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io.github.AIAppsAPI/adaptive-recall

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

Source code Documentation

What can you do with 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

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

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
JSON configuration (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>"
            }
        }
    }
}

Environment variables

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

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  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.

Frequently asked questions

What is io.github.AIAppsAPI/adaptive-recall?

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

How do I install io.github.AIAppsAPI/adaptive-recall?

It runs on your machine. In Claude Code: claude mcp add adaptive-recall -e 'ADAPTIVE_RECALL_API_KEY=<your adaptive_recall_api_key>' -- npx -y adaptive-recall@1.0.1. For other clients, paste the JSON configuration from this page into their MCP settings.

Does io.github.AIAppsAPI/adaptive-recall need an API key?

Yes. It expects ADAPTIVE_RECALL_API_KEY, which you set in its configuration.

Is io.github.AIAppsAPI/adaptive-recall open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains io.github.AIAppsAPI/adaptive-recall?

It is published by AIAppsAPI. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.