A minimal AI Agent runtime demonstrating tool calling, agent loops, context management, and extensible architecture.
#agent-runtime
49 posts
A terminal-native AI agent runtime built in Rust. Interactive chat, parallel agent orchestration, and autonomous supervision.
IntentusNet - Deterministic execution infrastructure for agent and distributed systems, enabling reproducible workflows, reliable intent rou...
Agent Platform for AI-Native Companies
The agent that learns how you decide - and proves it by never deciding for you. A local-first, loop-native runtime for a team of AI agents o...
Donmai is an open-source workflow runtime that runs, retries, and audits multi-step agent tasks on your machine. The same binary powers Rens...
Open-source managed-agent platform with Docker Compose local runtime/sandbox pools, sessions, vaults, SDK, CLI, and provider adapters.
Make AI coding agents safe to scale autonomously: assign work, cap spend, enforce policy, verify output, roll back failures, learn from loop...
Self-hosted gateway for Claude Code, Codex, Antigravity, Grok Build, OpenCode. Run AI coding agents on your own infra with a shared local-fi...
The agent that built it never leaves. A source-aware harness for every AI-built app — source-mapped build plugins, an MCP daemon, and a runt...
Structural security, governance and execution for AI agents: validate actions before they touch files, credentials, network, APIs, or money.
Self-hosted platform for MCP Apps and agent automations — tools, interactive UIs, scheduled runs, multi-agent delegation.