Summary
A hosted memory layer that stores and retrieves context for AI applications using four parallel search strategies: vector similarity, temporal recency, keyword matching, and knowledge graph traversal. It automatically extracts entities and relationships from stored memories, ranks results using cognitive science activation models, and trains ML models on your usage patterns to improve retrieval quality over time. Memories have lifecycle stages and gain or lose confidence based on corroboration. You get eight actions including store, recall, update, forget, and graph traversal. Connect via MCP or REST API with your server URL and API key. Useful when you need persistent memory across sessions that actually learns which retrieval strategy works best for different query types rather than just doing basic vector search.
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one prompt install →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
| Action | Description |
|---|---|
| store | Save a new memory. Generates embeddings and extracts entities automatically. |
| recall | Search memories using multi-strategy retrieval with cognitive scoring. |
| update | Modify an existing memory. Re-embeds automatically if content changes. |
| forget | Remove a memory by ID or by finding the closest match to a query. |
| graph | Explore the knowledge graph, traversing entity relationships by name and depth. |
| status | System health, memory counts, confidence distribution, and knowledge gap detection. |
| snapshot | Get a formatted overview of stored memories, organized by type. |
| feedback | Send 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 informationuser_knowledge- information about people and their preferences
Lookup types (static reference, no lifecycle):
callable_scripts- tool and script referenceswork_project- project tracking, tasks, deadlinescross_reference- pointers to external information and resourceslearned_procedure- multi-step workflows and procedures
Pricing
Free, Starter, Pro, and Business plans available. See adaptiverecall.com for details.
Links
Featured
Plug Mailtrap into your AI workflow and let it handle the email.
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Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →Configuration
ADAPTIVE_RECALL_API_KEY*secretYour Adaptive Recall API key (get one free at adaptiverecall.com)
Categories
Registryactive
Packageadaptive-recall
TransportHTTP
AuthRequired
UpdatedMay 13, 2026
