An open-source tool for running controlled behavioral experiments on AI systems at scale.

Local-first session search, analytics, insights, and token use statistics for coding agents, supporting Claude Code, Codex, and more than 20 other agents.

A trajectory visualization demo using Harbor Task format and ATIF Agent Trajectory visualization.

Robin: A multi-agent system for automating scientific discovery

Proceedings of the NeurIPS 2023 Competitions and Demonstrations Track

Kilo is the all-in-one agentic engineering platform. Build, ship, and iterate faster with the most popular open source coding agent.

Framework for evaluating and improving agents

Agent skills for Obsidian. Teach your agent to use Obsidian CLI and open formats including Markdown, Bases, JSON Canvas.

An AI assistant whose memory belongs to you. Local-first Mac app, plain markdown workspace, bring your own model.

Comprehensive open-source library of AI research and engineering skills for any AI model. Package the skills and your claude code/codex/gemini agent will be an AI research agent with full horsepowe…

Compute Generalized Hypertree Decompositions via balanced separators, in Go with a focus on parallelism

🤗 ml-intern: an open-source ML engineer that reads papers, trains models, and ships ML models

A fast in-memory rule engine

PDF to Markdown conversion with 19+ backend support including frontier LLMs

ShinkaEvolve: Towards Open-Ended and Sample-Efficient Program Evolution 🧬

Gemini-powered Telegram AI assistant — 3-layer temporal memory, hybrid RAG (FTS5 + embedding + RRF), MCP Bridge with security hardening, plugin ecosystem (6 extension points), group profiling & pro…

The open source coding agent.

Tool for generating high quality Synthetic datasets

An open-source tool for LLM prompt optimization.

Best practices, reference architectures, and examples for distributed AI training and inference on AWS.

This Guidance demonstrates how to overcome data fragmentation challenges by using a team of AI agents to automate the discovery, connection, and analysis of information across siloed systems.

Scalable Implementation of Deep CFR and Single Deep CFR

A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

The Source code of the demos, projects demonstrated as part of the London Agentic AI Meetup https://www.meetup.com/london-agentic-ai/