Evolver — Self-Evolving Agent Memory
Persistent, auditable evolution memory for the Claude Code agent — recalls what worked, detects improvement signals, records outcomes. Powered by the Genome Evolution Protocol…
Lot de plugins · par EvoMap
Aperçu
Evolver — Self-Evolving Agent Memory est un lot de plugins pour les outils de code IA publié par EvoMap. Places de marché que nous lisons et qui le référencent : 1 (Community GitHub marketplaces). Le dernier changement enregistré date du 2026-10-21. Selon notre passage sur les places de marché du 2026-10-22.
Persistent, auditable evolution memory for the Claude Code agent — recalls what worked, detects improvement signals, records outcomes. Powered by the Genome Evolution Protocol (GEP).
Ce qu'il demande
- S'installe comme lot de plugins
- Paramètres : 3
- Hooks : 3
Ce qu'il déclare, demande et exécute, en détail
N’installez que des plugins de développeurs en qui vous avez confiance. Nous reprenons ce que publient les places de marché et ne testons pas les plugins.
Fonctionne avec
- Claude Code
D'après les marketplaces qui le listent et le transport MCP qu'il déclare, tels que chaque client les documente. Nous ne testons pas les plugins.
Connecter
Commandes et configurations construites uniquement à partir de ce que déclarent ses places de marché. Nous ne les exécutons pas pour vous et ne testons pas les plugins.
En plugin Claude Code
Construit à partir de ce que déclare Community GitHub marketplaces.
/plugin marketplace add evomap/evolver-claude-code-plugin
/plugin install evolver@evolverOù il est publié
| Place de marché | Statut | Version | Chiffres | Vérifié | Vu pour la première fois |
|---|---|---|---|---|---|
| Place de marché communautaire evomap/evolver-claude-code-plugin (Ouvrir la source sur GitHub) | Référencé | 0.2.2 | Forks (GitHub): 0 Étoiles (GitHub): 18 |
Non marqué |
Chaque chiffre est celui de la place de marché et n'est jamais additionné entre places de marché. Une place de marché qui ne publie pas de chiffre n'en affiche aucun : pas de nombre ne veut pas dire zéro.
Listé dans une place de marché communautaire
| Place de marché | Dépôt | Étoiles (GitHub) |
|---|---|---|
| evolver | evomap/evolver-claude-code-plugin | 18 |
Quelles places de marché nous lisons et comment nous les vérifions
Ce que contient le lot
Tel que publié sur Community GitHub marketplaces.
Serveurs MCP: 1
evolver-proxy
Skills: 1
capability-evolver
Commandes: 8
distillevolvereviewrunsearchsolidifystatussync
Hooks: 3
PostToolUseSessionStartStop
Ce qui a changé
- Est devenu un produit que nous suivons
- Community GitHub marketplaces: apparu
Plugins similaires
Produits dont les noms, descriptions, outils et skills sont les plus proches de celui-ci par le sens, sur toutes les places de marché que nous lisons. La proximité n'est classée qu'à l'intérieur de cette liste.
-
Official Codex Desktop plugin for Evolver: GEP workflows, local Proxy MCP tools, and auditable agent self-evolution.
-
Autonomous multi-agent software evolution via /factory:implement
-
Autonomous LLM agent optimization using LangSmith. Spawns 5 parallel proposers in git worktrees, evaluates candidates via LangSmith experiments, and merges winners automatically…
-
Skill auto-evolution engine - combines skill-creator evaluation + autoresearch iteration principles to automatically create, evaluate, and evolve Claude Code skills through gated…
-
Self-evolution engine for AI agents; protocol-constrained evolution via EvoMap A2A and a local Proxy mailbox
-
Persistent decision memory for AI agents: rationale, rejected approaches, and entity history.
-
Structured experiment-driven code optimization using tree search and parallel subagents
-
Decision lock, anti-hallucination, meta-evolution and provenance for any MCP agent. 55 tools.
-
Curate auto-memory, promote learnings to CLAUDE.md and rules, extract patterns into skills. Ships 5 slash commands (/si:memory-review, /si:promote, /si:extract, /si:memory-status…
-
Local-first memory for AI coding agents: captures feedback and failures, turns them into ranked, conflict-resolved technical rules, and injects the relevant ones into Claude Code…
Plugins similaires par place de marché
La même question posée à chaque place de marché séparément : y a-t-il là un équivalent de ce plugin ?
Référencé sur Claude Code: claude-plugins-community (5)
-
Autonomous LLM agent optimization using LangSmith. Spawns 5 parallel proposers in git worktrees, evaluates candidates via LangSmith experiments, and merges winners automatically…
-
Persistent conversation memory for Claude Code. Semantic search across past sessions, session continuity detection, cross-project intelligence, and predictive context injection…
-
Persistent memory for AI coding agents. SQLite knowledge graph with scoped entities, MCP tools, and LLM-summarized briefings.
-
A self-improving agent skill pipeline that prevents common AI coding agent failures. Includes 6 skills (plan-interview, intent-framed-agent, context-surfing, simplify-and-harden…
-
Context engineering plugin for Claude Code — real-time prompt scoring, RLM adaptive weights, and token optimization. Scores every tool use across 5 dimensions (token utilization…
Référencé sur Claude Code: claude-plugins-official (5)
-
Interactive self-referential AI loops for iterative development, implementing the Ralph Wiggum technique. Claude works on the same task repeatedly, seeing its previous work, until…
-
Continuous memory for Claude Code. Extracts, summarizes, and compresses conversations into tiered daily logs. Claude remembers what you did yesterday.
