Hindsight Mempalace

by holetron

451 downloads

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GitHub

About

Self-hosted long-term memory for AI agents. An MCP server that gives agents persistent, hierarchical recall (L0–L3) over pgvector — retain preferences, decisions and observations, then recall them by topic across sessions. MIT, clone-and-run, requires Postgres + pgvector.

Details

Author: holetron
Downloads: 451
Categories: AI, Other, Knowledge Base

- Vector store with hierarchical taxonomy (rooms, halls, layers)
- Keyword-based auto-classification (<1ms, zero LLM cost)
- L0–L3 priority tiers (always loaded to archive)
- Cross-bank tunnels for multi-agent memory sharing
- Closet compression: summaries with source pointers
- 5 MCP tools: retain, recall, reflect, compress, bridge

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name Hindsight Mempalace

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "hindsight mempalace": {
            "hindsight-mempalace": {
                "command": "npx",
                "args": [
                    "-y",
                    "hindsight-mempalace-mcp"
                ],
                "env": {
                    "HINDSIGHT_URL": "http://127.0.0.1:5100",
                    "MEMPALACE_BANK": "mempalace-main"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "hindsight mempalace": {
            "hindsight-mempalace": {
                "command": "npx",
                "args": [
                    "-y",
                    "hindsight-mempalace-mcp"
                ],
                "env": {
                    "HINDSIGHT_URL": "http://127.0.0.1:5100",
                    "MEMPALACE_BANK": "mempalace-main"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "hindsight mempalace": {
            "hindsight-mempalace": {
                "command": "npx",
                "args": [
                    "-y",
                    "hindsight-mempalace-mcp"
                ],
                "env": {
                    "HINDSIGHT_URL": "http://127.0.0.1:5100",
                    "MEMPALACE_BANK": "mempalace-main"
                }
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "hindsight mempalace": {
            "hindsight-mempalace": {
                "command": "npx",
                "args": [
                    "-y",
                    "hindsight-mempalace-mcp"
                ],
                "env": {
                    "HINDSIGHT_URL": "http://127.0.0.1:5100",
                    "MEMPALACE_BANK": "mempalace-main"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "hindsight mempalace": {
            "hindsight-mempalace": {
                "command": "npx",
                "args": [
                    "-y",
                    "hindsight-mempalace-mcp"
                ],
                "env": {
                    "HINDSIGHT_URL": "http://127.0.0.1:5100",
                    "MEMPALACE_BANK": "mempalace-main"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "hindsight mempalace": {
            "hindsight-mempalace": {
                "command": "npx",
                "args": [
                    "-y",
                    "hindsight-mempalace-mcp"
                ],
                "env": {
                    "HINDSIGHT_URL": "http://127.0.0.1:5100",
                    "MEMPALACE_BANK": "mempalace-main"
                }
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "hindsight mempalace": {
            "hindsight-mempalace": {
                "command": "npx",
                "args": [
                    "-y",
                    "hindsight-mempalace-mcp"
                ],
                "env": {
                    "HINDSIGHT_URL": "http://127.0.0.1:5100",
                    "MEMPALACE_BANK": "mempalace-main"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "hindsight mempalace": {
            "hindsight-mempalace": {
                "command": "npx",
                "args": [
                    "-y",
                    "hindsight-mempalace-mcp"
                ],
                "env": {
                    "HINDSIGHT_URL": "http://127.0.0.1:5100",
                    "MEMPALACE_BANK": "mempalace-main"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "hindsight mempalace": {
            "hindsight-mempalace": {
                "command": "npx",
                "args": [
                    "-y",
                    "hindsight-mempalace-mcp"
                ],
                "env": {
                    "HINDSIGHT_URL": "http://127.0.0.1:5100",
                    "MEMPALACE_BANK": "mempalace-main"
                }
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "hindsight mempalace": {
            "hindsight-mempalace": {
                "command": "npx",
                "args": [
                    "-y",
                    "hindsight-mempalace-mcp"
                ],
                "env": {
                    "HINDSIGHT_URL": "http://127.0.0.1:5100",
                    "MEMPALACE_BANK": "mempalace-main"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "hindsight mempalace": {
            "hindsight-mempalace": {
                "command": "npx",
                "args": [
                    "-y",
                    "hindsight-mempalace-mcp"
                ],
                "env": {
                    "HINDSIGHT_URL": "http://127.0.0.1:5100",
                    "MEMPALACE_BANK": "mempalace-main"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "hindsight mempalace": {
            "hindsight-mempalace": {
                "command": "npx",
                "args": [
                    "-y",
                    "hindsight-mempalace-mcp"
                ],
                "env": {
                    "HINDSIGHT_URL": "http://127.0.0.1:5100",
                    "MEMPALACE_BANK": "mempalace-main"
                }
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "hindsight mempalace": {
            "hindsight-mempalace": {
                "command": "npx",
                "args": [
                    "-y",
                    "hindsight-mempalace-mcp"
                ],
                "env": {
                    "HINDSIGHT_URL": "http://127.0.0.1:5100",
                    "MEMPALACE_BANK": "mempalace-main"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "hindsight mempalace": {
            "hindsight-mempalace": {
                "command": "npx",
                "args": [
                    "-y",
                    "hindsight-mempalace-mcp"
                ],
                "env": {
                    "HINDSIGHT_URL": "http://127.0.0.1:5100",
                    "MEMPALACE_BANK": "mempalace-main"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "hindsight mempalace": {
            "hindsight-mempalace": {
                "command": "npx",
                "args": [
                    "-y",
                    "hindsight-mempalace-mcp"
                ],
                "env": {
                    "HINDSIGHT_URL": "http://127.0.0.1:5100",
                    "MEMPALACE_BANK": "mempalace-main"
                }
            }
        }
    }
}

