hermes-agent/plugins/memory/hindsight
kshitijk4poor 4df62d239e docs(hindsight): correct recall_types scope — tool path is also narrowed
The original change's description and README claimed the per-call
hindsight_recall tool was unaffected by the new observation-only default.
That is inaccurate: hindsight_recall reads the same self._recall_types
instance attribute as the auto-recall prefetch path, and RECALL_SCHEMA
exposes no per-call types argument, so the model cannot override it.
Narrowing the default narrows BOTH paths.

Corrects the README behavior-change note, the config-table row, and the
get_config_schema description to reflect that recall_types applies to
both auto-recall and the hindsight_recall tool.
2026-05-28 13:07:20 -07:00
..
__init__.py docs(hindsight): correct recall_types scope — tool path is also narrowed 2026-05-28 13:07:20 -07:00
plugin.yaml feat(hindsight): feature parity, setup wizard, and config improvements 2026-04-08 23:54:15 -07:00
README.md docs(hindsight): correct recall_types scope — tool path is also narrowed 2026-05-28 13:07:20 -07:00

Hindsight Memory Provider

Long-term memory with knowledge graph, entity resolution, and multi-strategy retrieval. Supports cloud, local embedded, and local external modes.

Requirements

  • Cloud: API key from ui.hindsight.vectorize.io
  • Local Embedded: API key for a supported LLM provider (OpenAI, Anthropic, Gemini, Groq, OpenRouter, MiniMax, Ollama, or any OpenAI-compatible endpoint). Embeddings and reranking run locally — no additional API keys needed.
  • Local External: A running Hindsight instance (Docker or self-hosted) reachable over HTTP.

Setup

hermes memory setup    # select "hindsight"

The setup wizard will install dependencies automatically via uv and walk you through configuration.

Or manually (cloud mode with defaults):

hermes config set memory.provider hindsight
echo "HINDSIGHT_API_KEY=your-key" >> ~/.hermes/.env

Cloud

Connects to the Hindsight Cloud API. Requires an API key from ui.hindsight.vectorize.io.

Local Embedded

Hermes spins up a local Hindsight daemon with built-in PostgreSQL. Requires an LLM API key for memory extraction and synthesis. The daemon starts automatically in the background on first use and stops after 5 minutes of inactivity.

Supports any OpenAI-compatible LLM endpoint (llama.cpp, vLLM, LM Studio, etc.) — pick openai_compatible as the provider and enter the base URL.

Daemon startup logs: ~/.hermes/logs/hindsight-embed.log Daemon runtime logs: ~/.hindsight/profiles/<profile>.log

To open the Hindsight web UI (local embedded mode only):

hindsight-embed -p hermes ui start

Local External

Points the plugin at an existing Hindsight instance you're already running (Docker, self-hosted, etc.). No daemon management — just a URL and an optional API key.

Config

Config file: ~/.hermes/hindsight/config.json

Connection

Key Default Description
mode cloud cloud, local_embedded, or local_external
api_url https://api.hindsight.vectorize.io API URL (cloud and local_external modes)

Memory Bank

Key Default Description
bank_id hermes Memory bank name (static fallback used when bank_id_template is unset or resolves empty)
bank_id_template Optional template to derive the bank name dynamically. Placeholders: {profile}, {workspace}, {platform}, {user}, {session}. Example: hermes-{profile} isolates memory per active Hermes profile. Empty placeholders collapse cleanly (e.g. hermes-{user} with no user becomes hermes).
bank_mission Reflect mission (identity/framing for reflect reasoning). Applied via Banks API.
bank_retain_mission Retain mission (steers what gets extracted). Applied via Banks API.

Recall

Key Default Description
recall_budget mid Recall thoroughness: low / mid / high
recall_prefetch_method recall Auto-recall method: recall (raw facts) or reflect (LLM synthesis)
recall_max_tokens 4096 Maximum tokens for recall results
recall_max_input_chars 800 Maximum input query length for auto-recall
recall_prompt_preamble Custom preamble for recalled memories in context
recall_tags Tags to filter when searching memories
recall_tags_match any Tag matching mode: any / all / any_strict / all_strict
recall_types observation Fact types surfaced by recall (both auto-recall and the hindsight_recall tool). Comma-separated string or JSON list. Default narrowed to observation only (see "Behavior change" below). Set to observation,world,experience to also include raw facts.
auto_recall true Automatically recall memories before each turn

Behavior change — recall_types defaults to observation only.

Previously recall returned all three fact types. It now returns only observations.

Per Hindsight's docs, observations are the consolidated knowledge layer Hindsight builds on top of raw facts: deduplicated beliefs grounded in evidence, refined as new facts arrive, with proof counts and freshness signals. Raw world / experience facts are the individual supporting evidence that feeds them. For per-turn context injection, observations are denser per token and avoid feeding the model multiple raw facts that one observation already summarizes.

Restore the broad recall with "recall_types": "observation,world,experience" (string or JSON list) in ~/.hermes/hindsight/config.json. This applies to both auto-recall and the hindsight_recall tool — both read the same recall_types setting (the tool schema has no per-call types argument), so narrowing the default narrows both paths.

Retain

Key Default Description
auto_retain true Automatically retain conversation turns
retain_async true Process retain asynchronously on the Hindsight server
retain_every_n_turns 1 Retain every N turns (1 = every turn)
retain_context conversation between Hermes Agent and the User Context label for retained memories
retain_tags Default tags applied to retained memories; merged with per-call tool tags
retain_source Optional metadata.source attached to retained memories
retain_user_prefix User Label used before user turns in auto-retained transcripts
retain_assistant_prefix Assistant Label used before assistant turns in auto-retained transcripts

Integration

Key Default Description
memory_mode hybrid How memories are integrated into the agent

memory_mode:

  • hybrid — automatic context injection + tools available to the LLM
  • context — automatic injection only, no tools exposed
  • tools — tools only, no automatic injection

Local Embedded LLM

Key Default Description
llm_provider openai openai, anthropic, gemini, groq, openrouter, minimax, ollama, lmstudio, openai_compatible
llm_model per-provider Model name (e.g. gpt-4o-mini, qwen/qwen3.5-9b)
llm_base_url Endpoint URL for openai_compatible (e.g. http://192.168.1.10:8080/v1)

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; supports optional per-call tags
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_LLM_BASE_URL LLM Base URL for local mode (e.g. OpenRouter)
HINDSIGHT_API_URL Override API endpoint
HINDSIGHT_BANK_ID Override bank name
HINDSIGHT_BUDGET Override recall budget
HINDSIGHT_MODE Override mode (cloud, local_embedded, local_external)

Client Version

Requires hindsight-client >= 0.4.22. The plugin auto-upgrades on session start if an older version is detected.