evermind-ai--everos/docs/release-notes-1.1.0.md

EverOS 1.1.0

EverOS 1.1.0 expands the memory system beyond user episodes with first-class knowledge management, reflection, and stronger operational guarantees around search, persistence, and API contracts.

Highlights

• Added Knowledge APIs and storage for document creation, listing, patching, deletion, taxonomy handling, and knowledge-topic search.
• Added Reflection orchestration for periodically merging and refining episode clusters.
• Expanded OME runtime support with event IDs, run-record storage migration, configuration reload behavior, and testing harness improvements.
• Improved search and get behavior for agent-owned memory, including agent cases, agent skills, and owner-type isolation.
• Reworked API error handling around typed exception handlers and consistent error envelopes.
• Updated docs, OpenAPI schema, configuration examples, and test coverage for the 1.1.0 surface area.

Compatibility Notes

• Existing local TUI demo registration remains available.
• Existing DashScope rerank support is preserved; the DashScope provider file is not replaced by the 1.1.0 update.
• The release intentionally leaves directories outside the 1.1.0 update scope, including existing use-case and iOS demo material, untouched.
• Knowledge search requires configured embedding and rerank providers. Missing providers now fail explicitly with configuration errors rather than silently returning degraded results.

Upgrade Notes

• Regenerate or review docs/openapi.json after route or DTO changes.
• Run uv sync --frozen against the updated uv.lock.
• Review config.example.toml, src/everos/config/default.toml, and src/everos/config/default_ome.toml for new Knowledge and OME settings.
• If running e2e tests without live provider credentials, use dummy provider environment variables for startup-only checks; live vector and rerank paths remain behind slow/live markers.

Verification

This release was checked with:

• uv run ruff check .
• uv run pytest tests/unit
• uv run pytest tests/integration
• uv run lint-imports
• uv run pytest tests/e2e with dummy LLM and embedding environment variables
• Targeted search/get regression tests for agent and deprecated-filter handling