Project-based workspaces
Group chats, files, skills, schedules, and memory per project. Context stays where it belongs.
A local-first AI workspace for building a team of focused agents. Spin them up, give them skill packs and MCP servers, then delegate work in plain language.
Each project keeps its own chats, files, memory, schedules, skills, and integrations. Eggent gives non-technical users a simple front door to agentic work.
Group chats, files, skills, schedules, and memory per project. Context stays where it belongs.
Agents reach for the right skill pack for the job. Bundle company playbooks and workflows.
Agents remember across sessions and work with documents inside a project knowledge base.
Connect tools and data sources through MCP. Agents discover capabilities and use them when needed.
Schedule recurring tasks to any agent. Results land back in the chat thread.
Create a cloud workspace from Telegram, then keep talking to the same Eggent bot on the go.
$ curl -fsSL https://get.eggent.ai | bash# installs Docker if missing# keeps runtime state in ./data→ waiting for GET /api/health …✓ ok http://localhost:3000$
No Docker, no server, no model key required. Start with managed Eggent AI, then switch to your own provider whenever you want.
Eggent keeps the product surface simple while letting power users wire in files, schedules, MCP, memory, and custom skills behind the scenes.
Use the browser or Telegram bot. Pick a workspace name, email login, and password.
Drop files into projects, add skill packs, and connect tools your agent can use.
Ask for research, code, documents, checklists, reports, or recurring automation.
Return from web or Telegram. Eggent preserves project chats, state, and memory.
Start hosted in seconds or self-host when you need full control.