typellm/typellm
TypeLLM: LLMs with type-safe generation.
01 / MACHINE INTELLIGENCE
Models you can run. Agents you can inspect. Tools you can build on.
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A practical guide to building enterprise AI agents across their full lifecycle.
JevChat-Windows:聊天窗口旁挂的回复辅助。窗口截图 + 本地离线 OCR 读对方消息 → Jev 判断意图 → 3 条候选一键填入,发送永远手动
The open-source Agent Gallery and Gateway for Codex, Claude Agent SDK, and OpenCode. Developers publish an Agent once behind one HTTP API; users run it in an isolated cloud sandbox—no local harness setup, compute, or runtime infrastructure.
Run Laya, the open-source Jev-compatible System-1 decision model, from Node.js / TypeScript via ONNX Runtime
Open-source Claude Code skills and Codex skills for AI-first work. Audit, re-engineer, and bootstrap projects with AI-first design principles.
Every agent's model. One place. Codex on DeepSeek, Claude Code on Kimi, from the menu bar.
Persistent, governed memory for chat clients, IDEs, & agents. Share memory across clients without losing scope, provenance, or auditability.
Multi-frontend agent relay: run Claude Code, Codex, local, and AG-UI agents from Discord or Microsoft Teams
A small, provider-neutral agent harness written in Rust
Train a Jev-like multimodal model by yourself. System One Model, now with vision.
Type a topic. Get a story.
Multi-agent harness that runs Claude Code and Codex together as one system
A living pixel-art station where real AI agents do real work. Local-first desktop agent harness - bring your own key, watch your crew actually run.
Open the project to explore the idea and the code.
Release package for SlopShape: Identifying AI-Generated Commercial Web Content (verification artifacts, instrument, prompts, code)
Memory, working state, heartbeat, and bounded autonomy for long-running AI agents.
Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue updating)
FrontierSmith, a new system that uses AI to synthesize open-ended coding problems at scale
OpenThai-SystemOne: open Thai + English System One decision model (0.8B, 256-way slot head, Apache-2.0)
AI goes multiplayer. A self-hosted workspace for people and machine people. Create, code, and work together across desktop, mobile, and web. Open source. MIT licensed.
Distributed 56M-parameter LLM inference across 3 ESP32-S3 boards via ESP-NOW , Split-PLE + KV cache, fully offline.
Open source local terminal cli with any LLM.
Rethinking On-Policy Distillation of Large Language Models II: One Training Example