Search results for "time"
Enterprise Security Data Pipeline Platform (SDPP) — Real-Time Threat Detection + Deeply Integrated LLM Agents
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
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 ♾️
⚡️ Open-source AI Gateway — Use any SDK to call 100+ LLMs. Built-in failover, load balancing, cost control & end-to-end tracing.
Agentic framework | Self-improving memory | Pluggable tool extensions | Sandbox execution
GoClaw - GoClaw is OpenClaw rebuilt in Go — with multi-tenant isolation, 5-layer security, and native concurrency. Deploy AI agent teams at scale without compromising on safety.
Lightweight CLI to build self-managing AI agent teams. Define roles, skills & projects in Markdown+YAML — agents run autonomously on a heartbeat schedule, talk to each other via inbox, and delegate ta
A modular MCP server that provides commonly used developer tools for AI coding agents
#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
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
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
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.
A community driven registry service for Model Context Protocol (MCP) servers.
LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm.
TiDB is built for agentic workloads that grow unpredictably, with ACID guarantees and native support for transactions, analytics, and vector search. No data silos. No noisy neighbors. No infrastructur
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.
Open-source Agentic AI framework in Go for building, orchestrating, and deploying intelligent agents. LLM-agnostic, event-driven, with multi-agent workflows, MCP tool discovery, and production-grade o
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.
Vision/Mission https://ambient-code.ai : Virtual team management and collaboration platform. User guides: https://ambient-code.github.io/platform/
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.
⚡️ Blazing fast LLMs API Gateway written in Go
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
A selective learning and memory substrate for agentic systems — typed, revisable, decayable memory with competence learning and trust-aware retrieval.
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
A fully autonomous (no human-in-loop) agentic based project design and coding machine
A lightweight, embeddable vector database library for Go AI projects.
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.
A tool supports OPENAI and other LLMs with Claude Skills, you can also use it as a subagent
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.
AI-powered meme coin trading bot for Solana and Base that automatically scans new tokens, detects honeypots, calculates win probability, executes trades. Built in Go with a multi-agent architecture, r
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.
Fluid, elastic data abstraction and acceleration for BigData/AI applications in cloud. (Project under CNCF)
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.
Run AI coding agents in hardened container sandboxes.
ZimaOS Blue - A Local-First Agent Runtime for Bold Builders. Out-of-the-Box, Open-Source, Universal, Vendor-Neutral
soulshack, an irc chatbot. openai/ollama/gemini/anthropic apis. basic shell tools and mcp server support.
Decentralized coordination protocol for autonomous agents
A minimal, lightweight structured data store designed for small applications, scripts and automation workflows. Built for simplicity, portability and low overhead.
A strongly-typed query builder and generic repository library
Multi-LLM agent orchestration TUI — parallel Claude/Gemini/Codex sessions, 126 MCP tools
Autonomous local AI assistant in Go — 40+ tools, 20+ LLM providers, multi-agent orchestration, self-improving
An open-source SSPM tool written in Go
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.
Self-hosted AI workflow orchestration server. Runs multi-phase LLM pipelines (Director → Architect → Implementer → QA) and delivers structured artifacts via PR, webhook, or bundle.
🚀 Process JSON data in batches with `llm-batch`, leveraging sequential or parallel modes for efficient interaction with LLMs.