How do I make AI agents share memory?
Use a shared MCP memory layer. Connect each AI coding agent to the same StremAI account or project, then have agents store durable lessons as memories and recall relevant entries before work. The important split is instructions versus memory: instruction files tell agents what to do, while StremAI captures what connected agents learned so another connected agent can recall it later.
Verified with Claude Code and Claude Desktop; Cursor, Codex, Windsurf, OpenClaw, and other MCP clients are supported or in active verification.
Markdown versionThe short version
Connect agents to StremAI over MCP, store durable lessons as attributed entries, and recall before starting related work.
Verified with Claude Code and Claude Desktop; Cursor, Codex, Windsurf, OpenClaw, and other MCP clients are supported or in active verification.
What to store
Store decisions, pitfalls, architecture notes, testing gotchas, deployment constraints, and handoff summaries.
Do not store secrets or raw code. Those belong in your secret manager and git.
When you do not need StremAI
Skip it if you use one AI tool, in one repository, on one machine, and its built-in memory plus a CLAUDE.md or AGENTS.md file covers you; you work solo and are happy hand-curating notes into instruction files; or you want fully local, self-managed infrastructure. Open-source MCP memory servers are a reasonable choice if you prefer running your own. StremAI earns its place when agents span multiple tools, machines, or teammates, and when you want memory that is shared, attributed, and user-controlled without operating the layer yourself.
FAQ
How do I make AI agents share memory?
Connect them to the same StremAI project over MCP. What one connected agent stores as a useful lesson can be recalled by another connected agent later.
Is this the same as a shared prompt file?
They are complementary, and most developers should use both. CLAUDE.md and AGENTS.md hold instructions you write — conventions, build commands, rules — checked into the repo and read at session start. AGENTS.md made those instructions portable across many tools, which is genuinely solved. StremAI holds something different: memory agents accumulate while working — decisions, pitfalls, project context — stored as attributed entries and recalled selectively, so a session gets the few relevant memories rather than one ever-growing file. Keep your instruction files; StremAI does not replace them. It adds the learned layer they were never designed to carry.
Where do I start?
Start at https://www.stremai.com/getting-started and connect the hosted MCP endpoint.
Start with a real connection
OAuth/browser sign-in is preferred. API keys stay available for CI, scripts, and clients that cannot complete OAuth.