Lastmemory — AI skill for Claude Code
Persistent, token efficient memory network for coding agents: a neural network of markdown files anchored to repo zones, with progressive loading, active forgetting, an offline graph, and repo bootstr.
How to install Lastmemory
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open uxKero/lastmemory and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Lastmemory does
Persistent, token efficient memory network for coding agents: a neural network of markdown files anchored to repo zones, with progressive loading, active forgetting, an offline graph, and repo bootstrap. A skill for Claude Code.
Alternatives in AI
- Clawcodex — Token efficient Claude Code full Python rebuild 875 ★
- Claude Fable 5 System Prompt Clean — the optimized, token-efficient version of the leaked Claude Fable 5 / Mythos 5 system prompt 475 ★
- Pbi CLI — Power BI CLI - semantic models (.NET TOM) and PBIR reports for token-efficient AI agent usage, built for Claud 217 ★
README
Persistent, token efficient memory for coding agents.
A network of interconnected markdown files that remembers your project, anchored to the parts of your repo, and forgets what stops mattering.
What it is
`lastmemory` is a memory skill for Claude Code, and for any CLI agent that can read markdown. It keeps a small `/memory` folder inside your project where knowledge lives as a network: each file is a neuron (a session, a zone of the repo, a decision, a failure, a reflection), and the links between files are synapses. The agent walks the links instead of loading everything, so it can recall a whole project history while paying for only a few hundred tokens.
It is built on four ideas:
- Spatial, not chronological. Knowledge is anchored to parts of the repo (
auth,payments), not to a flat log. - A neural network of files. Every file is a neuron; links are synapses. The agent navigates, it does not dump.
- Minimum token cost. Layered loading (critical facts, then the index, then summaries, then full content). The whole context is never poured in. This is the headline, and we measure it.
Related Skills
Genesys
Open-source causal graph memory for AI agents. 89.9% on LoCoMo. MCP server with ACT-R scoring, spreading activ
Enso OS
The first AI plugin that speaks first. Code-enforced learning + active forgetting + PAC (Proactive Accountabil
Datafog Python
Offline PII firewall for AI agents and LLM apps: fast local detection and redaction, Claude Code hook, LiteLLM
Browser39
A headless browser for AI agents that fetches modern web pages, runs JavaScript, manages sessions, and returns
Atlassian Skills
Token-efficient CLI for Atlassian Server/DC (Jira, Confluence, Bitbucket) — drop-in alternative to mcp-atlassi
Clawdcontext4vscode
Enhance VS Code with ClawdContext, providing Markdown-based context management for efficient AI coding agent w
Related Agents
Council Karpathy
Council member. Use standalone for neural network intuition & empirical ML analysis, or via /council for multi
Skill Creator
Generate spec-compliant skills for the cc-polymath library. Takes a topic/domain and produces a well-structure
Lens Frontend
Frontend lens of the production readiness audit. Judges the user-facing surface - loading/error/empty/offline