temm1e
temm1e-labs/temm1e
TEMM1E is an autonomous AI agent runtime built in Rust designed to run persistently across multiple platforms with advanced memory, self-learning, and verification capabilities.
Overview
TEMM1E is an advanced, production-grade autonomous agent runtime implemented in Rust that operates as a persistent service across various interfaces like Telegram, Discord, and a local TUI. It features a sophisticated cognitive architecture comprising 14 self-learning layers, a self-growing code mechanism (Cambium), local model fine-tuning (Eigen-Tune), and a verifiable contract ledger (Witness) to ensure reliable and verifiable agent execution without self-marking fabrication.
Capabilities
- ▸Full computer use and desktop automation
- ▸Persistent multi-platform server mode (Telegram, Discord, Slack, WhatsApp)
- ▸Multi-layered memory management (Lambda and Engram memories)
- ▸Self-growing Rust code generation and compilation (Cambium)
- ▸Contract-based task verification and tamper-evident ledger (Witness)
- ▸Local model distillation and routing (Eigen-Tune)
- ▸Web search and browsing integration
Best for
Running a persistent, self-updating AI assistant on local servers or cloud infrastructure, Executing complex multi-step coding, refactoring, and testing tasks with strict budget and verification controls, Automating desktop workflows using full computer use capabilities and browser automation, Managing long-term cross-task memory and continuous user preference adaptation
Works with
実タスクにどれだけ役立つか(機能の豊富さ・用途の明確さ)。 — AIによるcapabilities/use-cases解析
実装・指示の品質。 — AIによるSKILL.md/README解析
リポジトリがどれだけ活発に保守されているか。 — GitHub 最終push日時の新しさ
ドキュメントの充実度・分かりやすさ。 — README/独自要約の情報量
危険・不審な挙動が無いか。 — AIによるセキュリティレビュー
ありふれたラッパーではない独自性。 — AIによる独自性判定
コミュニティの採用度。 — GitHub Stars/Forks(対数スケール)
対応AIエージェントの広さ。 — AIによる対応エージェント判定
ライセンス不明/制限あり(Red)のSkillは総合スコアに0.85倍の補正を適用します。 ランキングはこのScoreのみで決まり、広告で変わりません。 算出方法の詳細 →
Security considerations
The agent features high-privilege access including full computer control, shell execution, and file system modifications. Users should configure strict spending ceilings and review permissions when deploying in server mode.
Categories
Summary and analysis are original content generated by AI Skills Rank. The skill's source text is not reproduced here — view it on the linked repository.