From the repository

Clone the repository, copy .env.example to .env, edit configuration, then run docker compose -f docker-compose.mempalace.yml up -d. API available at http://localhost:5100. For the MCP server, install npm dependencies in mcp-server/ and run with environment variables.

`memory_retain`

Save a fact, observation, or document to long-term memory with automatic room/hall classification. Rooms: auth, pipeline, schema, infrastructure, ui, api, deployment, monitoring, agent, general. Halls: fact, event, decision, preference, discovery, procedure, warning. Layers: L0=Identity (always loaded), L1=Critical, L2=Session (default), L3=Deep.

`memory_recall`

Search long-term memory for relevant facts. Uses semantic search with optional room/hall scoping for significantly improved retrieval accuracy. Supports layer cascade (L0 results always prioritized).

`memory_reflect`

Deep reasoning over memory — synthesizes facts, finds patterns, answers complex questions with citations. Use for analysis: "What patterns emerge from recent events?" or "Summarize everything about X."

`memory_compress`

Create compressed memory summaries (closets) from stored facts. Groups memories by room+hall and creates AI-generated summaries with source pointers. Use when a topic has accumulated many facts.

`memory_bridge`

Create a cross-bank memory bridge (tunnel) between two related memories in different banks. Relations: same_concept, depends_on, contradicts, extends. Use when concepts in separate banks are related.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "hindsight mempalace": {
            "hindsight-mempalace": {
                "command": "npx",
                "args": [
                    "-y",
                    "hindsight-mempalace-mcp"
                ],
                "env": {
                    "HINDSIGHT_URL": "http://127.0.0.1:5100",
                    "MEMPALACE_BANK": "mempalace-main"
                }
            }
        }
    }
}

McpServers

{
    "hindsight-mempalace": {
        "command": "npx",
        "args": [
            "-y",
            "hindsight-mempalace-mcp"
        ],
        "env": {
            "HINDSIGHT_URL": "http://127.0.0.1:5100",
            "MEMPALACE_BANK": "mempalace-main"
        }
    }
}

Hindsight MemPalace

Hierarchical memory for AI agents. Storage + taxonomy in one system. A hybrid of two open-source projects: | Project | What it does | What it lacks | |---|---|---| | Hindsight by vectorize-io | Long-term vector memory for AI agents. Stores, embeds, recalls. | No structure — all memories in one flat pile | | MemPalace by milla-jovovich | Hierarchical taxonomy: rooms, halls, layers — the method of loci for AI | No storage engine — a spec without a database | This fork connects them. Hindsight's vector store + MemPalace's taxonomy = structured memory with semantic search. ---

