Search results for "prompt"
Framework for AI Backend. Build and run AI agents like microservices - scalable, observable, and identity-aware from day one.
The ultimate LLM/AI application development framework in Go.
LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm.
♾️ Private Agent Fleet with Spec Coding. Each agent gets their own GPU-accelerated desktop. Run Claude, Codex, Gemini and open models on a full private AI Stack ♾️
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.
The open agent control plane. Govern autonomous AI agents with pre-execution policy enforcement, approval gates, and audit trails. Works with LangChain, CrewAI, MCP, and any framework.
Artifical Ecology For Thought and Emergent Reasoning. The Colony That Builds With You.
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.
An open-source, cloud-native, high-performance gateway unifying multiple LLM providers, from local solutions like Ollama to major cloud providers such as OpenAI, Groq, Cohere, Anthropic, Cloudflare an
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.
Open-source AI coding agent. Desktop app, bring your own model. Writes code, browses the web, verifies its work. Apache 2.0.
Model Context Protocol (MCP) server for Kubernetes and OpenShift
A selective learning and memory substrate for agentic systems — typed, revisable, decayable memory with competence learning and trust-aware retrieval.
Run AI coding agents in hardened container sandboxes.
Mattermost Agents plugin supporting multiple LLMs
A deterministic development harness for Claude Code — MCP workflow engine, enforcement hooks, YAML workflows, and multi-agent consensus (Claude + Codex + Gemini)
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.
🛡 Enforce security policies, redact data, sandbox processes, and verify integrity for Model Context Protocol (MCP) server communication.
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
🚀 Streamline build and dev output by feeding logs directly into AI coding sessions using Model Context Protocol for seamless automation.
Convert any URL into LLM-friendly formats using a lightweight CLI tool for reading and searching web content efficiently.
An open-source SSPM tool written in Go