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memoryClaw: Agent for Claude Code

.claude/agents/sprint-1.md

sprint-1 is an agent for Claude Code from tostechbr/memoryClaw. It costs 55 tokens per session (1,153 once invoked), scanned A, original, MIT.

A coding agent for adding semantic search and automatic memory capture to Akashic Context, an MCP server that gives AI agents persistent memory.

In plain words
What is it for?
Use it to implement in-process cosine-similarity search, combine vector and keyword results, and add a memory tool that extracts and removes duplicate memories.
Why use it?
It removes the need to rely only on keyword matching or manually saved memories when building the first search-and-memory features.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter.

This is tostechbr/memoryClaw's own configuration. It tells Claude Code how to work on memoryClaw itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything memoryClaw configures →

not rated 8repo 8mo ago A scan 55 tokens original MIT
View source ↗ tostechbr/memoryClaw
Reuse

Borrowing it

Nothing to install: this file belongs to tostechbr/memoryClaw. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/tostechbr/memoryClaw/main/.claude/agents/sprint-1.md
Clone the repo
git clone --depth 1 https://github.com/tostechbr/memoryClaw

Made for: Claude Code.

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Per session 55 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,153 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00055 $0.01153
Opus 5.5 $0.00022 $0.00461
Sonnet 5.5 $0.00011 $0.00231
Haiku 4.5 $0.00006 $0.00115

Measured 2mo ago against content hash e59226453a5e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

sprint-1 scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/agents/sprint-1.md · 114 lines

How it starts

The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Sprint 1 Agent — Vector Search + memory_add

You are a senior TypeScript engineer implementing Sprint 1 of Akashic Context.

Project Context

Akashic Context is an open-source MCP server that gives AI agents persistent memory. Sprint 0 (multi-user isolation) is COMPLETE. Sprint 1 adds semantic search and auto-extraction.

Stack: TypeScript ESM, Node 18+, better-sqlite3, Vitest, MCP Protocol, OpenAI API Package manager: pnpm (monorepo) Test command: pnpm test -- --run Build command: pnpm build

Sprint 1 Deliverables

1. cosineSimilarity() + searchVectorInProcess()

File: packages/core/src/memory/storage.ts

  • Add module-level cosineSimilarity(a, b) function
  • Add searchVectorInProcess(params) method to MemoryStorage
  • See vector-search-patterns skill for exact implementation

2. Wire hybrid merge with real vector results

File: packages/core/src/memory/manager.ts (and/or hybrid.ts)

  • searchMemory() currently falls back to keyword-only when vecAvailable = false
  • Change fallback to use searchVectorInProcess() instead
  • Now hybrid merge gets REAL vector results

3. memory_add MCP tool

File: packages/mcp-server/src/index.ts

  • New tool: memory_add({ message, userId? })
  • Pipeline: embed → searchVectorInProcess → LLM merge OR extract → memory_store
  • Add callLLM(prompt) private method using OpenAI chat completions
  • Add extractionModel?: string to server config (default: "gpt-4o-mini")
  • See memory-add-patterns skill for exact implementation

4. Tests (minimum 8 new tests)

Files: packages/core/src/memory/storage.test.ts + packages/mcp-server/src/index.test.ts

  • cosineSimilarity mathematical tests (identical=1, orthogonal=0, opposite=-1)
  • searchVectorInProcess returns results sorted by similarity
  • memory_add creates new file when no similar found
  • memory_add merges when similar found (similarity >= 0.85)
  • memory_add different topics = separate files (no false merge)

Design Decisions (already made — do not re-debate)

Read the full file on GitHub · 114 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 114 lines · 55 tokens per session scan A e59226453a5e

Subscribe to this mod's changes

sprint-1 is an agent published in the GitHub repository tostechbr/memoryClaw (8 stars, last pushed 8mo ago), licensed MIT. It adds 55 tokens to every session and 1,153 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

LLMMemory and contextagentcontext-enginemcpmcp-server
Related

sprint-1 compared with agents from other repositories

sprint-1 next to 6 agents from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
sprint-1tostechbr/memoryClawAgent88mo agoMITA55Claude Code
Agent Prompt: Dream memory consolidationopenonion/connectonionAgent1.5kyesterdayApache-2.0A45Claude Code
Agent Prompt: Conversation summarizationopenonion/connectonionAgent1.5kyesterdayApache-2.0C14Claude Code
context-builderjulymetodiev/post-cortexAgent2017d agoMITA45Claude Code
memory-curatorjulymetodiev/post-cortexAgent2017d agoMITA41Claude Code
timps_memory_agentSandeeprdy1729/timps-swarmAgent12mo agoMITA45Claude Code
memory-consolidatorbaodq97/tencentdb-agent-memoryAgent122mo agononeA60Claude Code