Zero-LLM agent memory for Claude Code and AI agents: local-first BM25, dense-vector, and reciprocal-rank-fusion retri...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Fresh repo activity plus visible builder pull. This is the kind of tool people test before it turns obvious.
Copy the install, test the workflow, then decide if it earns a permanent slot.
You can test this quickly and remove it cleanly if it misses.
GitHub health unknown. no security policy. Fresh enough repo health and manageable issue load keep the risk controlled.
AI Agent
Multiple
Model
Multiple
Fastest way to find out if fidelis belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
git clone https://github.com/hermes-labs-ai/fidelis && cd fidelis && cat README.mdRun this first. You will know quickly if the workflow earns a permanent slot.
rm -rf fidelisNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
./ └─ fidelis/ ← clones here
Zero-LLM agent memory for Claude Code and AI agents: local-first BM25, dense-vector, and reciprocal-rank-fusion retrieval. Returns original passages verbatim by default. Available on PyPI as fidelis-memory. Apache-2.0.
Source: GitHub repository
Source check: October 19, 2026
Upstream commit: October 19, 2026
Repository state: Not marked archived
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