agent infrastructure

Managed desktop environments for computer-use agents, with application monitoring, artifact checkpoints, and recovery controls. The page shows KiCad and FreeCAD support, an API/SDK, usage flow, pricing, and a quickstart example.

Aurra is memory infrastructure for AI agents, with bi-temporal versioning, source-cited memory history, and an automatic supersession feature that uses an LLM classifier to decide when new facts replace old ones.

Itsuki is an open-source memory layer for AI tools and agents. It offers a single key and structured, source-linked memories across assistants, coding agents, workflows, SDKs, REST, and MCP integrations.

Pier gives each coding-agent session its own cloud VM on the user’s AWS account, with parking, resuming, and repo setup built in.

Open-source email gateway for AI agents with SPF/DKIM verification, HMAC-signed delivery, webhook and WebSocket fan-out, plus CLI and SDK support.

Fast Rust MCP aggregator that exposes a small fixed tool surface for agents while semantically searching and calling tools across many downstream MCP servers. Supports SQLite-backed persistence, restart-safe embeddings, stdio and Streamable HTTP transports, plus a REST API for testing.

A self-hostable MCP endpoint that centralizes accounts, memory, skills, secrets, and access controls for AI agents. It supports multiple providers, profile-based permissions, audit logs, and deployment on your own machine or cloud.

Bourdon is a recognition-first memory runtime for AI agents, built to share memory across tools like Claude Code, Codex, Cursor, and others. The site shows install commands, product positioning, pricing, and several live field tests.

A curated GitHub resource list for production AI agent infrastructure, covering runtimes, sandboxes, tool protocols, security, observability, and evaluation.

Open-source persistent memory agent for AI coding tools and assistants. It supports local and cloud setups, integrates with several agent IDEs and CLIs, and offers remember, recall, and answer primitives for long-term context.

CacheCore is an agent infrastructure tool that sits between LLM clients and the API to cache exact and near-identical prompts, cutting repeat calls and latency. The page shows OpenAI-compatible integration, support for common agent frameworks, and use cases for RAG and multi-agent workflows.

A research post from Telem AI measuring cold-start latency across nine web-search APIs, with cache behavior, tail latency, and agent-query comparisons.

A detailed technical article describing PTCRunner’s approach to building a Clojure-like language, runtime, and preludes designed for LLM agents, with emphasis on security, feedback, introspection, and scaling.