Cognee vs Graphicle

Cognee

Apache-2.0 library, REST server and MCP server, all self-hostable, with local models and no LLM key since 1.6.0. No status page, rate limits, SLA or SOC 2 for Cloud, and Cloud runs in AWS us-east-1 with no EU region.

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.

Cognee

1. Use remember, recall and forget. The older cognify, search and delete MCP tools are gone
2. Always include /api/v1 in REST paths
3. Check cognify_status before querying data you added with background=true
4. Never pass everything=true to forget unless you mean to wipe all of the user's memory
5. Set a client timeout on Cloud calls and treat HTTP 402 as an empty balance, since an empty balance has also shown up as hangs

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