Search results for "framework"
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.
⚡️ Open-source AI Gateway — Use any SDK to call 100+ LLMs. Built-in failover, load balancing, cost control & end-to-end tracing.
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
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.
♾️ 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 ♾️
Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
Generate OpenAPI 3.1 specs from Go source code via static analysis — zero annotations, automatic framework detection
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
A modular MCP server that provides commonly used developer tools for AI coding agents
Go framework for agentic AI app with MCP and built-in tools
Agentic framework | Self-improving memory | Pluggable tool extensions | Sandbox execution
trpc-agent-go is a powerful Go framework for building intelligent agent systems using large language models (LLMs) and tools.
Artifical Ecology For Thought and Emergent Reasoning. The Colony That Builds With You.
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 powerful multi-database server implementing the Model Context Protocol (MCP) to provide AI assistants with structured access to databases.
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 — 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
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.
A deterministic development harness for Claude Code — MCP workflow engine, enforcement hooks, YAML workflows, and multi-agent consensus (Claude + Codex + Gemini)
A fully autonomous (no human-in-loop) agentic based project design and coding machine
Decentralized coordination protocol for autonomous agents
Fluid, elastic data abstraction and acceleration for BigData/AI applications in cloud. (Project under CNCF)
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