Pine AI
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openclaw-pine-voice
openclaw-pine-voice PublicOpenClaw plugin for Pine Voice — let your AI agent make real phone calls and get transcripts
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user-as-engram
user-as-engram PublicA user's facts become a few rows in a content-addressed memory table — not a rewrite of the model. Paper, code, data, and interactive site for "User as Engram" (arXiv:2606.19172).
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user-as-code
user-as-code PublicExecutable memory for personalized agents: represent a user's memory as typed Python state + constraints an interpreter can run, instead of retrieved text. Code, experiments, and reference implemen…
Python 4
Repositories
- principal-loyalty Public
Whose Side Is Your Agent On? PrincipalBench — a multi-turn benchmark and post-training methods (prompt scaffold + per-token-KL distillation) for multi-party principal loyalty in LLM agents.
19PINE-AI/principal-loyalty’s past year of commit activity - aoi Public
AOI: a model-agnostic perception layer giving computer-use agents adaptive video + audio perception with zero retraining, plus DynaCU-Bench (100 dynamic browser tasks). Paper + benchmark + code.
19PINE-AI/aoi’s past year of commit activity - user-as-engram Public
A user's facts become a few rows in a content-addressed memory table — not a rewrite of the model. Paper, code, data, and interactive site for "User as Engram" (arXiv:2606.19172).
19PINE-AI/user-as-engram’s past year of commit activity - programmable-kv Public
Models Take Notes at Prefill: KV Cache Can Be Editable and Composable (arXiv:2606.17107) — paper, code, results, and interactive companion.
19PINE-AI/programmable-kv’s past year of commit activity - latent-bridge-games Public
A learned continuous slow→fast latent channel for real-time game agents: frozen MiniCPM-o 4.5 (fast) + Qwen3-VL-8B-Thinking (slow), 33M-param bridge. The latent helps iff slow reasoning helps (T>F). Paper: arXiv:2606.24470
19PINE-AI/latent-bridge-games’s past year of commit activity - PreAct Public
PreAct: Computer-Using Agents that Get Faster on Repeated Tasks (arXiv:2606.17929). Compile successful runs into verified state-machine programs and replay them 8.5–13× faster with no per-step LLM calls.
19PINE-AI/PreAct’s past year of commit activity - user-as-code Public
Executable memory for personalized agents: represent a user's memory as typed Python state + constraints an interpreter can run, instead of retrieved text. Code, experiments, and reference implementation for the paper (arXiv:2606.16707).
19PINE-AI/user-as-code’s past year of commit activity - pine-mcp-server Public
MCP server for Pine Assistant — negotiate bills, cancel subscriptions, and more from Cursor, Claude Code, or any MCP client
19PINE-AI/pine-mcp-server’s past year of commit activity - pine-assistant-python Public
Python SDK & CLI for Pine Assistant — negotiate bills, cancel subscriptions, and resolve disputes programmatically
19PINE-AI/pine-assistant-python’s past year of commit activity
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