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io.github.AIAppsAPI/adaptive-recall

Registre officiel IA et agents

Adaptive memory system with cognitive scoring, knowledge graph, and self-improving ML.

Code source Documentation

Que pouvez-vous faire avec io.github.AIAppsAPI/adaptive-recall ?

  • Multi-strategy retrieval: four search strategies run in parallel (vector similarity, temporal recency, full-text keyword, knowledge graph traversal) and the system learns which to prioritize for each type of query
  • Cognitive scoring: results ranked using ACT-R activation modeling from cognitive science, factoring in recency, access frequency, entity connections, and validated confidence
  • Knowledge graph: entities and relationships extracted automatically from stored memories, used as a retrieval pathway alongside text similarity
  • Memory lifecycle: memories progress through stages, gain or lose confidence based on corroborating evidence, and fade naturally when unused
  • Self-improving: ML models train on your usage patterns, every parameter change must pass statistical validation against real query history before being adopted
  • Retrieval quality monitoring: the system verifies its own retrieval consistency and identifies knowledge gaps

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

NPM package adaptive-recall
Claude Code 
claude mcp add adaptive-recall -e 'ADAPTIVE_RECALL_API_KEY=<your adaptive_recall_api_key>' -- npx -y adaptive-recall@1.0.1
Configuration JSON (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "adaptive-recall": {
            "command": "npx",
            "args": [
                "-y",
                "adaptive-recall@1.0.1"
            ],
            "env": {
                "ADAPTIVE_RECALL_API_KEY": "<your adaptive_recall_api_key>"
            }
        }
    }
}

Variables d'environnement

  • ADAPTIVE_RECALL_API_KEY obligatoire secret Your Adaptive Recall API key (get one free at adaptiverecall.com)

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. Adaptive Recall
  2. What It Does
  3. Connect
  4. Actions
  5. Memory Types
  6. Pricing
  7. Links

Adaptive Recall

Adaptive memory system for AI applications. Patent pending.

adaptiverecall.com | Documentation | Sign Up Free

What It Does

Adaptive Recall is a hosted memory server that stores, retrieves, and manages long-term memory for AI applications. It connects via MCP or REST API.

  • Multi-strategy retrieval: four search strategies run in parallel (vector similarity, temporal recency, full-text keyword, knowledge graph traversal) and the system learns which to prioritize for each type of query
  • Cognitive scoring: results ranked using ACT-R activation modeling from cognitive science, factoring in recency, access frequency, entity connections, and validated confidence
  • Knowledge graph: entities and relationships extracted automatically from stored memories, used as a retrieval pathway alongside text similarity
  • Memory lifecycle: memories progress through stages, gain or lose confidence based on corroborating evidence, and fade naturally when unused
  • Self-improving: ML models train on your usage patterns, every parameter change must pass statistical validation against real query history before being adopted
  • Retrieval quality monitoring: the system verifies its own retrieval consistency and identifies knowledge gaps

Connect

Sign up at adaptiverecall.com to get your server URL and API key.

MCP Configuration

Add to your MCP client config (Claude Code, Codex, Cursor, or any MCP-compatible tool):

{
  "mcpServers": {
    "adaptive-recall": {
      "type": "url",
      "url": "https://YOUR_SERVER_URL/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

For Claude Code, add this to .mcp.json in your project or ~/.claude/settings.json for global access. For Gemini CLI, add to ~/.gemini/settings.json using httpUrl instead of url. For Codex, add to your Codex MCP configuration.

REST API

Every action is also available as an HTTP endpoint at https://YOUR_SERVER_URL/v1/. All requests require a Bearer token in the Authorization header.

Actions

ActionDescription
storeSave a new memory. Generates embeddings and extracts entities automatically.
recallSearch memories using multi-strategy retrieval with cognitive scoring.
updateModify an existing memory. Re-embeds automatically if content changes.
forgetRemove a memory by ID or by finding the closest match to a query.
graphExplore the knowledge graph, traversing entity relationships by name and depth.
statusSystem health, memory counts, confidence distribution, and knowledge gap detection.
snapshotGet a formatted overview of stored memories, organized by type.
feedbackSend feedback directly to the Adaptive Recall developers.

Memory Types

When storing memories, assign a type that affects how the memory is managed:

Learning types (evolve over time, gain/lose confidence, have lifecycle stages):

  • general_knowledge - facts, observations, reference information
  • user_knowledge - information about people and their preferences

Lookup types (static reference, no lifecycle):

  • callable_scripts - tool and script references
  • work_project - project tracking, tasks, deadlines
  • cross_reference - pointers to external information and resources
  • learned_procedure - multi-step workflows and procedures

Pricing

Free, Starter, Pro, and Business plans available. See adaptiverecall.com for details.

Questions fréquentes

Qu'est-ce que io.github.AIAppsAPI/adaptive-recall ?

Adaptive memory system with cognitive scoring, knowledge graph, and self-improving ML.

Comment installer io.github.AIAppsAPI/adaptive-recall ?

Il s'exécute sur votre machine. Dans Claude Code : claude mcp add adaptive-recall -e 'ADAPTIVE_RECALL_API_KEY=<your adaptive_recall_api_key>' -- npx -y adaptive-recall@1.0.1. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour io.github.AIAppsAPI/adaptive-recall ?

Oui. Il attend ADAPTIVE_RECALL_API_KEY, à renseigner dans sa configuration.

io.github.AIAppsAPI/adaptive-recall est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient io.github.AIAppsAPI/adaptive-recall ?

Il est publié par AIAppsAPI. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.