claw-recallSearchable conversation memory that survives context compaction. Indexes session transcripts into SQLite with full-text and semantic search so your agent can...
Install via ClawdBot CLI:
clawdbot install rodbland2021/claw-recallGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/rodbland2021/claw-recallAudited Apr 17, 2026 · audit v1.0
Generated Mar 22, 2026
A distributed team uses multiple AI agents for coding, debugging, and documentation. After context compaction, developers lose track of decisions made earlier in the sprint. Claw Recall allows agents to search past conversations to recover API design choices, bug fixes, and task assignments, ensuring continuity across sessions and agents.
A support team employs AI agents to handle customer inquiries via email and chat. When agents lose context between shifts, they struggle to recall previous interactions or solutions. Claw Recall indexes Gmail and Slack conversations, enabling agents to quickly search for past resolutions and maintain consistent, informed responses.
Researchers use AI agents to analyze datasets, write reports, and collaborate on findings. Context loss during long analysis sessions leads to repeated work. Claw Recall helps agents search across indexed Google Drive documents and conversation histories to recover insights, share findings, and avoid duplication of effort.
Project managers rely on AI agents to track tasks, meetings, and decisions across multiple projects. After context resets, critical details from earlier discussions are lost. Claw Recall allows agents to browse recent transcripts and search memory for past decisions, ensuring project timelines and deliverables are accurately maintained.
Legal teams use AI agents to review contracts, regulations, and correspondence. Context compaction can erase important legal precedents or compliance notes. Claw Recall enables semantic and keyword search across indexed conversations and documents, helping agents recover and reference critical legal context efficiently.
Offer Claw Recall as a free, open-source tool for individual developers and small teams. Generate revenue through optional paid support plans, consulting for custom integrations, and premium features like advanced analytics or enhanced source connectors. This model attracts users who value data privacy and no vendor lock-in.
Develop a cloud-based version of Claw Recall with managed hosting, scalability, and enterprise-grade security. Charge subscription fees based on usage tiers, number of agents, or data volume. Include features like automated backups, team collaboration tools, and dedicated customer support to target larger organizations.
Partner with AI platform providers (e.g., OpenClaw, Claude Code) to bundle Claw Recall as a premium memory module. Revenue comes from licensing fees per user or agent, referral commissions, and co-marketing initiatives. This model leverages existing user bases and enhances the value of partner ecosystems.
💬 Integration Tip
Ensure the PYTHONPATH environment variable is correctly set to the claw-recall installation directory, and consider using the SSE server for remote agent connections to enable cross-machine search capabilities.
Scored Jun 19, 2026
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
Stop waiting for prompts. Keep working.
Turn OpenClaw into a learning-loop agent with seeded workspace rules, skill promotion, reflective memory, and proactive maintenance.
Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents with dynamically generated SKILL.md files, coordinates file-based communication, consolidates results, and dissolves agents upon completion. MANDATORY TRIGGERS: orchestrate, multi-agent, decompose task, spawn agents, sub-agents, parallel agents, agent coordination, task breakdown, meta-agent, agent factory, delegate tasks
Complete toolkit for creating autonomous AI agents and managing Discord channels for OpenClaw. Use when setting up multi-agent systems, creating new agents, or managing Discord channel organization.
Billions decentralized identity for agents. Link agents to human identities using Billions ERC-8004 and Attestation Registries. Verify and generate authentic...