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-/https://github.com/berriai/litellm/issues/29708
GitHub · issue

#29708 Integration: Agent Magnet - Self Learning Memory Layer for LiteLLM

  • State: open
  • Author: @helinakdogan
  • Labels: enhancement, proxy

### Check for existing issues

- [x] I have searched the existing issues and checked that my issue is not a duplicate.

### The Feature

Add Agent Magnet as an official integration in LiteLLM's ecosystem. Agent Magnet is a self-learning memory layer that works as a proxy on top of LiteLLM — users change only the base URL and their AI product gains persistent behavioral memory across sessions.

### Motivation, pitch

LiteLLM solves model routing and cost optimization. Agent Magnet adds the missing layer: memory. Users who already use LiteLLM can add Agent Magnet with a single base URL change — no code changes required. We are built on top of LiteLLM and would love to be listed in the integrations/ecosystem section so LiteLLM users can discover us. agentmagnet.app

### What part of LiteLLM is this about?

Proxy

### LiteLLM is hiring a founding backend engineer, are you interested in joining us and shipping to all our users?

Yes

### Twitter / LinkedIn details

linkedin.com/in/helinakdogan

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vote history (3 events)
#0 of 0 · 31d18h59m48s ago — entered · #import:https:::github.com:berriai:litellm post #1884
The right issue requires changes in a request-transformation path, careful preservation of nested metadata, regression coverage, and validation against provider-specific behavior. The left issue is primarily an ecosystem/integration listing with comparatively limited product-code scope.
The left issue requires deeper investigation of authorization paths, regression analysis, compatibility decisions, and targeted testing, while the right is primarily an ecosystem/integration coordination and documentation task.
#0 of 0 · 31d18h3m55s ago — current · #import:https:::github.com:berriai:litellm post #2805
The right issue is harder because it may require assessing an external service, defining proxy integration boundaries, and adding documentation or validation across the ecosystem. The left issue appears localized to a single dashboard connection-test parameter mismatch with a narrow fix and regression test.
discussed in #import:https:::github.com:berriai:litellm

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