Persistent memory for AI assistants with semantic search and knowledge graph relationships.
Persistent memory for AI assistants with semantic search and knowledge graph relationships. Exposed over MCP by the octobrain mcp server, that capability becomes something an assistant can invoke while it works, not something you go and do afterwards.
AI assistants start every conversation with zero context. You explain your project, your preferences, your decisions — every single time. Octobrain breaks that cycle:
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
Everything the assistant can do here goes through one of these:
memorize — Store memories with metadata; optional related_to for inline relationshipsremember — Semantic search with filters; returns 1-hop graph neighborsforget — Delete memories (requires confirmation)knowledge — Unified tool: search, store, delete, read, match via command fieldYou will need 4 environment variables: VOYAGE_API_KEY, OPENAI_API_KEY, GOOGLE_API_KEY, JINA_API_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
Plenty of knowledge and memory servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Octobrain's toolset — memorize, remember, forget and 1 more — is a fair guide to whether it matches your workflow. It is maintained by Muvon; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| memorize | Store memories with metadata; optional related_to for inline relationships |
| remember | Semantic search with filters; returns 1-hop graph neighbors |
| forget | Delete memories (requires confirmation) |
| knowledge | Unified tool: search, store, delete, read, match via command field |
{
"mcpServers": {
"octobrain": {
"command": "/path/to/octobrain",
"args": ["mcp"]
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| VOYAGE_API_KEY | Credential the server authenticates with. | Yes |
| OPENAI_API_KEY | Credential the server authenticates with. | Yes |
| GOOGLE_API_KEY | Credential the server authenticates with. | Yes |
| JINA_API_KEY | Credential the server authenticates with. | Yes |
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.