Graphicle vs LangMem

Graphicle

One local program gives a coding agent a code graph and project memory through 25 typed, annotated MCP tools that return cited excerpts within a token budget, with agent-written memories held for human approval. It is one day old at version 0.1.0, its SDKs are not on any registry, and the licence and advisory check fails on main.

LangMem

Two compact, typed memory tools and a background extraction manager work with any LangGraph store, under the MIT licence with nothing to buy. The newest PyPI release, 0.0.30, dates from 27 October 2025. The repository has no changelog, tags or test workflow, and 23 of 54 open issues have no reply.

Graphicle

1. Call recall_project with a max_tokens budget, then read_project_source with the cited id and byte offset to continue a cut excerpt
2. Use query_graph, get_neighbors and shortest_path for structure questions, and pass repo to reach another synced project
3. Treat proposed memories as drafts. They are not served until a person approves them in graphicle open under Memory
4. Ask the user before running graphicle setup, which edits agent settings, AGENTS.md and Git hooks, and use graphicle disconnect to undo it
5. Over HTTP send the key as Authorization: Bearer, never in the URL, and on 429 wait for the Retry-After reset

LangMem

1. Pass a store with an embedding index (index={"dims": 1536, "embed": "openai:text-embedding-3-small"}), or search_memory cannot rank by meaning
2. Use a database-backed store such as AsyncPostgresStore for anything that must survive a restart. InMemoryStore loses everything
3. Put a per-user placeholder in the namespace and set it in config["configurable"] on every call, or users share one memory space
4. Send the memory id with update and delete, and never with create. A retried create writes a duplicate under a new UUID
5. Run on Python 3.11 or later. src/langmem/knowledge/extraction.py uses typing.NotRequired, which Python 3.10 lacks