ci: check compatibility with python 3.11, 3.12 and 3.13

.github/workflows/test.yml

@@ -38,6 +38,29 @@ jobs:
       working-directory: ./${{ matrix.path }}
       run: uv build
 
+  build-api-python-versions:
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python-version: ['3.11', '3.12', '3.13']
+
+    steps:
+    - uses: actions/checkout@v4
+
+    - name: Install uv
+      uses: astral-sh/setup-uv@v5
+      with:
+        enable-cache: true
+
+    - name: Set up Python ${{ matrix.python-version }}
+      uses: actions/setup-python@v5
+      with:
+        python-version: ${{ matrix.python-version }}
+
+    - name: Build hindsight-api
+      working-directory: ./hindsight-api
+      run: uv build
+
   build-typescript-client:
     runs-on: ubuntu-latest
 

hindsight-api/README.md

@@ -1 +1,137 @@
-# Memory 
+# Hindsight API
+
+**Memory System for AI Agents** — Temporal + Semantic + Entity Memory Architecture using PostgreSQL with pgvector.
+
+Hindsight gives AI agents persistent memory that works like human memory: it stores facts, tracks entities and relationships, handles temporal reasoning ("what happened last spring?"), and forms opinions based on configurable disposition traits.
+
+## Installation
+
+```bash
+pip install hindsight-api
+```
+
+## Quick Start
+
+### Run the Server
+
+```bash
+# Set your LLM provider
+export HINDSIGHT_API_LLM_PROVIDER=openai
+export HINDSIGHT_API_LLM_API_KEY=sk-xxxxxxxxxxxx
+
+# Start the server (uses embedded PostgreSQL by default)
+hindsight-api
+```
+
+The server starts at http://localhost:8888 with:
+- REST API for memory operations
+- MCP server at `/mcp` for tool-use integration
+
+### Use the Python API
+
+```python
+from hindsight_api import MemoryEngine
+
+# Create and initialize the memory engine
+memory = MemoryEngine()
+await memory.initialize()
+
+# Create a memory bank for your agent
+bank = await memory.create_memory_bank(
+    name="my-assistant",
+    background="A helpful coding assistant"
+)
+
+# Store a memory
+await memory.retain(
+    memory_bank_id=bank.id,
+    content="The user prefers Python for data science projects"
+)
+
+# Recall memories
+results = await memory.recall(
+    memory_bank_id=bank.id,
+    query="What programming language does the user prefer?"
+)
+
+# Reflect with reasoning
+response = await memory.reflect(
+    memory_bank_id=bank.id,
+    query="Should I recommend Python or R for this ML project?"
+)
+```
+
+## CLI Options
+
+```bash
+hindsight-api --help
+
+# Common options
+hindsight-api --port 9000          # Custom port (default: 8888)
+hindsight-api --host 127.0.0.1     # Bind to localhost only
+hindsight-api --workers 4          # Multiple worker processes
+hindsight-api --log-level debug    # Verbose logging
+```
+
+## Configuration
+
+Configure via environment variables:
+
+| Variable | Description | Default |
+|----------|-------------|---------|
+| `HINDSIGHT_API_DATABASE_URL` | PostgreSQL connection string | `pg0` (embedded) |
+| `HINDSIGHT_API_LLM_PROVIDER` | `openai`, `groq`, `gemini`, `ollama` | `openai` |
+| `HINDSIGHT_API_LLM_API_KEY` | API key for LLM provider | - |
+| `HINDSIGHT_API_LLM_MODEL` | Model name | `gpt-4o-mini` |
+| `HINDSIGHT_API_HOST` | Server bind address | `0.0.0.0` |
+| `HINDSIGHT_API_PORT` | Server port | `8888` |
+
+### Example with External PostgreSQL
+
+```bash
+export HINDSIGHT_API_DATABASE_URL=postgresql://user:pass@localhost:5432/hindsight
+export HINDSIGHT_API_LLM_PROVIDER=groq
+export HINDSIGHT_API_LLM_API_KEY=gsk_xxxxxxxxxxxx
+
+hindsight-api
+```
+
+## Docker
+
+```bash
+docker run --rm -it -p 8888:8888 \
+  -e HINDSIGHT_API_LLM_API_KEY=$OPENAI_API_KEY \
+  -v $HOME/.hindsight-docker:/home/hindsight/.pg0 \
+  ghcr.io/vectorize-io/hindsight:latest
+```
+
+## MCP Server
+
+For local MCP integration without running the full API server:
+
+```bash
+hindsight-local-mcp
+```
+
+This runs a stdio-based MCP server that can be used directly with MCP-compatible clients.
+
+## Key Features
+
+- **Multi-Strategy Retrieval (TEMPR)** — Semantic, keyword, graph, and temporal search combined with RRF fusion
+- **Entity Graph** — Automatic entity extraction and relationship tracking
+- **Temporal Reasoning** — Native support for time-based queries
+- **Disposition Traits** — Configurable skepticism, literalism, and empathy influence opinion formation
+- **Three Memory Types** — World facts, bank actions, and formed opinions with confidence scores
+
+## Documentation
+
+Full documentation: [https://hindsight.vectorize.io](https://hindsight.vectorize.io)
+
+- [Installation Guide](https://hindsight.vectorize.io/developer/installation)
+- [Configuration Reference](https://hindsight.vectorize.io/developer/configuration)
+- [API Reference](https://hindsight.vectorize.io/api-reference)
+- [Python SDK](https://hindsight.vectorize.io/sdks/python)
+
+## License
+
+Apache 2.0

