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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Open Agentic AI Platform - The home your agents deserve
| Date | Stars |
|---|---|
| 2026-07-31 | 313 |
| 2026-08-06 | 313 |
Today
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Momentum
60.0
growth rate 0.00%/day
# Evonic > **Design. Deploy. Orchestrate.** > *Your Models. Your Rules. Your Swarm.* Evonic is an **agentic AI framework** for designing, building, and orchestrating intelligent agents from concept to production. It empowers you to define every aspect of an agent — its **model**, **tools**, **knowledge base**, **channels**, and **skills** — and compose them into multi-agent systems that operate autonomously across distributed environments. **Full documentation:** [evonic.dev](https://evonic.dev) <p align="center"> <img src="static/img/mascot-large.png" alt="Evonic Logo" width="200"> </p> <p align="center"> <img src="static/img/evonic-web.jpg" alt="Evonic Web UI Screenshot" width="600"> </p> --- ## Three Core Differentiators Evonic is not just another agent framework. Three architectural decisions set it apart: ### 1. Workplace — Anywhere Execution Agents are not tied to a single machine. A **Workplace** is a first-class execution environment that can be: - **Local** — sandboxed workspace on the host machine - **Remote** — SSH servers, edge devices, or any machine with network access - **Tunnel** — lightweight Evonet connector that requires no public IP, no SSH, and no firewall rules This means your agents can operate across your entire infrastructure — development laptops, production servers, and cloud instances — with a single abstraction layer. ### 2. Agent-to-Agent Communication Communication between agents is a first-class protocol, not an afterthought. Agents can message, delegate, and coordinate with each other natively. This enables: - **Multi-agent swarms** where each agent has a distinct role and toolset - **Hierarchical orchestration** with supervisor agents managing worker agents - **Peer-to-peer collaboration** for complex multi-step workflows Each agent maintains its own identity, state, and capabilities, making swarm intelligence a natural pattern rather than a bolt-on feature. ### 3. Heuristic Mal-activity Detection System Safety is not optional. Every action an agent takes is inspected through a real-time, multi-layer heuristic detection system that identifies and blocks dangerous patterns before execution. The system monitors for: - Mass file deletion and privilege escalation attempts - Unauthorized remote code execution - Behavioral drift beyond expected action boundaries When suspicious activity is detected, the system escalates to a human operator rather than blindly executing — giving you a safety net that enables genuine agent autonomy without compromising security. --- ## Key Features | Feature | Description | |---------|-------------| | **Agents** | Independent, LLM-powered assistants with custom tools, knowledge bases, and isolated workspaces | | **Models** | Pluggable LLM backends — any OpenAI-compatible API, local or cloud | | **Skills** | Installable packages that bundle tool definitions with Python backends | | **Plugins** | Event-driven extensions for custom integrations and background workers | | **Workplaces** | Execution environments: local directories, SSH servers, or tunnel devices via Evonet | | **Evonet** | Lightweight Go connector for remote execution without SSH or firewall rules | | **Scheduler** | Cron-based triggers, recurring tasks, and reminders for agents | | **Channels** | Connect agents to Telegram, WhatsApp, Discord, Slack, and custom interfaces | | **Knowledge Graph** | Interactive force-directed graph visualization of KB documents with wiki-link connections, thumbnails, search, and node type filters | | **KB Organizer** | Autonomous sub-agent that extracts entities, deduplicates documents, and maintains wiki-link connections across the knowledge base | | **Memory Engine** | Hybrid semantic + knowledge graph search (Evomem) for long-term memory with per-agent configuration | | **Wiki-Links** | Obsidian-style `[[Doc Title]]` links in KB documents and chat messages, rendered as clickable previews | | **Messaging ACL** | Per-agent whitelist/blacklist ac
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:47ecc3972402d646, llm:Repository description: 'Open Agentic AI Platform - The home your agents deserve' (an agentic AI platform). Language: Python. No topics provided.
matched fp:47ecc3972402d646, llm:Repository description: 'Open Agentic AI Platform - The home your agents deserve' (an agentic AI platform). Language: Python. No topics provided.
matched fp:47ecc3972402d646, llm:Repository description: 'Open Agentic AI Platform - The home your agents deserve' (an agentic AI platform). Language: Python. No topics provided.