Three things found by actually running the server over stdio against a live backend
instead of describing it.
1. recall ignored 'limit'. The backend treats it as a retrieval hint and returns
everything inside its own token budget — 113 facts, 43 KB of JSON, for a request
that asked for 2. The tool's own description ('Max results') was therefore false,
and every recall spent roughly 10k tokens of the caller's context. The MCP layer
now enforces the requested limit and reports 'N of M' when it truncated:
limit=2 goes from 43541 to 1000 chars.
2. serverInfo.version said 1.0.0 while package.json and server.json say 0.1.0. The
MCP registry validates the resolved package against the manifest, so a version
that disagrees with the tarball is a review failure.
3. The README claimed 'Claude Code, OpenClaw, Cursor, etc.' None of those was tested.
Replaced with what was measured — MCP 2025-06-18, initialize/tools/list/tools/call
round-trip, memory_recall returning real results over stdio — plus the Claude Code
config we actually run.
Add MiniMax as a supported LLM provider via the OpenAI-compatible interface.
- Register MiniMax in the provider factory and valid providers list
- Set default base URL to https://api.minimax.io/v1
- Set default model to MiniMax-M2.5 in PROVIDER_DEFAULT_MODELS
- Add temperature clamping for MiniMax (must be >0, ≤1.0)
- Add API key validation (MiniMax requires an API key)
- Add MiniMax configuration example to .env.example
- Update documentation (models.md, configuration.md, embed.md, CLAUDE.md, README.md)
- Add unit and integration tests for MiniMax provider
Co-authored-by: octo-patch <octo-patch@users.noreply.github.com>
The waitlist is no longer needed. Update all references from
vectorize.io/hindsight/cloud to ui.hindsight.vectorize.io/signup
and change "request early access" language to "sign up".
Fix doc to increase the developer experience...
- if the code is intended to be a CommonJS by using `require` then you have to wrap `await` calls in an async function
- calling `client.recall` with using the results
Update docs link from vectorize-io.github.io/hindsight to
hindsight.vectorize.io.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
