Pieces vs Tabnine
A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.
Short answer: choose Pieces if you want on-device ai long-term memory and copilot for developers (Copilot, freemium); choose Tabnine if you want privacy-first ai coding assistant with on-prem and air-gapped deployment (Copilot, subscription).
| Pieces | Tabnine | |
|---|---|---|
| What it is | On-device AI long-term memory and copilot for developers | Privacy-first AI coding assistant with on-prem and air-gapped deployment |
| Type | product-with-agents | product-with-agents |
| Autonomy | Copilot | Copilot |
| Pricing | freemium · Free for individuals; Teams plan contact for pricing | subscription · $39/user/mo Code Assistant; $59/user/mo Agentic (annual, reported) |
| Best for | developers, smb, mid-market | enterprise, mid-market, developers |
| Deployment | self-hosted, saas | saas, self-hosted, on-prem |
| Modalities | text, code | text, code |
| Models | model-agnostic, gpt, claude, gemini, llama, open-source | model-agnostic, proprietary |
| Protocols | mcp | mcp, function-calling, rest-api |
| Integrations | VS Code, JetBrains IDEs, Chrome, Cursor, Claude Desktop, GitHub Copilot | VS Code, JetBrains, Jira, GitHub, GitLab |
| Capabilities | 5 documented | 4 documented |
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
Tabnine
- +Strong privacy posture: zero code retention, on-prem and fully air-gapped options
- +Enterprise compliance (GDPR, SOC 2, ISO 27001) and bring-your-own-LLM
- +Context engine grounds completions and agents in your own codebase
- -Pricier than mainstream assistants, with no free agentic tier
- -Positioned almost entirely at enterprise/compliance buyers
Which should you choose?
Pieces is on-device ai long-term memory and copilot for developers, best for developers, smb, mid-market. Tabnine is privacy-first ai coding assistant with on-prem and air-gapped deployment, best for enterprise, mid-market, developers. The right choice depends on the autonomy level you want, your existing integrations, and your budget, all compared above.