gnokee 0.2.3

Memory infrastructure for personal AI — bi-temporal facts, honest contradictions, autonomous maintenance, real forgetting. MCP-native, multi-tenant, multilingual.

gnokee

Memory infrastructure for personal AI — bi-temporal facts, honest contradictions, autonomous maintenance, real forgetting. MCP-native, multi-tenant, multilingual.

Status: v0.2 — v0.1 surface (ingest + recall + MCP) plus typed clinical-data reads (gnokee_lab_query / gnokee_med_query) per ADR-0009 + ADR-0010. See docs/specs/v0.1.md for the core surface; ADRs for v0.2 deltas.

Quickstart

Requirements: Docker, Python 3.10+, an OpenAI-compatible LLM API key (gpt-4o-mini per Q4).

# 1. Bring up Postgres + Neo4j + TEI
make up

# 2. Install (editable) and run the demo
python3 -m venv .venv && source .venv/bin/activate
pip install -e ".[mcp,dev]"

# 3. Configure env
cp .env.example .env
# edit .env to set GNOKEE_OPENAI_API_KEY (or GNOKEE_LLM_API_KEY)

# 4. Apply migrations and run the demo
make migrate
make demo

The demo ingests five episodes about a person, runs a recall, and prints any contradictions. Output is plain stdout — gnokee is a library + MCP server, not a UI.

MCP server

python -m gnokee.mcp        # stdio (default; for Claude Desktop / Code / Cursor)
GNOKEE_MCP_HTTP=1 python -m gnokee.mcp   # streamable-http (dev only)

Tools surfaced:

Tool	Purpose
gnokee_ingest_episode	Store a fact / event / observation in bi-temporal memory.
gnokee_recall	Natural-language fact retrieval with provenance handles.
gnokee_fact_provenance	Fetch the original episode body behind a fact_uuid.
gnokee_lab_query (v0.2)	Typed clinical-lab reads: latest | history | min | max | avg | count over lab_record.
gnokee_med_query (v0.2)	Typed medication-history reads: active | history | allergies | switches over med_record.

Core schemas in docs/specs/v0.1.md §6; v0.2 typed reads documented in ADR-0009 + ADR-0010.

Environment variables

Var	Purpose
GNOKEE_PG_DSN	postgresql://…
GNOKEE_NEO4J_URI / GNOKEE_NEO4J_USER / GNOKEE_NEO4J_PASSWORD	Bolt + auth
GNOKEE_TEI_URL	TEI base URL (e.g. http://localhost:8080)
GNOKEE_EMBED_MODEL	default bge-m3 (1024-dim, locked)
GNOKEE_OPENAI_BASE_URL / GNOKEE_OPENAI_API_KEY	consumer-supplied LLM (alias: GNOKEE_LLM_*)
GNOKEE_LLM_MODEL	default gpt-4o-mini
GNOKEE_TENANT_DEFAULT	demo + tests only; production paths require tenant_id explicitly
GNOKEE_MCP_HTTP	0 for stdio, 1 for streamable-http (dev only)
GNOKEE_LOG_LEVEL	default info

Tests

make test-unit             # no compose required
make up && make test-integration   # needs LLM key + compose stack

What gnokee is

A memory layer that treats facts the way infrastructure treats state: declared, versioned, reconciled, garbage-collected. It ingests episodes from any source (files, APIs, event streams), stores them with bi-temporal validity, detects contradictions at write and surfaces them at read, supersedes facts explicitly rather than overwriting, forgets verifiably when asked, and runs maintenance autonomously.

MCP-native. Multi-tenant from day one. Multilingual by default (bge-m3). Built on top of Graphiti's bi-temporal knowledge graph primitive.

What gnokee is not

• Not a chat UI (use any MCP client)
• Not an LLM host (use Ollama, LiteLLM, direct APIs)
• Not a sync engine, workflow engine, agent framework, document parser, vault editor, auth provider, federation layer

See docs/architecture.md for the full refusal list.

Status

• Namespace claimed (PyPI, npm, GitHub org gnokeelabs, domains gnokee.com/.dev/.io)
• Q1 Graphiti spike — ADOPT as storage primitive (ADR-0001)
• Q2 bge-m3 cross-lingual — ADOPT (100% top-1 via direct cosine); retrieval reassigned to gnokee (ADR-0004)
• Q3 MCP token-efficiency — ADOPT gnokee response shape (60% token reduction at 91.7% top-3 recall vs Graphiti-raw 50%)
• Q4 contradiction-classifier smoke test — ADOPT gpt-4o-mini (8/10 = 80% accuracy on labeled pairs)
• Q5 forgetting hard-delete propagation — ADOPT (2/2 probes; Neo4j cascade + retrieval-surface clean)
• Q5 storage adapter audit (FalkorDB) — Neo4j for v0.1; FalkorDB swap deferred to v0.2 (Graphiti-internal API differs; gnokee's Cypher is portable)
• v0.1 spec finalized (docs/specs/v0.1.md)
• v0.1 implementation — ingest + recall + MCP + contradictions, integration tests on real compose stack
• Q7 clinical-labs spike — OFF-RAMP at 13.3 %; typed lab_record table per ADR-0009
• Q8 med-supersession spike — ADOPT_WITH_GAPS at 53.3 %; typed med_record table per ADR-0010
• Q9 wearable-throughput off-ramp (ADR-0011)
• v0.2 typed clinical reads landed (gnokee_lab_query + gnokee_med_query); Q7 lifted to 66.7 % ADOPT_WITH_GAPS, Q8 lifted to 93.3 % ADOPT
• Eval suite formalised across cross-tool (vs Mem0 / Graphiti-alone / basic-memory)
• First tagged release

Roadmap

Phase	Milestone
Spike	Q1 — Graphiti's bi-temporal model fits Omur + personal corpora
v0.1	Single-tenant, single-binary; ingest + retrieval + MCP; basic forgetting; Apache 2.0
v0.2	Typed clinical reads (labs + meds) per ADR-0009/0010; structured Postgres siblings to graphiti's narrative
v0.3	Omur consumes gnokee; multi-tenant validation; encrypted-body branch
v1.0	API stability commitment; published evals vs Mem0 / Graphiti-alone / basic-memory

Project name

gnokee = gno (Greek γνῶσις, "knowledge") + kee (English keep, custodian). Pun: "no key" — gnokee never holds keys, never decrypts (see docs/architecture.md § Privacy). Originally drafted as Veda; rebranded after namespace collision.

License

Apache-2.0. See LICENSE.

Contributing

Pre-v0.1: closed to external contributions until spec stabilizes. Watch the repo for issues / RFCs once v0.1 spec lands.

Source of truth

Design documents live in Notion (private) until first commit; from this point forward the repo is canonical. See AGENTS.md for the convention.