| Name | Modified | Size | Downloads / Week |
|---|---|---|---|
| Parent folder | |||
| Beta v1.3.0 source code.tar.gz | 2025-12-20 | 699.9 kB | |
| Beta v1.3.0 source code.zip | 2025-12-20 | 790.8 kB | |
| README.md | 2025-12-20 | 3.9 kB | |
| Totals: 3 Items | 1.5 MB | 3 | |
Changelog
api simplification
- python sdk: simplified to zero-config
Memory()api matching javascript from openmemory.client import Memoryβmem = Memory()- works out of the box with sensible defaults (in-memory sqlite, fast tier, synthetic embeddings)
- optional configuration via environment variables or constructor
- breaking change: moved from
OpenMemoryclass toMemoryclass
benchmark suite rewrite
- implemented comprehensive benchmark suite in
temp/benchmarks/ - typescript-based using
tsxfor execution - supports longmemeval dataset evaluation
- multi-backend comparison (openmemory, mem0, zep, supermemory)
- created
src/main.tsconsolidated benchmark runner - environment validation
- backend instantiation checks
- sequential benchmark execution with detailed logging
β¨ features
core improvements
Memory.wipe(): added database wipe functionality for testingclear_allimplementation indb.tsfor postgres and sqlite- clears memories, vectors, waypoints, and users tables
-
useful for benchmark isolation and test cleanup
-
environment variable overrides:
OM_OLLAMA_MODEL: override ollama embedding modelOM_OPENAI_MODEL: override openai embedding modelOM_VEC_DIM: configure vector dimension (critical for embedding compatibility)OM_DB_PATH: sqlite database path (supports:memory:)
vector store enhancements
- added comprehensive logging to
PostgresVectorStore - logs vector storage operations with id, sector, dimension
- logs search operations with sector and result count
- aids in debugging retrieval issues
π bug fixes
- embedding configuration:
- fixed
models.tsto respectOM_OLLAMA_MODELenvironment variable - resolved dimension mismatch issues (768 vs 1536) for embeddinggemma
-
ensured
OM_TIER=deepuses semantic embeddings (not synthetic fallback) -
benchmark data isolation:
- implemented proper database reset between benchmark runs
- fixed simhash collision issues causing cross-user contamination
-
added
resetUser()functionality callingMemory.wipe() -
configuration loading:
- fixed dotenv timing issues in benchmark suite
- ensured environment variables load before openmemory-js initialization
- corrected dataset path resolution (
longmemeval_s.json)
π documentation
- comprehensive readme updates:
- root
README.md: language-agnostic, showcases both python & javascript sdks packages/openmemory-js/README.md: complete api reference, mcp integration, examples-
packages/openmemory-py/README.md: zero-config usage, all embedding providers -
api documentation:
- environment variables with descriptions
- cognitive sectors explanation
- performance tiers breakdown
- embedding provider configurations
π§ internal improvements
- type safety: added lint error handling in benchmark adapters
- code organization: separated generator, judge, and backend interfaces
- debug tooling: created dimension check script (
check_dim.ts) - logging standardization: consistent
[Component]prefix pattern
β οΈ breaking changes
- python sdk now uses
from openmemory.client import Memoryinstead offrom openmemory import OpenMemory Memory()constructor signature changed to accept optional parameters (was required)- benchmark suite moved to typescript (was python)
- Feature - Add Frontend Docker Image by @dflor003 in https://github.com/CaviraOSS/OpenMemory/pull/100
New Contributors
- @dflor003 made their first contribution in https://github.com/CaviraOSS/OpenMemory/pull/100
Full Changelog: https://github.com/CaviraOSS/OpenMemory/compare/v1.2.3...v1.3.0