Open-AutoGLM
An Open Phone Agent Model & Framework. Unlocking the AI Phone for Everyone
reactive-resumeは、reactive-resumeが公開しているオープンソースのAIエージェントプロジェクトです(GitHub: reactive-resume/reactive-resume)。GitHubスターは43,728、フォークは4,810で、MITライセンスの下で公開されています。GitHubでの最終更新は2026年10月3日です。
A one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today!
Research, coding, browsing, or ops — agents work best with a clear goal.
From no-code builders to code-first SDKs, match complexity to the task.
Web search, code execution, and APIs are what make agents useful.
Watch the trace, approve consequential actions, iterate.
A polished React interface makes the power approachable without touching code.
Runs on your own server — your data never has to leave your infrastructure.
Traces show exactly what the agent did and why.
Approval gates for actions that matter.
Long-term memory across sessions, not goldfish chat.
Specialized agents collaborate on bigger jobs.
Download the source and move into the project folder.
git clone https://github.com/reactive-resume/reactive-resume.git
cd reactive-resumeEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at reactive-resume/reactive-resume with 4,810 forks. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed — use it commercially, no strings attached.
For bounded tasks with supervision, yes. Fully autonomous money-moves still need guardrails.
Sandboxing, approval gates, and least-privilege credentials.
Builders exist, but code-first frameworks go further.
An Open Phone Agent Model & Framework. Unlocking the AI Phone for Everyone
Open-source framework for conversational voice AI agents
The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai
One portable, local-first memory layer for every AI agent - Markdown-native, user-owned and self-evolving.
A portable AI agent runtime for the JVM — write one @Agent, run it on any Java AI stack.
Secure persistent personal agent server in one Rust binary — sandboxed, multi-provider, on your hardware
LibreAIカタログに掲載されたAIエージェントプロジェクトの中で最もスターの多いもの — reactive-resumeが合わなかった場合に検討したい、現実的な候補リストです。
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.
カタログの中でreactive-resumeとスター数が近いAIエージェントプロジェクト — 前後の棚もそのまま見て回れます。
High-performance code intelligence MCP server: your codebase as a persistent knowledge graph
A fast browser-automation CLI built for AI agents.
The cloud-native vector database for planet-scale similarity search.
Build resilient agents
An open-source, privacy-first, self-hosted knowledge workspace where humans and AI agents work together 开源、隐私优先、自托管的知识工作空间,让人与智能体在此协作
Build, run, and manage full agent platforms — not just single agents.