How it works


┌──────────────────────────────────────────────────────┐
│                    MEMPALACE                          │
│                                                      │
│  ┌─── Room: auth ──┐  ┌─── Room: pipeline ──┐       │
│  │ Hall: facts      │  │ Hall: decisions     │       │
│  │ Hall: procedures │  │ Hall: events        │       │
│  │ Hall: warnings   │  │ Hall: facts         │       │
│  │                  │  │                     │       │
│  │  L0 ████ always  │  │  L0 ████ always     │       │
│  │  L1 ███░ warm    │  │  L1 ███░ warm       │       │
│  │  L2 ██░░ cold    │  │  L2 ██░░ cold       │       │
│  │  L3 █░░░ archive │  │  L3 █░░░ archive    │       │
│  └──────────────────┘  └─────────────────────┘       │
│           │                      │                   │
│           └──── Tunnel ──────────┘                   │
│                (cross-bank bridge)                   │
│                                                      │
│  Closets: compressed summaries + source pointers     │
└──────────────────────┬───────────────────────────────┘
                       │
              Hindsight vector store
              (embeddings + semantic search)



Rooms — topic isolation. Auth, pipeline, infrastructure, schema — each topic in its own room. An agent searching for auth facts won't wade through 500 deploy memories.

Halls — knowledge typing within a room. Fact, event, decision, procedure, warning. The system knows what it's looking at before reading — like

Content-Type

 for memory.

Layers L0–L3 — four priority tiers. L0 (core) is always loaded. L3 (archive) is deep-search only. Same idea as CPU cache hierarchy: L1 is fast and small, RAM is slow but holds everything.

Closets — AI-compressed summaries with source pointers. Deduplication at the knowledge level: 10 related facts → 1 paragraph + references.

Tunnels — cross-bank bridges between agents. Agent A discovers an insight — Agent B sees it through a tunnel without data duplication.

Comparison


| | Hindsight | MemPalace | This fork |
|---|---|---|---|
| What it is | Long-term memory store | Hierarchical taxonomy spec | Storage + taxonomy hybrid |
| Storage | Vector store + embeddings | None (spec only) | Vector store + embeddings |
| Memory structure | Flat (all memories equal) | Rooms → Halls → Layers | Rooms → Halls → Layers + embeddings |
| Retrieval | Semantic search | No retrieval engine | Room-scoped semantic search |
| Classification | None | Defined in spec | Keyword-based, <1ms, zero LLM cost |
| Priority tiers | All memories equal | L0–L3 (spec) | L0–L3 (implemented) |
| Compression | None | Closets (spec) | Closets with source pointers |
| Multi-agent | Shared bank | Tunnels (spec) | Tunnels (cross-bank bridges) |
| MCP integration | API only | None | 5 tools via MCP protocol |
| Setup | Docker | Manual config | Docker (drop-in upgrade) |

Quick start

``bash git clone https://github.com/holetron/hindsight-mempalace.git cd hindsight-mempalace cp .env.example .env

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Hindsight Mempalace

About

Details

Jump to

Setting up with Highlight

Setting up with Cursor

JSON

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Setting up with Claude Desktop

JSON

JSON

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Setting up with Windsurf

JSON

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Setting up with Cline

JSON

JSON

JSON

Setting up with Goose

JSON

JSON

JSON

From the repository

`memory_retain`

`memory_recall`

`memory_reflect`

`memory_compress`

`memory_bridge`

Claude Desktop / Cursor

McpServers

Hindsight MemPalace

How it works

Comparison

Quick start

Install

About

Details

Jump to

Setting up with Highlight

From the repository

memory_retain

memory_recall

memory_reflect

memory_compress

memory_bridge

Claude Desktop / Cursor

McpServers

Hindsight MemPalace

How it works

Comparison

Quick start

Install

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