head to head · open source
claude-mem vs Agently
claude-mem has 94,125 GitHub stars, 8,305 forks, 186 open issues and last shipped yesterday. Agently has 1,652 stars, 181 forks, 15 open issues and last shipped 6 days ago. claude-mem leads on adoption by 5,598% (94,125 vs 1,652 stars). claude-mem is written in TypeScript under Apache-2.0; Agently is written in Python under Apache-2.0. claude-mem has attracted 9% as many forks as stars, Agently 11%. claude-mem was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (claude), 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.
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Side by side
| claude-mem | Agently | |
|---|---|---|
| GitHub stars | ★ 94K | ★ 1.7K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | TypeScript | Python |
| Last push | 2026-09-17 | 2026-09-12 |
| Forks | ⑂ 8.3K | ⑂ 181 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick claude-mem if
- You weight community size — 94K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches TypeScript
- You value the larger contributor base for long-term maintenance
pick Agently if
- You want the Agently feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and Agently fits your workflow better
About claude-mem
claude mem is an Apache 2.0 TypeScript memory layer for AI coding agents that captures what an agent did during a session, compresses it with AI, and injects the relevant parts back into future sessions, built for developers running Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode and similar tools.
read the full claude-mem overview →
About Agently
Agently is a Python GenAI application development framework and AI application runtime framework. It lives in the AI and machine learning ecosystem, specifically in AI development platforms for agents and large language model services. The project targets teams moving from one successful model call to a reliable application backend with stable contracts, observable execution, and restart safe workflow boundaries.
read the full Agently overview →
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Frequently asked questions
Is claude-mem or Agently more popular?
claude-mem has 94,125 GitHub stars and Agently has 1,652. claude-mem has the larger community by that measure.
Are claude-mem and Agently free?
Both are open source. claude-mem is licensed under Apache-2.0 and Agently under Apache-2.0. Neither carries a licence fee.
What is the difference between claude-mem and Agently?
claude-mem is written in TypeScript and Agently in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, claude-mem or Agently?
Choose claude-mem if you want the larger community (94,125 stars) or its Apache-2.0 licence terms. Choose Agently if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.