How do I get an API key?
Get a free API key at [hifriendbot.com/developer](https://hifriendbot.com/developer/). The key starts with `cm_` and is set as `COGMEMAI_API_KEY`.
C
Cogmemai MCP Server
@hifriendbot
Basic information
About Cogmemai MCP Server
Persistent cognitive memory for Claude Code. Cloud-first MCP server with
Cogmemai MCP Server config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"cogmemai": {
"command": "cogmemai-mcp",
"env": {
"COGMEMAI_API_KEY": "your_key_here"
}
}
}
}Cogmemai MCP Server tools
18Store a fact explicitly (architecture decision, preference, etc.)
Search memories using natural language (semantic search)
Ai extracts facts from a conversation exchange automatically
Load top memories at session start (with smart ranking and compact mode)
Browse memories with filters (paginated)
Update a memory's content, importance, or scope
Permanently delete a memory
Check your usage stats and tier info
Export all memories as JSON for backup or transfer
Bulk import memories from a JSON array
Feed in a document (README, API docs) to auto-extract memories
Save a summary of what was accomplished in this session
View all tags in use across your memories
Connect related memories with named relationships
Explore the knowledge graph around a memory
View edit history of a memory
Memory health dashboard with insights
Promote a project memory to global scope
Overview
What is Cogmemai Mcp?
Cogmemai Mcp is a cognitive memory server for Claude Code and other AI coding assistants. It solves the problem of losing context between sessions by persisting architecture decisions, coding preferences, bug fixes, and project knowledge permanently. It is built for developers who want their AI assistant to remember everything without re-explaining.
How to use Cogmemai Mcp?
Run npx cogmemai-mcp setup for an automatic configuration wizard that verifies your API key, configures the MCP server, and installs automatic context recovery. Alternatively, manually add it to .mcp.json or use claude mcp add with your COGMEMAI_API_KEY. It works with Claude Code, Cursor, Windsurf, Cline, and Continue. The server exposes 18 tools that the AI assistant uses automatically, including save_memory, recall_memories, and extract_memories.
Key features of Cogmemai Mcp
- Semantic search by meaning, not keywords
- AI-powered automatic extraction of important facts
- Smart deduplication of conflicting memories
- Privacy controls that detect secrets before storage
- Document ingestion from READMEs and docs
- Project scoping with global and per-repo memories
- Automatic compaction recovery for Claude Code
- Token-efficient compact context loading
- Zero local databases or vector stores
Use cases of Cogmemai Mcp
- Remembering your tech stack and architecture decisions across Claude Code sessions
- Preserving coding style preferences and tool choices globally
- Tracking bugs, workarounds, and dependency constraints per project
- Instantly loading project context from ingested documentation
- Maintaining consistent context for long-running or multi-session development tasks
Frequently asked questions
What makes CogmemAi different from local memory solutions?
CogmemAi runs extraction and search server-side. Your MCP server is a thin HTTP client with no local databases, no Docker, no Python, and no vector stores. Setup is zero maintenance.
Does CogmemAi store my source code?
No. CogmemAi stores only extracted facts (short sentences) and never raw source code. API keys are hashed with SHA-256, all traffic is over HTTPS, and no data is used for model training.
What editors and assistants are supported?
Cogmemai Mcp works with Claude Code, Cursor, Windsurf, Cline, and Continue. Automatic setup is recommended for Claude Code; manual JSON configuration is available for the others.
How does compaction recovery work?
When Claude Code compacts your context, CogmemAi automatically preserves your context before compaction and seamlessly restores it afterward, preventing loss of conversation history and context.
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