Search results for "2"
β‘οΈAI 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-Onβ‘οΈ, supports Ch
#1 Terminal Benchmark 2.0 β AI that ships your tickets.
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.
LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.
Framework for AI Backend. Build and run AI agents like microservices - scalable, observable, and identity-aware from day one.
No description
Mattermost Agents plugin supporting multiple LLMs
ToolHive is an enterprise-grade platform for running and managing Model Context Protocol (MCP) servers.
An open-source Agent-first Identity and Access Management (IAM) /LLM MCP & agent gateway and auth server with web UI supporting OpenClaw, MCP, OAuth, OIDC, SAML, CAS, LDAP, SCIM, WebAuthn, TOTP, MFA,
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 Β΅s overhead at 5k RPS.
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
β‘οΈ Open-source AI Gateway β 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
The ultimate LLM/AI application development framework in Go.
Lightweight CLI to build self-managing AI agent teams. Define roles, skills & projects in Markdown+YAML β agents run autonomously on a heartbeat schedule, talk to each other via inbox, and delegate ta
Run a fleet of AI agents on Kubernetes. Administer your cluster agentically
A modular MCP server that provides commonly used developer tools for AI coding agents
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
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.
The operational layer for coding agents. Memory, validation, and feedback loops that compound between sessions.
LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm.
Container-free, deny-by-default sandbox for AI coding agents. Kernel-enforced filesystem, network, and syscall isolation for Linux and macOS
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 β 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 β 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.
The Go client for Chroma vector database
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.
A selective learning and memory substrate for agentic systems β typed, revisable, decayable memory with competence learning and trust-aware retrieval.
mkdir beats vector DB. B-tree NeuronFS: 0-byte folders govern AI β β©0 infrastructure, ~200x token efficiency. OS-native constraint engine for LLM agents.
ToolHive's registry catalog of MCP servers
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
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
Command-line tool for debugging MCP servers
A tool supports OPENAI and other LLMs with Claude Skills, you can also use it as a subagent
Open-source AI coding agent. Desktop app, bring your own model. Writes code, browses the web, verifies its work. Apache 2.0.
OasisDB: A minimal and lightweight vector database
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.
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
OpenClaw. open claw. Alternative to openclaw. WhatsApp bot. Telegram bot. Slack bot. Desktop bot. Whatsappbot,telegrambot,slackbot, consolebot,clibot,mcpbot
Fluid, elastic data abstraction and acceleration for BigData/AI applications in cloud. (Project under CNCF)
An open-source AI coding agent that lives in your terminal. Multi-provider, multi-channel, persistent sessions with git-like branching.
Decentralized coordination protocol for autonomous agents
Apache Arrow Flight clustered vector cache for high throughput Agent memory sharing
Run AI coding agents in hardened container sandboxes.
soulshack, an irc chatbot. openai/ollama/gemini/anthropic apis. basic shell tools and mcp server support.
Autonomous AI agent for Home Assistant with multi-model routing, persistent memory, and an OpenAI-compatible API
A deterministic development harness for Claude Code β MCP workflow engine, enforcement hooks, YAML workflows, and multi-agent consensus (Claude + Codex + Gemini)
Multi-LLM agent orchestration TUI β parallel Claude/Gemini/Codex sessions, 126 MCP tools
ZimaOS Blue - A Local-First Agent Runtime for Bold Builders. Out-of-the-Box, Open-Source, Universal, Vendor-Neutral
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 β autonomously.
Autonomous local AI assistant in Go β 40+ tools, 20+ LLM providers, multi-agent orchestration, self-improving
A strongly-typed query builder and generic repository library
Manage and automate tasks in Yandex Tracker using a robust MCP integration for efficient issue tracking and project control.
An open-source SSPM tool written in Go
Type-safe AI agents for Go. Suricata combines LLM intelligence with Goβs strong typing, declarative YAML specs, and code generation to build safe, maintainable, and production-ready AI agents.
π‘οΈ Enable secure, read-only SSH access for LLM agents to audit servers, run diagnostics, and inspect logs without risking data changes.
Self-hosted AI workflow orchestration server. Runs multi-phase LLM pipelines (Director β Architect β Implementer β 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.
π Process JSON data in batches with `llm-batch`, leveraging sequential or parallel modes for efficient interaction with LLMs.
Detect physical hits on your laptop and play audio responses using sensors in a lightweight, cross-platform binary.
π Streamline build and dev output by feeding logs directly into AI coding sessions using Model Context Protocol for seamless automation.
