/hindsight-docs

Continue

Long-term memory for the Continue.dev coding assistant, powered by Hindsight. Recall relevant project memory directly into chat, and optionally let the agent recall and retain automatically in agent mode.

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How It Works

Continue has no hook that runs before a message is sent, but it supports two native extension points that hindsight-continue uses:

• HTTP context provider (precise recall): type @hindsight <query> (or a bare @hindsight) in Continue chat and relevant memory is recalled and injected into the model's context at query time. The package ships a small adapter server that implements Continue's HTTP context-provider contract ({query, fullInput, options, workspacePath} → context items) on top of Hindsight recall.
• MCP server + rules (automatic): point Continue's agent mode at the Hindsight MCP server for retain/recall/reflect tools, with a rules file that instructs the agent to recall at the start of every task and retain durable facts.

Memory is scoped per bank — use one bank per project so context from one codebase doesn't leak into another.

Setup

pip install hindsight-continue

Run the adapter, pointing it at your Hindsight instance and bank:

export HINDSIGHT_API_KEY=hsk_...
export HINDSIGHT_CONTINUE_BANK_ID=my-project
hindsight-continue            # serves on 127.0.0.1:8123

Then register it in Continue's config.yaml:

context:
  - provider: http
    params:
      url: "http://127.0.0.1:8123/"
      title: hindsight
      displayTitle: Hindsight
      description: Recall long-term memory from Hindsight

Use a Hindsight Cloud key, or point at a self-hosted server with HINDSIGHT_API_URL=http://localhost:8888.

Automatic recall (optional)

For hands-off recall and retain in agent mode, wire the Hindsight MCP server into Continue and add a "recall first" rule. See the examples/.continue/ assets in the integration directory.

Limitation

Continue has no pre-prompt hook, so memory cannot be injected fully passively on every message. The @hindsight provider gives precise, query-time recall on demand; the MCP + rules setup gives automatic recall in agent mode, subject to the agent following the rule.