Releases: CytrexSGR/persistent-agent-memory
Releases · CytrexSGR/persistent-agent-memory
v0.1.0 — Initial Release
persistent-agent-memory v0.1.0
MCP server that gives AI agents persistent semantic memory across sessions.
Highlights
- 11 MCP tools — remember, recall, forget, remember_decision, remember_rule, search_knowledge, get_context, get_session_summary, get_bootstrap_context, index_directory, search_indexed
- Pluggable storage — SQLite + sqlite-vec (default, zero-config) or PostgreSQL + pgvector
- Pluggable embeddings — any OpenAI-compatible API (Ollama, vLLM, OpenAI) or local sentence-transformers
- Directory indexer — semantic search over Markdown files / Obsidian vaults with heading-based chunking and re-index detection
- Session continuity — handoff + bootstrap skills for structured agent transitions
- Multi-agent ready — source agent tracking, typed categories (decision, rule, handoff, project)
Quick Start
pip install persistent-agent-memory
ollama pull nomic-embed-text
pam serve --stdioAdd to Claude Code .mcp.json:
{"persistent-memory": {"command": "pam", "args": ["serve", "--stdio"]}}Stats
- 50 tests passing
- Python 3.11+
- AGPL-3.0 (commercial license available)