The memory layer for AI coding tools. Local-first, developer-specific, works everywhere.
The memory layer for AI coding tools. Local-first, developer-specific, works everywhere.
Quick Start · How It Works · Benchmarks · Tools · Dashboard · Architecture
Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
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 memory with type, tags, confidence. Auto-redacts private content, auto-expires contradictions. |
| memory_recall | Semantic search — compact mode by default (~10x token savings). Use memory_detail for full content. |
| memory_detail | Retrieve full content by ID after compact recall. |
| memory_context | Load all relevant context for a topic, organized by type with token budgeting. |
| memory_extract | Batch-save multiple memories from conversation. |
| memory_forget | Delete by ID or query (with confirmation). |
| memory_inject | Surface corrections + decisions + graph neighbors before coding starts. |
| memory_patch | Surgical field-level edit with auto-snapshot. |
| memory_versions | View full edit history or restore any version. |
| memory_search | Exact full-text search via FTS5 with compact mode. |
| memory_since | Temporal query with natural language ranges (7d, 2w, 1h). |
| memory_relate | Build a typed knowledge graph between memories. |
| memory_multi_recall | Multi-strategy search with compact mode: semantic + FTS5 + graph + temporal. |
| memory_tier | Move memories between tiers: core / working / archival. |
{
"mcpServers": {
"amem": {
"command": "npx",
"args": [
"-y",
"@aman_asmuei/amem"
]
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
Store entities, relations and observations in a local knowledge graph with the reference Memory MCP server.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
MCP Server for Scientific Paper Harvesting from arXiv and OpenAlex
An MCP server implementation that provides tools for managing project knowledge graphs, enabling structured representation of projects, tasks, milestones, resources, and team members. This server…
MCP server that validates AI-generated Android code against official SDK documentation.
Cross-agent memory over MCP: hybrid recall, knowledge graph, private/shared visibility, redaction.