Search results for "python"
Framework for AI Backend. Build and run AI agents like microservices - scalable, observable, and identity-aware from day one.
⚡️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
The ultimate LLM/AI application development framework 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
Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
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
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.
Container-free, deny-by-default sandbox for AI coding agents. Kernel-enforced filesystem, network, and syscall isolation for Linux and macOS
mkdir beats vector DB. B-tree NeuronFS: 0-byte folders govern AI — ₩0 infrastructure, ~200x token efficiency. OS-native constraint engine for LLM agents.
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
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.
Vision/Mission https://ambient-code.ai : Virtual team management and collaboration platform. User guides: https://ambient-code.github.io/platform/
Agent Sandbox is an E2B compatible, enterprise-grade ai-first, cloud-native runtime environment for AI Agents. Allows Agents to securely run untrusted LLM-generated Code, Browser use, Computer use, an
One API for 25+ LLMs, OpenAI, Anthropic, Bedrock, Azure. Caching, guardrails & cost controls. Go-native LiteLLM & Kong AI Gateway alternative.
Artifical Ecology For Thought and Emergent Reasoning. The Colony That Builds With You.
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,
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
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 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
Zero-dependency Web Application Firewall in Go. Single binary. Three deployment modes. Tokenizer-based detection.
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.
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)
Autonomous local AI assistant in Go — 40+ tools, 20+ LLM providers, multi-agent orchestration, self-improving