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Provides local persistent memory for coding agents with low-cost context retrieval.
The materials describe a local persistent memory/knowledge-graph MCP tool with no required secrets and claimed zero runtime network calls, with no clear high-risk red flags observed. Caution is still warranted because it executes locally and persists local data, while its source is open and auditable but has weak adoption and unknown maintenance status.
The materials explicitly state that no keys or environment variables are required. There is no indication that users must provide API tokens, account passwords, or other sensitive credentials, so credential exposure appears limited.
No remote endpoints are listed, and the description claims 'zero runtime network calls.' Based on the available materials, there is no evidence of user data being sent to third-party services.
The system checks indicate this MCP tool has executes-code capability, meaning it runs in the local environment and may invoke local processes/code. This is a normal tool capability, but it should still be isolated and run with least privilege.
The description says it is a 'local, persistent' knowledge graph and session memory tool, implying it stores and accesses some user/project context data locally. The materials do not specify exact directories, file scope, or permission boundaries, so local data persistence and retention scope should be reviewed.
Positive factors are that it is open source under the MIT License and the source is in principle auditable. However, it comes from a third-party registry, has 0 stars, and its maintenance status is unknown, so confidence and evidence of ongoing maintenance are limited; code and dependency review are advisable before adoption.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Memora" yet — see the docs or source repo.
Please record this project's key decisions in Memora: tech stack, folder structure, naming conventions, and open questions, so later sessions can reuse them.
Creates structured long-term memory entries for quick context restoration.
Please retrieve relevant memories from Memora about authentication, database migrations, and API design in this repo, then summarize them for me.
Returns a summary of relevant past memories, reducing repeated questions and lost context.
Please sync the current task progress, completed steps, TODOs, and risks to Memora as state memory for later continuation.
Produces continuously updated task-state memory for cross-session handoff.
Give coding agents persistent cross-session memory for project context and decisions.
Give AI coding agents persistent memory across sessions for people, decisions, and context.
Give AI coding agents persistent local shared memory across agents.
Give AI coding agents persistent cross-project memory and connected context retrieval.
Build a self-evolving memory graph for coding agents with semantic search.
Give AI coding agents persistent memory for project context and decisions.