Zengram

Shared memory for multi-agent AI systems.

Quick Start • How It Works • Benchmarks • Adapters • API Docs • Config

Store a fact from Claude Code on your laptop, recall it from an autonomous agent on your server, get a briefing from n8n — all through the same memory system. Born from a production setup where nothing existed that let multiple AI agents share memory across separate machines.

The Problem

You run multiple AI agents — Claude Code for development, autonomous agents for tasks, n8n for automation. They each maintain their own context and forget everything between sessions. When one agent discovers something important, the others never learn about it.

How It Works

Typed Memory

Events are immutable history. Facts upsert by key — new facts supersede old ones. Statuses track current state. Decisions record choices and reasoning. Each type has its own lifecycle, decay rules, and mutation semantics.

Dual Storage

Every memory lives in two places: Qdrant for semantic vector search and SQLite/Postgres for structured queries, entity graphs, and full-text BM25 search. Get both "find memories similar to X" and "give me all facts with key Y" from the same system.

Multi-Path Search

Search runs three retrieval paths in parallel, fused with Reciprocal Rank Fusion:

1. Vector search — Cosine similarity via Qdrant
2. Keyword search — BM25 via Postgres tsvector or SQLite FTS5
3. Entity graph — BFS traversal through relationship graph

Items found by multiple paths get boosted. 98.4% retrieval accuracy on LongMemEval.

Built for Multi-Agent

• Cross-agent briefings — "What happened since I was last here?" returns updates from all other agents
• Agent-scoped API keys — Each agent gets its own identity and permissions
• Cross-agent corroboration — Two agents storing the same fact = corroboration, not duplication
• Credential scrubbing — API keys, JWTs, passwords automatically redacted before storage
• Entity extraction — Regex + alias cache on every write, LLM refinement on consolidation
• LLM consolidation — Periodic background process merges duplicates, flags contradictions, discovers co

... View full README on GitHub