Ashpreet c15c55ea7d chore: align dev and demo setup environments (#10920)
## Summary

Local development and cookbook work need the same dependencies as demos.
Both Unix setup scripts now install local editable `agnoctl[dev]` and
`agno[demo]`, while keeping `.venv` for daily development and
`.venvs/demo` for dedicated demos.

- Remove `scripts/cookbook_setup.sh`; use `scripts/dev_setup.sh` for
cookbook development.
- Enable strict shell error handling, explicitly target the
environment's Python, and make clipboard failures non-fatal.
- Keep short activation commands relative to the repository root and
update contributor and agent instructions.

## Type of change

- [x] Bug fix
- [ ] New feature
- [x] Breaking change
- [x] Improvement
- [ ] Model update
- [ ] Other:

---

## Checklist

- [x] Code complies with style guidelines
- [x] Ran format/validation scripts (`./scripts/format.sh` and
`./scripts/validate.sh`)
- [x] Self-review completed
- [x] Documentation updated (comments, docstrings)
- [ ] Examples and guides: Relevant cookbook examples have been included
or updated (if applicable)
- [ ] Tested in clean environment
- [ ] Tests added/updated (if applicable)

### Duplicate and AI-Generated PR Check

- [x] I have searched existing [open pull
requests](https://github.com/agno-agi/agno/pulls) and confirmed that no
other PR already addresses this issue
- [x] If a similar PR exists, I have explained below why this PR is a
better approach
- [x] Check if this PR was entirely AI-generated (by Copilot, Claude
Code, Cursor, etc.)

---

## Additional Notes

### Validation

- `bash -n scripts/dev_setup.sh scripts/demo_setup.sh` and `git diff
--check`: passed.
- Isolated shell smoke checks for both retained setup scripts: passed
for successful setup, active-environment rejection, missing `uv`, and
installation failure. Successful runs also exercised paths with spaces,
failing clipboard commands, and preservation of the other environment.
- `uv pip install --dry-run --python .venv/bin/python -e
'libs/agnoctl[dev]' -e 'libs/agno[demo]'`: resolved 235 packages
successfully. This was a dependency-resolution check, not a fresh
install or a live demo run.
- `./scripts/format.sh`: passed. Its unrelated formatting edits were
reverted to keep this PR focused.
- `./scripts/validate.sh`: failed. The latest run reports 32 mypy errors
in 10 unchanged framework files in the current local environment,
including SQL adapters, public limits, Google model compatibility,
Anthropic, and AWS. The earlier run reported six errors. Other checks
passed during the latest run after formatting. Draft pending the
repository validation gate.

No existing development or demo environment was rebuilt. Windows setup
scripts are outside this change. Removing the cookbook script requires
callers to switch to `./scripts/dev_setup.sh`; any existing `agnoenv`
directory is left untouched. Dev setup now installs the larger demo
bundle, including for CI jobs that call it.

Related PR #8020 only quotes variables in an older version of
`dev_setup.sh`. The current base already quotes those installation and
removal paths; this PR addresses dependency parity, separate environment
roles, script removal, and setup error handling.
2026-10-09 22:13:18 +01:00
2024-02-12 21:05:49 +00:00
2026-08-24 18:19:42 +05:30
2025-09-09 15:39:09 +02:00
2025-01-30 20:50:59 +05:30
2026-07-14 22:55:34 +01:00

Build, run, and manage agent platforms.

Introduction

Agno is a framework and runtime for agent platforms. Build agents, run them as a service, manage your platform using a web UI.

  • Build your agent platform using the Agno SDK.
  • Run your agent platform using the AgentOS runtime.
  • Manage everything using the AgentOS UI.

Agno allows you to own your agent stack. Maintain control of your data, memory, and security posture (JWT-based RBAC), and turn your agent platform into a learning loop with simulations and usage data.

demo-os

Get started

Hand this prompt to your coding agent (Claude Code, Cursor, Codex):

Help me set up my agent platform.

Clone https://github.com/agno-agi/agentos-railway into a folder called
agent-platform, cd in, read the README, and follow the get started guide.

Your coding agent will set up your agent platform and run it locally using Docker, giving you a REST API for serving your agents, a Postgres database for storing your data and traces, an MCP server, and a control plane.

Deploying somewhere else? Use the same prompt but point it to a different repo. The starter templates are identical except for the deploy scripts: swap agentos-railway for agentos-docker, agentos-aws, agentos-gcp, agentos-azure, agentos-fly, agentos-render, agentos-modal, or agentos-helm.

Prefer to code by hand?

Features

  • Production API. 50+ endpoints with SSE and websockets to build a product on top.
  • Storage. Store sessions, memory, knowledge, and traces in your own database.
  • 100+ integrations. Connect to GitHub, Slack, Postgres, and more using pre-built toolkits.
  • Context Providers. Access live data from Slack, Drive, wikis, MCP, and custom sources.
  • Human approval. Pause runs for user confirmation. Block tools that require admin approval.
  • Observability. Monitor with OpenTelemetry tracing, run history, and audit logs.
  • Security. Get JWT-based RBAC and multi-user, multi-tenant isolation out of the box.
  • Interfaces. Expose your agents via Slack, Telegram, WhatsApp, Discord, AG-UI, A2A.
  • Scheduling. Cron-based scheduling and background jobs with no external infrastructure.
  • Deploy anywhere. Run on any cloud platform that runs containers. Docker, Railway, AWS, GCP.

Use Agno with your coding agent

Two options:

  1. Recommended: Add Agno docs as an MCP server. Add docs.agno.com/mcp to your favourite coding agent.
  2. Add Agno docs as an indexed source. In Cursor: Settings → Indexing & Docs → Add https://docs.agno.com/llms-full.txt. Also works in VSCode, Windsurf, and similar tools.

Read the full guide here.

Community

Contributing

See the contributing guide.

License

Agno is distributed under the Apache-2.0 license.

Telemetry

Agno sends a telemetry event per agent run so we know which model providers to prioritize. Prompts, messages, and outputs are never sent. Disable by setting AGNO_TELEMETRY=false.

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