原始内容
pi-cognee
Cognee AI memory for Pi — your coding agent with persistent, queryable knowledge graph memory.
Two backends, one interface:
| Mode | How | Best for |
|---|---|---|
| SDK (default) | In-process via @cognee/cognee-ts |
Zero-infrastructure, works out of the box |
| MCP | Remote Cognee MCP server | Shared memory across agents, self-hosted |
Install
pi install npm:@kerryhatcher/pi-cognee
Quick Start (SDK mode)
SDK mode works immediately — no server needed. Just set your LLM API key:
# In pi:
/cognee-config llmApiKey sk-...
/cognee-config llmModel gpt-4o-mini
Then start using memory:
> Remember this: the project uses Postgres with Prisma ORM
> What database does this project use?
MCP Mode
If you run a Cognee MCP server, switch to MCP mode:
/cognee-mode mcp
/cognee-config mcpUrl http://localhost:8001/mcp
Commands
| Command | Description |
|---|---|
/cognee-mode [sdk|mcp] |
Switch backend mode |
/cognee-config |
Show all config |
/cognee-config <key> |
Show one config value |
/cognee-config <key> <value> |
Set a config value |
Tools
All tools work identically in both modes:
| Tool | Description |
|---|---|
cognee_health |
Check connectivity |
cognee_remember |
Store text in memory |
cognee_recall |
Search memory |
cognee_forget |
Delete datasets or all memory |
cognee_datasets |
List datasets |
cognee_dataset_data |
List items in a dataset |
cognee_create_dataset |
Create a new dataset |
cognee_client_info |
Show client identity and mode |
cognee_cognify_file |
Ingest a file (base64) |
Config Keys
| Key | Default | Description |
|---|---|---|
mode |
sdk |
Backend mode: sdk or mcp |
mcpUrl |
http://localhost:8001/mcp |
MCP server URL |
llmModel |
— | LLM model (SDK mode) |
llmApiKey |
— | LLM API key (SDK mode) |
embeddingProvider |
— | Embedding provider (SDK mode) |
embeddingModel |
— | Embedding model (SDK mode) |
vectorDbProvider |
— | Vector DB provider (SDK mode) |
graphDbProvider |
— | Graph DB provider (SDK mode) |
License
MIT