Agent skill

Hindsight Recall

by vectorize-io in vectorize-io/hindsight

Search long-term memory for relevant context from past coding sessions using Hindsight MCP tools

MITAuto-check passedAgent Workflows

Install Hindsight Recall

skills CLI
$ npx skills add vectorize-io/hindsight --skill hindsight-recall -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install vectorize-io/hindsight hindsight-recall --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/vectorize-io/hindsight.git skills-src && mkdir -p .claude/skills && cp -r skills-src/hindsight-integrations/cursor/skills/hindsight-recall .claude/skills/hindsight-recall && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
hindsight-recall
GitHub stars
46k
Token cost
~312 tokens
SKILL.md length
161 words
Files
1
Skills in repo
17
Repo updated
First seen
Licence
MIT

At a glance

Search long-term memory for relevant context from past coding sessions using Hindsight MCP tools

  • Works in 5 steps: Identify the key topic or question from… → Check if in the current context already… → If session memory already covered it,… → …
  • Tasks that involve Agent memory
  • SKILL.md covers Trigger, Workflow, Guardrails and Output
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Hindsight Recall is an agent skill from vectorize-io/hindsight. Search long-term memory for relevant context from past coding sessions using Hindsight MCP tools

Its SKILL.md is about 310 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Agent memory and MCP servers. The repository describes itself as: Hindsight: Agent Memory That Learns. The licence is MIT.

When your agent uses it

  • Tasks that involve Agent memory
  • Tasks that involve MCP servers

Example prompts

  • “/hindsight-recall”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Identify the key topic or question from the user's request.
  2. Check if in the current context already contains relevant results from the automatic session-start recall.
  3. If session memory already covered it, use those memories directly.
  4. If the user needs more specific or deeper recall, use the Hindsight MCP recall tool to search for additional memories.
  5. If you want to reason over accumulated memories for architectural decisions, use the reflect tool.

What it can do on your machine

Read from SKILL.md and the folder at commit 9269b88. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Hindsight Recall loads about 312 tokens when it runs. Until then it costs about 28 tokens; SKILL.md has 161 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~28
When it runs · the whole SKILL.md, loaded when a task matches
~312

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from vectorize-io/hindsight at commit 9269b88, republished under its MIT licence (© vectorize-io). 161 words, ~312 tokens.

Download SKILL.mdSave it as .claude/skills/hindsight-recall/SKILL.md (or your agent's skills folder).
name
hindsight-recall
description
Search long-term memory for relevant context from past coding sessions using Hindsight MCP tools

Hindsight Recall

Trigger

Use when the user explicitly asks about past decisions, project context, preferences, or anything that may have been discussed in prior sessions.

Workflow

  1. Identify the key topic or question from the user's request.
  2. Check if <hindsight_memories> in the current context already contains relevant results from the automatic session-start recall.
  3. If session memory already covered it, use those memories directly.
  4. If the user needs more specific or deeper recall, use the Hindsight MCP recall tool to search for additional memories.
  5. If you want to reason over accumulated memories for architectural decisions, use the reflect tool.

Guardrails

  • Only use MCP tools for deeper recall when the session-start memory was insufficient.
  • When memories conflict with current context, prefer current context and note the discrepancy.
  • Do not expose raw memory metadata to the user unless asked.

Output

  • Relevant memories integrated into the response
  • If MCP tools are not available, advise the user to check their .cursor/mcp.json configuration

© vectorize-io, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in hindsight-integrations/cursor/skills/hindsight-recall of vectorize-io/hindsight.

Open the folder on GitHubat commit 9269b88

Compare with similar skills

Hindsight Recall next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Hindsight Recall compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Hindsight Recall this skillvectorize-io/hindsight46k—~312Automated safety check: PassMIT
MemPalace Setup and OperationMemPalace/mempalace59k—~2.2kAutomated safety check: PassMIT
agentmemory Setup and Diagnosticsrohitg00/agentmemory29k—~1kAutomated safety check: NotesApache-2.0
Qmdbreferrari/obsidian-mind4.9k—~1.7kAutomated safety check: PassMIT
Memori MCP Memory UsageMemoriLabs/Memori17k—~3.8kAutomated safety check: PassMIT
Shared Agent Knowledge Commonsmozilla-ai/cq1.3k—~6.5kAutomated safety check: PassApache-2.0

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Categories

Questions about Hindsight Recall

What does Hindsight Recall do?

Search long-term memory for relevant context from past coding sessions using Hindsight MCP tools. Hindsight Recall is an agent skill from vectorize-io/hindsight.

When should I use Hindsight Recall?

Hindsight Recall fits situations like: tasks that involve Agent memory; tasks that involve MCP servers.

How do I install Hindsight Recall in Claude Code?

Run `npx skills add vectorize-io/hindsight --skill hindsight-recall -a claude-code`. Or copy the skill folder (hindsight-integrations/cursor/skills/hindsight-recall in vectorize-io/hindsight) into .claude/skills/hindsight-recall in your project. Claude Code loads it when a task matches its description.

How do I install Hindsight Recall in Codex?

Run `npx skills add vectorize-io/hindsight --skill hindsight-recall -a codex`. Or copy the skill folder (hindsight-integrations/cursor/skills/hindsight-recall in vectorize-io/hindsight) into .agents/skills/hindsight-recall in your project. Codex loads it when a task matches its description.

Can I use Hindsight Recall in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add vectorize-io/hindsight --skill hindsight-recall -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hindsight-recall, .gemini/skills/hindsight-recall, .github/skills/hindsight-recall and .opencode/skills/hindsight-recall in your project.

What does Hindsight Recall need to run?

SKILL.md names no scripts, command-line tools or credentials: Hindsight Recall is instructions for the agent only.

Does Hindsight Recall access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Hindsight Recall safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Hindsight Recall use?

Hindsight Recall is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Hindsight Recall use?

About 312 tokens (SKILL.md is roughly 1.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Hindsight Recall?

Skills that share tags, products or a category with Hindsight Recall: MemPalace Setup and Operation (MemPalace/mempalace, 59k stars), agentmemory Setup and Diagnostics (rohitg00/agentmemory, 29k stars), Qmd (breferrari/obsidian-mind, 4.9k stars) and Memori MCP Memory Usage (MemoriLabs/Memori, 17k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Hindsight Recall?

vectorize-io (a GitHub organization) maintains it in vectorize-io/hindsight, which has 46,453 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 7, 2026.

Source: vectorize-io/hindsight on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.