head to head · open source
Mem0 vs aihawk_mcp_server
Mem0 has 68,288 GitHub stars, 8,104 forks, 742 open issues and last shipped 4 days ago. aihawk_mcp_server has 32,357 stars, 4,739 forks, 2 open issues and last shipped 3 days ago. Mem0 leads on adoption by 111% (68,288 vs 32,357 stars). Mem0 is written in Python under Apache-2.0; aihawk_mcp_server is written in TypeScript under MIT. Mem0 has attracted 12% as many forks as stars, aihawk_mcp_server 15%. aihawk_mcp_server was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai-agents), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
← all 20902 open source comparisons
Side by side
| Mem0 | aihawk_mcp_server | |
|---|---|---|
| GitHub stars | ★ 68K | ★ 32K |
| License | Apache-2.0 | MIT |
| Written in | Python | TypeScript |
| Last push | 2026-10-30 | 2026-10-31 |
| Forks | ⑂ 8.1K | ⑂ 4.7K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Mem0 if
- You weight community size — 68K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick aihawk_mcp_server if
- You want the aihawk_mcp_server feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches TypeScript
- You evaluated both and aihawk_mcp_server fits your workflow better
About Mem0
Learn more · Join Discord · Demo 📄 Benchmarking Mem0's token efficient memory algorithm → New Memory Algorithm (April 2026) All benchmarks run on the same production representative model stack. Single pass retrieval (one call, no agentic loops) at a top 200 retrieval budget. Scores reflect Mem0's managed platform, which includes proprietary optimizations not available in the open source SDK; open source users should expect directionally similar gains but not identical numbers. What changed: Single pass ADD only extraction one LLM call, no UPDATE/DELETE. Memories accumulate; nothing is overwritten. Agent…
About aihawk_mcp_server
AIHawk is an anti detect browser and web browsing agent, open source, with an MCP server for coding agents: undetected, no captchas, no blocks. Tell it what you want in plain language. FEATURED IN Business Insider · TechCrunch · Semafor · Wired · The Verge · Vanity Fair · 404 Media Two ways to use this browser agent 1. From your assistant, over MCP Windows, in PowerShell: Linux: Then install it in your assistant. Claude Code: Codex: Gemini CLI: 2. Standalone: the web UI We bring the interface, you bring an OpenRouter key. Chat on the left, the live browser on the right. Windows, in PowerShell: Linux: Then open…
read the full aihawk_mcp_server overview →
More in AI & Machine Learning
Related comparisons
More AI Development Platforms projects
Compare either of these against the rest of the AI Development Platforms field.
Frequently asked questions
Is Mem0 or aihawk_mcp_server more popular?
Mem0 has 68,288 GitHub stars and aihawk_mcp_server has 32,357. Mem0 has the larger community by that measure.
Are Mem0 and aihawk_mcp_server free?
Both are open source. Mem0 is licensed under Apache-2.0 and aihawk_mcp_server under MIT. Neither carries a licence fee.
What is the difference between Mem0 and aihawk_mcp_server?
Mem0 is written in Python and aihawk_mcp_server in TypeScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Mem0 or aihawk_mcp_server?
Choose Mem0 if you want the larger community (68,288 stars) or its Apache-2.0 licence terms. Choose aihawk_mcp_server if its feature set, stack or MIT licence fits better. Both are self-hostable.