Pmll Memory MCP server

PPM — Python Package Manager

pypm packaging CLI with shared PMLL memory + Q-promise. Sibling: drQedwards/pmll.

Live Stellar pmll-anchor IDs: docs/STELLAR.md · skills: SKILL.md · promises: Qpromiselib/README.md.

TL;DR: PPM packages Python (C CLI). Shared PMLL owns memory/state (memorysilot, exact peek + semantic peek_semantic,

SAT bridge, initpml). Q-promise owns temporal/control-flow (qpromise, libqpromise.so)

— it does not replace the silo. Optional Stellar commitments hash off-chain

CodeworkPayloads into 32-byte digests via pmll-anchor (ABI: init/store/get/bump).

Companion packaging CLI + MCP memory server live in-tree.

PMLL provides durable structured memory for agent workflows, alongside a PPM packaging CLI (hermetic bundles, plugins, signing) and the PMLL Memory MCP server. Long-term graph tools adapt Context+.

Table of Contents

1. Layers (post-merge)
2. Features
3. Building from Source
4. CLI Commands
5. GPU & Security Features
6. Plugin System
7. Configuration
8. PMLL Memory MCP Server
9. Stellar commitments
10. Architecture
11. Release Notes
12. Roadmap

Layers (post-merge)

Two complementary layers — not substitutes for each other:

Q-promise does not replace the silo. A promise may reference a memory key (and optional SAT state id); results are committed back with siloset / qpromiseresolve_commit.

Intended loop

retrieve (peek / peek_semantic)
  → compute / request work
  → promise PENDING
  → resolve / reject (optionally resolve_commit → silo)
  → continuation (then / catch / finally via qpromise_drain)
  → memory update
  → retrieve again

Thread safety: the C Q-promise drain is single-threaded. Continuations run only during qpromisedrain() on the calling thread; callers must externally serialize access. Details: Qpromise_lib/README.md.

C core (PMLL)

Headers: PMLL.h · implementation: PMLL.c

Q-promise library

Shortened. The full README is on GitHub.