Sannya Singal
b53271584d
## Summary This PR adds HyDE retrieval strategy. A new hook, which changes what is searched for, so it needs somewhere earlier to sit: Knowledge(vector_db=..., query_transformer=HyDE(), reranker=CohereReranker()) `QueryTransform` mirrors `Reranker` - one method, sync and async, the async default running the sync one off the event loop. The transform changes the query the store receives; the reranker still scores against the question the caller asked, so relevance is judged on what the user wanted rather than on a stand in for it. `HyDE()` uses its own `model` if set, then the model of the agent or team that triggered the search, then the same OpenAI default the rest of the framework falls back to. `get_model_kwarg` offers it only to a callee that declares `model`. Unlike the owner kwarg, where a dropped `user_id` leaks data across users and `**kwargs` is worth the risk, this is an enhancement: a legacy `retrieve(query, **kwargs)` forwarding to a narrower search would raise on an argument it never asked for, and losing the transform is the lesser cost. ## Type of change - [ ] Bug fix - [ ] New feature - [ ] Breaking change - [ ] Improvement - [ ] Model update - [ ] Other: --- ## Checklist - [ ] Code complies with style guidelines - [ ] Ran format/validation scripts (`./scripts/format.sh` and `./scripts/validate.sh`) - [ ] Self-review completed - [ ] 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 - [ ] I have searched existing [open pull requests](https://github.com/agno-agi/agno/pulls) and confirmed that no other PR already addresses this issue - [ ] If a similar PR exists, I have explained below why this PR is a better approach - [ ] Check if this PR was entirely AI-generated (by Copilot, Claude Code, Cursor, etc.) --- ## Additional Notes Add any important context (deployment instructions, screenshots, security considerations, etc.) ---------
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.
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:
- Recommended: Add Agno docs as an MCP server. Add docs.agno.com/mcp to your favourite coding agent.
- 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
- (https://x.com/AgnoAgi): follow for releases and demos
- Newsletter: monthly updates on what's shipping
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.