#llm

A coding agent CLI that runs like an engineering org — role routing, plan DAGs, approvals, memory, and a 10-platform chat gateway. Apache-2.0.

A streaming action runtime for AI agents, model serving, and multimodal APIs

Self-improving context & memory for Claude Code and OpenAI Codex. One canonical knowledge store injected only when relevant — hooks push budgeted context, an MCP server serves depth on demand, and it learns lessons from your sessions. Agent memory + context engineering as a single static Go binary.

Save your Cursor monthly quota! Unlimited AI interactions in one conversation via MCP feedback loop.

Validate and retry LLM outputs for ruby_llm. Describe the JSON response you expect, fall back to a stronger model when the cheaper one fails the rules, and gate CI on regressions — all as one contract object per step.

Static LLM model metadata registry for Go apps: model IDs, aliases, providers, capabilities, tags, context windows, and localized descriptions.

Portable, provider-neutral model invocation contracts, adapters, and conformance tools

Monorepo for the Krova Cloud JS/TS packages — SDK, CLI, MCP, webhook verifier, n8n node.

3ds Max adapter for the DCC Model Context Protocol ecosystem

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Go agent runtime for tool-using, code-executing, multi-provider agents with MCP support, coding-agent CLI integrations, structured output, summarization, and parallel tool execution.

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An automation runtime AI agents can run, debug, and build for.

An open registry for discovering, verifying, and trusting AI agents.

TOON encoding for Laravel. Encode data for AI/LLMs with ~50% fewer tokens than JSON.

Self-hosted completion gate for coding agents: independent verification before done, durable evidence, CLI and local GUI.

Your agent test passed. Would it pass again? Checks whether AI agent test results are repeatable and varied enough to trust as a regression baseline. Reads Promptfoo and DeepEval runs you already have.

An Elixir SDK for Claude Code - provides programmatic access to Claude Code CLI with streaming message processing

An agent framework for Go with graph-aware memory, UTCP-native tools, and multi-agent orchestration. Built for production.

Model-agnostic multi-modality generation server with plugin discovery: OpenAI-compatible TTS, embeddings, and image generation. Drop a Python file in ~/.muse/models/ to add a backend.

Smart auto-mode for Claude Code. The safe alternative to --dangerously-skip-permissions.

PHP LLM client with support for cache, tools and async requests

Google Analytics 4 data to AI agents, agentic workflows, and MCP clients. Give agents analysis-ready access to website traffic, user behavior, and performance data with schema discovery, server-side aggregation, and safe defaults that reduce data wrangling.

Cache message store bridge for Symfony AI Chat

Cache platform bridge for Symfony AI

Clock AI tool bridge for Symfony applications.

Failover platform bridge for Symfony AI

Vectorless code retrieval for AI coding agents — search code by business intent (@intent, @domainRule) over a Tree-sitter graph. Built for MSA via MCP.

A type-safe-by-design, cost-limited virtual machine that enables the safe execution of untrusted code anywhere

Terminal trace debugger for AI agents.