Python

An OWASP incubator project that protects AI agent memory from prompt injection, secret leakage, and tampering. It includes a Python library, policy-based controls, benchmarks, and integrations for agent frameworks like LangChain and AutoGen.

A general-purpose MCP bridge for Ableton Live that lets AI agents inspect and control Live sets, create and edit clips, add tracks and devices, analyze audio and harmony, and work with Max for Live audio taps.

Local-first observability and evaluation layer for production forecasts. Captures forecasts, validates them, computes horizon-aware metrics, and serves a read-only local UI for comparing runs.

MLJAR Studio is a private AI data analysis workspace that runs locally, helps users explore data in natural language, generates and runs Python, automates machine learning experiments, and turns notebooks into shareable web apps.

An open-source 26M parameter function-calling model designed to run on very small devices, with a local quickstart, Python usage, and a playground for testing and finetuning.

A framework-agnostic checkpointing tool that helps AI agents resume work after context loss or session death. It saves goals, constraints, decisions, touched files, and token usage, then rebuilds a structured resume prompt for continuation.

A local-first Python tool that audits Git history to quantify rework in AI-generated engineering work, including PR correction rates, churn clusters, superseded work, and line survival.

Subarr is an open-source coordination layer for the *arr subtitle stack. It adds subtitle coverage tracking, audio-language verification, provider success tracking, queue management, Whisper tuning, and post-transcription quality checks for Bazarr/Subgen workflows.

A Python CLI that packages data science repositories and data-heavy project files into LLM-friendly prompts, with sampling for CSV, SQL, Excel, and notebooks.

A Python framework for building OAuth 2.0 authorization servers for MCP servers, with token storage, PKCE, device flow, introspection, and rate limiting.

Python package for recording real LLM API responses and replaying them in tests so LLM-driven code can run deterministically without live API calls.

Semble is a local-first code search tool for agents. It offers natural-language search, an MCP server, bash/AGENTS.md integration, and a Python API, with claims of faster indexing and much lower token usage than grep+read.

MakerChecker is a self-hosted governance layer for AI agents that enforces roles, approvals, and tamper-evident audit logs. The repo shows quickstart commands, a demo flow, and SDK/connectors for TypeScript, Python, and LangChain-style integrations.

An MCP server for SharkClean and SharkNinja robot vacuums that lets MCP clients start cleanings, target rooms, dock the robot, and check status. The repo also includes setup steps, authentication guidance, CLI commands, and notes on supported models and cloud backend behavior.

Nanocode is a terminal-based AI coding assistant written in Python. The repo shows CLI install and usage instructions, runtime commands, configuration options, supported providers, and a detailed description of its context and file-editing workflow.

A pure-Python LLM inference engine and server with CUDA/HIP/Metal code generation, OpenAI-compatible API support, built-in RAG, and multi-GPU backend support.

tokentoll is a GitHub Action and CLI that scans Python and JavaScript/TypeScript code for LLM API calls, estimates spend, and blocks pull requests when cost or model-policy thresholds are exceeded.

SLayer is an open-source semantic layer for AI agents and humans that sits between a database and downstream tools. It can auto-create data models from schema, compile natural-language-style queries into SQL, and be used through MCP, REST, CLI, or Python.

AutomatiQ is a Python CLI that records a browsing session and uses vision and LLM steps to generate a standalone HTTP-based automation script.

An open-source Python support agent that uses SynapCores as the agent brain for memory, retrieval, semantic tool routing, and generation. The repo includes a quick start, local Docker setup, example commands, and a traced demo of the agent loop.

Klent is an AI agent guardrails product that sits between agents and their tools, letting teams allow, deny, pause, rewrite, or redirect tool calls with policies, human approval flows, and audit trails.

Open-source harness for executable security regression testing of agentic applications and MCP-integrated systems, with scenario files, policy assertions, trace-based evaluation, and JSON output for CI or local use.

Autonomy is a self-directed AI agent framework under development by Bill Liu. The page describes a turn-based AgentLoop, managed action execution, beam-search candidate ranking, procedure skills, post-run learning, and event-sourced run history, with support for multiple AI providers and extensible toolsets.

Rudi is a Python tool for LLM memory management that replaces a growing chat transcript with a causal dependency graph, aiming to keep token usage flat across long sessions. The README shows benchmarking results, fold behavior, and example usage with get_slice, store_decisions, and run_turn.