Cursor

Biomimetic long-term memory for Cursor using Hindsight. Automatically recalls relevant project context at session start and retains conversation transcripts after each task — adapted to Cursor's hook-based plugin architecture with MCP for on-demand tools.

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How It Works

The Hindsight plugin uses two complementary mechanisms:

	Plugin Hooks (automatic)	MCP Tools (on-demand)
Install	pip install hindsight-cursor && hindsight-cursor init	Configured automatically by init
Recall	Session start — memories injected via additionalContext	Agent calls recall tool mid-session
Retain	Automatic on task stop	Agent calls retain tool explicitly
Reflect	Not available via hooks	Available as a tool
Best for	Ambient project memory with no user intervention	Targeted lookups and explicit memory operations

Both are set up by a single hindsight-cursor init command. Use --no-mcp to skip the MCP integration if you only want hooks.

Quick Start

# 1. Install the plugin
pip install hindsight-cursor
cd /path/to/your-project

# 2a. Connect to Hindsight Cloud (fastest — no local server needed)
hindsight-cursor init --api-url https://api.hindsight.vectorize.io --api-token YOUR_HINDSIGHT_API_TOKEN

# 2b. Or connect to a local Hindsight server
hindsight-cursor init --api-url http://localhost:8888

# 3. Fully quit and reopen Cursor — plugins load at startup

Sign up at Hindsight Cloud to get a token, or start Hindsight locally with Docker:

export OPENAI_API_KEY=your-key
docker run --rm -it --pull always -p 8888:8888 \
  -e HINDSIGHT_API_LLM_API_KEY=$OPENAI_API_KEY \
  -e HINDSIGHT_API_LLM_MODEL=gpt-4o-mini \
  -v $HOME/.hindsight-docker:/home/hindsight/.pg0 \
  ghcr.io/vectorize-io/hindsight:latest

What init does

• Copies plugin files into .cursor-plugin/hindsight-memory/
• Creates ~/.hindsight/cursor.json with your connection settings (if the file does not already exist)
• Writes .cursor/mcp.json with the Hindsight MCP endpoint for on-demand tools
• Use --force to overwrite an existing installation
• Use --no-mcp to skip the MCP configuration

caution

If you add the plugin to an already-open workspace, fully quit Cursor and reopen it. Plugins are loaded at startup — a simple window reload is not enough.

Features

• Session recall — at the start of each session, queries Hindsight for relevant project memories and injects them as context via additionalContext (invisible to the chat, visible to the agent)
• Auto-retain — after every task completion, extracts and retains conversation content to Hindsight for long-term storage
• On-demand MCP tools — recall, retain, and reflect tools for explicit mid-session memory operations
• On-demand recall skill — use the hindsight-recall skill for manual memory lookups
• Daemon management — can auto-start/stop hindsight-embed locally or connect to an external Hindsight server
• Dynamic bank IDs — supports per-agent, per-project, or per-session memory isolation
• Zero runtime dependencies — plugin scripts use pure Python stdlib only

Architecture

The plugin uses Cursor's hook system:

Hook	Event	Purpose
session_start.py	sessionStart	Session recall — query memories, inject as additionalContext
retain.py	stop	Auto-retain — extract transcript, POST to Hindsight

The sessionStart hook fires once when a new Cursor session begins. It performs a broad project-level recall and injects relevant memories as hidden context.

The init command also configures Cursor's MCP support (.cursor/mcp.json) to connect to Hindsight's MCP endpoint, giving the agent explicit recall, retain, and reflect tools for mid-session use.

Additionally, the plugin provides:

• Skill (hindsight-recall) — on-demand memory querying
• Rule (hindsight-memory.mdc) — always-on rule instructing the agent to leverage recalled memories and MCP tools

Connection Modes

1. External API (recommended for production)

Connect to a running Hindsight server (cloud or self-hosted). No local LLM needed — the server handles fact extraction.

{
  "hindsightApiUrl": "https://your-hindsight-server.com",
  "hindsightApiToken": "your-token"
}

2. Local Daemon (auto-managed)

The plugin automatically starts and stops hindsight-embed via uvx. Requires an LLM provider API key for local fact extraction.

Set an LLM provider:

export OPENAI_API_KEY="sk-your-key"
# or
export ANTHROPIC_API_KEY="your-key"

The model is selected automatically by the Hindsight API. To override, set HINDSIGHT_LLM_MODEL.

3. Existing Local Server

If you already have hindsight-embed running, leave hindsightApiUrl empty and set apiPort to match your server's port. The plugin will detect it automatically.

Configuration

All settings live in ~/.hindsight/cursor.json. Every setting can also be overridden via environment variables. The plugin ships with sensible defaults — you only need to configure what you want to change.

