Release history
varun29ankuS/shodh-memory releases
Cognitive memory for AI agents with Hebbian learning, 3-tier architecture, and knowledge graphs. Single ~15MB binary, runs offline on edge devices.
All releases
9 shown
- 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`.
- Entity salience reward loop propagates recall feedback to graph
- NER filter expansion adds 6 new entity filtering rules
- Curvature-weighted retrieval incorporates graph-informed entity filtering
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
- Remediated semgrep-detected shell injection and command execution vulnerabilities (fix(security))
- Unified shodh CLI implementation
Full changelog
What's Changed
- fix(security): remediate semgrep shell injection and command execution findings by @gourmetfire in https://github.com/varun29ankuS/shodh-memory/pull/111
- feat: unified shodh CLI (closes #12) by @varun29ankuS in https://github.com/varun29ankuS/shodh-memory/pull/113
Full Changelog: https://github.com/varun29ankuS/shodh-memory/compare/v0.1.90...v0.1.91
- API key validation now uses constant‑time comparison
- Request size limits and input sanitization added to all endpoints
- WebSocket authentication scoped per connection
- Remember Idempotency: SHA-256 content deduplication returns existing memory ID instead of creating duplicates
- RocksDB consolidation reduces file descriptors from 20 to 3 per user (storage, graph, shared) with lazy migration
- Zero‑config local setup auto‑generates API key, downloads models (~38 MB), and starts serving without env vars or Docker
Full changelog
What's New
Remember Idempotency (SHA-256 Content Dedup)
Identical memories are never stored twice. Every remember() call now computes a content hash — if the same content already exists, it returns the existing memory ID instead of creating a duplicate. This makes the entire ingestion pipeline safe for retry, batch processing, and multi-agent scenarios.
Security Hardening
- API key validation with constant-time comparison
- Request size limits and input sanitization across all endpoints
- WebSocket authentication scoped per connection
- CORS and security headers on all responses
RocksDB Consolidation (20 → 3 DBs)
Column family migration reduced file descriptor usage by ~85%. Each user's data now lives in 3 RocksDB instances (storage, graph, shared) instead of 20 separate databases. Migration is lazy and transparent — old data directories are renamed on first access.
Zero-Config Local Setup
First run auto-generates an API key, downloads models (~38MB), and starts serving. No environment variables, no Docker, no configuration files needed.
Performance
remember()API response: <200ms (was 5-15s with sync processing)- Fire-and-forget post-processing for embeddings, NER, and graph updates
- Shared RocksDB block cache capped at 256MB
- Entity embedding cache capped at 10K entries
- jemalloc enabled for RocksDB on Linux/macOS
Bug Fixes (40+)
- Fix retrieval_mode not skipping graph traversal in semantic recall
- Fix Windows MCP server spawn EINVAL and truncated UUIDs
- Fix read_memory returning 'undefined' when LLM sends
idinstead ofmemory_id - Fix stuck 429 rate limit on resource-constrained systems
- Fix mmap vector loading on Windows
- Fix backup/restore covering todos, reminders, facts, and audit logs
- Fix pre-migration directory cleanup across all modules
47 MCP Tools
Full GTD task management (todos, projects, subtasks, comments), reminders (time/duration/context triggers), backup/restore, and index health monitoring — all available to Claude, Cursor, and other MCP clients.
Updated TUI Dashboard
New recall view and projects/todos screenshots.
114 commits since v0.1.80. Full changelog: https://github.com/varun29ankuS/shodh-memory/compare/v0.1.80...v0.1.90
Install
# MCP (Claude Code / Cursor)
claude mcp add shodh-memory -- npx -y @shodh/memory-mcp
# Python
pip install shodh-memory==0.1.90
# Rust
cargo add [email protected]
# Docker
docker run -d -p 3030:3030 -v shodh-data:/data varunshodh/shodh-memory:0.1.90
- OpenAI Agents SDK integration with eight FunctionTool instances (remember, recall, forget, context_summary, proactive_context, add_todo, list_todos, complete_todo)
- Agent orchestration system for Claude Code with automatic memory encoding and session continuity
- Skills framework enabling parallel sub‑agent workflows
Full changelog
What's New in 0.1.80
OpenAI Agents SDK Integration
- ShodhTools: 8 FunctionTool instances (remember, recall, forget, context_summary, proactive_context, add_todo, list_todos, complete_todo) for explicit memory operations
- ShodhSession: Session protocol implementation with cognitive memory — semantic retrieval instead of sequential replay, Hebbian strengthening on access, automatic decay
- Install:
pip install shodh-memory[openai-agents]
Agent Orchestration
- Hook-based orchestration system for Claude Code — automatic memory encoding on tool use, proactive context surfacing, session continuity
- Skills framework for decomposing complex tasks into parallel sub-agent workflows
Citation Support
CITATION.cfffor GitHub's "Cite this repository" button- References: Wixted 2004, Cowan 2001, Hebb 1949, Anderson & Pirolli 1984, Bi & Poo 1998
Fixes
- Windows stdin compatibility for memory hook (top-level await)
- Full proactive context pipeline activation
- Forget/delete lifecycle: BM25 cleanup, soft-forget index removal, GDPR-compliant erasure
- Cleaned crate package excludes (179 → 133 files)
Binary Size
- Server binary: 25 MB (stripped, LTO, single codegen unit)
- ONNX Runtime: 14 MB (dynamic, downloaded on first run)
- Total: ~39 MB
- MiniLM model: ~23 MB (quantized, downloaded on first embedding)
Install
| Package | Registry | Command |
|---------|----------|---------|
| shodh-memory | crates.io | cargo install shodh-memory |
| @shodh/memory-mcp | npm | npx @shodh/memory-mcp |
| shodh-memory | PyPI | pip install shodh-memory |
Full Changelog: https://github.com/varun29ankuS/shodh-memory/compare/v0.1.75...v0.1.80
Routine maintenance release for varun29ankuS/shodh-memory.
Changelog
Full Changelog: https://github.com/varun29ankuS/shodh-memory/compare/v0.1.74...v0.1.75
Routine maintenance release for varun29ankuS/shodh-memory.
Changelog
Full Changelog: https://github.com/varun29ankuS/shodh-memory/compare/v0.1.73...v0.1.74
Routine maintenance release for varun29ankuS/shodh-memory.
Changelog
Full Changelog: https://github.com/varun29ankuS/shodh-memory/compare/v0.1.72...v0.1.73
- Add unified Memory API specification (OpenAPI 3.1)
Full changelog
What's Changed
- feat(specs): Add unified Memory API specification (OpenAPI 3.1) by @doobidoo in https://github.com/varun29ankuS/shodh-memory/pull/3
New Contributors
- @doobidoo made their first contribution in https://github.com/varun29ankuS/shodh-memory/pull/3
Full Changelog: https://github.com/varun29ankuS/shodh-memory/compare/v0.1.6...v0.1.70