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.

An open-source Python tool that controls AI agent loops using real-time convergence signals instead of a fixed max-iterations cap, with rollback and adapters for popular agent frameworks.

Looma is a local-first Python CLI that turns coding-agent history into resumable project context. It reconstructs work items, decisions, blockers, linked commits, and next steps from Claude Code, Codex, and Cursor sessions, with optional local LLM extraction and no cloud or API keys.

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.

A zero-dependency CLI that analyzes Claude Code and OpenAI Codex CLI logs to estimate token cost, cache hit rate, and savings opportunities.

CLI for maintaining agent-edited Markdown wikis and indexed knowledge bases, with commands for initializing, syncing, linting, searching, and reading wiki content.

Open-source package collection for BetterDB’s Valkey/Redis-based AI infrastructure, including semantic cache, agent memory, retrieval, monitoring, CLI, and an MCP server for assistants.

HALO is an open-source local debugger and optimizer for AI agent traces. It collects execution traces, analyzes recurring failure modes with an RLM-based engine, and feeds findings into a coding agent to improve the harness.

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.

fenic is an open-source Python framework for semantic DataFrames, letting you use LLM-powered operators like extract, classify, summarize, and embed inside query pipelines.

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.

A Python package and CLI for checking how closely an AI-generated answer reuses its source text, with support for verbatim matching, subsequence matching, quotation verification, and pipeline gating.

A local terminal UI for exploring AI coding spend across tools like OpenCode, Claude Code, Codex, GitHub Copilot, and more. It shows costs by month, day, project, session, and model, with drill-down views, heatmaps, exports, and a web browser mode.

A deterministic Python project for empirical law discovery in elementary cellular automata, with simulation, discovery, reproducibility guides, and published preprints.

A Python library that transpiles stateful imperative LLM workflows into optimizable DSPy programs, with typed outputs, self-correction loops, validation reporting, and prompt tuning support.

Recall is a local-first memory tool for Claude Code that logs sessions and generates a compact project summary offline, without sending data to an API.