Paperclip AI: Open-Source Agent Management Tool
Paperclip is an open-source application designed for managing AI agents at work, written in TypeScript. It recently had a fresh release, v2026.1005.0, indicating active development.
Open with sources →· 1.3K signals today · 105 sources
Every dot is a story, release, repo or paper. The closer to the centre, the higher its radar score. Hover the field, or read the list below.
Paperclip is an open-source application designed for managing AI agents at work, written in TypeScript. It recently had a fresh release, v2026.1005.0, indicating active development.
Open with sources →Moli, a Rust-based headless browser, has released version v1.1.17. It is designed for AI agents, emphasizing a lightweight, fast, and highly compatible approach. The project has garnered significant attention with over 18,000 stars on GitHub.
The alookai/alook repository provides a framework for creating "rooms" designed for collaboration between people and AI agents. It is built using TypeScript and has recently seen a new release, v0.1.51.
Unmute is a Go-based project that allows developers to define voice agents using YAML. These definitions are then compiled into production-ready code for platforms like Pipecat or LiveKit, enabling deployment anywhere.
Sibyl, a self-hostable knowledge graph, has released version 1.4.10. It provides cross-agent memory for AI coding tools like Claude Code, Codex, and Cursor, enabling shared knowledge across different agents.
Paperclip is an open-source application designed for managing AI agents at work, written in TypeScript. It recently had a fresh release, v2026.1005.0, indicating active development.
The nanocode repository provides an SDK for Frontier Embedded Agents, written in Rust. It recently had a fresh release, indicating ongoing development and updates.
The signals that moved closest to the centre overnight, each linked to its sources. Free, one click to leave.
105 active sources, 736 scans and 1.5K raw signals in the last 24 hours. Scores run 0–100 and combine reliability, freshness, novelty, technical importance, developer relevance, ecosystem signal and confidence. Low-confidence items stay off public pages. Read the methodology →