-
Comprehensive development workflow for building AI agents with the Atomic Agents framework. Includes specialized agents for schema design, architecture planning, code review, and…
-
Output.ai workflow development toolkit for Claude Code. Adds 5 specialist agents (planner, builder, debugger, prompt writer, quality reviewer), 40+ slash-command skills covering…
-
Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.
Référencé sur Claude: knowledge-work-plugins (5)
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Streamline engineering workflows — standups, code review, architecture decisions, incident response, and technical documentation. Works with your existing tools or standalone.
-
Connects Claude Code to the Synthflow AI voice-agent platform through its hosted MCP server, with skills for reviewing calls and auditing agent prompts, plus a docs-search…
Référencé sur Codex: openai-curated (openai/plugins) (5)
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
An agentic skills framework & software development methodology that works: planning, TDD, debugging, and collaboration workflows.
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Notion workflows for implementation planning, research synthesis, meeting preparation, and knowledge capture.
Référencé sur Community GitHub marketplaces (5)
-
Official Codex Desktop plugin for Evolver: GEP workflows, local Proxy MCP tools, and auditable agent self-evolution.
-
Autonomous multi-agent software evolution via /factory:implement
-
Skill auto-evolution engine - combines skill-creator evaluation + autoresearch iteration principles to automatically create, evaluate, and evolve Claude Code skills through gated…
-
Self-evolution engine for AI agents; protocol-constrained evolution via EvoMap A2A and a local Proxy mailbox
-
Persistent decision memory for AI agents: rationale, rejected approaches, and entity history.
Référencé sur Copilot CLI: github/awesome-copilot (5)
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Goal-driven task orchestration with independent verification. Interviews the user to define a clear goal, then loops between a Builder subagent (does the work) and an Inspector…
-
Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
-
Turn your Copilot sessions into proof of impact — research-grounded HTML reports with effort estimation, skills analysis, and ROI metrics from local session logs.
-
A runtime-portable 5-agent quality gate that adjudicates text artifacts before they ship. Five role-conditioned LLM deliberators run a 2-round async protocol with cross-read…
Référencé sur Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
-
Build and manage Microsoft Dataverse solutions using natural language. Includes table/column creation, solution lifecycle, data operations, and MCP server configuration.
Référencé sur Cursor: cursor/plugins (5)
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
if you want to go fast, go deep first. pstack helps you write less, but higher quality code. rigorous agent workflows you can parallelize with confidence.
-
Skills for building on the Cursor Origin API. Fetch the live spec first, then follow the Origin rules for credentials, scopes, webhooks, paging, and errors. Includes a skill that…
Référencé sur Docker MCP Catalog (5)
-
Sequential Thinking (Reference)
Dynamic and reflective problem-solving through thought sequences.
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Wayfound’s MCP server allows business users to govern, supervise, and improve AI Agents.
-
Bridges multiple AI models and CLIs, enabling orchestrated workflows across Claude Code, Gemini CLI, Codex CLI, and other AI development tools.
-
Stop stitching context for Copilot and Cursor. With Sequa MCP, your AI tools know your entire codebase and docs out of the box.
Référencé sur Official MCP Registry (5)
-
Persistent decision memory for AI agents: rationale, rejected approaches, and entity history.
-
Decision lock, anti-hallucination, meta-evolution and provenance for any MCP agent. 55 tools.
-
Persistent, local-first memory for AI coding agents. Remember, recall and forget across sessions.
-
Context Assurance for AI agents: context engineering, AI cost optimization, verification.
-
yggdrasil io.github.VonderVuflya/yggdrasil
One shared, durable memory for your AI coding agents — local-first, zero-dependency.
Référencé sur npm registry (MCP servers) (5)
-
One workspace for every AI coding assistant. Shared tasks, memory, and governance.
-
Local persistent memory and Markdown wiki for AI coding agents: 24 MCP tools, no gateway required.
-
Discover and load Agent Skills from configured local directories and Git sources over stdio MCP.
-
genexus io.github.lennix1337/genexus
Read, edit, and analyze GeneXus 18 KB objects from Claude, Cursor, and AI agents.
-
Human-in-the-loop for AI agents over MCP elicitation: confirm/form dialogs plus a capability doctor
Trouvés par le sens, et non par un code ou un dépôt commun : les plugins similaires restent des produits distincts, et ceci n'est ni un avis ni une recommandation.
Vous voulez cette marque pour votre plugin dans notre catalogue ?
Prouvez que vous le maintenez avec un fichier dans son dépôt, un fichier sur votre domaine ou un enregistrement DNS, et vous pourrez afficher cette marque sur la fiche, avec des bannières à jour pour votre site et votre README. Comment se passe la vérification
Vous recevez aussi des alertes quand une marketplace le publie, le retire, change sa marque vérifiée ou ce qu'il demande, et son endpoint distant est surveillé comme un service web.
Données issues de Community GitHub marketplaces. Les chiffres proviennent de nos propres passages réguliers sur les places de marché, dernière lecture le . Nous ne publions aucune coordonnée des éditeurs de plugins.