Cognee Session Memory and Improve
topoteretes/cognee
Explains how cognee stores session memory by session_id and bridges it into the permanent graph with improve(), including the stages, results and settings.
Context-aware development assistant for AgenticFleet with auto-learning and dual memory (NeonDB + ChromaDB).
Install Fleet Agent
$ npx skills add Qredence/agentic-fleet --skill fleet-agent -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Qredence/agentic-fleet fleet-agent --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Qredence/agentic-fleet.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.fleet/context/system/fleet-agent .claude/skills/fleet-agent && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "fleet-agent" agent skill from https://github.com/Qredence/agentic-fleet/tree/main/.fleet/context/system/fleet-agent into .claude/skills/fleet-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fleet-agent", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Qredence/agentic-fleet/tree/main/.fleet/context/system/fleet-agentType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Qredence/agentic-fleet --skill fleet-agent -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Qredence/agentic-fleet fleet-agent --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Qredence/agentic-fleet.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.fleet/context/system/fleet-agent .agents/skills/fleet-agent && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "fleet-agent" agent skill from https://github.com/Qredence/agentic-fleet/tree/main/.fleet/context/system/fleet-agent into .agents/skills/fleet-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fleet-agent", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Qredence/agentic-fleet --skill fleet-agent -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Qredence/agentic-fleet fleet-agent --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Qredence/agentic-fleet.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.fleet/context/system/fleet-agent .cursor/skills/fleet-agent && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "fleet-agent" agent skill from https://github.com/Qredence/agentic-fleet/tree/main/.fleet/context/system/fleet-agent into .cursor/skills/fleet-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fleet-agent", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Qredence/agentic-fleet.git --path .fleet/context/system/fleet-agent--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Qredence/agentic-fleet --skill fleet-agent -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Qredence/agentic-fleet fleet-agent --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Qredence/agentic-fleet.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.fleet/context/system/fleet-agent .gemini/skills/fleet-agent && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "fleet-agent" agent skill from https://github.com/Qredence/agentic-fleet/tree/main/.fleet/context/system/fleet-agent into .gemini/skills/fleet-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fleet-agent", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Qredence/agentic-fleet fleet-agentInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Qredence/agentic-fleet --skill fleet-agent -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Qredence/agentic-fleet.git skills-src && mkdir -p .github/skills && cp -r skills-src/.fleet/context/system/fleet-agent .github/skills/fleet-agent && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "fleet-agent" agent skill from https://github.com/Qredence/agentic-fleet/tree/main/.fleet/context/system/fleet-agent into .github/skills/fleet-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fleet-agent", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Qredence/agentic-fleet --skill fleet-agent -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Qredence/agentic-fleet fleet-agent --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Qredence/agentic-fleet.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.fleet/context/system/fleet-agent .opencode/skills/fleet-agent && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "fleet-agent" agent skill from https://github.com/Qredence/agentic-fleet/tree/main/.fleet/context/system/fleet-agent into .opencode/skills/fleet-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fleet-agent", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
fleet-agent- GitHub stars
- 111
- Token cost
- ~994 tokens
- SKILL.md length
- 191 words
- Files
- 1
- Skills in repo
- 10
- Repo updated
- First seen
- Licence
- MIT
At a glance
Context-aware development assistant for AgenticFleet with auto-learning and dual memory (NeonDB + ChromaDB).
- Works in 3 steps: Core Memory (.fleet/context/core/):… → Topic Blocks (.fleet/context/blocks/):… → Skills (ChromaDB + NeonDB): Semantic +…
- Tasks that involve Context engineering
- SKILL.md covers Memory Architecture, Usage Examples, Commands and Auto-Learning, plus 2 more sections
- Calls uv
What it does
Fleet Agent is an agent skill from Qredence/agentic-fleet. Context-aware development assistant for AgenticFleet with auto-learning and dual memory (NeonDB + ChromaDB). Handles development workflows with intelligent context management.
Its SKILL.md is about 990 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows, covering Context engineering. It works with Chroma and Python. The repository describes itself as: Adaptive Agentic AI Reasoning using Microsoft Agent Framework -- Join the Discord for suggestion or support ! https://discord.gg/ebgy7gtZHK. The licence is MIT.
When your agent uses it
- Tasks that involve Context engineering
Example prompts
- “/fleet-agent”
Requirements
- Python 3
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Core Memory (.fleet/context/core/): Always loaded
- Topic Blocks (.fleet/context/blocks/): Loaded on demand
- Skills (ChromaDB + NeonDB): Semantic + structured patterns
What it can do on your machine
Read from SKILL.md and the folder at commit 46a254b. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
uv
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Fleet Agent loads about 994 tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 191 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from Qredence/agentic-fleet at commit 46a254b, republished under its MIT licence (© Qredence). 191 words, ~994 tokens.
Download SKILL.mdSave it as
.claude/skills/fleet-agent/SKILL.md (or your agent's skills folder).- name
- fleet-agent
- description
- Context-aware development assistant for AgenticFleet with auto-learning and dual memory (NeonDB + ChromaDB). Handles development workflows with intelligent context management.
- focus
- development, context-management, pattern-learning, code-analysis
- triggers
- add an agent, create a workflow, DSPy signature, test code, memory operations, code analysis, pattern extraction
- capabilities
- Context-aware block loading (keyword-based), Dual database search (NeonDB structured + ChromaDB semantic), Pattern extraction with detailed code examples…
Fleet Agent
A context-aware development assistant for AgenticFleet that maintains persistent memory across sessions using a hybrid NeonDB + ChromaDB architecture.
