正在加载视频...

视频加载失败

GPT-6 Astra + Business wiki + Meetings + YouTube videos + Claude memory + Codex memory + Projects + Skills + Agents = Fun

52,833 次观看 • 11 天前 •via X (Twitter)

9 条评论

Ken 的头像
Ken10 天前

Does @nateherk even sleep? This guy is a machine. Great article though. Definitely going to build this.

Webster | JARVIS 的头像
Webster | JARVIS11 天前

haha this is basically my dream setup tbh codex memory alone would fix so much of my day

morgan huang 的头像
morgan huang11 天前

the stack isn't the hard part anymore. wiring nine tools together takes an afternoon now. the hard part is that a second brain inherits your first brain's blind spots. it recalls everything you wrote down and nothing you never decided. more memory, same judgment.

athrv.sh 的头像
athrv.sh10 天前

works until two of those memories disagree about the same fact

PeritumAI 的头像
PeritumAI10 天前

Stacking memory across tools only helps if each agent still has one job. Otherwise you get a second brain that argues with itself.

ThisMightWork 的头像
ThisMightWork11 天前

How are you keeping old meeting notes from overruling newer decisions? That’s the bit I’d want nailed down.

Veronn AI Marketing 的头像
Veronn AI Marketing9 天前

where do i watch the full video?

PeritumAI 的头像
PeritumAI11 天前

Fun stack. We still pin publish, pay, and send to a human before any of those tools get write access.

NASMA ELLIS 的头像
NASMA ELLIS11 天前

Looking 👀👀 to work together

相关视频

HERMES AGENT CAN SHARE MEMORY WITH CODEX AND CLAUDE CODE THROUGH HINDSIGHT. ONE MEMORY BANK. ONE AGENT REMEMBERS, EVERY OTHER AGENT KNOWS. the problem: you use Hermes for orchestration. Codex for coding. Claude Code for debugging. each has its own memory. switch between them and you explain the same project three times. Hindsight fixes this. one shared memory bank that every agent reads and writes to. tell Codex: "the test color for this project is purple." switch to Hermes. ask: "what test color did I pick?" Hermes answers: "purple." no copy-paste. no re-explaining. instant recall. HOW IT WORKS: Hindsight runs as a Docker container on your machine. self-hosted. your data stays local. an LLM powers the memory processing (retain, recall, reflect). RETAIN: extracts facts from your conversations. entities, decisions, preferences, project context. saved to the memory bank automatically. RECALL: when you ask a question, Hindsight pulls from semantic search, keywords, graph connections, and temporal data. fused into one answer. REFLECT: deeper reasoning layer. connects memories across sessions. identifies patterns in your work. produces observations that get smarter over time. CONNECT TO HERMES: Desktop app: Settings → Memory and Context → switch provider from Namosin to Hindsight. set API URL to your local Docker container. set bank ID. done. CLI: hermes memory setup → select Hindsight. verify: hermes memory status should show: provider: hindsight, installed, available. CONNECT TO CODEX: npx hindsight-coding-agents install codex \ --self-hosted --server this installs lifecycle hooks: initialize memory on session start. recall context during work. retain the session when done. enable hooks in Codex: Settings → Hooks → trust all three. CONNECT TO CLAUDE CODE (same command): npx hindsight-coding-agents install all "all" connects every detected agent on your machine. Claude Code, Codex, Cursor, and others. one command. every agent shares the same bank. TAGS FOR FILTERING: every memory gets tagged by harness (Hermes, Codex, Claude Code) and optionally by project name. in the Hindsight control plane: filter by harness. see only Hermes memories. or only Codex memories. or search across everything. soft partitions inside one bank. not hard walls. cross-reference when you need to. ONE BANK OR MANY: one global bank: solo dev, related projects. all agents share everything. patterns emerge across projects. per-project banks: unrelated codebases. each project gets its own memory. no cross-contamination. your call. start with one. split when projects diverge. KNOWLEDGE PAGES (v0.9.0): Hindsight auto-generates living summaries from your accumulated memories. components, concepts, conventions, decisions. not static docs. projected from real agent conversations. auto-refresh as new memories land. WHAT TO KNOW: self-hosted via Docker. your data never leaves your machine. backup system built in (admin CLI + scheduled exports). works with any LLM (local Ollama, OpenAI, Codex subscription). memory defense: redact or block sensitive content automatically. 33,000+ memories accumulated in ~10 days of normal use.

YanXbt

29,200 次观看 • 1 个月前