Getting Started
Prerequisites
- A recent Rust toolchain (see
rust-toolchain.toml). - (Optional) a model endpoint for the mining LLM tier — DeepSeek by default.
- (Optional) a Tailscale network for remote thin clients.
Install
Ijima is published on crates.io:
cargo install ijima-server --features "cli,backend-sqlite,embeddings-candle"
The default features give you the daemon, HTTP, Schubert auth, and the
SurrealDB backend. Add backend-sqlite if you will import from a legacy
pi-mempalace or ZeroClaw database, and embeddings-candle for semantic
search (downloads all-MiniLM-L6-v2 on first use).
Start a daemon
ijima serve
The daemon listens on 127.0.0.1:7373, creates a data directory at
~/.ijima (an embedded SurrealDB store + issuer key), and is ready.
IJIMA_DIR relocates the data directory; see
Installing and Configuring.
Mint a grant
Every request needs a Schubert GrantToken. Mint one for yourself:
ijima token issue --principal elliott \
--capabilities memory:read,memory:write,knowledge:read,knowledge:write
The token is a base64 GrantToken blob — proof-carrying, signed by the issuer key in the data directory. Store it somewhere safe (a password manager); it is a credential.
First requests
TOKEN="..." # from the step above
# store a memory
curl -s -H "Authorization: Bearer $TOKEN" -H "content-type: application/json" \
-d '{"id":"mem_first","content":"Ijima is running","project":"ijima",
"topic":"notes","source":"Explicit","harness":"Pi",
"importance":0.5,"created_at":"0"}' \
localhost:7373/memories
# recall it
curl -s -H "Authorization: Bearer $TOKEN" \
localhost:7373/memories/mem_first
The response provenance block reports what the daemon saw: source tier, harness, origin instance, authority scope.
From a harness
Rust harnesses use ijima-client:
#![allow(unused)]
fn main() {
let client = ijima_client::Client::new(
ijima_client::ClientConfig::new("http://127.0.0.1:7373", Harness::Pi)
.with_token(token),
);
let id = client.store_memory(memory).await?;
}
pi users: the pi integration is a single env pair
(IJIMA_URL, IJIMA_TOKEN).
Next steps
- Concepts — the two-store model, provenance, capabilities.
- Importing Legacy Corpora — bring your pi-mempalace history in.
- The Mining Pipeline — turn session transcripts into memories.