Like I Said - Memory MCP Server
Memory persistence MCP server for AI agents — enabling agents to store, retrieve, and search memories across conversations. Provides local storage for facts, preferences, and context that persists beyond individual conversation sessions. Enables AI assistants to remember previous interactions, user preferences, project context, and learned information without relying on the LLM's ephemeral context.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Local files. No credentials. Memory may contain sensitive info. Protect storage directory access. No external exposure.
⚡ Reliability
Best When
An AI agent or assistant needs to remember information between conversations — providing continuity and personalization that the LLM's context window alone cannot provide.
Avoid When
You need team-shared memory, distributed storage, or large-scale semantic search — use vector databases (ChromaDB, Pinecone) for those requirements.
Use Cases
- • Persisting conversation context and learned facts across sessions from assistant agents
- • Storing user preferences and settings for personalized agent behavior from personalization agents
- • Building up knowledge about projects and codebases over time from development agents
- • Remembering previous decisions and their rationale from decision-support agents
- • Maintaining relationship and interaction history from communication agents
Not For
- • Shared team memory requiring multi-user access (this is personal/single-agent memory)
- • High-volume vector search (use ChromaDB or Weaviate for large-scale semantic memory)
- • Production applications requiring high-availability memory (local file-based storage)
Interface
Authentication
No authentication — local file-based memory storage. Data stored in a local directory (configurable). No external service required.
Pricing
Free local memory persistence tool. No external API costs.
Agent Metadata
Known Gotchas
- ⚠ Memory quality depends on what the agent chooses to store — implement memory curation strategies
- ⚠ Local file storage means memory is machine-specific — no sync across devices
- ⚠ Memory can grow unbounded — implement periodic cleanup to remove stale or irrelevant memories
- ⚠ Retrieval quality depends on search implementation — semantic vs keyword search affects recall
- ⚠ No conflict resolution for contradictory memories — implement logic to handle outdated facts
Alternatives
Full Evaluation Report
Detailed scoring breakdown, competitive positioning, security analysis, and improvement recommendations for Like I Said - Memory MCP Server.
Scores are editorial opinions as of 2026-03-06.