Python

Ridge is a resource mesh for AI agents, with MCP, CLI, and Python access to local projects, Docker, SSH machines, and S3 storage. It focuses on delegated resource access, job coordination, and keeping artifacts out of model context.

Myli is a provider-neutral Python harness for multi-agent visual design workflows. It defines typed design specs, validates JSON candidates at runtime, supports tools and middleware, and can render candidates for visual review with event and trace reporting.

AetherGrid is a Python-based distributed compute orchestration project with API key auth, job lifecycle management, reconciliation, leases, and ADR-driven architecture notes. The snapshot shows a substantial repository with documentation, tests, Docker support, and detailed runtime and security decisions.

A ProtoLink example that stages autonomous agents in a fictional liability tribunal to study how agent-to-agent communication changes decisions, with replayable traces and HTML reports.

Open-source Python library that lets developers integrate an LLM into the Python runtime so missing attributes, methods, and typed values can be inferred on demand with confidence scores.

Banksia is an open-source Python project for building and running accountable AI teams. The repo shows a CLI install flow, a local console, workflow studio, run monitoring, and support for reusable teams and durable state.

OpenSmith is a local-first, open-source alternative to LangSmith for tracing Python LLM pipelines. It supports decorators, context managers, console output, autopatching, CLI commands, local SQLite storage, and optional Postgres and OpenTelemetry integrations.

Python toolkit for building LLM agents with MCP servers, skills folders, memory, streaming, and metrics support.

Local-first governance layer for AI systems that monitors prompts and responses to block secrets, PII, and runaway LLM spending before requests leave the machine.

Python library for managing LLM conversation history with cache-friendly message ordering, dynamic context, and compaction.

A Python filter layer for LLM apps that evaluates responses against a Lean-verified Scherf logic backend and can pass, flag, correct, or block output.

Peers is a Python-based multi-agent coding substrate that coordinates Claude Code, Codex, and other CLIs to work together on coding, research, debugging, and repo audits with measurable convergence checks.

Open-source Python DDoS traffic monitor that prints live traffic stats to stdout and can output JSON for pipelines and tooling.

relaxAI is a UK sovereign LLM inference API with OpenAI-compatible endpoints and official SDKs for Python, TypeScript, and Go. The docs page covers installation, REST usage, and links into models, pricing, authentication, and endpoint sections.

Local-first long-term memory engine for AI agents with MCP, HTTP API, CLI, and Python usage. The page shows installation paths, IDE integrations, ingestion sources, and a live feature set focused on durable context, retrieval, and privacy.

FastAPI backend for the Brush Up tutor app. It retrieves from a markdown note corpus, expands context through graph neighbors, and calls Anthropic to generate grounded programming help for Python, Ruby, and JavaScript.

GitGalaxy is a Python-based static analysis and knowledge graph engine for deep repository intelligence. It maps codebases at the function level, supports 50+ languages, runs locally, and exports JSON and SQLite for querying and AI-agent workflows.

A repository that decodes braille music notation into a performance of Gottschalk’s Grande Tarantelle, with Python scripts to parse the score, generate MIDI, and render audio.

A read-only CLI for querying Kibana/Elasticsearch logs, with a companion agent skill and MCP server for AI assistants.

JarvisCore is a Python framework for building distributed multi-agent systems with peer-to-peer discovery, crash recovery, zero-trust credential handling, shared memory, and built-in observability.

A small Python CLI that hooks into Claude Code to gradually increase target-language usage during chat sessions, with monitoring, ramp policies, help modes, and a pause/kill switch.

Reference implementation for using Linux Pressure Stall Information to trim an LLM KV cache under memory pressure. The repo includes requirements, basic usage commands, a simulator, a llama.cpp runner, and benchmark scripts with example results.

A macOS SwiftBar plugin that shows Claude Code quota gauges in the menu bar, with per-account usage, reset timers, and a dropdown with detailed limits.

A Python MCP server that lets a parent LLM delegate work to named sub-agents defined in YAML, with per-agent prompts, model settings, and downstream MCP tool access.