Clone a template, deploy to your cloud, and use coding agents like Claude Code to build and improve agents on top.Documentation Index
Fetch the complete documentation index at: https://docs.agno.com/llms.txt
Use this file to discover all available pages before exploring further.
Agent Platforms
Infrastructure starters for building your own agents. Pick where you want to run, then add your agents on top.Docker
Run locally or self-host anywhere Docker runs.
Railway
One-click cloud deployment. Best for getting started.
AWS
Full control with infrastructure-as-code.
| Platform | Best for | You manage | Cost |
|---|---|---|---|
| Docker | Local dev, self-hosted production | Everything | Free |
| Railway | Fast cloud deployment, small teams | Just code | ~$20/mo |
| AWS | Enterprise deployments, full control | Infrastructure-as-code | ~$75/mo |
Apps
Pre-built agent systems with self-learning, context retrieval, and production infrastructure already wired up. Clone the repo, configure your data sources, and you’re running.Dash
Self-learning data agent. Connects to your databases, learns your schema, improves with every query.
Scout
Company intelligence agent. Navigates Slack, Drive, and wikis to answer questions.
Coda
Code companion. PR reviews, issue triage, architecture questions. Lives in Slack.
PAL
Personal agent that learns. Knowledge base, wiki, and structured data that compounds.
Gcode
Self-improving coding agent. Persistent workspace, git-based isolation, full audit trail.
What’s Included
Each app ships with capabilities that typically take weeks to build:| Capability | What It Does |
|---|---|
| Self-learning | Agent improves from feedback. Every conversation makes the next one better. |
| Context retrieval | RAG, knowledge graphs, multi-source navigation. Grounded answers, not hallucinations. |
| Production infrastructure | PostgreSQL, pgvector, webhook endpoints. Deploy to Docker, Railway, or AWS. |
| Interfaces | Slack, Telegram, WhatsApp ready. Add more with a few lines of config. |
Improving Your Agents
Each app includes tools for iterating on agent quality:| App | Improvement Tools |
|---|---|
| Dash | Automated improvement loop (python -m evals improve) |
| Scout | Probe library with /loop support |
| Coda | Eval suite for routing and synthesis |
| PAL | Smoke tests and behavioral evals |
| Gcode | LearningMachine for persistent context |