Honcho Memory Setup.
Give your agent persistent memory that spans conversations using semantic search and knowledge graphs.
Built for
What it does.
Self-hosted persistent memory layer for AI agents. Stores and recalls knowledge across sessions using a semantic knowledge graph. Every interaction builds on what came before.
Built on PostgreSQL and pgvector with nomic-embed-text embeddings. Query across conversations with semantic search. Workspace conclusions aggregate learnings. Peer cards track related entities and patterns.
Drop Python scripts into your agent setup for migration, cross-session search, and multi-observer queries. No external APIs. Full control over your agent's memory.
What’s inside.
Everything you need in the bundle. No tutorials. No assembly.
- 01PostgreSQL + pgvector stack preconfigured with nomic embeddings
- 02Python migration scripts to move existing memory into the knowledge graph
- 03Semantic search implementation for cross-session knowledge retrieval
- 04Workspace conclusions layer that synthesizes learnings over time
- 05Peer card system for tracking entity relationships
- 06Multi-observer query templates for comparing agent perspectives
- 07Self-hosted setup guide with deployment instructions
Drop it in. Press go.
- №01
Download
Buy once, get the file by email and on your dashboard.
- №02
Drop it in
Paste it into your agent. One minute.
- №03
Run it
Your agent picks up the new capability immediately.
- №04
Your agent just got smarter
One more thing off your plate — for every future job.
About the creator.
Things people ask.
$79
Honcho Memory Setup.