* Fix reflect based_on population and enforce full hierarchical retrieval
Problem 1: based_on field was incomplete
- search_observations results were never extracted into based_on, so
observations used by the agent were invisible to callers
- search_mental_models and get_mental_model used non-existent fields
(summary/description) instead of the actual content field, producing
empty text in based_on entries
- A duplicate unreachable elif block for search_mental_models was dead
code (the first identical condition always matched)
Problem 2: mental models could produce "I don't have information"
- When a bank has mental models, the agent's tool_choice forcing only
covered iteration 0 (search_mental_models). Iterations 1+ were auto,
allowing the LLM to short-circuit without ever searching observations
or raw facts. Combined with the LOW budget prompt encouraging speed,
this meant the agent would often stop after a single tool call.
- This created a self-reinforcing failure loop: if a mental model
refresh produced "I don't have information" (e.g. due to the agent
skipping recall), subsequent reflects would find that content and
trust it, never searching deeper.
Fix: extend forced tool_choice to cover the full hierarchical retrieval
path before allowing auto mode:
- With mental models: search_mental_models(0) → search_observations(1)
→ recall(2) → auto(3+)
- Without mental models: search_observations(0) → recall(1) → auto(2+)
This matches the retrieval strategy documented in the system prompt and
ensures all three knowledge levels are always consulted. The agent still
has 2-3 auto iterations (with LOW budget, max_iterations=5) for
additional searches or calling done().
* Add Umami analytics tracking to docs site
Add conditional Umami script injection to docusaurus.config.ts and pass
UMAMI_URL/UMAMI_WEBSITE_ID env vars in the GitHub Pages deploy workflow.
The tracking script only loads when both env vars are set.
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".
* doc: introduce mental models blog post
Write blog post introducing Mental Models in Hindsight 0.4.0:
- Evolution from observations and opinions
- How mental models work (consolidation, evidence tracking)
- Breaking changes and migration path
- Environment variable to enable (experimental)
- Agentic reflect explanation
* updates
* Update 2026-01-26-learning-capabilities.md
* fix: doc build issues
- Add missing code snippets for versioned docs (recall-opinions-only, recall-include-entities, bank-background)
- Fix broken links by using relative paths for version compatibility
- Update blog post title to sentence case
- Clear versions.json since v0.3 versioned docs don't exist yet
- Enable INCLUDE_CURRENT_VERSION in build script
* fix: update doc links after rebase
- Fix blog post to link to correct pages (/developer/api/mental-models and /developer/observations)
- Fix CLI docs to link to /api-reference instead of /api
* feat: add directives section to blog post
- Update intro to mention three layers of knowledge
- Add concise Directives section for compliance/guardrails
- Add directives to resources section
- Keep focus on learning capabilities (observations and mental models)
* fix: revert intro to focus on learning capabilities only
Directives are a separate feature for compliance/guardrails, not a learning capability. The blog post is about observations and mental models.
* fix: misc fixes for observations and mental models
* feat: improve graph retrieval for observations
- Update LinkExpansionRetriever to traverse through source_memory_ids
for observation entity connections (avoiding data duplication)
- Remove entity link copy from world facts to observations in consolidator
- Add tests for link expansion graph retrieval
- Add directives_applied field to ReflectResult
- Include user's other changes (CLI, docs, client updates)
* fix: CI test failures
- Add mental_model_id parameter to create_mental_model function
- Fix ToolCallTrace not including reason field from ToolCall
- Improve test_link_expansion_observation_graph_retrieval to wait for consolidation with retry
* chore: reduce link expansion log verbosity
* Revert "chore: reduce link expansion log verbosity"
This reverts commit 3ce759391cead1012157785fa78fef16ef9bfe3b.
* feat: add semantic/temporal/entity links as fallback in graph retrieval
- Add fallback query for semantic, temporal, and entity links from memory_links
- Check both directions (outgoing and incoming links)
- Weight fallback results at 0.5x to prioritize entity links via unit_entities
- Fixes graph retrieval returning 0 when data has cross-cluster temporal connections
* fix: enable observations fixture for link expansion test
- Add enable_observations fixture to ensure observations are created
- Increase wait time from 10 to 30 seconds for CI reliability
* bump pg0 0.11.x and improve documentation
* bump pg0 0.11.x and improve documentation
* bump pg0 0.11.x and improve documentation
* ci: test notebooks on ci
* ci: test notebooks on ci
* rm llms-full from repo
* formatting
* formatting
Update url and baseUrl for hindsight.vectorize.io custom domain.
With custom domains, GitHub Pages serves from root path instead of
project subdirectory.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
