OnPanda – Steer LLMs and agents at the token level

Hacker News

I built onPanda – an interactive tool for token visualization & control, model inspection and data annotation. onPanda is designed for hackers, power users, curious minds, and engineers. Its UI is built for deep exploration and efficient data annotation. - The core loop is simple: hover over a token → click an alternative or edit freely → continue generation. You can edit every part of model output exposed by onPanda, including reasoning and tool calls. - Edit prompts directly, branch tool calls, and use a tree structure to record branch history. This makes onPanda useful for model inspection and prompt engineering. - Support multiple modalities, including images, video, and audio; use tool calls and connect MCP servers to perform tasks in real environments. - Connect popular harnesses such as Claude Code, Codex, and OpenCode to execute tasks. Explore and compare their tool sets, system prompts, skills, and memory mechanisms. - onPanda includes a built-in browser-agent, an agent that runs in the user's browser without installation. It uses the browser as its harness and provides JavaScript execution, information retrieval, interface interaction, multimedia I/O, local file access, and persistent memory. - onPanda stands for on-Policy Alignment Data Annotator. - As an annotation tool, onPanda efficiently labels on-policy data. Its token-level correction format also provides fine-grained supervision with precise positions and naturally paired positive–negative samples. - We believe these unique properties will make token-level correction a highly efficient and practical paradigm for future LLM alignment. - Our paper and benchmark for token-level correction: https://on-panda.github.io/research/ I have been building onPanda since Sept 2024, and it took two years for it to gradually enrich its functionality and ease of use. Any feedback and evaluation are welcome. Try it online (works on mobile): https://onpanda.diyer22.com/ GitHub repo for self-hosting: https://github.com/on-panda/on-panda Detailed introduction on X: https://x.com/diyerxx/status/2101020850405462041

Visit product View on Hacker NewsSep 18, 2026

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