Agno vs Pieces
A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.
Short answer: choose Agno if you want high-performance python framework for multi-agent systems (Supervised agent, freemium); choose Pieces if you want on-device ai long-term memory and copilot for developers (Copilot, freemium).
| Agno | Pieces | |
|---|---|---|
| What it is | High-performance Python framework for multi-agent systems | On-device AI long-term memory and copilot for developers |
| Type | framework | product-with-agents |
| Autonomy | Supervised agent | Copilot |
| Pricing | freemium | freemium · Free for individuals; Teams plan contact for pricing |
| Best for | developers, smb, enterprise | developers, smb, mid-market |
| Deployment | self-hosted, api | self-hosted, saas |
| Modalities | text, code, api, image | text, code |
| Models | model-agnostic, open-source | model-agnostic, gpt, claude, gemini, llama, open-source |
| Protocols | function-calling, mcp, rest-api | mcp |
| Integrations | OpenAI, Anthropic, Google, Ollama, pgvector, Qdrant | VS Code, JetBrains IDEs, Chrome, Cursor, Claude Desktop, GitHub Copilot |
| Capabilities | 4 documented | 5 documented |
Agno
- +Strong performance focus (fast instantiation, low memory) with a clean Python API
- +Clear path from prototype to production via the AgentOS runtime
- +Broad model, vector-DB, and tool coverage, all self-hostable
- -Python-only
- -Younger and smaller ecosystem than LangChain
Pieces
- +Local, on-device processing positioned as air-gapped and privacy-first (encrypted, with PII and API-key filtering per the vendor)
- +Cross-tool memory that spans IDEs, browsers, terminals, and chat apps, not just one editor
- +Works offline with local models and is model-agnostic (local Llama, plus GPT, Claude, Gemini)
- -Memory only captures while the app is running and is capped at a rolling ~9-month window
- -Copilot assists and recalls; it does not take autonomous actions on your behalf
Which should you choose?
Agno is high-performance python framework for multi-agent systems, best for developers, smb, enterprise. Pieces is on-device ai long-term memory and copilot for developers, best for developers, smb, mid-market. The right choice depends on the autonomy level you want, your existing integrations, and your budget, all compared above.
This comparison is generated from the sourced Agno and Pieces profiles. Open either profile to review its evidence and last-reviewed date.