This release includes 1 breaking change for platform teams planning a safe upgrade.
Published 1mo
AI Agents & Assistants
✓ No known CVEs patched
✓ No known CVEs patched in this version
Topics
agentic-ai
ai-agents
ai-memory
boston-dynamics-spot
claude
cognitive-architecture
+13 more
cognitive-memory
context-engineering
graphrag
knowledge-graph
local-first
mcp
model-context-protocol
robot-memory
robotics
ros2
rust
vector-db
zenoh
Summary
AI summarySerialization switched from bincode to postcard, requiring migration.
Full changelog
v0.2.0
Breaking Changes
- Serialization: bincode → postcard — All write paths now use postcard. Read paths dual-decode (postcard-first, legacy fallback). Offline migration:
shodh-memory-server migrate --storage <path>.
New Features
- Entity salience reward loop — recall feedback propagates to graph (#217)
- NER filter expansion — 6 new entity filtering rules (#215)
- Curvature-weighted retrieval — graph-informed entity filtering (#214)
- Causal lineage inference — automatic on remember, 7 relation types
- Fact-aware recall scoring — high-confidence facts boost source memories
- Glacial fact decay — exponential half-life replaces linear decay
Fixes
- MCP process orphan bug — stdin EOF detection, WebSocket cleanup (#218)
- Docker image — pre-baked models, zero-download startup (#219)
- Temporal retrieval — unified parsing, created_at proximity (#197)
- MCP reliability — race condition, timeout, error handling (#196)
- MCP env vars — SHODH_HOST/SHODH_PORT respected (#195)
- Edge pruning log spam reduced to debug level
- ORT init logging auditable (eprintln before tracing init)
Infrastructure
- Postcard serialization with SHO envelope format tags
- SHA-256 checksum verification for Docker-baked models
- OOM fix: bincode decode limit 10MB
Breaking Changes
- Serialization changed from bincode to postcard; all write paths now use postcard, read paths dual-decode (postcard-first fallback). Offline migration required via `shodh-memory-server migrate --storage`.
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About varun29ankuS/shodh-memory
Cognitive memory for AI agents with Hebbian learning, 3-tier architecture, and knowledge graphs. Single ~15MB binary, runs offline on edge devices.
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Beta — feedback welcome: [email protected]