head to head · open source
claude-mem vs LiteLLM
claude-mem has 94,145 GitHub stars, 8,309 forks, 186 open issues and last shipped 2 days ago. LiteLLM has 59,036 stars, 11,545 forks, 5,022 open issues and last shipped yesterday. claude-mem leads on adoption by 59% (94,145 vs 59,036 stars). claude-mem is written in TypeScript under Apache-2.0; LiteLLM is written in Python under a custom or non-standard licence. claude-mem has attracted 9% as many forks as stars, LiteLLM 20%. LiteLLM was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (anthropic), 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 | LiteLLM | |
|---|---|---|
| GitHub stars | ★ 94K | ★ 59K |
| License | Apache-2.0 | Custom / other |
| Written in | TypeScript | Python |
| Last push | 2026-09-17 | 2026-09-18 |
| Forks | ⑂ 8.3K | ⑂ 12K |
| 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 LiteLLM if
- You want the LiteLLM feature set and don't need the biggest community
- You prefer the Custom / other license terms
- Your stack matches Python
- You evaluated both and LiteLLM 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 LiteLLM
LiteLLM is an open source AI gateway that provides a unified interface to call over 100 large language model (LLM) providers—including OpenAI, Anthropic, Azure OpenAI, Amazon Bedrock, Google VertexAI, and vLLM—using the OpenAI compatible API format. It runs as both a Python SDK for direct integration and as a standalone proxy server for centralized, team or organization wide use.
read the full LiteLLM overview →
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Frequently asked questions
Is claude-mem or LiteLLM more popular?
claude-mem has 94,145 GitHub stars and LiteLLM has 59,036. claude-mem has the larger community by that measure.
Are claude-mem and LiteLLM free?
Both are open source. claude-mem is licensed under Apache-2.0, and LiteLLM has no licence declared in this registry. Both are free to self-host.
What is the difference between claude-mem and LiteLLM?
claude-mem is written in TypeScript and LiteLLM 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 LiteLLM?
Choose claude-mem if you want the larger community (94,145 stars) or its Apache-2.0 licence terms. Choose LiteLLM if its feature set, stack or Custom / other licence fits better. Both are self-hostable.