LangGraph

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.

Understudy is a scenario-driven testing framework for AI agents. It simulates multi-turn users, records traces of messages and tool calls, and evaluates agent behavior with deterministic checks, optional LLM judges, and reports.

An OTP-native Elixir library for building AI agents, durable LLM workflows, retrieval pipelines, and production LLM services.

Self-hosted AI coding agent platform for GitLab built with LangGraph. It reviews merge requests, resolves issues or tasks, and offers a GitLab-aware chat assistant with persistent project context.

An AI-powered GitHub Action that reviews pull requests with multi-agent analysis, AST-based line verification, and duplicate suppression.

Mirrors is a staging and replay environment for AI agents. It rebuilds the systems an agent calls, replays real sessions against prompts, tools, and model changes, and surfaces regressions before deployment.

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.

Deliberate is an SDK and proxy that records the alternatives an AI agent considered, what it rejected, and why, with replay, policy gates, approval workflows, and exportable decision logs.

A LangGraph-based workflow that generates, benchmarks, validates, and iterates CUDA kernels using a C++/CUDA harness. It targets workload-specific optimization with support for NVIDIA research lookup and optional Nsight Compute profiling.

Open-source runtime action grounding framework for AI agents. It verifies proposed agent actions against live systems of record before execution and can return allow, hold-for-human, or block decisions.

INFINI is an open-source portable agent loop spec and reference implementation for defining workflows in a Loopfile and running them across engines. The repo includes a CLI, mock-mode execution, trace comparison, audit checks, and a prototype UI.

A Python framework for local document search that replaces traditional embedding-based RAG with BM25 indexing, Meilisearch, and an agent loop for search, fetch, and citation-backed answers.

CacheCore is an agent infrastructure tool that sits between LLM clients and the API to cache exact and near-identical prompts, cutting repeat calls and latency. The page shows OpenAI-compatible integration, support for common agent frameworks, and use cases for RAG and multi-agent workflows.

An autonomous daily briefing that reads Spanish news from 18 outlets, clusters stories by topic, and compares how left, center, and right sources frame the same events.

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.