KI-Agenten
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f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete…
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Anleitung ansehen →embabel-agent ist ein Open-Source-Projekt aus der Kategorie KI-Agenten von embabel (embabel/embabel-agent auf GitHub). Es hat 4.486 Sterne auf GitHub und 439 Forks, wird unter der Lizenz Apache-2.0 veröffentlicht und wurde zuletzt am 3. Oktober 2026 auf GitHub aktualisiert.
Agent framework for the JVM. Pronounced Em-BAY-bel /ɛmˈbeɪbəl/
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.
Specialized agents collaborate on bigger jobs.
Agents call real tools: browsers, terminals, APIs.
Benchmarks keep agent quality measurable.
Run agents on your infra with your keys.
Swap frontier models as better ones appear.
Traces show exactly what the agent did and why.
Download the source and move into the project folder.
git clone https://github.com/embabel/embabel-agent.git
cd embabel-agentEvery 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 embabel/embabel-agent with 439 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Apache 2.0 licensed — commercial use allowed with attribution.
Sandboxing, approval gates, and least-privilege credentials.
Builders exist, but code-first frameworks go further.
Model API bills dominate; self-hosted stacks cut that sharply.
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete…
Open-source AI penetration testing tool to find and fix your app’s vulnerabilities.
Open-source personal AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-agent, multi-model, mult…
A portable AI agent runtime for the JVM — write one @Agent, run it on any Java AI stack.
Serverless AI agent framework running on geo-distributed edge infrastructure.
Go framework for production agent systems: graphs, tools, memory, A2A, MCP.
Die anderen Projekte der Kategorie KI-Agenten mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls embabel-agent nicht das Richtige ist.
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.
Verwandte Projekte der Kategorie KI-Agenten im Katalog, die embabel-agent bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
Pydantic Logfire: Python and AI observability on OpenTelemetry — SQL-queryable traces, metrics, and logs
Memory-LanceDB-Pro gives OpenClaw agents hybrid search, smart extraction, and intelligent forgetting
M-flow is a bio-inspired cognitive memory engine for AI agents — a graph alternative to flat RAG
The Ruby-native AI framework. Chats, agents, tools, images, audio, and video through one consistent API, in plain Ruby or Rails.
LongMemory: local-first memory for AI agents with temporal truth, provenance, and hybrid recall
nono: zero-trust, zero-setup, zero-latency sandboxing and runtime security for AI agents
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.