Simulates and ranks improvement strategies for token cascade efficiency, providing actionable suggestions with projected yield impact and the best single change to implement.
MIT
306,569 tools. Last updated 2026-07-25 14:55
"Resources and Strategies for Self-Improvement" matching MCP tools:
- Records agent run reflections including successes, improvement areas, missing context, and tool needs. Entries are reviewed weekly for self-improvement proposals.AGPL 3.0
- Distills frequently recurring reflection themes into searchable semantic memory and removes stale working memory entries for autonomous agent self-improvement.AGPL 3.0
- Get a health report on the estimation feedback loop, displaying total estimates, actuals, match rate, MAPE by tool and task type, and self-improvement readiness for auto-calibration.Apache 2.0
- Draft a skill-improvement proposal by analyzing recent reflexions and appending self-improvement notes to the agent's skill file. The draft is queued for review before application.AGPL 3.0
- Apply a self-improvement proposal to disk, automatically backing up the previous version and updating the proposal status.AGPL 3.0
Matching MCP Servers
- AlicenseBqualityDmaintenanceProvides 10 structured reasoning strategies (Chain of Thought, ReAct, Tree of Thoughts, etc.) for complex problem-solving with session persistence, branching, and tool integration capabilities.Last updated3726MIT
- FlicenseAqualityDmaintenanceProvides access to Brian Eno and Peter Schmidt's Oblique Strategies card deck to help users overcome creative blocks through lateral thinking. It enables searching and retrieving random prompts from various editions, including collections adapted specifically for programmers.Last updated31
Matching MCP Connectors
Send a thought, get one metathought that makes your agent inspect its own assumptions. Keyless.
Engineering log of self-hosted AI on NVIDIA DGX Spark (GB10/SM121A). 60+ articles indexed.
- Track MiniMax usage patterns across sessions. Use 'start' to check current mode, 'end' to record session results with root cause notes for missed targets, and 'status' to view progress and trends for self-improvement.MIT
- Generate a draft skill-improvement proposal based on recent reflexions. It appends self-improvement notes to the agent's skill file and queues the proposal for review.AGPL 3.0
- Run self-optimization analysis to receive improvement recommendations. Optionally include performance metrics or apply safe recommendations automatically.MIT
- Improve AI prompts using Gemini API strategies like Few-Shot examples and structured formatting to increase response quality and clarity.MIT
- Retrieve a complete inventory of all Experience Decisioning resources in the sandbox, including offers, collections, eligibility rules, ranking formulas, selection strategies, and placements.
- Retrieve a complete inventory of all Experience Decisioning resources in your sandbox, including offers, collections, rules, formulas, strategies, and placements.
- Improves prompts using Gemini API strategies like few-shot examples, output formatting, and context placement to enhance AI response quality.MIT
- Run several trading strategies on identical data and view side-by-side comparisons, with support for benchmarks and adjustable result detail.MIT
- Identifies stocks with upcoming earnings and elevated implied volatility to find candidates for short-volatility strategies like iron condors and strangles.MIT
- Retrieve strategies that have a journal with history of snapshots and runs for review.Apache 2.0
- Returns up to six Aurora-recommended strategies for a given bot type. Use it to browse trading strategies without first selecting a symbol.MIT
- Find the right contact channel for Everstake inquiries, including social media and company resources, with a routing guide for specific purposes.BSD 3-Clause
- Lists active strategies with their status and subscribed symbols. Use to see what's currently running.MIT
- Retrieve a list of all registered AlphaForge strategies including their IDs, names, versions, and timeframes for review or selection.Apache 2.0