Memory Architecture
Dual Storage
- ChromaDB (Semantic): Skills, patterns, code snippets with embedding-based search
- NeonDB (Structured): Sessions, users, analytics, skill metadata with SQL queries
Context Layers
Core Memory (
.fleet/context/core/): Always loadedproject.md: Architecture, conventions, tech stackhuman.md: User preferences, communication stylepersona.md: Agent guidelines, tone
Topic Blocks (
.fleet/context/blocks/): Loaded on demandproject/: commands, conventions, gotchas, architectureworkflows/: git, reviewdecisions/: ADRs
Skills (ChromaDB + NeonDB): Semantic + structured patterns
Usage Examples
Learn a Pattern
/fleet-agent learn --name "add_dspy_agent" --category "agent" --content "Create agent via AgentFactory with DSPyEnhancedAgent wrapper..."Recall Information
/fleet-agent recall "DSPy typed signatures"
/fleet-agent context "add a new agent for web search"Analyze Code
/fleet-agent analyze src/agents/coordinator.pySession Management
/fleet-agent session start
/fleet-agent session status
/fleet-agent session summary "Completed agent creation workflow"Commands
| Command | Description |
|---|---|
learn --name <name> --category <cat> --content <code> | Save pattern to both databases |
recall <query> | Search NeonDB + ChromaDB |
context <task> | Load relevant context blocks |
analyze <file> | Analyze code structure |
session start | Start new session |
session status | Show current session |
session summary <text> | Save session summary |
stats | Show development metrics |
Auto-Learning
Automatically extracts and saves patterns after successful task completion with detailed code examples:
name: pattern_add_dspy_signature
category: dspy
description: How to create a DSPy signature with TypedPredictor
implementation: |
class TaskAnalysisOutput(BaseModel):
complexity: Literal["low", "medium", "high"]
class TaskAnalysis(dspy.Signature):
task: str = dspy.InputField(desc="Task to analyze")
analysis: TaskAnalysisOutput = dspy.OutputField()Implementation
Main script: .fleet/context/scripts/fleet_agent.py
Invocation: uv run python .fleet/context/scripts/fleet_agent.py <command>
Dependencies: neon_memory.py, chroma_driver.py, memory_loader.py
See Also
memory-system-guide.md: Complete memory system documentation.fleet/context/MEMORY.md: Memory hierarchy and commands
© Qredence, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .fleet/context/system/fleet-agent of Qredence/agentic-fleet.
Open the folder on GitHubat commit 46a254b
Compare with similar skills
Fleet Agent next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Fleet Agent this skillQredence/agentic-fleet | 111 | — | ~994 | Automated safety check: Pass | MIT | |
| Cognee Session Memory and Improvetopoteretes/cognee | 32k | — | ~3.2k | Automated safety check: Pass | Apache-2.0 | |
| Pydantic AI Harnesspydantic/pydantic-ai | 20k | — | ~4.9k | Automated safety check: Pass | MIT | |
| Claude Statusbarleeguooooo/claude-code-usage-bar | 377 | — | ~2.5k | Automated safety check: Pass | MIT | |
| RlmBowTiedSwan/rlm-skill | 182 | 1 repos | ~928 | Automated safety check: Pass | None | |
| File-Based Planning in ArabicOthmanAdi/planning-with-files | 27k | — | ~3.2k | Automated safety check: Notes | MIT |
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Related
Categories
Questions about Fleet Agent
What does Fleet Agent do?
Context-aware development assistant for AgenticFleet with auto-learning and dual memory (NeonDB + ChromaDB). Fleet Agent is an agent skill from Qredence/agentic-fleet. Context-aware development assistant for AgenticFleet with auto-learning and dual memory (NeonDB + ChromaDB).
When should I use Fleet Agent?
Fleet Agent fits situations like: tasks that involve Context engineering.
How do I install Fleet Agent in Claude Code?
Run `npx skills add Qredence/agentic-fleet --skill fleet-agent -a claude-code`. Or copy the skill folder (.fleet/context/system/fleet-agent in Qredence/agentic-fleet) into .claude/skills/fleet-agent in your project. Claude Code loads it when a task matches its description.
How do I install Fleet Agent in Codex?
Run `npx skills add Qredence/agentic-fleet --skill fleet-agent -a codex`. Or copy the skill folder (.fleet/context/system/fleet-agent in Qredence/agentic-fleet) into .agents/skills/fleet-agent in your project. Codex loads it when a task matches its description.
Can I use Fleet Agent in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Qredence/agentic-fleet --skill fleet-agent -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fleet-agent, .gemini/skills/fleet-agent, .github/skills/fleet-agent and .opencode/skills/fleet-agent in your project.
What does Fleet Agent need to run?
Going by SKILL.md and its folder, Fleet Agent needs the command-line tools its instructions call (uv). Our summary lists: Python 3.
Does Fleet Agent access the network?
SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Fleet Agent safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Fleet Agent use?
Fleet Agent is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Fleet Agent use?
About 994 tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Fleet Agent?
Skills that share tags, products or a category with Fleet Agent: Cognee Session Memory and Improve (topoteretes/cognee, 32k stars), Pydantic AI Harness (pydantic/pydantic-ai, 20k stars), Claude Statusbar (leeguooooo/claude-code-usage-bar, 377 stars) and Rlm (BowTiedSwan/rlm-skill, 182 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Fleet Agent?
Qredence (a GitHub organization) maintains it in Qredence/agentic-fleet, which has 111 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on April 13, 2026.
Source: Qredence/agentic-fleet on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.