B sales intelligence agent with explainable scoring, GPT-4o insights, and real actions (drafts outreach, updates records).
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