# infusius/masala > A research workspace where an AI agent works beside you: chat, files, PDFs and Jupyter notebooks in one dock, and the agent can create custom panes and apps when needed. - Magnitude: 0.4 out of 10 — Steady - Stars: 85 total · +0 stars today, ≈ 0 by evening - Star trust: star growth looks organic - Category: AI agents · Language: Python · License: MIT · Created: 2026-09-15 · Last push: 2026-09-15 - GitHub: https://github.com/infusius/masala · Page: https://gitnova.dev/en/r/infusius/masala ## Useful for - Run an agent to read and edit files in a workspace folder - Open PDFs, markdown and Jupyter notebooks beside chat in one window - Ask the agent for a literature review and open its result ## Why it’s here - The repository is 13 days old and already has 85 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Hacker News: “Show HN: Panel – A research workspace where the agent can build its own panes” — 54 points, 12 days ago. - Recent forks include notable developers: @mbrukman (390 followers). ## 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: 8 - Issues and pull requests: 0 - Watchers: 1 - Average over the last week: 0 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 0 ## Stars per day, last 16 days (oldest → newest, today is partial) 2026-09-13 … 2026-09-28: 0, 0, 52, 9, 9, 8, 1, 0, 3, 0, 0, 0, 1, 2, 0, 0 ## Magnitude by day, last 14 days 09-15 5.2, 09-16 5.1, 09-17 3.0, 09-18 2.4, 09-19 2.2, 09-20 1.2, 09-21 1.3, 09-22 1.4, 09-23 0.6, 09-24 0.6, 09-25 0.5, 09-26 1.0, 09-27 1.0, 09-28 0.4 ## Hacker News - Show HN: Panel – A research workspace where the agent can build its own panes — 54 points, 22 comments: https://news.ycombinator.com/item?id=49712621 ## More in this category 1. **vectorize-io/hindsight** — 9.2 · Breakout · AI agents · Python · +1,234 stars today, ≈ 2,786 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 2. **paperclipai/paperclip** — 8.9 · Breakout · AI agents · TypeScript · +898 stars today, ≈ 1,915 by evening 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. Full card: https://gitnova.dev/en/r/paperclipai/paperclip.md 3. **dzhng/jevgrep** — 7.5 · Early signal · AI agents · TypeScript · +219 stars today, ≈ 457 by evening A CLI for coding agents that finds relevant files and source excerpts in a repository from a question about code behavior. It uses Jev for relevance ranking and requires a Vercel AI Gateway, TypeSafe, or OpenRouter key. Full card: https://gitnova.dev/en/r/dzhng/jevgrep.md 4. **mvschwarz/openrig** — 7.1 · Early signal · AI agents · TypeScript · +204 stars today, ≈ 421 by evening OpenRig is a harness orchestrator for AI coding agents: a team of agents (Claude Code and Codex) is defined in YAML and booted with one command, turning scattered terminal sessions into a managed team with a lead agent. Full card: https://gitnova.dev/en/r/mvschwarz/openrig.md 5. **Contrastive-LM/CLM** — 6.2 · Peaking · AI agents · Python · +103 stars today, ≈ 225 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 --- 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 2026-09-28 13:02 UTC, updated every 30 minutes.