Potpie is an AI-native SDLC automation platform. It maps how systems work into a context graph and runs AI agents on it inside the user's own VPC, according to the page. The documentation page describes creating and updating documentation from connected product knowledge.
piia-engram
piia-engram is described as a local-first AI memory that can be seen, edited, and overridden. It is portable across Claude Code, Codex, Cursor, Windsurf, and other MCP coding tools. The project presents a user-owned identity layer stored in local files.
Platforms
- portable across Claude Code, Codex, Cursor, Windsurf Source: github.com
Links
Tags
-
0Potpie is an AI-native SDLC automation platform. It maps how systems work into a context graph and runs AI agents on it inside the user's own VPC, according to the page. The documentation page describes creating and updating documentation from connected product knowledge.
-
0Metaflow is an open-source framework for building and managing ML, AI, and data science projects. It supports using Python libraries, orchestration workflows in Python, versioning, and scaling compute to the cloud, including GPUs. It was originally developed at Netflix and open-sourced in 2019.
-
0Enable your revenue team to deliver an exceptional buyer experience with account based sales and ABM automation powered by AI agent technology.
-
0AgentMail is an email provider built for AI agents. It offers real inboxes through an API, allowing users to create, send, receive, and search email messages via a REST API, intended for autonomous agents and agentic workflows. A free tier is available without a credit card.
-
0Epsilla is an agent-as-a-service platform for enterprises to build, deploy and manage custom AI agents without coding. It offers a no-code agent builder, RAG as a service, multi-tenancy, analytics and A/B testing, with SaaS, on-premise or private cloud deployment. The site also describes HarnessRouter, a unified Agent API for running multiple agent harnesses.
-
0Owlbot is an AI chatbot platform for building AI assistants from documents and websites. It supports deployment on a website, mobile app, WhatsApp, Slack or API, and cites sources in replies. The page states that no code is required and lists 12 LLM models and 95 languages.
Community notes
Reviews and discussion
No reviews yet
Be the first to share how this project worked for you.
Join the discussion
Sign in with a verified account to leave a review or join the discussion.
Sign in to review