Your AI agents forget everything. Hipp0 fixes that.
The decision memory layer for multi-agent AI teams. Captures what was decided, why, and by whom — then compiles the right context for each agent, every time.
Built for engineers shipping multi-agent systems with LangGraph, CrewAI, AutoGen, or OpenAI Agents.
Agents are stateless
Most agents reset their context window every few interactions, losing the “why” behind critical decisions.
Context gets lost
Multi-agent handoffs often fail because the receiving agent lacks the full execution history of its predecessor.
Hipp0 remembers
Our persistent decision layer creates a verifiable, queryable history of every decision your agents make.
The 3-Step Decision Loop
How decisions flow through the system.
Capture
project_id: project.id,
title: 'Use JWT for API auth',
reasoning: 'Stateless, scalable',
made_by: 'architect',
affects: ['builder', 'reviewer'],
tags: ['security', 'api'],
})
Capture every decision across the agent team — who made it, why, and who it affects.
Score
Five signals. One score. Agents get context ranked for their exact role — not a one-size-fits-all embedding dump.
Compile
Memory is distilled into vector embeddings and compiled into ranked context packages in sub-30ms at scale.
See It In Action
The dashboard gives you 31 views into your decision memory.
What's Under the Hood
5-Signal Scoring
Five scoring signals — Direct Affect, Tag Match, Persona Match, Semantic Similarity, and Status Penalty — ensure every agent gets context ranked for their specific role.
Super Brain
A unified memory pool allowing specialized agents to share expertise instantly without redundant computation.
Import Wizard
Migrate and scan GitHub PRs with automated schema mapping and AI-powered extraction.
Collab Rooms
Collaborative debugging environment with real-time memory state visualization for agent teams.
MCP Tools
Native support for Model Context Protocol connectors and 12+ pre-built tool integrations.
BYOK
Bring Your Own Key for OpenAI, Anthropic, or Local LLMs.
System Architecture
Agents (MCP/SDK/API)
PostgreSQL 17
How Hipp0 Compares
Decision memory vs. general-purpose memory tools.
| Feature | Hipp0 | Mem0 | Zep | LangMem |
|---|---|---|---|---|
| Decision-specific memory | ✓ | ✗ | ✗ | ✗ |
| Role-differentiated context | ✓ | ✗ | ✗ | ✗ |
| 5-signal scoring | ✓ | ✗ | ✗ | ✗ |
| Contradiction detection | ✓ | ✗ | Partial | ✗ |
| MCP server | 21 tools | ✗ | ✗ | ✗ |
| Self-hosted | ✓ | ✓ | ✓ | ✗ |
| Open source | Apache 2.0 | Partial | ✓ | ✗ |
| Token compression | 10-12x | ✗ | ✗ | ✗ |
Proven Performance
We ran the benchmarks. Here's what happened.
Natively Integrated
The memory layer must be free.
Hipp0 is built for the developer community. Our core decision layer is Apache 2.0 licensed, ensuring your team's memory is never locked in a proprietary silo.
[+] Running 3/3
✔ Container hipp0-db Healthy
✔ Container hipp0-server Healthy
✔ Container hipp0-dashboard Started
Server listening on port 3100
Dashboard available at port 3200
Give your agents a hippocampus.
Build once. Your agents remember forever.
Hipp0 Cloud
Managed infrastructure. Zero-ops deployment with automatic scaling and backups.
Email hello@hipp0.ai to join the Cloud waitlist
Local Setup