Écriture
AI Novel Writing Assistant
面向长篇小说创作的 AI Native 开源系统，用 Agent、世界观、写法引擎、RAG 和整本生产工作流，帮助新手从一句灵感走到完整小说。AI-native engine for end-to-end novel creation — from idea to…
★ 3,1 k étoilesCustom (check repo)
Voir le guide →tradememory-protocol est un projet de agents IA open source, créé par mnemox-ai (mnemox-ai/tradememory-protocol sur GitHub). Il compte 1 423 étoiles sur GitHub et 168 forks, il est publié sous la licence MIT et a été mis à jour pour la dernière fois sur GitHub le 2 octobre 2026.
Tradememory-protocol — decision audit trail + persistent memory for ai trading, open-so...
Fetch the source code onto your machine.
Set up the Python environment the project needs.
Copy the sample config or env file and adjust it.
Start the app from the source directory.
Built around agentic trading for a focused workflow.
Built around ai agents for a focused workflow.
Built around audit trail for a focused workflow.
Built around claude for a focused workflow.
Inspect, fork, and modify every line of the code.
Run it on your own machine — no account lock-in.
Get the source on your machine.
git clone https://github.com/mnemox-ai/tradememory-protocol.gitSet up Python dependencies.
cd tradememory-protocol && pip install -r requirements.txtLaunch the application.
cd tradememory-protocol && python main.pyIt decision audit trail + persistent memory for AI trading agents. Outcome-weighted recall, tamper-evident SHA-256 chain with RFC 3161 anchoring, 20 MCP tools, giving you a working starting point you can run and adapt.
Yes — the code is open-source, so you can use and modify it without a license fee.
Clone the GitHub repository and follow the README; the typical flow is install dependencies, configure, and run.
It is primarily written in Python, so you will need that toolchain to build or extend it.
The GitHub repository is the hub: open issues for bugs and check the README and discussions for guidance.
面向长篇小说创作的 AI Native 开源系统，用 Agent、世界观、写法引擎、RAG 和整本生产工作流，帮助新手从一句灵感走到完整小说。AI-native engine for end-to-end novel creation — from idea to…
Create reusable templates and turn them into configurable workloads for homelabs and self-hosted infrastructure. Free and Open-Source.
High-performance In-browser LLM Inference Engine
Drop-in persistent memory infrastructure for AI agents and apps.
Self-evolving memory OS for LLMs and agents: persistent graph memory, hybrid retrieval, skill reuse.
Persistent memory layer for AI agents, backed by Markdown and Milvus.
Les autres projets de la catégorie Agents IA avec le plus d'étoiles du catalogue LibreAI — la sélection réaliste d'alternatives si tradememory-protocol ne vous convient pas.
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
Projets de la catégorie Agents IA proches dans le catalogue, les plus proches en étoiles de tradememory-protocol — continuez à explorer de part et d'autre.
Open source ETL/ELT you deploy on your own servers or cloud.
Zig code intelligence server and MCP toolset for AI agents.
Google's code-first TypeScript toolkit for building AI agents.
AI Assistant that’s easy to setup.
Agentic framework for long-horizon autonomous scientific discovery.
Governance and orchestration for AI agent fleets: declarative rules, verifiable runs.
Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.