feat: add Honcho memory provider with PostgreSQL + pgvector stack

Add Honcho (https://github.com/plastic-labs/honcho) as a self-hosted
memory infrastructure for stateful AI agents.

Changes:
- ai/honcho/Dockerfile: multi-stage build from Honcho GitHub source
- ai/honcho/init.sql: CREATE EXTENSION vector for pgvector
- ai/compose.yml: add honcho-db (pgvector/pgvector:pg17-trixie) and
  honcho services with ai_backend/ai_net networking and Traefik labels
- build/honcho/config.toml: pre-configured for Ollama embeddings
  (nomic-embed-text via http://ollama:11434/v1), deriver/summary/dream
  disabled by default
- env/.env.example.honcho: sample env vars (HONCHO_DB_PASSWORD,
  LLM_OPENAI_API_KEY)

Usage:
  cp env/.env.example.honcho .env  # edit secrets
  mkdir -p /mnt/HoardingCow_docker_data/Honcho
  cp build/honcho/config.toml /mnt/HoardingCow_docker_data/Honcho/config.toml
  docker compose -f ai/compose.yml up honcho
This commit is contained in:
2026-05-20 14:19:58 -04:00
parent 7d48b9696e
commit 89a5e830b2
5 changed files with 285 additions and 0 deletions

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@@ -185,6 +185,94 @@ services:
- "traefik.http.services.paperclip.loadbalancer.server.port=3100"
# ---------------------------------------------------------------------------
# Honcho — Memory infrastructure for stateful AI agents
# Self-hosted memory server with pgvector for embedding storage.
# Defaults to Ollama for embeddings; configure LLM provider for full deriver
# and summarization support.
#
# API port: 8000
# Web: https://honcho.lazyworkhorse.net
# Docs: https://github.com/plastic-labs/honcho
# ---------------------------------------------------------------------------
honcho-db:
image: pgvector/pgvector:pg17-trixie
container_name: honcho-db
restart: unless-stopped
environment:
POSTGRES_DB: honcho
POSTGRES_USER: honcho
POSTGRES_PASSWORD: ${HONCHO_DB_PASSWORD:?HONCHO_DB_PASSWORD must be set}
healthcheck:
test: ["CMD-SHELL", "pg_isready -U honcho -d honcho"]
interval: 5s
timeout: 5s
retries: 10
volumes:
- /mnt/HoardingCow_docker_data/Honcho/pgdata:/var/lib/postgresql/data
- ./honcho/init.sql:/docker-entrypoint-initdb.d/init.sql
networks:
- ai_backend
honcho:
build:
context: ./honcho
dockerfile: Dockerfile
container_name: honcho
restart: unless-stopped
ports:
- "127.0.0.1:8000:8000"
depends_on:
honcho-db:
condition: service_healthy
environment:
DB_CONNECTION_URI: postgresql+psycopg://honcho:${HONCHO_DB_PASSWORD:?HONCHO_DB_PASSWORD must be set}@honcho-db:5432/honcho
LOG_LEVEL: INFO
LLM_OPENAI_API_KEY: ${LLM_OPENAI_API_KEY:-ollama}
volumes:
- /mnt/HoardingCow_docker_data/Honcho/config.toml:/app/config.toml
networks:
- ai_backend
- ai_net
labels:
- "traefik.enable=true"
- "traefik.docker.network=ai_net"
- "traefik.http.routers.honcho-http.rule=Host(`honcho.lazyworkhorse.net`)"
- "traefik.http.routers.honcho-http.entrypoints=web"
- "traefik.http.routers.honcho-http.middlewares=redirect-to-https"
- "traefik.http.routers.honcho-https.rule=Host(`honcho.lazyworkhorse.net`)"
- "traefik.http.routers.honcho-https.entrypoints=websecure"
- "traefik.http.routers.honcho-https.tls=true"
- "traefik.http.routers.honcho-https.tls.certresolver=njalla"
- "traefik.http.services.honcho.loadbalancer.server.port=8000"
holographic-memory:
build:
context: ./holographic-memory
image: holographic-memory:latest
container_name: holographic-memory
restart: unless-stopped
ports:
- "127.0.0.1:8100:8100"
environment:
- HOLOGRAPHIC_DB_PATH=/data/holographic/memory_store.db
- HOLOGRAPHIC_PORT=8100
- HOLOGRAPHIC_DEFAULT_TRUST=0.5
volumes:
- /mnt/HoardingCow_docker_data/HolographicMemory:/data/holographic
networks:
- ai_backend
healthcheck:
test: ["CMD", "python3", "-c", "import urllib.request; urllib.request.urlopen('http://127.0.0.1:8100/health')"]
interval: 30s
timeout: 5s
retries: 3
start_period: 10s
networks:
ai_net:
external: true

