01
decision
Standardize on idempotent write endpoints
Source: architecture.md
AI Agent Memory in · shared project memory
AI Agent Memory in Montevideo
A memory layer for AI agents is only useful if it remembers the right things for the right people. MemHub scopes every entry to a project, attaches author and version provenance, and briefs new sessions with exactly the context added since their last pull.
The fastest way to make coding agents productive is to stop re-explaining your codebase to them. With MemHub, architecture decisions, pinned invariants, and recent fixes live in one synchronized memory that Claude Code, Cursor, Codex CLI, and Antigravity all read from.
Create your shared memory
Free Community tier. Self-hosted or hosted. No external embedding API required.
acme/ai-agent-memory
synchronizedcontext/main
memories 41
pinned 6
contributors 9
BRIEFING FOR NEW SESSION
What changed since your last pull
02
pattern
Repository layer owns every database transaction
Source: pull request #214
03
bugfix
Refresh tokens rotate atomically under load
Source: auth/session.ts
Claude Code
Cursor
Windsurf
LOCAL FIT
Why Montevideo engineering teams choose MemHub
In Montevideo, software teams ship faster when their tools share one memory instead of three silos. Mixed toolchains stop fragmenting knowledge across vendor-specific stores.
Every entry carries authorship and version history, which keeps both humans and auditors comfortable.
- Montevideo: connect Claude Code, Cursor, Windsurf, Cline, Codex CLI, or Antigravity to one shared memory. It also plugs into any CLI that speaks MCP or reads a JSON config.
- Local-first writes keep sessions productive through outages and travel.
- One command onboards the whole team: memhub login, then connect for Claude Code, Cursor, Windsurf, Cline, Codex CLI, or any JSON client.
UNIVERSAL COMPATIBILITY
Plugs into any CLI or development tool you use.
If it speaks MCP or reads a JSON config, MemHub plugs in. One command wires the majors; everything else joins as a generic client.
- Claude Code
- Cursor
- Windsurf
- Cline
- Codex CLI (GPT)
- GitHub Copilot
- Google Antigravity
- Gemini CLI
- Aider
- OpenCode
- CI bots via REST
WHAT YOU GET
AI Agent Memory in Montevideo, without the trade-offs.
01
Local-first writes
Work continues offline; entries commit to local storage first and synchronize when the network returns.
02
Provenance included
Every memory carries its author, source file or pull request, and version history — no anonymous tribal knowledge.
03
MCP native
One stdio proxy exposes memory to any Model Context Protocol client without changing how your team works.
04
Searchable instantly
Full-text search out of the box, with optional embeddings through Ollama or a remote provider when you want semantic recall.
05
Persistent by default
Memories survive sessions, restarts, and device switches through a durable local outbox plus synchronized cloud storage.
06
Team-scoped
Organization and project boundaries are enforced at the API layer, so agents only see memory they are authorized to read.
The honest comparison.
No feature-matrix gymnastics — just what changes the week you adopt MemHub.
| Status quo | With MemHub |
|---|---|
| Context lives in heads and DMs | Memory is structured, shared, and searchable |
| Every agent re-learns the repo | Sessions open pre-briefed with only what changed |
| Rules files cap out at ~2k tokens | Unbounded versioned history stays one query away |
Connect the tools already in your repository.
One command injects configuration for Claude Code, Cursor, Codex CLI, Google Antigravity, Windsurf, Cline, or any JSON MCP client.
repository terminal
$ npm install --global @simplexlat/memhub
$ memhub login
✓ project resolved · context ready · memory synchronized
Questions, answered straight.
What is AI agent memory?
It is a persistent store of decisions, constraints, fixes, and preferences that AI coding agents read at the start of every session instead of rediscovering — or hallucinating — them from scratch.
How is it different from a rules file like CLAUDE.md?
Rules files hold short-lived instructions inside one repo and one tool. A memory layer holds versioned, searchable, team-wide knowledge that travels across repositories, tools, and months of history.
What happens when our connection drops?
Nothing interrupts the work. Writes commit to the local SQLite outbox and synchronize automatically when the shared service is reachable again.
Can we try it without sending data anywhere?
Yes — the local engine works fully offline, and the self-hosted stack keeps even the shared layer on your own PostgreSQL.
How much does it cost?
A Community tier is free, and the Team plan adds multi-project contexts, seats, and higher synchronization limits. Self-hosting is unlimited.
MORE LOCATIONS
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EXPLORE OTHER USE CASES
MCP Memory Server
A hosted MCP memory server your whole team connects to in one command.
Claude Code Memory
Claude Code memory that survives sessions and reaches the whole team.
Cursor Memory
Carry Cursor context across sessions, machines, and teammates.
Codex CLI Memory
Persistent context for Codex CLI — personal today, shared tomorrow.
Cross-Agent Memory
One memory behind Claude Code, Cursor, Codex CLI, and Antigravity.
Developer Knowledge Base
A living knowledge base that writes itself while your team codes.
Self-Hosted AI Memory
Run the entire memory stack on your own PostgreSQL — nothing leaves.
Coding Agent Context
Context engineering for coding agents — brief, don’t dump.
Engineering Decision Log
An ADR habit your team will actually keep — logged by the agents doing the work.
Agent Memory Database
A real database behind agent memory — PostgreSQL, pgvector, row-level security.
Windsurf Memory
Persistent Windsurf context shared with every other agent on the team.
Cline Memory
Give Cline a memory that survives tasks, machines, and teammates.
Copilot Team Memory
What Copilot’s custom instructions can’t hold, MemHub remembers.
Antigravity & Gemini Memory
Persistent context for Google Antigravity, Gemini CLI, and the agents around them.
THE NEXT SESSION STARTS HERE