Loading order (later entries win):

1. Built-in defaults (hardcoded in the plugin)
2. Plugin settings.json (ships with the plugin, at CURSOR_PLUGIN_ROOT/settings.json)
3. User config (~/.hindsight/cursor.json — recommended for your overrides)
4. Environment variables

---

Connection & Daemon

Setting	Env Var	Default	Description
hindsightApiUrl	HINDSIGHT_API_URL	"" (empty)	URL of an external Hindsight API server. When empty, the plugin uses a local daemon instead.
hindsightApiToken	HINDSIGHT_API_TOKEN	null	Authentication token for the external API. Only needed when hindsightApiUrl is set.
apiPort	HINDSIGHT_API_PORT	9077	Port used by the local hindsight-embed daemon.
daemonIdleTimeout	HINDSIGHT_DAEMON_IDLE_TIMEOUT	300	Seconds of inactivity before the local daemon shuts itself down. 0 means never.
embedVersion	HINDSIGHT_EMBED_VERSION	"latest"	Which version of hindsight-embed to install via uvx.
embedPackagePath	HINDSIGHT_EMBED_PACKAGE_PATH	null	Local path to a hindsight-embed checkout for development.

---

LLM Provider (local daemon only)

These settings configure which LLM the local daemon uses for fact extraction. They are ignored when connecting to an external API.

Setting	Env Var	Default	Description
llmProvider	HINDSIGHT_LLM_PROVIDER	auto-detect	LLM provider: openai, anthropic, gemini, groq, ollama. Auto-detects by checking for API key env vars.
llmModel	HINDSIGHT_LLM_MODEL	provider default	Override the default model for the chosen provider.
llmApiKeyEnv	—	provider standard	Name of the env var holding the API key, if non-standard.

---

Memory Bank

A bank is an isolated memory store — like a separate "brain."

Setting	Env Var	Default	Description
bankId	HINDSIGHT_BANK_ID	"cursor"	The bank ID when dynamicBankId is false.
bankMission	HINDSIGHT_BANK_MISSION	generic assistant prompt	Description of the agent's identity and purpose.
dynamicBankId	HINDSIGHT_DYNAMIC_BANK_ID	false	When true, derives a unique bank ID from context fields (see dynamicBankGranularity).
dynamicBankGranularity	—	["agent", "project"]	Fields to combine for dynamic bank IDs: agent, project, session, channel, user.
bankIdPrefix	—	""	String prepended to all bank IDs for namespacing.
agentName	HINDSIGHT_AGENT_NAME	"cursor"	Name used for the agent field in dynamic bank ID derivation.

---

Session Recall

Session recall runs once at the start of each session. It queries Hindsight for relevant project memories and injects them into the agent's context as invisible additionalContext.

Setting	Env Var	Default	Description
autoRecall	HINDSIGHT_AUTO_RECALL	true	Master switch for session recall.
recallBudget	HINDSIGHT_RECALL_BUDGET	"mid"	Search thoroughness: "low", "mid", "high".
recallMaxTokens	HINDSIGHT_RECALL_MAX_TOKENS	1024	Max tokens in the recalled memory block.
recallTypes	—	["world", "experience"]	Memory types to retrieve.
recallMaxQueryChars	HINDSIGHT_RECALL_MAX_QUERY_CHARS	800	Max character length of the query.

---

Auto-Retain

Auto-retain runs after the agent completes a task. It extracts the conversation transcript and sends it to Hindsight.

Setting	Env Var	Default	Description
autoRetain	HINDSIGHT_AUTO_RETAIN	true	Master switch for auto-retain.
retainMode	HINDSIGHT_RETAIN_MODE	"full-session"	Retention strategy. "full-session" or "chunked".
retainEveryNTurns	HINDSIGHT_RETAIN_EVERY_N_TURNS	10	How often to retain. 1 = every turn.
retainOverlapTurns	—	2	Extra turns included from the previous chunk for continuity.
retainContext	HINDSIGHT_RETAIN_CONTEXT	"cursor"	Source label for retained memories.
retainToolCalls	—	false	Whether to include tool calls in the retained transcript.

---

Debug

Setting	Env Var	Default	Description
debug	HINDSIGHT_DEBUG	false	Enable verbose logging to stderr. Prefixed with [Hindsight].

Verifying Plugin Hooks

The plugin writes a status file on every hook invocation — even when no memories are found or retain is skipped. Check them to confirm hooks are firing:

# Default location when CURSOR_PLUGIN_DATA is not set:
cat ~/.hindsight/cursor-state/state/last_recall.json
cat ~/.hindsight/cursor-state/state/last_retain.json

Each file contains:

• saved_at — timestamp of the last invocation
• status — one of success, empty, skipped, or error
• bank_id — which bank was used (present on success and empty)
• mode — always plugin
• hook — sessionStart for recall
• result_count (recall) or message_count (retain) — present on success

If saved_at updates when you use Cursor, the hooks are firing. Check status to understand what happened.

Troubleshooting

Plugin not activating: Check that .cursor-plugin/plugin.json exists in the plugin directory. Enable "debug": true in ~/.hindsight/cursor.json and check stderr output.

Seeing "Ran Recall in hindsight" in the Agent Window? That is MCP, not the plugin. Plugin-based recall is silent — it injects context via additionalContext without a visible tool call. If you see explicit Hindsight tool calls, you have MCP configured in .cursor/mcp.json. Both can work together.

Recall returning no memories: Verify the Hindsight server is reachable (curl http://localhost:9077/health). Memories need at least one retain cycle.

Daemon not starting: Ensure an LLM API key is set. Review daemon logs at ~/.hindsight/profiles/cursor.log.

High latency on session start: The session recall hook has a 15-second timeout. Use recallBudget: "low" or reduce recallMaxTokens.