Configuring the LLM backend (xAI Grok, OpenAI, Anthropic, Gemini, DeepSeek, Kimi, Qwen, Mistral, Groq, Together, Cerebras, OpenRouter, Fireworks, LMStudio, vLLM, llama.cpp server, or local Ollama)?…
ai-memory-mcp is an MCP project maintained in the alphaonedev/ai-memory-mcp repository. The maintainer describes its purpose as “Configuring the LLM backend (xAI Grok, OpenAI, Anthropic, Gemini, DeepSeek, Kimi, Qwen, Mistral, Groq, Together, Cerebras, OpenRouter, Fireworks, LMStudio, vLLM, llama.cpp server, or local Ollama)?…”. Read the project documentation for the complete scope.
The project provides a local client configuration using ai-memory. Follow the repository’s build and installation steps before copying it, and replace example paths with the paths on your own computer.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| memory_store | Store a new memory (deduplicates by title+namespace, reports contradictions) |
| memory_recall | Recall memories relevant to a context (fuzzy OR search, ranked by 6 factors) |
| memory_search | Search memories by exact keyword match (AND semantics) |
| memory_list | List memories with optional filters (namespace, tier, tags, date range) |
| memory_get | Get a specific memory by ID with its links |
| memory_update | Update an existing memory by ID (partial update) |
| memory_delete | Delete a memory by ID |
| memory_promote | Promote a memory to long-term (permanent, clears expiry) |
| memory_forget | Bulk delete by pattern, namespace, or tier |
| memory_link | Create a typed link between two memories |
| memory_get_links | Get all links for a memory |
| memory_consolidate | Merge multiple memories into one long-term summary |
| memory_stats | Get memory store statistics |
| memory_capabilities | Report active feature tier, loaded models, and available capabilities |
| memory_expand_query | Use LLM to expand search query into related terms (smart+ tier) |
| memory_auto_tag | Use LLM to auto-generate tags for a memory (smart+ tier) |
| memory_detect_contradiction | Use LLM to check if two memories contradict (smart+ tier) |
| memory_archive_list | List archived memories (with optional namespace/tier/tag filters) |
| memory_archive_restore | Restore an archived memory back to the active store |
| memory_archive_purge | Permanently delete archived memories matching filters |
| memory_archive_stats | Get archive statistics (counts by tier, namespace, age) |
{
"mcpServers": {
"memory": {
"command": "ai-memory",
"args": [
"--db",
"~/.claude/ai-memory.db",
"mcp",
"--tier",
"semantic"
]
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
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