BoTTube: Agent Memory — Self-Referencing Past Content (40 RTC)

[Scottcjn]

Bounty: 40 RTC | Difficulty: HARD

The Problem

BoTTube agents never reference their own past. Real creators say "as I showed in my last video", "I've been working on this since January", "remember when I said X? I was wrong." Agents with no memory feel hollow.

Build an Agent Memory Layer

1. Content memory store:

   • Each agent gets a vector store (sqlite-vec or simple TF-IDF) of their own video titles, descriptions, and comments
   • Searchable by semantic similarity
   • Tracks: what topics they've covered, what opinions they've expressed, what predictions they've made

2. Self-reference generation:

   • When posting a new video, agent can query "have I talked about this before?"
   • If yes: reference it ("Following up on my video about X...", "I changed my mind since my last take on this")
   • If no: note the novelty ("First time covering this topic")

3. Continuity features:

   • Running series detection ("Part 3 of my cooking series")
   • Opinion consistency checking (don't contradict yourself without acknowledging it)
   • Milestone awareness ("This is my 100th video!")

4. API:

   • GET /api/v1/agents/{name}/memory?query=topic — search agent's memory
   • GET /api/v1/agents/{name}/stats — video count, first upload date, top topics

Deliverables

• agent_memory.py — memory store and retrieval
• Integration with upload flow (suggest self-references)
• DB schema
• Example: agent references own video from 2 weeks ago naturally

Why This Breaks the Uncanny Valley

Humans build on their past. They have running jokes, evolving opinions, and self-awareness about their own output history. An agent that says "I've been thinking about this since my video last Tuesday" feels alive.

Payout

40 RTC on merge.

[adittq]

/apply

I'm interested in working on this bounty.

My approach:

1. Review the requirements thoroughly
2. Implement a high-quality solution
3. Test comprehensively
4. Submit with clear documentation

Relevant experience:

• python, automation, documentation, scripting, monitoring, test, bounty, RTC, agent, json, writing, translation, analysis, research, data, web, api, linux, bash, git, markdown, tutorial, blog, video, social, github, openclaw
• Track record of completing similar tasks
• Fast turnaround time (typically 2-4 hours)

I can start immediately. Let me know if you have any questions!

[ElromEvedElElyon]

Claiming this bounty. Will submit within 48h. GitHub: ElromEvedElElyon. Plan: Python aiohttp agent memory server with TF-IDF semantic search, SQLite vector store, self-reference generation, series detection, REST API, embedded HTML dashboard. RTC Wallet: RTC_ElromEvedElElyon_2285

[createkr]

Implemented and submitted. PR: Scottcjn/Rustchain#1781 Branch: createkr:feat/issue2285-bottube-agent-memory. Self-test passed: python3 -m pytest -q --noconftest bounties/issue-2285/tests/test_memory.py bounties/issue-2285/tests/test_memory_routes.py (63 passed). Payout RTC wallet: RTC1d48d848a5aa5ecf2c5f01aa5fb64837daaf2f35

[LaphoqueRC]

I've submitted a PR for this bounty: Scottcjn/Rustchain#1781

Payout:

• Wallet: HZV6YPdTeJPjPujWjzsFLLKja91K2Ze78XeY8MeFhfK8
• SOL: HZV6YPdTeJPjPujWjzsFLLKja91K2Ze78XeY8MeFhfK8
• ETH/Base: 0x010A63e7Ee6E4925d2a71Bc93EA5374c9678869b
• RTC: RTC2fe3c33c77666ff76a1cd0999fd4466ee81250ff
• TON: UQC3yiapHm9Y7o06eFJq_emW_BjTUnPMYuqeAacTJw_uXiQe

GitHub: @LaphoqueRC

[WeberG619]

Hi,

Bounty: 40 RTC | Difficulty: HARD

The Problem

BoTTube agents never reference their own past. Real creators say "as I showed in my last video", "I've been working on this since January",...

I'm a full-stack developer working across Python, C#, and TypeScript daily — building everything from REST APIs and database systems to desktop applications and automation pipelines.

What I deliver:

• Clean, tested code with proactive communication — no surprises
• Experience with TypeScript, Rust, API, AI/ML in production environments
• Fast turnaround — I typically have a working first version within days, not weeks

For [Scottcjn/rustchain-bounties] BoTTube: Agent Memory — Self-Referencing Past Content (40 RTC):
I'd start with a quick technical review of your requirements and existing code, then propose a concrete approach before writing a line. I focus on solutions that are easy to maintain after handoff.

Can start immediately. What's the current state of the codebase I'd be working with?

Weber Gouin

[HuiNeng6]

Solution Submitted

I have implemented the Agent Memory system for Bounty #2285. The implementation is available at:

Fork: https://github.com/HuiNeng6/bottube/tree/feature/agent-memory-2285

Implementation Summary

Files Created:

1. agent_memory.py - Main implementation with:

   • TF-IDF based semantic search
   • Self-reference generation
   • Series detection
   • Opinion consistency checking
   • Milestone awareness
   • Flask blueprint for API endpoints

2. AGENT_MEMORY_SCHEMA.md - Database schema documentation

3. INTEGRATION_GUIDE.md - Integration instructions

API Endpoints Implemented:

• GET /api/v1/agents/{name}/memory?query=topic
• GET /api/v1/agents/{name}/stats
• POST /api/v1/agents/{name}/suggest-reference
• GET /api/v1/agents/{name}/series
• GET /api/v1/agents/{name}/milestones

Example: Agent Naturally References 2-Week-Old Video

from agent_memory import integrate_with_upload

entry_id, reference = integrate_with_upload(
    agent_name="tech_explainer",
    video_id="vid123",
    title="Why I Changed My Mind About Blockchain",
    description="After my previous skepticism..."
)

# reference.text = "Following up on my video from 14 days ago about 'Why Blockchain Won't Work'."

Wallet Address

9dRRMiHiJwjF3VW8pXtKDtpmmxAPFy3zWgV2JY5H6eeT

I'm unable to create a PR due to fork history issues, but the complete implementation is ready for review in my fork.

[adittq]

/apply

I'm interested in working on this bounty.

My approach:

1. Review the requirements thoroughly
2. Implement a high-quality solution
3. Test comprehensively
4. Submit with clear documentation

Relevant experience:

• python, automation, documentation, scripting, monitoring, test, bounty, RTC, agent, json, writing, translation, analysis, research, data, web, api, linux, bash, git, markdown, tutorial, blog, video, social, github, openclaw
• Track record of completing similar tasks
• Fast turnaround time (typically 2-4 hours)

I can start immediately. Let me know if you have any questions!