Launching today
memo
Local-first memory for AI agents — offline, no keys
4 followers
Local-first memory for AI agents — offline, no keys
4 followers
Give any MCP agent (Claude Code, Cursor, Cline) a long-term memory that runs 100% on your machine. Time-machine, contradiction radar, auto-synthesis. MLX on Mac, CPU/Docker on Linux. Markdown is the source of truth. No cloud, no keys. MIT.
How does the contradiction radar actually detect conflicts between new notes and existing memories? Is it doing real semantic comparison locally or is it more of a keyword/tag diff? Curious how well it catches subtle contradictions vs obvious ones.
@erdalm26540
It's real semantic comparison, and it all runs on your machine. Two steps.
First, a similarity pass: each memory's embedding gets compared against the rest, and only pairs scoring above a cosine threshold of 0.55 go forward. It never looks at keywords or tags.
Then a small local LLM reads both notes and picks a label: contradiction, evolution (the newer note replaces the older one), consistent, or unrelated. Only contradictions and evolutions with at least 70% confidence get stored.
Obvious conflicts are the easy case. "I use Ollama" vs "I migrated to MLX" is the same topic, so the embeddings land close together, and the conflict is explicit enough for a small model to catch. Subtle ones are harder. If two notes disagree but phrase things very differently, their similarity never clears the threshold and the pair never gets compared at all. Each note is also only checked against its 5 nearest neighbors, and the model only sees the first 1000 characters of each. Stated conflicts it handles fine. Implied ones, where you'd have to reason your way to the contradiction, it mostly misses.
The evolution category is a smart move, though. "I switched to Y" gets treated as an update rather than a false alarm, and that's the most common case that would otherwise look like a contradiction.
Thank you for your interest!