# paperclipai/paperclip

> Open-source Node.js and React platform for orchestrating a team of AI agents: goals, org chart, budgets, tickets and audit. Suits teams running autonomous agents (Claude Code, Codex, Cursor, etc.) and wanting to manage them like employees.

- Magnitude: 8.3 out of 10 — Breakout
- Stars: 83,394 total · +419 stars today, ≈ 1,009 by evening
- Star trust: star growth looks organic
- Category: AI agents · Language: TypeScript · License: MIT · Created: 2026-03-02 · Last push: 2026-09-25
- GitHub: https://github.com/paperclipai/paperclip · Homepage: https://paperclip.ing · Page: https://gitnova.dev/en/r/paperclipai/paperclip

## Useful for

- Assign a business goal to agents and track tasks from one dashboard
- Set monthly budgets per agent to stop token overspending
- Connect several different agents and assign roles via the org chart

## Why it’s here

- 419 stars so far today, about 1,009 expected by the end of the day. The usual pace is 85 per day, so that's 12× as much.
- Over the last two days the pace is 16× that of the previous week and a half.
- The spike has held for 2 days in a row — not a one-off blip.
- GitHub Trending today: #1, +1,853 stars.
- GitHub Trending TypeScript today: #1, +1,853 stars.
- About 97 forks a day — people are taking the code.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 15,126
- Issues and pull requests: 13,769
- Watchers: 407
- Average over the last week: 438 per day
- Usual pace: 85 per day
- Latest release: v2026.916.1 (2026-09-21)

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-08-27 … 2026-09-25: 76, 74, 73, 75, 70, 74, 69, 81, 62, 46, 65, 82, 85, 86, 87, 71, 62, 71, 86, 80, 120, 70, 76, 85, 67, 96, 88, 64, 1660, 419

## Spotted in now

- GitHub Trending today: #1, +1,853 stars
- GitHub Trending TypeScript today: #1, +1,853 stars
- GitHub Trending this week: #12, +2,321 stars

## More in this category

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   A declarative orchestrator for running autonomous AI agent workloads in a cluster, using a Kubernetes-like model with Task, Workspace, Gateway, and Model manifests. It sandboxes agents, pre-wires their environment, and restricts network…
   Full card: https://gitnova.dev/en/r/google/ax.md
2. **vectorize-io/hindsight** — 7.8 · Breakout · AI agents · Python · +343 stars today, ≈ 860 by evening
   Hindsight is a long-term memory system for AI agents that stores facts and observations rather than just conversation history, reporting state-of-the-art results on the LongMemEval benchmark. It runs as a server (Docker, pip, Helm) or…
   Full card: https://gitnova.dev/en/r/vectorize-io/hindsight.md
3. **NandhaKishorM/laya** — 7.7 · Cooling · AI agents · Python · +451 stars today, ≈ 1,178 by evening
   Laya is a non-autoregressive decision engine that answers typed questions (choice, score, noul) over any state (text, email, ticket, JSON) in a single forward pass (~35 ms on GPU) with calibrated probabilities.
   Full card: https://gitnova.dev/en/r/NandhaKishorM/laya.md
4. **Contrastive-LM/CLM** — 7.6 · Early signal · AI agents · Python · +106 stars today, ≈ 335 by evening
   CLM is a class of System One language models trained contrastively to connect states and actions; the repo serves CLM-8B behind a TypeSafe-compatible API for fast agent decision-making.
   Full card: https://gitnova.dev/en/r/Contrastive-LM/CLM.md
5. **mikehasa/golive-skill** — 7.0 · Early signal · AI agents · TypeScript · +18 stars today, ≈ 238 by evening
   Agent Skill and Node CLI that takes an agent-built app live: hosting, database, domain, email and payments on your own accounts. Runs a detect → plan → approve → apply → verify cycle with no hosted backend or telemetry.
   Full card: https://gitnova.dev/en/r/mikehasa/golive-skill.md

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-09-25 12:24 UTC, updated every 30 minutes.