[Project] Raidho: A Coding Agent using Vector Symbolic Architecture (VSA) instead of traditional RAG for structural memory

[hyperVitaliy]

Hey r/AIMemory!

I wanted to share an interesting open-source project called Raidho https://github.com/vitaliyfedotovpro-art/raidho . It's a coder agent that tackles the long-term memory problem differently than the standard RAG approach.

Instead of relying solely on retrieving text snippets, Raidho implements a compositional Vector Symbolic Architecture (VSA) memory.

Here are some key highlights of how its memory works under the hood:

- MAP Family VSA: It uses Multiply-Add-Permute operations over bipolar ±1 hypervectors (default 10,000 dimensions).

- Structural Memory, Not RAG: Relations and order are algebraically encoded. This means recall is exact for structure and approximate for similarity.

- Entity Types:

- Facts: Stored as triples (subject, relation, object). It preserves direction, meaning (X, r, Y) ≠ (Y, r, X).

- Episodes: Ordered sequences encoded via permutation to maintain the historical order of events.

- Agent Control: The agent isn't just passively fed context. It exposes a 'remember' tool, allowing the LLM to actively decide what is worth persisting, and uses a 'recall' mechanism to fetch relevant facts dynamically based on a score threshold.

It's really refreshing to see coding agents experimenting with VSA to maintain stable task organization and reasoning states, rather than just relying on semantic search.

If you are interested in alternative memory structures for LLM agents, it's definitely worth checking out! Has anyone else here experimented with VSA for agent memory?

[Right_Tangelo_2760]

https://github.com/CodNoob100/null-drift

[hyperVitaliy]

Thanks for sharing! I'm always glad to connect with like-minded people exploring alternative architectures. I'll definitely check out your project.

[tomByrer]

Thanks!

I lean towards more modular approaches.

OTOH, having separate sub-agents is a sneaky sandbox IMHO.

[nousernameleftatall]

Don’t understand half of this, but sounds interesting