Python

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

Windows desktop chat client for OpenRouter with streaming completions, model browsing, multi-session history, local storage, and PySide6 UI.

Python CLI wrapper for Jev that analyzes JSON, NDJSON, JSONC, and text logs with typed AI questions and confidence-aware answers.

A Python library that traces multi-step AI agent workflows and compiles repeated trajectories into deterministic, low-latency code with runtime guards and fallback to the original agent.

Ramanujan is a terminal-based multi-model agentic workbench for research in computational mathematics. It lets users chat normally, break down problems, survey literature, run parallel subagents, and produce a consolidated report with deterministic checking via SymPy and Z3.

A lightweight SQLite FTS5 memory layer and MCP server for Google Antigravity agents, with CLI tools for storing, searching, and syncing facts.

A Python tool manager for AI agents that uses an LLM-tools.txt registry to install, pin, describe, and execute tools with one predictable contract.

Python library that automates ChatGPT and Gemini through the web UI, using a real Chrome browser to send prompts, upload files, and return responses as Python objects.

Search2o is a Python package for running searchable AI agents inside an organization, with a REST API, bundled GUI, and support for self-hosted or vendor LLMs.

Public evaluation code for an Agent Memory Leaderboard, including answer-generation and scoring contracts for comparing LLM agent memory systems.

A side-pane companion for Claude Code that shows daily AI news and spaced-repetition concepts while the agent is working, then hides when it needs user attention.

A drop-in memory plugin for Hermes Agent that uses a pull-model episodic memory approach with real deletes and audit traces. It supports synchronous writes, trace logging, and Claude-backed summarization for on-demand recall.

Pull request adding TY25 support for moonshotai/kimi-k3 in TaxCalcBench through OpenRouter. The snapshot shows benchmark wiring, PDF handling details, saved outputs and evaluation reports, and regenerated charts/results for the full TY25 set.

Open-source personal AI companion that runs on your own machine, with persistent memory, background tasks, local voice, browser automation, and support for MCP and common personal data sources.

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.

AI agent that transpiles Python projects into native C binaries, with support for static builds, web app conversion, and automatic verification steps like compilation retries and valgrind checks.

Python framework for conversational social engineering detection using a finite state machine. The README says it tracks turn-by-turn signals like flattery density, give/ask ratio, escalation velocity, and scope mismatch, and exposes a simple `Xtra().analyze(turns)` usage example.

A lightweight open-source telemetry collector for agentic systems. It stores events in SQLite, serves a local dashboard, and provides HTTP endpoints to send and retrieve agent events.

Open-source Python project for execution-first multi-agent workflows built around YAML Charterfiles, runtime schema enforcement, and a boss-agent hierarchy. The README includes install commands, a short usage tour, and a small code example.

A research article describing an empirical runtime-monitoring approach for multi-turn LLM agents, backed by 3,175 runs across four benchmarks. It also points to an open-source implementation, state-harness, with Rust/Python support, LangGraph and CrewAI adapters, CLI tooling, and OpenTelemetry export.

An open-source Python project that uses a local 7B diffusion language model to make real-time Gymnasium decisions with zero training. The README shows install steps, a code example, and benchmark-style results across several environments.

A detailed tutorial that explains what agent tools are and walks through a basic set of implementation patterns for an AI agent in Python, including bash, file, search, edit, and web fetch tools.

A Python pipeline that ranks 1,000 Show HN posts with an LLM judge and TrueSkill, then compares estimated merit against Hacker News points.

A minimalist CLI LLM chatbot written in Python. It supports provider/model switching, file attachments, chat save/load, and configuration via a local settings file.