fix(hindsight): fix hindsight memory plugin and memory provider setup

hermes_cli/memory_setup.py

@@ -151,6 +151,7 @@ def _install_dependencies(provider_name: str) -> None:
         "honcho-ai": "honcho",
         "mem0ai": "mem0",
         "hindsight-client": "hindsight_client",
+        "hindsight-all": "hindsight",
     }
 
     # Check which packages are missing
@@ -166,9 +167,18 @@ def _install_dependencies(provider_name: str) -> None:
         return
 
     print(f"\n  Installing dependencies: {', '.join(missing)}")
+
+    import shutil
+    uv_path = shutil.which("uv")
+    if not uv_path:
+        print(f"  ⚠ uv not found — cannot install dependencies")
+        print(f"  Install uv: curl -LsSf https://astral.sh/uv/install.sh | sh")
+        print(f"  Then re-run: hermes memory setup")
+        return
+
     try:
         subprocess.run(
-            [sys.executable, "-m", "pip", "install", "--quiet"] + missing,
+            [uv_path, "pip", "install", "--python", sys.executable, "--quiet"] + missing,
             check=True, timeout=120,
             capture_output=True,
         )
@@ -178,10 +188,10 @@ def _install_dependencies(provider_name: str) -> None:
         stderr = (e.stderr or b"").decode()[:200]
         if stderr:
             print(f"    {stderr}")
-        print(f"  Run manually: pip install {' '.join(missing)}")
+        print(f"  Run manually: uv pip install --python {sys.executable} {' '.join(missing)}")
     except Exception as e:
         print(f"  ⚠ Install failed: {e}")
-        print(f"  Run manually: pip install {' '.join(missing)}")
+        print(f"  Run manually: uv pip install --python {sys.executable} {' '.join(missing)}")
 
     # Also show external dependencies (non-pip) if any
     ext_deps = meta.get("external_dependencies", [])
@@ -275,7 +285,6 @@ def cmd_setup(args) -> None:
 
     schema = provider.get_config_schema() if hasattr(provider, "get_config_schema") else []
 
-    # Provider config section
     provider_config = config["memory"].get(name, {})
     if not isinstance(provider_config, dict):
         provider_config = {}
@@ -290,11 +299,25 @@ def cmd_setup(args) -> None:
             key = field["key"]
             desc = field.get("description", key)
             default = field.get("default")
+            # Dynamic default: look up default from another field's value
+            default_from = field.get("default_from")
+            if default_from and isinstance(default_from, dict):
+                ref_field = default_from.get("field", "")
+                ref_map = default_from.get("map", {})
+                ref_value = provider_config.get(ref_field, "")
+                if ref_value and ref_value in ref_map:
+                    default = ref_map[ref_value]
             is_secret = field.get("secret", False)
             choices = field.get("choices")
             env_var = field.get("env_var")
             url = field.get("url")
 
+            # Skip fields whose "when" condition doesn't match
+            when = field.get("when")
+            if when and isinstance(when, dict):
+                if not all(provider_config.get(k) == v for k, v in when.items()):
+                    continue
+
             if choices and not is_secret:
                 # Use curses picker for choice fields
                 choice_items = [(c, "") for c in choices]

plugins/memory/hindsight/README.md

@@ -1,38 +1,98 @@
 # Hindsight Memory Provider
 
-Long-term memory with knowledge graph, entity resolution, and multi-strategy retrieval. Supports cloud and local modes.
+Long-term memory with knowledge graph, entity resolution, and multi-strategy retrieval. Supports cloud and local (embedded) modes.
 
 ## Requirements
 
-- Cloud: `pip install hindsight-client` + API key from [app.hindsight.vectorize.io](https://app.hindsight.vectorize.io)
-- Local: `pip install hindsight` + LLM API key for embeddings
+- **Cloud:** API key from [ui.hindsight.vectorize.io](https://ui.hindsight.vectorize.io)
+- **Local:** API key for a supported LLM provider (OpenAI, Anthropic, Gemini, Groq, MiniMax, or Ollama). Embeddings and reranking run locally — no additional API keys needed.
 
