What problem does it solve?
Honcho solves the problem of durable, isolated memory for AI agents by keeping workspaces, sessions, peers, and chat history persistent across restarts while preventing one consumer from reading another consumer’s state.
Core Features & Use Cases
- Workspace-scoped memory: Use JWT HS256 keys to isolate memory access for agents like OpenClaw and Hermes.
- Production-grade deployment: Run the full stack with Postgres, Redis, API, and worker components plus Alembic migrations handled automatically in init containers.
- Cluster integration: Connect the service through Kubernetes, Cilium-safe NetworkPolicies, and a stable Service-to-pod port mapping for reliable agent access.
- Use case: Deploy a long-lived assistant that remembers prior conversations, stores derived context, and serves multiple internal consumers without cross-workspace leakage.
Quick Start
Deploy Honcho for my cluster with workspace-isolated JWT auth, automatic database migrations, and the correct Kubernetes networking setup.