hindsight-api/pyproject.toml

@@ -5,7 +5,7 @@ build-backend = "hatchling.build"
 [project]
 name = "hindsight-api"
 version = "0.1.6"
-description = "Temporal + Semantic + Entity Memory System for AI agents using PostgreSQL"
+description = "Hindsight: Agent Memory That Works Like Human Memory"
 readme = "README.md"
 requires-python = ">=3.11"
 dependencies = [
@@ -25,7 +25,7 @@ dependencies = [
     "greenlet>=3.2.4",
     "psycopg2-binary>=2.9.11",
     "transformers>=4.30.0,<4.46.0",
-    "torch>=2.0.0,<2.6.0",
+    "torch>=2.0.0",
     "tiktoken>=0.12.0",
     "httpx>=0.27.0",
     "fastmcp>=2.3.0",

hindsight-docs/docs/sdks/integrations/local-mcp.md

@@ -16,7 +16,7 @@ This is ideal for:
 ### With uvx (recommended)
 
 ```bash
-uvx hindsight-api@latest hindsight-local-mcp
+uvx --from hindsight-api hindsight-local-mcp
 ```
 
 ### With pip
@@ -35,7 +35,7 @@ Add to your Claude Code MCP settings (`~/.claude/claude_desktop_config.json`):
   "mcpServers": {
     "hindsight": {
       "command": "uvx",
-      "args": ["hindsight-api@latest", "hindsight-local-mcp"],
+      "args": ["--from", "hindsight-api", "hindsight-local-mcp"],
       "env": {
         "HINDSIGHT_API_LLM_API_KEY": "your-openai-key"
       }
@@ -53,7 +53,7 @@ By default, memories are stored in a bank called `mcp`. To use a different bank:
   "mcpServers": {
     "hindsight": {
       "command": "uvx",
-      "args": ["hindsight-api@latest", "hindsight-local-mcp"],
+      "args": ["--from", "hindsight-api", "hindsight-local-mcp"],
       "env": {
         "HINDSIGHT_API_LLM_API_KEY": "your-openai-key",
         "HINDSIGHT_API_MCP_LOCAL_BANK_ID": "my-personal-memory"

hindsight/README.md

@@ -1,6 +1,6 @@
 # hindsight-all
 
-All-in-one package for Hindsight - Semantic memory system with personality-driven thinking for AI agents.
+All-in-one package for Hindsight - Agent Memory That Works Like Human Memory
 
 ## Quick Start
 

hindsight/pyproject.toml

@@ -5,7 +5,7 @@ build-backend = "hatchling.build"
 [project]
 name = "hindsight-all"
 version = "0.1.6"
-description = "All-in-one package for Hindsight - Semantic memory system with personality-driven thinking"
+description = "Hindsight: Agent Memory That Works Like Human Memory - All-in-One Bundle"
 readme = "README.md"
 requires-python = ">=3.11"
 dependencies = [