72
ai/honcho/Dockerfile Normal file
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@@ -0,0 +1,72 @@
# Honcho — Memory infrastructure for stateful AI agents
# Builds the Honcho FastAPI server from the official GitHub repository.
#
# Usage:
# docker compose build honcho
# docker compose up honcho
#
# Reference: https://github.com/plastic-labs/honcho
# ---------------------------------------------------------------------------
# Stage 1 — clone source & install dependencies
# ---------------------------------------------------------------------------
FROM python:3.13-slim-bookworm AS builder
RUN apt-get update && apt-get install -y git && rm -rf /var/lib/apt/lists/*
COPY --from=ghcr.io/astral-sh/uv:0.9.24 /uv /bin/uv
WORKDIR /src
RUN git clone --depth 1 --branch main https://github.com/plastic-labs/honcho.git .
ENV UV_COMPILE_BYTECODE=1
ENV UV_LINK_MODE=copy
# Install project dependencies (frozen from lockfile, no dev)
RUN --mount=type=cache,target=/root/.cache/uv \
uv sync --frozen --no-install-project --no-group dev
# ---------------------------------------------------------------------------
# Stage 2 — runtime image
# ---------------------------------------------------------------------------
FROM python:3.13-slim-bookworm AS runtime
COPY --from=ghcr.io/astral-sh/uv:0.9.24 /uv /bin/uv
RUN apt-get update && \
apt-get install -y --no-install-recommends ca-certificates && \
rm -rf /var/lib/apt/lists/*
WORKDIR /app
ENV UV_COMPILE_BYTECODE=1
ENV UV_LINK_MODE=copy
ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1
ENV PATH="/app/.venv/bin:$PATH"
ENV HOME=/app
ENV UV_CACHE_DIR=/tmp/uv-cache
# Copy the dependency layer from the builder
COPY --from=builder /src/uv.lock /src/pyproject.toml /app/
RUN --mount=type=cache,target=/root/.cache/uv \
uv sync --frozen --no-group dev
# Copy application source and config
COPY --from=builder /src/src/ /app/src/
COPY --from=builder /src/migrations/ /app/migrations/
COPY --from=builder /src/scripts/ /app/scripts/
COPY --from=builder /src/docker/ /app/docker/
COPY --from=builder /src/alembic.ini /app/alembic.ini
# Create non-root user
RUN addgroup --system app && \
adduser --system --ingroup app app && \
mkdir -p /tmp/uv-cache && \
chown -R app:app /app /tmp/uv-cache
USER app
EXPOSE 8000
# The entrypoint.sh script runs database migrations then starts the FastAPI server
ENTRYPOINT ["sh", "docker/entrypoint.sh"]

1
ai/honcho/init.sql Normal file
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@@ -0,0 +1 @@
CREATE EXTENSION IF NOT EXISTS vector;

93
build/honcho/config.toml Normal file
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@@ -0,0 +1,93 @@
# Honcho Configuration
# Pre-configured for self-hosted deployment with Ollama embeddings.
# Mount this file at /app/config.toml in the Honcho container.
#
# Environment variables override these values at runtime
# (e.g. DB_CONNECTION_URI, DERIVER_*).
[app]
LOG_LEVEL = "INFO"
NAMESPACE = "honcho"
SESSION_OBSERVERS_LIMIT = 10
GET_CONTEXT_MAX_TOKENS = 16384
EMBED_MESSAGES = true
[db]
# Connection URI is set via environment variable DB_CONNECTION_URI
SCHEMA = "public"
POOL_SIZE = 10
MAX_OVERFLOW = 20
POOL_TIMEOUT = 30
POOL_RECYCLE = 300
POOL_PRE_PING = true
POOL_USE_LIFO = true
SQL_DEBUG = false
[auth]
USE_AUTH = false
[llm]
DEFAULT_MAX_TOKENS = 4096
[embedding]
VECTOR_DIMENSIONS = 768
MAX_INPUT_TOKENS = 8192
MAX_TOKENS_PER_REQUEST = 2048
[embedding.model_config]
transport = "openai"
model = "nomic-embed-text:latest"
[embedding.model_config.overrides]
base_url = "http://ollama:11434/v1"
# Ollama does not require an API key; env var must be set to non-empty string
api_key_env = "LLM_OPENAI_API_KEY"
[deriver]
ENABLED = false
WORKERS = 1
POLLING_SLEEP_INTERVAL_SECONDS = 1.0
STALE_SESSION_TIMEOUT_MINUTES = 5
DEDUPLICATE = true
LOG_OBSERVATIONS = false
[deriver.model_config]
transport = "openai"
model = "qwen3.6:27b-q4_K_M"
[deriver.model_config.overrides]
base_url = "http://ollama:11434/v1"
api_key_env = "LLM_OPENAI_API_KEY"
[summary]
ENABLED = false
[summary.model_config]
transport = "openai"
model = "qwen3.6:27b-q4_K_M"
[summary.model_config.overrides]
base_url = "http://ollama:11434/v1"
api_key_env = "LLM_OPENAI_API_KEY"
[dream]
ENABLED = false
[dialectic]
MAX_OUTPUT_TOKENS = 4096
MAX_INPUT_TOKENS = 16384
[cache]
ENABLED = false
[vector_store]
TYPE = "pgvector"
[metrics]
ENABLED = false
[telemetry]
ENABLED = false
[sentry]
ENABLED = false

31
env/.env.example.honcho vendored Normal file
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@@ -0,0 +1,31 @@
# Honcho Environment Variables
# Copy this file to your .env (at the compose root or docker-compose working directory)
# and fill in the secrets.
#
# cp env/.env.example.honcho .env
#
# Then reference it from compose.yml:
# env_file:
# - path: .env
# required: true
# ---------------------------------------------------------------------------
# Database
# ---------------------------------------------------------------------------
# PostgreSQL connection string for Honcho.
# The password must match HONCHO_DB_PASSWORD below.
HONCHO_DB_PASSWORD=change_me_to_a_strong_random_password
# ---------------------------------------------------------------------------
# LLM Provider
# ---------------------------------------------------------------------------
# Ollama does not require a real API key, but the env var must be set to a
# non-empty string for the OpenAI-compatible client to connect.
LLM_OPENAI_API_KEY=ollama
# ---------------------------------------------------------------------------
# Honcho Server
# ---------------------------------------------------------------------------
# Honcho will pick up DB_CONNECTION_URI from the compose environment.
# You can override additional settings here if needed.
# LOG_LEVEL=INFO