Search results for "prompts"
Framework for AI Backend. Build and run AI agents like microservices - scalable, observable, and identity-aware from day one.
LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm.
The Maestro App Factory: a highly-opinionated multi-agent orchestration tool for app development that emulates the workflow of high-functioning human development teams using AI agents
A modular MCP server that provides commonly used developer tools for AI coding agents
Kelos - The Kubernetes-native framework for orchestrating autonomous AI coding agents.
mkdir beats vector DB. B-tree NeuronFS: 0-byte folders govern AI — ₩0 infrastructure, ~200x token efficiency. OS-native constraint engine for LLM agents.
A Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.
Artifical Ecology For Thought and Emergent Reasoning. The Colony That Builds With You.
trpc-agent-go is a powerful Go framework for building intelligent agent systems using large language models (LLMs) and tools.
The cognitive database. A new class of data storage. Not a vector store, not a graph DB, not a RAG wrapper. Ebbinghaus decay, Hebbian learning, and Bayesian confidence are engine-native primitives.
Model Context Protocol (MCP) server for Kubernetes and OpenShift
A minimal, lightweight structured data store designed for small applications, scripts and automation workflows. Built for simplicity, portability and low overhead.
A selective learning and memory substrate for agentic systems — typed, revisable, decayable memory with competence learning and trust-aware retrieval.
A deterministic development harness for Claude Code — MCP workflow engine, enforcement hooks, YAML workflows, and multi-agent consensus (Claude + Codex + Gemini)
A fully autonomous (no human-in-loop) agentic based project design and coding machine
Type-safe AI agents for Go. Suricata combines LLM intelligence with Go’s strong typing, declarative YAML specs, and code generation to build safe, maintainable, and production-ready AI agents.
Autonomous local AI assistant in Go — 40+ tools, 20+ LLM providers, multi-agent orchestration, self-improving
🛡️ Enable secure, read-only SSH access for LLM agents to audit servers, run diagnostics, and inspect logs without risking data changes.
Manage and automate tasks in Yandex Tracker using a robust MCP integration for efficient issue tracking and project control.
A Slack bot and MCP client acts as a bridge between Slack and Model Context Protocol (MCP) servers. Using Slack as the interface, it enables large language models (LLMs) to connect and interact with v