context-recovery

context-recovery is an agent for Claude Code from SuperPiTT/self-improving-memory-mcp. It costs 0 tokens per session (2,572 once invoked), scanned A, original, MIT.

An automatic way to find and restore saved work from an earlier coding conversation.

In plain words
What is it for?
It checks for recent saved checkpoints at the start of a conversation and can recover their progress, files, decisions, and next steps.
Why use it?
It helps continue interrupted work without manually rebuilding the previous session's context.

Agent for Claude Code

Install

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.

agentmods
npx agentmods add agents/superpitt/self-improving-memory-mcp/context-recovery
Clone the repo
git clone --depth 1 https://github.com/SuperPiTT/self-improving-memory-mcp

Made for: Claude Code.

Wrote 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.

agentmods badge for context-recovery

README.md
[![agentmods](https://agentmods.dev/badge/agents/superpitt/self-improving-memory-mcp/context-recovery.svg)](https://agentmods.dev/agents/superpitt/self-improving-memory-mcp/context-recovery)
Your own site
<a href="https://agentmods.dev/agents/superpitt/self-improving-memory-mcp/context-recovery"><img src="https://agentmods.dev/badge/agents/superpitt/self-improving-memory-mcp/context-recovery.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,572 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.02572
Opus 5 $0.00000 $0.01286
Sonnet 5 $0.00000 $0.00514
Haiku 4.5 $0.00000 $0.00257

Measured 4d ago against content hash 34acb998e93c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

context-recovery scanned grade A with 0 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 4d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/agents/context-recovery.md · 431 lines

How it starts

The opening of the file, as written. The whole thing — 431 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Context Recovery Agent

Description

Automatically detects when a new conversation starts after a checkpoint/compaction and recovers the complete session state from memory, enabling seamless continuation without information loss.

When to use

Use this agent PROACTIVELY AND AUTOMATICALLY when:

  • EVERY new conversation (first 1-2 messages) - ALWAYS check for recent checkpoints
  • User pastes a checkpoint summary
  • User says "continue from where we left off"
  • Message contains continuation keywords: "Continue work on:", "Progress:", "Next steps:"
  • First message references previous work or files

CRITICAL: This agent should activate AUTOMATICALLY at the START of ALL new conversations to check for recoverable context. Do NOT wait for user to ask - be proactive.

Default Behavior: On first message of new conversation:

  1. Silently search for session-snapshot entities from last 24 hours
  2. If found with status="in-progress" or "paused": Immediately present recovery option
  3. If user confirms: Load and apply complete context
  4. If user declines: Mark checkpoint as "on-hold" and proceed fresh

Tools available

  • mcp__memory__search_nodes (auto-approved)
  • mcp__memory__open_nodes (auto-approved)
  • mcp__memory__read_graph (auto-approved)

Instructions

You are the Context Recovery Agent. Your job is to detect and restore complete session context from checkpoints saved before compaction.

Activation Trigger

AUTOMATIC TRIGGERS:

  1. Continuation keywords detected

    • User's first message contains: "continue work on", "resume", "where we left off"
    • Message has checkpoint format: "Progress:", "Next steps:", "Files modified:"
  2. Checkpoint reference

    • User mentions: "from previous conversation", "we were working on"
    • User pastes formatted continuation summary
  3. Proactive check (always on new session)

    • At start of conversation (first 1-2 messages)
    • Search for recent checkpoints (< 24 hours old)
    • If found and status="in-progress": offer to resume

Read the full file on GitHub · 431 lines

Changes

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.

  1. 4d ago First seen · 431 lines · 0 tokens per session scan A 34acb998e93c

Subscribe to this mod's changes

context-recovery is an agent published in the GitHub repository SuperPiTT/self-improving-memory-mcp (0 stars, last pushed 11mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,572 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-01.

Related

Other agents, from other repositories

context-manager

Use this agent when you need to manage context across multiple agents and long-running tasks, especially for projects exceeding 10k tokens. This agent is essential for coordinating complex multi-agent workflows, preserving context across sessions, and ensuring coherent state management throughout extended development…

czlonkowski/n8n-mcp · 0 tokens

context

You are the Context agent. Your job is memory and context-window management: decide what to keep, compact, or recall so the working context stays high-signal and within budget.

WrongStack/WrongStack · 0 tokens

adapter_grok

Grok is an eagerly registered stock-TUI adapter. RimZ launches grok, installs passive global hooks in ${GROKHOME:-/.grok}/hooks/rimz.json, and enriches each session from its durable updates.jsonl, summary.json, signals.json, and optional events.jsonl files. ACP and provider-private billing APIs stay outside this…

rimio-ai/rimz · 0 tokens

starlight-repos-extractor

Tier: Phase 1 extractor Dispatched via: Agent tool Output contract: JSONL atoms appended to.

frankxai/Starlight-Intelligence-System · 7 tokens

portable-memory-parent-orchestrator

Top orchestrator for the portable-process-memory feature. Delegates to sync-transport (push/fetch folded into the verbs, plain-git, credential inheritance, offline-fail-safe) and event-fold (ownership events + the fail-closed divergence tripwire in the gate fold). Architect-only; coordinates portability/transport work…

seanrreid/RAD_framework · 77 tokens

context

Agent "context" from hannsxpeter/godpowers, covering scope, context, decisions, rules and workflows.

hannsxpeter/godpowers · 0 tokens