agent-recall
SolidPersistent compounding memory for AI agents. 10 MCP tools: session_start, remember, recall, session_end, check, digest, project_board, project_status, bootstrap_scan, bootstrap_import. Correction-first memory with decision trail tracking, watch_for warnings, palace rooms with salience scoring, cross-project insight matching, same-day journal merging, ambient recall hooks. Local markdown only. Zero cloud, zero telemetry, Obsidian-compatible. Optional Supabase backend: when configured via `ar setup supabase`, recall() uses pgvector cosine similarity on OpenAI/Voyage embeddings instead of keyword search — same API, semantic understanding. Gracefully degrades to local search if not configured.
Install
Quality Score: 94/100
Skill Content
Details
- Author
- Goldentrii
- Repository
- Goldentrii/AgentRecall-MCP
- Created
- 2 months ago
- Last Updated
- today
- Language
- TypeScript
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
agent-memory
Recall past mistakes and capture feedback so your agent stops repeating errors. Works locally via MCP server — no API key needed.
agent-memory-mcp
A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
agent-memory-mcp
A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).