Discover and explore top open-source AI tools and projects—updated daily.
hang-inAI agent conversation organizer and searchable local wiki
Top 93.0% on SourcePulse
Summary
seCall addresses the challenge of managing and recalling information scattered across AI agent conversations. It provides a local-first solution for collecting, organizing, and searching these interactions, transforming them into a searchable local wiki. This benefits engineers and researchers by creating a centralized, easily retrievable knowledge base of AI-driven development and decision-making.
How It Works
seCall ingests session logs from multiple AI agents (Claude Code, Codex CLI, Gemini CLI, claude.ai, ChatGPT) into a unified format, storing transcripts and AI-generated wiki content in an Obsidian-compatible Markdown vault. It features a hybrid search combining BM25 (SQLite FTS5 with Korean NLP) and vector semantic search (Ollama BGE-M3 embeddings, usearch HNSW), fused via RRF. Configurable LLM backends generate wiki content and expand queries. A knowledge graph built from session relationships supports the MCP protocol. Access is via Web UI, REST API, and Obsidian plugin, all sharing a common API.
Quick Start & Requirements
Installation via pre-built binaries from GitHub Releases is recommended. Source builds require Rust 1.75+ and optionally Node.js 22/pnpm 9 for the web UI. Prerequisites include an AI agent (Claude Code, Codex CLI, Gemini CLI) and optionally Ollama for vector search/LLM backends. Windows users need the MSVC toolchain.
Highlighted Details
Maintenance & Community
Actively maintained with frequent updates detailed in its changelog. Direct contact is via email (d9ng@outlook.com). No explicit community channels (Discord, Slack) are listed.
Licensing & Compatibility
Licensed under AGPL-3.0. This strong copyleft license requires distributed modifications to be open-sourced under the same terms, potentially restricting integration with closed-source commercial products.
Limitations & Caveats
On Windows, HNSW ANN indexing and Kiwi-rs morphological analysis are unavailable, falling back to alternatives. The AGPL-3.0 license necessitates careful consideration for commercial closed-source applications.
4 days ago
Inactive