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.
This comparison is generated from the sourced Pieces and Tabnine profiles. Open either profile to review its evidence and last-reviewed date.