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PCIRCLE-AI

Organization

The lightest universal AI memory layer. One SQLite file, any LLM, zero cloud. MCP + HTTP + CLI. Smart Recall, Knowledge Evolution, Auto-Capture, Interactive Dashboard.

5 indexed · 0 Featured · 30 stars · avg score 78
Prolific

Categories

Indexed Skills (5)

AI & Automation Solid

memesh

Use MeMesh to remember, recall, and manage AI knowledge across sessions. Triggers when the user asks to remember something, recall past decisions, forget outdated info, learn from mistakes, or analyze work patterns. Also triggers proactively when you make important decisions, fix bugs, or learn lessons worth preserving.

15 Updated 1 months ago
PCIRCLE-AI
AI & Automation Solid

memesh-review

Review and optimize the MeMesh memory database. Analyzes health score, finds stale/conflicting/redundant memories, shows work patterns, and suggests cleanup actions. Use when asked to "review memories", "check memory health", "clean up knowledge", or "what's in my memory".

15 Updated 1 months ago
PCIRCLE-AI
AI & Automation Listed

agentic-orchestration

Experimental working-model protocol shipped with memesh v4.1. Status — protocol present + instrumented; effectiveness in real usage is being collected (see `memesh patterns`), not yet proven. Suggests a user-as-CTO / Claude-as-orchestrator / background-agents-as-engineers split. Claude routes work by verifiability, dispatches parallel background agents for high-verifiability technical work, and stays foreground only for strategic/understanding work that the user must own. Use as a default for non-trivial software tasks; report back when it helps or doesn't.

15 Updated today
PCIRCLE-AI
AI & Automation Listed

memesh-review

Review and optimize the MeMesh memory database. Analyzes health score, finds stale or noisy memories, shows work patterns, and suggests human-reviewed cleanup actions. Use when asked to "review memories", "check memory health", "clean up knowledge", or "what's in my memory".

15 Updated yesterday
PCIRCLE-AI
AI & Automation Listed

memesh

Use MeMesh to remember, recall, and manage AI knowledge across sessions, and to exchange task-focused messages with local agents. Triggers when the user asks to remember something, recall past decisions, forget outdated info, learn from mistakes, analyze work patterns, contact another agent, or handle a memesh_message or legacy memesh_message_available notification. Also triggers when the user asks "what do you remember", "where did we leave off", or wants to catch up on a project; when a session starts and project context is needed; and proactively when you make important decisions, fix bugs, learn lessons worth preserving, or owe another agent a requested result or disposition.

15 Updated yesterday
PCIRCLE-AI

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