 ## Setup
 
 ```bash
 hermes memory setup    # select "hindsight"
 ```
 
-Or manually:
+The setup wizard will install dependencies automatically via `uv` and walk you through configuration.
+
+Or manually (cloud mode with defaults):
 ```bash
 hermes config set memory.provider hindsight
 echo "HINDSIGHT_API_KEY=your-key" >> ~/.hermes/.env
 ```
 
+### Cloud Mode
+
+Connects to the Hindsight Cloud API. Requires an API key from [ui.hindsight.vectorize.io](https://ui.hindsight.vectorize.io).
+
+### Local Mode
+
+Runs an embedded Hindsight server with built-in PostgreSQL. Requires an LLM API key (e.g. Groq, OpenAI, Anthropic) for memory extraction and synthesis. The daemon starts automatically in the background on first use and stops after 5 minutes of inactivity.
+
+Daemon startup logs: `~/.hermes/logs/hindsight-embed.log`
+Daemon runtime logs: `~/.hindsight/profiles/<profile>.log`
+
 ## Config
 
-Config file: `$HERMES_HOME/hindsight/config.json` (or `~/.hindsight/config.json` legacy)
+Config file: `~/.hermes/hindsight/config.json`
+
+### Connection
 
 | Key | Default | Description |
 |-----|---------|-------------|
 | `mode` | `cloud` | `cloud` or `local` |
-| `bank_id` | `hermes` | Memory bank identifier |
-| `budget` | `mid` | Recall thoroughness: `low`/`mid`/`high` |
+| `api_url` | `https://api.hindsight.vectorize.io` | API URL (cloud mode) |
+| `api_url` | `http://localhost:8888` | API URL (local mode, unused — daemon manages its own port) |
+
+### Memory
+
+| Key | Default | Description |
+|-----|---------|-------------|
+| `bank_id` | `hermes` | Memory bank name |
+| `budget` | `mid` | Recall thoroughness: `low` / `mid` / `high` |
+
+### Integration
+
+| Key | Default | Description |
+|-----|---------|-------------|
+| `memory_mode` | `hybrid` | How memories are integrated into the agent |
+| `prefetch_method` | `recall` | Method for automatic context injection |
+
+**memory_mode:**
+- `hybrid` — automatic context injection + tools available to the LLM
+- `context` — automatic injection only, no tools exposed
+- `tools` — tools only, no automatic injection
+
+**prefetch_method:**
+- `recall` — injects raw memory facts (fast)
+- `reflect` — injects LLM-synthesized summary (slower, more coherent)
+
+### Local Mode LLM
+
+| Key | Default | Description |
+|-----|---------|-------------|
+| `llm_provider` | `openai` | LLM provider: `openai`, `anthropic`, `gemini`, `groq`, `minimax`, `ollama` |
+| `llm_model` | per-provider | Model name (e.g. `gpt-4o-mini`, `openai/gpt-oss-120b`) |
+
+The LLM API key is stored in `~/.hermes/.env` as `HINDSIGHT_LLM_API_KEY`.
 
 ## Tools
 
+Available in `hybrid` and `tools` memory modes:
+
 | Tool | Description |
 |------|-------------|
 | `hindsight_retain` | Store information with auto entity extraction |
 | `hindsight_recall` | Multi-strategy search (semantic + entity graph) |
 | `hindsight_reflect` | Cross-memory synthesis (LLM-powered) |
+
+## Environment Variables
+
+| Variable | Description |
+|----------|-------------|
+| `HINDSIGHT_API_KEY` | API key for Hindsight Cloud |
+| `HINDSIGHT_LLM_API_KEY` | LLM API key for local mode |
+| `HINDSIGHT_API_URL` | Override API endpoint |
+| `HINDSIGHT_BANK_ID` | Override bank name |
+| `HINDSIGHT_BUDGET` | Override recall budget |
+| `HINDSIGHT_MODE` | Override mode (`cloud` / `local`) |