#llm

Persistent memory for AI agents

Deterministic state engine for managing conversation state and constraints in LLM applications.

Build interactive AI agents in Elixir with OTP supervision, middleware composition, human-in-the-loop approvals, sub-agent delegation, and real-time Phoenix LiveView integration. Built on LangChain.

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

Run AI coding agents (Claude, Codex, Gemini …) unattended — auto-answer prompts, auto-retry on rate limits, and list/tail/steer every agent locally or from agent-yes.com

Self-hosted AI gateway and LLM proxy. OpenAI-compatible API for OpenAI, Anthropic, Gemini, Bedrock and 60+ providers, or serve vLLM/llama.cpp on your GPUs. Keys, budgets, guardrails, semantic cache, MCP

An enum representing various Semantic Kernel types.

Provides Gemini-specific registration extensions for KernelPoolManager, enabling integration with local LLMs via Semantic Kernel.

Provides Mistral-specific registration extensions for KernelPoolManager, enabling integration via Semantic Kernel.

Provides Azure OpenAI-specific registration extensions for KernelPoolManager, enabling integration with local LLMs via Semantic Kernel.

Model Context Protocol for WinDbg.

The glamourous AI coding agent for your favourite terminal 💘

The leaked Anthropic reasoning protocol. Running locally. Zero-drift coding with Strict Write Discipline and adaptive Claude Opus 4.8 thinking. Mythos

Identity, memory, and soul for AI agents. Runs standalone or as part of a TPS office.

A Go framework for the microagents architecture with dynamic discovery — specialized agents and tools that register their capabilities with a shared registry, find each other by logical name at runtime, and coordinate without a central conductor.

Profile PyTorch models for FLOPs and parameters, helping to evaluate computational efficiency and memory usage.

Storybook Addon for DTCG design tokens

Local context engine for AI coding agents. Routes tasks to relevant files, tests, rules, and skills, supports prompt caching, and builds compact context packs for Claude Code, Codex, Cursor, MCP, and more.

Método de agência orientado por IA, em PT-BR. Um maestro lê seu pedido e chama o agente certo. Fork independente do BMad Method.

yeaboi — AI Scrum Master in your terminal: sprint planning, standups, retros, planning poker, 1:1s and delivery reports for your team, plus cost, daily digests and security posture for the AI coding agents working alongside it.

Like Lighthouse for your agent harness - verify your CLAUDE.md/AGENTS.md, skills & hooks are real, then test and measure they actually work. Claude Code + Codex.

Fast, local-first web content extraction for LLMs. Scrape, crawl, extract structured data — all from Rust. CLI, REST API, and MCP server.

A Python client to interact with Arize API

TypeScript SDK for BlockRun — 41+ AI models, pay-per-call with USDC. OpenAI-compatible. Zero rate limits.

Open, self-hostable agentic runtime for organizations — durable, replayable agent sessions, human approvals, governed credentials and memory, running in managed sandboxes or on your own hardware. Apache-2.0.

Full Portkey Admin API MCP server

Power-SEO: AI-powered, enterprise-grade SEO toolkit for React - A modern & best alternative to Yoast, RankMath & AIOSEO for SPA and SSR applications.

Streamline your workflow with Lynkr, a CLI tool that acts as an HTTP proxy for efficient code interactions using Claude Code CLI.

MCP C++ SDK - Model Context Protocol implementation in CPP with enterprise-grade security, observability and connectivity.

A Go toolkit for building AI agents and applications across multiple providers. Unified LLM client, agent framework with handoffs, tool calling, streaming, structured output, MCP integration, and cost tracking.