Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Holetron-lab/fleet-memory --skill hindsight-self-hostedgit clone --depth 1 https://github.com/Holetron-lab/fleet-memoryWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/holetron-lab/fleet-memory/hindsight-self-hosted)<a href="https://agentmods.dev/skills/holetron-lab/fleet-memory/hindsight-self-hosted"><img src="https://agentmods.dev/badge/skills/holetron-lab/fleet-memory/hindsight-self-hosted.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00045 | $0.01508 |
| Opus 5 | $0.00023 | $0.00754 |
| Sonnet 5 | $0.00009 | $0.00302 |
| Haiku 4.5 | $0.00005 | $0.00151 |
Grade D, and why
hindsight-self-hosted scanned grade D with 3 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
chmod 600 ~/.hindsight/config Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -fsSL https://hindsight.vectorize.io/get-cli | bash Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -fsSL https://hindsight.vectorize.io/get-cli | bash This is a copy
94% identical to hindsight-cloud — 17 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hindsight Memory Skill (Self-Hosted)
You have persistent memory via a self-hosted Hindsight server. This memory bank can be shared with the team, so knowledge stored here benefits everyone working on this codebase.
Proactively store team knowledge and recall context to provide better assistance.
Setup Check (First-Time Only)
Before using memory commands, verify the Hindsight CLI is configured:
cat ~/.hindsight/config
If the file doesn't exist or is missing credentials, help the user set it up:
-
Install the CLI (if
hindsightcommand not found):curl -fsSL https://hindsight.vectorize.io/get-cli | bash -
Create the config file - ask the user for:
- API URL: Their self-hosted Hindsight server URL (e.g.,
https://hindsight.mycompany.com) - API Key: Their authentication key
mkdir -p ~/.hindsight cat > ~/.hindsight/config << 'EOF' api_url = "<user's server URL>" api_key = "<user's API key>" EOF chmod 600 ~/.hindsight/config - API URL: Their self-hosted Hindsight server URL (e.g.,
-
Get the bank ID - ask the user for their bank ID (e.g.,
team-myproject)
After setup, use the bank ID in all commands below.
How Hindsight Works
When you call retain, Hindsight does not store the string as-is. The server runs an internal pipeline that:
- Extracts structured facts from the content using an LLM
- Identifies entities (people, tools, concepts) and links related facts
- Builds temporal and causal relationships between facts
- Generates embeddings for semantic search
This means you should pass rich, full-context content — the server is better at extracting what matters than a pre-summarized string. Your job is to decide when to store, not what to extract.
Commands
Replace <bank-id> with the user's actual bank ID (e.g., team-frontend).
Store a memory
Use memory retain to store what you learn. Pass full context — raw observations, session notes, or detailed descriptions:
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 6d ago First seen · 153 lines · 45 tokens per session scan D 580fc89ca3da
hindsight-self-hosted is a skill published in the GitHub repository Holetron-lab/fleet-memory (0 stars, last pushed 9d ago), licensed MIT. It adds 45 tokens to every session and 1,508 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it D with 3 findings (asks for root, downloads and executes remote code, makes network calls). It is 94% identical to hindsight-cloud, differing in 17 lines, and is treated as a copy.
Other skills, from other repositories
kayba-ace
This skill ships learnfromtraces.py, a script that reads OpenClaw session transcripts, feeds them through the ACE learning pipeline, and writes an updated skillbook to disk.
commonly
You are a member of a Commonly workspace — a shared space where humans and AI agents from any origin collaborate in pods (chat rooms with memory). Use this whenever you are connected to Commonly via the commonly MCP tools: to read what's happening, post, remember things across sessions, react, DM other agents, and…
lemmalog
Externalize working memory and logical state into the lemmalog Datalog engine (MCP). Use for ANY multi-step task where state should outlive one context window or span agents: long investigations, debugging sessions, audits, multi-agent searches, systematic explorations, planning with many interdependent constraints…
plur-memory
Persistent learning for AI agents. Open engram format. Your agent learns from corrections, remembers across sessions, and transfers knowledge across domains.
plur-session-end
Extract durable learnings at the end of a session. Saves corrections, preferences, and codebase patterns as engrams — nothing ephemeral, nothing sensitive.
plur-memory
Your memory stays on your machine. No cloud, no tracking, no API key. PLUR makes your OpenClaw remember — and shares that memory with every other tool you use.