Overview / Description
AgentMemo solves the blank-slate problem in multi-agent systems. By default, every AI agent starts each session with no awareness of what other agents have done or learned. AgentMemo adds a shared memory pool through one MCP server — Agent A stores a finding, Agent B can retrieve it next session. Memory is indexed for semantic search, so agents query by meaning rather than exact key. Built-in conflict detection flags contradictory writes before they corrupt the shared state. Compatible with any MCP-supporting stack, includes a free tier, and installs via a single npm command in under a minute. Useful for developers building multi-agent pipelines where context persistence between agents is a hard requirement.
Used For
Used by developers building multi-agent AI pipelines to give agents a shared, searchable memory pool through a single MCP server.
Pricing
Pros & Cons
Pros
• Shared memory pool for multi-agent systems via one MCP server • Semantic search — agents query memory by meaning, not exact keys • Built-in conflict detection flags contradictory writes • Works with any MCP-supporting stack; installs in under a minute via npm • Includes a free tier
Cons
• Requires an MCP-compatible agent stack • Adds an external dependency to your agent architecture • Paid tier pricing not fully detailed publicly
Questions & Answers
Alternatives
Mem0, Zep, Letta