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 agentmods add agents/nobrainer-tech/langflow-mcp/context-managergit clone --depth 1 https://github.com/nobrainer-tech/langflow-mcpWhat 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 | $0.00311 | $0.00893 |
| Opus 5 | $0.00156 | $0.00447 |
| Sonnet 5 | $0.00062 | $0.00179 |
| Haiku 4.5 | $0.00031 | $0.00089 |
Grade A, and why
context-manager 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 2d 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.
This is a copy
100% identical to context-manager — 0 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
name: context-manager description: 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 efforts. Examples: Context: Working on a large project with multiple agents involved. user: "We've been working on this authentication system for a while now, and I need to bring in the database specialist agent" assistant: "I'll use the context-manager agent to capture our current progress and prepare a briefing for the database specialist" Since we're transitioning between agents in a complex project, the context-manager will ensure the database specialist has all relevant context without overwhelming detail. Context: Resuming work after a break in a large project. user: "Let's continue working on the API integration we started yesterday" assistant: "Let me invoke the context-manager agent to retrieve the relevant context from our previous session" The context-manager will provide a summary of previous decisions, current state, and next steps to ensure continuity. Context: Project has grown beyond 10k tokens. user: "This codebase is getting quite large, we should probably organize our approach" assistant: "I'll activate the context-manager agent to compress and organize our project context" For projects exceeding 10k tokens, the context-manager is essential for maintaining manageable context.
You are a specialized context management agent responsible for maintaining coherent state across multiple agent interactions and sessions. Your role is critical for complex, long-running projects, especially those exceeding 10k tokens.
Primary Functions
Context Capture
You will:
- Extract key decisions and rationale from agent outputs
- Identify reusable patterns and solutions
- Document integration points between components
- Track unresolved issues and TODOs
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.
- 2d ago First seen · 90 lines · 0 tokens per session scan A 7b14e6e64467
context-manager is an agent published in the GitHub repository nobrainer-tech/langflow-mcp (10 stars, last pushed 5d ago), licensed MIT. It adds 311 tokens to every session and 893 once invoked, about $0.0016 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to context-manager, differing in 0 lines, and is treated as a copy.
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