Search results for "type"
A selective learning and memory substrate for agentic systems — typed, revisable, decayable memory with competence learning and trust-aware retrieval.
Framework for AI Backend. Build and run AI agents like microservices - scalable, observable, and identity-aware from day one.
A Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.
eBPF-based GPU causal observability agent
⚡️AI Cloud OS: Open-source enterprise-level AI knowledge base and MCP (model-context-protocol)/A2A (agent-to-agent) management platform with admin UI, user management and Single-Sign-On⚡️, supports Ch
Fastest enterprise AI gateway (50x faster than LiteLLM) with adaptive load balancer, cluster mode, guardrails, 1000+ models support & <100 µs overhead at 5k RPS.
♾️ 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 ♾️
Mendix cli tool, a headless way to work with Mendix projects. Enables Mendix projects for use with 3rd party agentic coding tools like Claude Code and Copilot. Includes a starlark linter for quality v
⚡️ Open-source AI Gateway — Use any SDK to call 100+ LLMs. Built-in failover, load balancing, cost control & end-to-end tracing.
The ultimate LLM/AI application development framework in Go.
A modular MCP server that provides commonly used developer tools for AI coding agents
All-in-one Kubernetes SDK: create, manage, and operate clusters across distributions (Kind, K3d, Talos, VCluster) with built-in GitOps, secrets, AI assistant, and MCP server. Only requires Docker.
#1 Terminal Benchmark 2.0 — AI that ships your tickets.
Nornicdb is a low-latency, Graph + Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and writes. Uses Neo4j Bolt/Cypher and qdrant's gRPC drivers so you can switch with no changes. T
A unified AI model hub for aggregation & distribution. It supports cross-converting various LLMs into OpenAI-compatible, Claude-compatible, or Gemini-compatible formats. A centralized gateway for pers
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a c
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.
Beads - A memory upgrade for your coding agent
LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm.
Generate OpenAPI 3.1 specs from Go source code via static analysis — zero annotations, automatic framework detection
MCP Toolbox for Databases is an open source MCP server for databases.
Design-first Go framework that generates API code, documentation, and clients. Define once in an elegant DSL, deploy as HTTP and gRPC services with zero drift between code and docs.
Privacy-first LLM proxy and AI gateway — load balancing, multi-provider routing, API key management, usage tracking, rate limiting. Self-hosted. Zero knowledge of your prompts.
A powerful multi-database server implementing the Model Context Protocol (MCP) to provide AI assistants with structured access to databases.
One API for 25+ LLMs, OpenAI, Anthropic, Bedrock, Azure. Caching, guardrails & cost controls. Go-native LiteLLM & Kong AI Gateway alternative.
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.
Model Context Protocol (MCP) server for Kubernetes and OpenShift
AI-native HTAP database with Git-for-Data and built-in vector search, serving as the data and memory backbone for intelligent agents and applications.
Security scanner for AI-generated ("vibe-coded") code. Runs SAST, DAST, and sandboxed exploit simulation across 15+ languages using 30+ tools. Catches what LLMs introduce before it ships — wit
Automatically generate server and client framework code based on descriptive files (proto/api/sql), while using built-in jzero-skills to empower AI to generate production-ready business code adhering
ToolHive's registry catalog of MCP servers
An API server that implements the official MCP Registry API, providing standardised access to MCP servers from multiple backends, including file-based and other API-compliant registries.
A lightweight, embeddable vector database library for Go AI projects.
MCP tool management and workflow proxy
Open-source, self-improving autonomous agent swarm🐇
mkdir beats vector DB. B-tree NeuronFS: 0-byte folders govern AI — ₩0 infrastructure, ~200x token efficiency. OS-native constraint engine for LLM agents.
High-performance zero-dependency L4/L7 load balancer written in Go. Single binary with Web UI, clustering, MCP/AI integration. 8.5K RPS, 39 E2E tests.
Zero trust LLM gateway. OpenAI-compatible proxy with semantic routing and load balancing across OpenAI, Anthropic, Ollama, vLLM, and any compatible backend. Identity-based access, virtual A
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
Your AI forgets everything between sessions. SAME fixes that. Local-first, no API keys, single binary.
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
A universal CLI for Weaviate, Milvus, Chroma, Qdrant, and other vector DBs to help view, list, create, delete, and search collections and documents in collections for development, test, and debugging
Zero-dependency Web Application Firewall in Go. Single binary. Three deployment modes. Tokenizer-based detection.
Artifical Ecology For Thought and Emergent Reasoning. The Colony That Builds With You.
Official Scrapfly MCP server for Cursor, Claude Desktop, and any MCP-compatible client. Enterprise-grade web scraping, AI extraction, and anti-bot–aware data access as first-class tools.
Apache Arrow Flight clustered vector cache for high throughput Agent memory sharing
Run AI coding agents in hardened container sandboxes.
Decentralized coordination protocol for autonomous agents
A deterministic development harness for Claude Code — MCP workflow engine, enforcement hooks, YAML workflows, and multi-agent consensus (Claude + Codex + Gemini)
A strongly-typed query builder and generic repository library
A minimal, lightweight structured data store designed for small applications, scripts and automation workflows. Built for simplicity, portability and low overhead.
A self-evolving coding agent written in Go. Reads its own source, decides what to improve, writes code, runs tests, and commits — autonomously.
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
An open-source SSPM tool written in Go
🛡 Enforce security policies, redact data, sandbox processes, and verify integrity for Model Context Protocol (MCP) server communication.
Self-hosted AI workflow orchestration server. Runs multi-phase LLM pipelines (Director → Architect → Implementer → QA) and delivers structured artifacts via PR, webhook, or bundle.
Convert any URL into LLM-friendly formats using a lightweight CLI tool for reading and searching web content efficiently.
Detect physical hits on your laptop and play audio responses using sensors in a lightweight, cross-platform binary.
🚀 Streamline build and dev output by feeding logs directly into AI coding sessions using Model Context Protocol for seamless automation.