#Agent-runtime
Showing 39 of 39 repositories tagged #agent-runtime, ranked by stars
The semantic deployment platform.
Multi-Agent Framework
The agent that remembers and learns.
The foundation layer for agentic intelligence.
Production-Ready MCP Server Framework • Build, deploy & scale secure AI agent infrastructure • Includes Auth, Observability, Debugger, Telemetry & Runtime • Run real-world MCPs powering AI Agents
Agents daemon that hides nothing
Open-source AI sandbox infrastructure with unified API for VMMs -- Firecracker, QEMU and libkrun.
Open-source self-hosted AI agent runtime and multi-agent framework for autonomous agent swarms. Agent memory, MCP tools, schedules, delegation, and 23+ LLM providers (Claude, GPT, Gemini, OpenRouter, Ollama). A practical Claude Code and LangChain alternative.
ClawLess — A serverless browser-based runtime for Claw AI Agents powered by WebContainers
Production-grade Go SDK for building AI agents with long-term memory, knowledge retrieval, and voice — runnable as a library, a daemon, or a real-time pipeline.
Deterministic safety solutions for probabilistic AI agents
Self-hosted Personal AI + agent runtime in .NET (NativeAOT-friendly)
Clouds Coder is a local-first coding agent platform centered on separating the CLI execution plane from the Web user plane, with Web UI, Skills Studio, resilient streaming, and long-task recovery controls.
🛡️The governance runtime for AI agents. Intercept actions, enforce guard policies, require approvals, and produce audit-ready decision trails.
AGI-oriented, hallucination-resistant AI coding runtime grounded in evidence, tools, memory, agents, and verification.
Agyn is an open-source Kubernetes-native runtime that moves AI agents like Claude Code and Codex from laptops to company infrastructure with the controls enterprises need.
CLI-first runtime for Codex, Claude Code, and AI agents to operate CAE solvers via plugins: COMSOL, Abaqus, Ansys.
Not another agent framework — an operating system for AI workforces. Autonomous agents coordinate, remember across sessions, review each other's work, and deliver while you sleep. One command. Zero dependencies. Manage your AI company from your phone.
Deploy a fleet of AI agents (OpenClaw, Hermes) on your machine in 10 minutes — use your ChatGPT subscription, no cloud bills. Open-source fleet manager with browser dashboard.
Top Open-Source AI Engineering Platform 2026 Qyvaria Kernel
A local workbench for agents doing continuous work across sessions, commands, human input, and external events.
Evidence-gated runner for Codex, Claude Code, OpenCode, and local coding agents. Routes tasks into scoped DAG lanes with replayable artifacts.
DataFoundry is an open-source AI workbench for data analysis, unifying data sources, knowledge, tools, and agent runtime into a governed workspace for interactive analytics.
An operating system built for AI agents — talk to your NixOS server instead of SSH-ing in. Typed, audited tool access with atomic rollback on every change. Research-grade; run it on a disposable box, not production.
Governance-as-Code for AI agents. Declarative constraints with deterministic enforcement. Provisioning Identity, Tool-based rules, Brokering Credentials & Ensuring safe deployment
The 30 MB open-source edge AI agent runtime. Run AI agents offline on Linux (Raspberry Pi, Jetson). GPIO, UART, MQTT as first-class nodes. Industrial protocols (OPC-UA, Modbus) on the roadmap.
A content-creation agent runtime for reproducible multimodal production — projects, workflows, skills, provenance.
Minimal agent runtime built with DSPy modules and a thin Python loop. Includes CLI, FastAPI server, and eval harness with OpenAI/Ollama support.
Brigade — Your personal intelligence, built enterprise-grade
Open-source AI agent runtime built in Rust. Define once, deploy isolated instances per tenant with built-in memory, encrypted vault, self-extending skills, cron, and multi-channel support.
OpenVitamin is a local-first AI execution platform that unifies Agents, Workflows, and multi-model inference into a single programmable system — designed for building real, production-grade AI applications.
The multi-agent work platform for local-first execution.
Local control plane for running AI agents with sandboxes, approvals, guardrails, credentials, and runtime health.
Rust-first, local-first multi-agent runtime with a desktop HUD, policy-gated tools, voice, and worktree-isolated coding agents.
Hermes Agent-focused architecture and runtime health checks
Turn domain experts into production AI agents.
Agent Platform for AI-Native Companies
Multi-model AI agent runtime. Define agents in YAML, connect 6 LLM providers, orchestrate with ReAct/Plan&Execute/Fan-Out/Pipeline/Supervisor/Swarm patterns, and deploy as REST/WebSocket API with RAG, memory, MCP tools, guardrails, and OpenTelemetry observability.
Subgrapher is a local-first semantic browser workspace where references become runnable memory apps with graph context, agent execution, and hybrid RAG + Telegram Remote.