Hindsight memory integration for Vercel AI SDK - Give your AI agents persistent, human-like memory
npm install @vectorize-io/hindsight-ai-sdkGive your AI agents persistent, human-like memory using Hindsight with the Vercel AI SDK.
``bash`
npm install @vectorize-io/hindsight-ai-sdk @vectorize-io/hindsight-client ai zod
`typescript
import { HindsightClient } from '@vectorize-io/hindsight-client';
import { createHindsightTools } from '@vectorize-io/hindsight-ai-sdk';
import { generateText } from 'ai';
import { anthropic } from '@ai-sdk/anthropic';
// 1. Initialize Hindsight client
const hindsightClient = new HindsightClient({
apiUrl: 'http://localhost:8000',
});
// 2. Create memory tools
const tools = createHindsightTools({ client: hindsightClient });
// 3. Use with AI SDK
const result = await generateText({
model: anthropic('claude-sonnet-4-20250514'),
tools,
system: You have long-term memory. Use:
- 'recall' to search past conversations
- 'retain' to remember important information
- 'reflect' to synthesize insights from memories,
prompt: 'Remember that Alice loves hiking and prefers spicy food',
});
console.log(result.text);
`
✅ Three Memory Tools: retain (store), recall (retrieve), and reflect (reason over memories)generateText
✅ AI SDK 6 Native: Works with , streamText, and ToolLoopAgent
✅ Multi-User Support: Dynamic bank IDs per call for multi-user scenarios
✅ Type-Safe: Full TypeScript support with Zod schemas
✅ Flexible Client: Works with the official TypeScript client or custom HTTP clients
The complete documentation includes:
- Detailed tool descriptions and parameters
- Advanced usage patterns (streaming, multi-user, ToolLoopAgent)
- HTTP client example (no dependencies)
- TypeScript types and API reference
- Best practices and system prompt examples
`bashInstall and run with embedded mode (no setup required)
uvx hindsight-embed@latest -p myapp daemon start
Full examples are available in the GitHub repository.
- Documentation
- GitHub Issues
- Email: support@vectorize.io
MIT